Journal articles on the topic 'Rolling-mill machinery'

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1

Chen, Da Li, and Xue Hui Hua. "Large-Scale Board Host Rolls over the Production Line Main Electrical Machinery's Electric Control." Advanced Materials Research 479-481 (February 2012): 2433–37. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.2433.

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Elaborated the large-scale board rolling mill main electrical machinery electric control system, in view of main rolling mill request low speed, reliable, precise characteristic, has used Siemens Corporation's S7-300PLC, the 6RA70 installment and the corresponding intelligent module, causes the main rolling mill movement to be reliable, the precision is high, the intelligence is good, moreover might satisfy the different technological requirement. After the test, the use indicated that this system has achieved the design requirements.
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2

Liu, Hai Sheng, Jie Zhang, Kai Fu Mi, and Jun Xia Gao. "Simulation on Hydraulic-Mechanical Coupling Vibration of Cold Strip Rolling Mill Vertical System." Advanced Materials Research 694-697 (May 2013): 407–14. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.407.

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Based on vibration problems of a six roller cold rolling mill, hydraulic-machinery coupling vibration system dynamic model of the 2180mm 4-stand tandem cold rolling mills was built integrated the software of MATLAB and ADAMS and simulated. The simulation result was consistent with that of the field test data revealed by rolling mill vibration. Through the comparison of the vertical systems motion displacement, velocity, acceleration under the different work condition, coupling vibration causes and evolution mechanism was analyzed, that had practical value to further control mill motor behavior.
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3

Brusa, Eugenio, Cristiana Delprete, and Lorenzo Giorio. "Smart Manufacturing in Rolling Process Based on Thermal Safety Monitoring by Fiber Optics Sensors Equipping Mill Bearings." Applied Sciences 12, no. 9 (April 21, 2022): 4186. http://dx.doi.org/10.3390/app12094186.

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The steel rolling process is critical for safety and maintenance because of loading and thermal operating conditions. Machinery condition monitoring (MCM) increases the system’s safety, preventing the risk of fire, failure, and rupture. Equipping the mill bearings with sensors allows monitoring of the system in service and controls the heating of mill components. Fiber optic sensors detect loading condition, vibration, and irregular heating. In several systems, access to machinery is rather limited. Therefore, this paper preliminarily investigates how fiber optics can be effectively embedded within the mill cage to set up a smart manufacturing system. The fiber Bragg gratings (FBG) technology allows embedding sensors inside the pins of backup bearings and performing some prognosis and diagnosis activities. The study starts from the rolling mill layout and defines its accessibility, considering some real industrial cases. Testing of an FBG sensor prototype checks thermal monitoring capability inside a closed cavity, obtained on the surface of either the fixed pin of the backup bearing or the stator surrounding the outer ring. Results encourage the development of the whole prototype of the MCM system to be tested on a real mill cage in full operation.
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4

Klinkov, Maksim, and Roger Feist. "The Virtual Rolling Mill – Enhancing Product Development and Commissioning." Materials Science Forum 854 (May 2016): 231–36. http://dx.doi.org/10.4028/www.scientific.net/msf.854.231.

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Achenbach supplies worldwide with first-class customized rolling mills and machinery for the manufacturing of flat-rolled products from non-ferrous metals. In order to fulfil the customer-specific production requirements, Achenbach developed a wide variety of options for specific subjects. The control of the strip quality parameters like flatness or thickness in the rolling process is a key performance index.An increase of computation power in the field of industrial computers gave a chance to develop more complex model based control algorithms, which led to a significant improvement of the strip quality. In addition it gave an impulse for the development of a comprehensive mathematical model of the rolling mill.This paper will present the general virtual Achenbach Rolling Mill which is a digital representation of the rolling process in general and the behavior of the major actuators in the rolling process in detail. The behavior of drives, strip-tensions, and roll-gap is simulated in a multi-variable real-time environment. In the same environment the OPTIROLLi3®- model based controls can interact with the virtual machine. A vast number of challenges of the real rolling situation can be demonstrated by working on this ‘mill simulator’ and improved solutions are developed taking advantages from this platform. As the virtual machine allows all kinds of virtual testing without scrapping ‘real material’ a wide range of applications is possible for this virtual rolling mill. Some results from the SIL (software in loop) simulation will be presented for better clarity.
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5

Поляков, Борис, and Boris Polyakov. "Experience in CAD system introduction of rolling-mill machinery at Uralsmashzavod." Science intensive technologies in mechanical engineering 2, no. 12 (December 13, 2017): 40–46. http://dx.doi.org/10.12737/article_5a313b6558b440.24460803.

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A chronology and a sequence of works for more than 20 years in the development of different computer program packages which have formed a basis of a future CAD system of technologies and rolling-mill equipment at the enterprise of Uralsmashzavod are presented. The descriptions of the most efficient software packages are given to solve the optimization problems in different processes of blank deformation, parameters of mechanisms and their drives, design parameters of load-bearing parts and complex units from the point of view of strength and life obtaining.
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6

Bednyakov, V. V., E. A. Gudov, and S. A. Lagutin. "EZTM experience in designing and manufacturing of rolling mill main drive gearboxes." Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 76, no. 10 (October 18, 2020): 1035–42. http://dx.doi.org/10.32339/0135-5910-2020-10-1035-1042.

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The experience of the Electrostal Heavy Machinery Plant (EZTM) in designing and production of special gearboxes and gear stands for main drive of various rolling mills is summed up. The specifics of section and ball-rolling mills, piercing and reduction mills, mills for cold rolling of tubes and mills for the production of reinforcing bars are considered. It was shown that at designing of special gearboxes for the main drives of rolling mills, the designer, taking into account the parameters of the mill, must build a cyclogram of their loading, which depends both on the range of rolled products and on the variability of loads within the rolling cycle of one billet. In the Designing Department of EZTM, the strength calculation of gears of different types is carried out in the REDUK 4.3 software package, which allows performing strength calculations of gears taking into account the expected loading cyclogram. At the same time, the program provides the initial data for calculating the shafts and bearings, i.e, the forces in engagement and the rotational speed of each of the shafts for the first stage of the cyclogram. The geometrical parameters of the gears are optimized according to the criterion of contact and flexural strength, both between the stages and within each of them.The load sequence diagram depends both on the range of rolled products, and variable loadings in a rolling cycle of a workpiece. Geometric parameters of gears are optimized by contact and bending equal strength, as between the stages as within each of them. Carburizing, hardening and grinding of teeth are provided and secured technologically. Currently, the gearboxes manufactured by the plant are successfully operated at many metallurgical enterprises, both in Russia and abroad. Among them, the gearboxes of main drive of the piercing mill of the Seversk Pipe Plant, the mills for cold rolling of tubes in the USA and China, the section mills at the Yartsevo Casting and Rolling Plant, the reduction mill at the Dnepropetrovsk Metallurgical Plant, etc.
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7

Du, Rui, Zhiqi Liu, Lei Ge, Jinyuan Cui, and Lei He. "A New Electrohydraulic Hybrid Energy-Saving System Used on the Reversible Rolling Mills." Advances in Materials Science and Engineering 2023 (February 9, 2023): 1–17. http://dx.doi.org/10.1155/2023/3316392.

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In the face of the global energy crisis, the use of hybrid technology is an important way to achieve efficient energy storage and utilization. Hybrid systems have been successfully applied to automobiles and construction machinery, but no research study has been conducted on the design and application of energy recovery systems for reversible rolling mills. This article proposes a new type of noncoaxial parallel electrohydraulic hybrid drive system configuration for reversible rolling mills to save energy. It is proposed to collect the braking energy of the previous pass of the reversible rolling mill roll and the surplus power of the original primary drive motor and then start or accelerate the process for the next roll pass. A test experiment was established and the energy-saving efficiency of the proposed system was verified. By rolling 14 passes, 255.892 kJ of energy can be recovered. The overall energy efficiency rate is around 71.547%. The system will significantly promote energy saving, low carbon, green, and other aspects of the reversible rolling mills.
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8

Lin, Shuilin, Jianliang Sun, Chen Zhao, and Yan Peng. "Research on Dynamic Characteristics of the RBBH System Based on Dynamics Model and Vibration Data Fusion." Sensors 22, no. 10 (May 17, 2022): 3806. http://dx.doi.org/10.3390/s22103806.

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The roll-bearing-bearing housing (RBBH) system is one of the most common kernel structures used to determine strip mill stability and product surface quality in modern metallurgical machinery. To better understand dynamic characteristics of the RBBH system, this paper provides a nonlinear dynamic model and designs an engineering test platform on the RBBH system in the whole rolling process. First, a nonlinear dynamic model of the RBBH system supported by four-row rolling bearings under high speed and heavy load is established. Then, the method of combining Riccati transfer matrix and Newmark-β numerical integration is employed to solve nonlinear dynamic equations. After that, the engineering test platform is designed and assembled to capture and analyze the vibration signals of weathering steel (SPA-H) with finished thicknesses of 1.6 and 3.2 mm. Finally, the dynamic characteristics of the RBBH system are studied with the method of the dynamic model and vibration data fusion. The results show that the SPA-H with a finished thickness of 1.6 mm is rolled, the RBBH system fluctuates violently in both horizontal and vertical directions, and numerical results are highly consistent with experimental results in acceleration response, velocity response, and displacement response. In addition, the dynamic performance parameters of the four-row rolling bearing will also fluctuate greatly. Finally, there is significant interest to gain the benefits for the RBBH system design and mill stable rolling purposes.
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9

Tan, Jian. "Fast and Accurate Position Determination of Multimodal Couplings of Steel Rolling Machinery and Equipment Combined with Multimedia Optimized Particle Filters." Advances in Multimedia 2021 (December 11, 2021): 1–7. http://dx.doi.org/10.1155/2021/3693503.

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During the overhaul and maintenance of the transmission system of the modern rolling mill, a very common problem is the positioning of the motor and the reducer or speed increaser. The operation of the equipment and the service life of the equipment will be significantly affected by the accuracy of the multimodal coupling position determination. Therefore, precise positioning and rapid positioning must be achieved. This article intends to analyze how this type of equipment achieves rapid and accurate positioning and what factors will affect the location determination process.
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10

Tobin, Elizabeth H., and Jennifer Gibson. "The Meanings of Labor: East German Women's Work in the Transition from Nazism to Communism." Central European History 28, no. 3 (September 1995): 301–42. http://dx.doi.org/10.1017/s0008938900011857.

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In Christoph Wetzel's 1988 painting, An Everyday Story, the divided canvas proudly depicts women's accomplishments in the German Democratic Republic (Figure 1). On one side, a woman operates a large piece of heavy machinery in a rolling mill, cool and competent behind the enormous mass of metal and gears. On the other side, the same woman helps her two children prepare for school in the morning. In the act of combing her daughter's hair, she looks out directly at the viewer, her expression asking: “And what are you surprised at?” This painting, displayed as part of a 1995 exposition on art commissioned by government agencies in the GDR, graphically displays that government's ideological commitment to women's paid labor, especially in jobs that, in capitalist societies, are often thought to be inappropriate for women.
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11

Liu, Xin, Baoquan Jin, Hongjuan Zhang, and Xuefeng Bai. "Remote Monitoring System for Machinery-electric-hydraulic Coupling Vibration of Food Processing Rolling Mill Screw-down System." Advance Journal of Food Science and Technology 10, no. 5 (February 15, 2016): 360–64. http://dx.doi.org/10.19026/ajfst.10.2083.

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12

Dement'yev, V. B., and A. D. Zasypkin. "Comparative analysis of methods for improving the quality of hardened pipe and bar stock for agricultural machinery parts." Traktory i sel'hozmashiny 1, no. 2 (2021): 52–60. http://dx.doi.org/10.31992/0321-4443-2021-2-52-60.

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The problem of obtaining a high-quality surface is acute in thermal, chemical-thermal and ther-momechanical processing of products of rolling production. But, due to the fact that many metallur-gical plants are insufficiently equipped with cleaning tools for these types of processing, the re-quired surface quality of metal products is not ensured. Operations related to the removal of defects in the surface of rolled products employ from 30 to 60% of the workers in rolling shops. The need for cleaning leads to a rupture of the production flow, since the metal must be pre-cooled for inspec-tion and cleaning of defects. As a result, the total cost of cleaning is 2 - 3 times higher than the cost of performing the main technological operations - heating and deformation of the metal. In this re-gard, the combined methods of hot rolling with simultaneous hardening and elimination of surface defects are of particular interest, which gives significant energy savings and excludes etching opera-tions in solutions of sulfuric and hydrochloric acids. The paper considers new methods for stripping rolled stock before deformation in the high-temperature thermomechanical treatment (HTMT) mode of cylindrical hot-rolled solid and hollow billets with screw compression (SC) deformation, combining, along with a high-performance meth-od of shaping and strengthening of rolled products, environmentally friendly (acid-free) methods of surface cleaning, as well as methods of removing surface layer defects combined with mechanical processing. At the same time, simultaneously with cleaning the surface and increasing the accuracy of rolled products, the structure of the surface layer is formed by the mechanism of phase transfor-mations during thermomechanical processing. The type of fracture changes at low-temperature destruction from brittle to ductile. It should also be noted, that there is the need for further development of such well-proven clean-ing methods as blade and waterjet processing, which allow, when cleaning rolled products from any steel grades from scale, to implement the most reliable cleaning system, ensure effective removal of surface and deeper defects, increase yield, reduce energy consumption and fit well into the continu-ous rolling mill line. According to recent studies, waterjet treatment increases the fatigue life of hol-low cylindrical parts by up to 15%.
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13

Yadav, Rohit Suresh. "Management Information System for Milling Section at Sugar Factory." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1052–56. http://dx.doi.org/10.22214/ijraset.2022.39992.

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Abstract: One of the most important goals in any organization is increasing work force productivity Information systems, Systems are the responsibility of their data and their processing of information within the organization and managers to provide information on important economic decisions making. Hutatma Sahakari Sakhar Karakhana. Ltd. is well known sugar industry having 5000 tccpd to 6000 tccpd capability along with new constructed new ethanol plant and using different facility in this factory such as leveller, fibrizor, kicker, TRPS rolling mill, elevator, boiler, pan and centrifuge. Management Information System (MIS) in increasing human resource productivity. Savings in labor, increased consumer surplus, improved customer service quality, improved organizational efficiency, quicker response to customers, deeper knowledge and understanding of customers. The purpose of this Project is to surveying the effect of management information system of productivity and its elements such as work speed, work cost, work accuracy (efficiency) and supervision and control status improvement, planning status improvement and make decision status improvement (effectiveness) of overall machine, man and material to improve performance of all over machinery, information systems.
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14

Białobrzeska, Beata, Robert Jasiński, Łukasz Konat, and Łukasz Szczepański. "Analysis of the Properties of Hardox Extreme Steel and Possibilities of Its Applications in Machinery." Metals 11, no. 1 (January 17, 2021): 162. http://dx.doi.org/10.3390/met11010162.

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The article presents the results of Hardox Extreme steel tests in the as-delivered state from a steel mill (after quenching and tempering), and also in the normalized state. The research procedures included a microstructure analysis using light microscopy; and a static tensile test at ambient temperature to determine its Young’s modulus, yield strength, tensile strength, elongation and reduction in area after fracture. During the tensile tests, both the longitudinal and transverse orientation of rolling direction were taken into account. The Charpy impact test was also carried out in the temperature range of the ductile–brittle transition in connection with the fractographic analysis carried out with the use of a scanning microscope (SEM). The impact tests were carried out on samples in both directions on the plate, using the following temperatures: −40, −20, 0, +20 °C. Based on the structural and strength characteristics of Hardox Extreme steel determined on the basis of the research, in a further part of the paper the possibility of its use in machine construction elements operating in selected industrial sectors is considered/discussed, with a particular emphasis on reducing the level of energy consumption in the manufacturing and operation of the above technical facilities.
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15

Angelakis, Andreas N., Mohammad Valipour, Jörg Dietrich, Konstantinos Voudouris, Rohitashw Kumar, Miquel Salgot, Seyed Ali Mahmoudian, Anatoli Rontogianni, and Tsoutsos Theocharis. "Sustainable and Regenerative Development of Water Mills as an Example of Agricultural Technologies for Small Farms." Water 14, no. 10 (May 18, 2022): 1621. http://dx.doi.org/10.3390/w14101621.

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Nowadays, the reuse of built agricultural/industrial heritage has been a common practice worldwide. These structures represent excellent symbols of the great agricultural/industrial past. These agricultural/hydro-technologies also serve as monuments of socio-cultural identities, especially in rural areas and on small farms. One example of a successful application of agricultural technologies for small farms is the water mill. By harnessing the water energy, they were used for traditional flour and other goods production (e.g., olive oil) and works requiring energy, with the main role in the evolution of the traditional/cultural landscape. Water mills have been used to drive a mechanical process of milling, hammering, and rolling and are a portion of the agricultural, cultural, and industrial heritage. For approximately two millennia, the vertical mill water wheel prepared the initial source of mechanical power in many regions of the world. Water mills were the first device that converted natural resources of energy into mechanical energy in order to operate some form of machinery. The preservation/management of water mills is challenging due to their long-term abandonment and the lack of information/knowledge about their value. The other obstacles that are faced in their retrofitting and/or preservation are the lack of sufficient economic incentives and complex authorizations/legislations. Sustainability and regeneration of water mills through the centuries are then reviewed for history and agricultural/industrial “archaeology”. The history of water-powered mills in prehistoric and historic times, including ancient Persia/Iran, ancient China, ancient India, the Islamic world, Venetian Crete, medieval Europe, America, and finally present times, is discussed. The outcome of this review allows the understanding of the importance of conservation, optimization, and development of water mills. It will help to know more and achieve sustainable/regenerative development for small farms with respect to water and energy crises at present and in the future.
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Ishchenko, A. O., D. O. Rassokhin, and O. V. Nosovska. "Restoration of rolled equipment using composite materials." Reporter of the Priazovskyi State Technical University. Section: Technical sciences, no. 46 (June 29, 2023): 55–61. http://dx.doi.org/10.31498/2225-6733.46.2023.288125.

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In recent years, polymer materials with various adhesive compounds based on epoxy resins, polyesters, polyurethanes, polyacrylics, and others enriched with fine-dispersed metallic and other fillers have found wide application in various industrial sectors for equipment repair. These composite repair materials have excellent adhesive properties when applied to metal surfaces, and when combined with their high strength and the ability to transition from a plastic to a solid state without shrinkage in a short period of time, they provide a broad range of applications in solving repair problems. A technology for restoring the original dimensions of equipment parts using composite materials has been developed, eliminating the need for welding and milling. Numerous industrial tests have shown that composite materials allow solving a range of serious repair problems in rolling production, particularly on heavily loaded sheet rolling stands and blooming mills when restoring worn contact surfaces of this equipment. An original technology for the application of composite materials was developed at the Pryazovskyi State Technical University (Mariupol, Ukraine), which allowed for a unique repair operation at one of the metallurgical plants, involving the installation of a new blooming mill housing onto old worn plates with wear of up to 7 mm at certain points. These composite repair materials have excellent adhesion properties when applied to metal surfaces, which, in combination with their high strength and the ability to transition from a plastic to a solid state without shrinkage in a short period of time, provide a wide range of applications in solving repair problems. Additionally, there are cases of damage to certain types of machinery that are either impossible to repair using traditional methods or require significant material and time investments for restoration
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17

Liu, Xiao Hui, Yong Gang Xu, De Ying Guo, and Fei Liu. "Mill Gear Box of Intelligent Diagnosis Based on Support Vector Machine Parameters Optimization." Applied Mechanics and Materials 697 (November 2014): 239–43. http://dx.doi.org/10.4028/www.scientific.net/amm.697.239.

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For mill gearbox fault detection problems, and puts forward combining support vector machine (SVM) and genetic algorithm, is applied to rolling mill gear box fault intelligent diagnosis methods. The choice of parameters of support vector machine (SVM) is a very important for the SVM performance evaluation factors. For the selection of structural parameters of support vector machine (SVM) with no theoretical support, select and difficult cases, in order to reduce the SVM in this respect, puts forward the genetic algorithm to optimize parameters, and the algorithm of the model is applied to rolling mill gear box in intelligent diagnosis, using the global searching property of genetic algorithm and support vector machine (SVM) of the optimal parameter values. Results showed that the suitable avoided into local solution optimization, the method to improve the diagnostic accuracy and is a very effective method of parameter optimization, and intelligent diagnosis for rolling mill gear box provides an effective method.
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18

Laber, Konrad Błażej, Henryk Dyja, and Sebastian Mróz. "The Influence of Rolling Temperature on the Energy and Force Parameters during Normalizing Rolling of Plain Round Bars." Materials Science Forum 638-642 (January 2010): 2628–33. http://dx.doi.org/10.4028/www.scientific.net/msf.638-642.2628.

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The paper presents results of theoretical and experimental studies on the influence of strip temperature reduction at the final stage of the normalizing rolling process in a continuous bar rolling mill on the energy and force parameters. The studies were carried out for 38 mm-diameter round bars of constructional steel S355J2G3 (St52-3 acc. to DIN). At the first stage, numerical modelling of the rolling process was performed for the conditions of the currently used rolling technology. The aim of this stage of the work was to determine the distribution of strip temperature during the rolling process and of strip temperature after the rolling process. The obtained computation results were compared with the measurement results recorded during the actual rolling process using a thermovision camera. A computer program designed for three-dimensional modelling of metal flow during rolling in passes was used for the determination of the distribution of strip temperature during rolling. The second stage of the studies included modelling of the bar rolling technology modified by applying normalizing rolling after introducing accelerated strip cooling at the final stage of rolling. The aim of this stage of the work was to establish the influence of reduced strip temperature on the change in the values of the energy and force parameters of the process. By comparing the computed values of rolling power with those of the permissible power it was found that these values were lower than the permissible power of the rolling machine’s main drives installed in the Rolling Mill under analysis. Thus, it was demonstrated that it was possible to implement the process of normalizing rolling in the conditions of the Shape Mill under study.
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David, Jiří, Pavel Švec, Vít Pasker, and Romana Garzinová. "Usage of Real Time Machine Vision in Rolling Mill." Sustainability 13, no. 7 (March 31, 2021): 3851. http://dx.doi.org/10.3390/su13073851.

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This article deals with the issue of computer vision on a rolling mill. The main goal of this article is to describe the designed and implemented algorithm for the automatic identification of the character string of billets on the rolling mill. The algorithm allows the conversion of image information from the front of the billet, which enters the rolling process, into a string of characters, which is further used to control the technological process. The purpose of this identification is to prevent the input pieces from being confused because different parameters of the rolling process are set for different pieces. In solving this task, it was necessary to design the optimal technical equipment for image capture, choose the appropriate lighting, search for text and recognize individual symbols, and insert them into the control system. The research methodology is based on the empirical-quantitative principle, the basis of which is the analysis of experimentally obtained data (photographs of billet faces) in real operating conditions leading to their interpretation (transformation into the shape of a digital chain). The first part of the article briefly describes the billet identification system from the point of view of technology and hardware resources. The next parts are devoted to the main parts of the algorithm of automatic identification—optical recognition of strings and recognition of individual characters of the chain using artificial intelligence. The method of optical character recognition using artificial neural networks is the basic algorithm of the system of automatic identification of billets and eliminates ambiguities during their further processing. Successful implementation of the automatic inspection system will increase the share of operation automation and lead to ensuring automatic inspection of steel billets according to the production plan. This issue is related to the trend of digitization of individual technological processes in metallurgy and also to the social sustainability of processes, which means the elimination of human errors in the management of the billet rolling process.
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Usynin, Yu S., and M. A. Grigoriev. "A Thermal Model of an Electric Rolling-Mill Machine." Russian Electrical Engineering 93, no. 2 (February 2022): 71–75. http://dx.doi.org/10.3103/s1068371222020146.

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Gao, Yi, Ping Cai, Feng Chen, and Ru Qin. "Study on Temperature Rise Modeling of Main Motor of Hot Rolling Mill Based on Support Vector Machines." Applied Mechanics and Materials 870 (September 2017): 427–31. http://dx.doi.org/10.4028/www.scientific.net/amm.870.427.

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Along with the ongoing process of the adjustment of industrial structure in China, overcapacity of the traditional heavy industry has become an issue of deep concern, and the direct consequence of overcapacity is energy waste. Tandem rolling mill is the typical equipment whose designed capacity is greater that the current real need. In many steel mills the practical work load of tandem rolling mill is far below the rated, while its forced-air cooling motor still runs at full capacity regardless of any change of heat load or season, leading to energy waste. Adjusting drive frequency of the air cooling motor according to its heat load is a practical and feasible measure for energy saving. As one of the important aspects of variable speed control of the air-cooling motor, to establish a precise temperature rise model for the object is critical. This research focuses on the temperature rise modeling of the main motor of hot rolling mill. The temperature rise mechanism of the main motor is first analyzed, and then the support vector machines regression algorithm is used for parameter identification of the model. To ensure the security and reliability of the production line, different penalty coefficients are adopted for positive error and negative error. Long term workshop data are collected and used for comparison with the predicted data. Comparison results demonstrate the feasibility of the established model.
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O’Leary, Paul. "Machine vision for feedback control in a steel rolling mill." Computers in Industry 56, no. 8-9 (December 2005): 997–1004. http://dx.doi.org/10.1016/j.compind.2005.05.023.

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Kiss, Imre. "Laboratory Researches upon the thermal fatigue of the organs of machines in movement of rotation, in variable temperature mediums." Analecta Technica Szegedinensia 8, no. 1 (January 11, 2014): 59–65. http://dx.doi.org/10.14232/analecta.2014.1.59-65.

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The researches of durability in the exploitation of cast-iron rolls define experimentally an important chapter from the thermal fatigue of the organs of machines in the movement of rotation, in variable temperature mediums. The researches on the durability in exploitation of hot rolling mill rolls represent an important scientific and economical issue. This paper presents original experimental equipment by the help of which the durability of hot rolling mills can be studied. This experimental equipment permits the evaluation of exploitation durability for hot rolls by studying the thermal fatigue phenomenon which appears in the case of machine components. The exploitation durability is evaluated through thermal fatigue cycles up to crack point due to thermal fatigue for each condition and each type of studied material. The study represents a detailed approach of the influence of various technological factors on the durability in exploitation of rolling mill rolls made of different steel and pig iron grades and suggests solutions meant to increase the durability of the rolls in exploitation.
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Souto, Manuel Álvarez, Andrés Fernández, and Luciano Guerra. "Real machine vision use-cases applied to hot rolling mill plants." Procedia Manufacturing 51 (2020): 280–87. http://dx.doi.org/10.1016/j.promfg.2020.10.040.

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Ralph, Benjamin James, Marcel Sorger, Karin Hartl, Andreas Schwarz-Gsaxner, Florian Messner, and Martin Stockinger. "Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning." Journal of Intelligent Manufacturing 33, no. 2 (October 24, 2021): 493–518. http://dx.doi.org/10.1007/s10845-021-01856-2.

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AbstractThis paper describes the transformation of a rolling mill aggregate from a stand-alone solution to a fully integrated cyber physical production system. Within this process, already existing load cells were substituted and additional inductive and magnetic displacement sensors were applied. After calibration, those were fully integrated into a six-layer digitalization architecture at the Smart Forming Lab at the Chair of Metal Forming (Montanuniversitaet Leoben). Within this framework, two front end human machine interfaces were designed, where the first one serves as a condition monitoring system during the rolling process. The second user interface visualizes the result of a resilient machine learning algorithm, which was designed using Python and is not just able to predict and adapt the resulting rolling schedule of a defined metal sheet, but also to learn from additional rolling mill schedules carried out. This algorithm was created on the basis of a black box approach, using data from more than 1900 milling steps with varying roll gap height, sheet width and friction conditions. As a result, the developed program is able to interpolate and extrapolate between these parameters as well as different initial sheet thicknesses, serving as a digital twin for data-based recommendations on schedule changes between different rolling process steps. Furthermore, via the second user interface, it is possible to visualize the influence of this parameters on the result of the milling process. As the whole layer system runs on an internal server at the university, students and other interested parties are able to access the visualization and can therefore use the environment to deepen their knowledge within the characteristics and influence of the sheet metal rolling process as well as data science and especially fundamentals of machine learning. This algorithm also serves as a basis for further integration of materials science based data for the prediction of the influence of different materials on the rolling result. To do so, the rolled specimens were also analyzed regarding the influence of the plastic strain path on their mechanical properties, including anisotropy and materials’ strength.
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Soloviev, Yu E., and I. A. Kovaleva. "Rational redistribution of waste of resources. Manufacturing of equipment for cutting machine." Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY), no. 3 (October 16, 2019): 96–98. http://dx.doi.org/10.21122/1683-6065-2019-3-96-98.

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Almost all metal at OJSC «Byelorussian Steel Works» – management company of holding «Belarusian Metallurgical Company» includes today a mandatory physical-mechanical tests which allow to estimate the parameters of the raw materials, to know the reasons for loss of strength and determine operational characteristics. In the Central Factory Laboratory (CFL), laboratory of physical and mechanical tests (LPMT) for the preparation of samples of reinforcement equipment is used of knives in the cutting machine SIMA GEL-30 for cutting rebar from the mill 320 rolling shop № 1 with a diameter from 6 to 24 mm. In the drop-hummer shop annually discards off for scrap waste up to 50 knives. Hydraulic shears of drop-hummer shop used knives set of production of OJSC «Kobrin tool plant «SITOMO», made of steel grade 30ХСНВФА, according to the TU14-1-4461. The staff of the Central laboratory LFMI proposed to use waste knives drop-hummer shop for the manufacture of knives for the chopping of the machine SIMA GEL-30. On the basis of the conducted researches the technological scheme was developed for production of knives for the chopping of the machine SIMA GEL-30 cold cutting of reinforcing bar mill 320 the rolling shop № 1.
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Wang, Yong Qin, Li Li, Yuan Xin Luo, and Xing Chun Yan. "Study on the Dynamics Performance of the Drive Train of Flying Shear Machine." Applied Mechanics and Materials 121-126 (October 2011): 1397–401. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.1397.

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Flying shear machine is widely used in continuous rolling mill production line, and its performance is largely depended on the transmission system. Here a model is established with multiple backlashes, time-varying mesh stiffness and error excitation to investigate the dynamics performance of the transmission system during the process. Also, effects of parameters are discussed. It’s believed that it will be helpful for the design of the flying shear machine
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Yu, Chun Yue, and Xiao Chuan Luo. "An Equilibrium Principle on the AON Network for Single-Machine Scheduling Problem with Time Lags." Applied Mechanics and Materials 44-47 (December 2010): 3692–96. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3692.

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The NP-hard single-machine scheduling problem with time lags while minimizing the completion time could be described with an AON (Activity-On-Node) network. An equilibrium principle was discovered and proved on the AON network for single-machine scheduling problem. As a testing problem, plate hot rolling scheduling is a type of single-machine scheduling problem with time lags. For the scheduling problem, a nonlinear mathematic optimization model, which maximizes utilization of the rolling mill, was established based on the equilibrium principle and was solved by software LINGO. Computation examples demonstrated that the new method could solve effectively the single-machine scheduling problem with time lags by equilibrium principle on the AON network.
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Evseev, Dmitriy, Vladimir Biryukov, Yuriy Kulikov, and Anton Yakubovsky. "TECHNOLOGIES FOR INCREASING THE DURABILITY OF PASSENGER CAR WHEELS." Transport engineering 2024, no. 3 (March 13, 2024): 41–48. http://dx.doi.org/10.30987/2782-5957-2024-3-41-48.

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The cut of passenger cars due to wear damage to the rolling surface of the wheelset in 2022 is considered. It is found out that the most typical damage is a shelled tread. An analysis of the methods for restoring the rolling profile of wheels showed that the wheel milling with an end mill can be used as a promising one. To assess the effectiveness of the method, metallographic and tribological studies of wheel samples subjected to turning and milling are compared. According to the study results, it is found that when machining samples of wheel steel by end milling, their wear resistance is 22% higher, compared with samples machined by turning, the wear rate of samples of rail steel is lower in a friction pair with milled samples than with turned samples due to a decrease in the friction factor of milling samples.
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Vydrin, A., V. Neroznikov, D. Zvonarev, and K. Trubnikov. "ANALYSIS OF THE INFLUENCE OF SETTING PARAMETERS WASHING MACHINE ON THE CHANGE OF CASE WALL DIAMETER AND THICKNESS." Bulletin of the South Ural State University Series ‘Metallurgy’ 22, no. 1 (2022): 42–52. http://dx.doi.org/10.14529/met220105.

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In the production of seamless pipes, a mass method is the use of billet piercing at helical rolling mills with the first rolling at longitudinal rolling mills. At the same time, increased requirements are imposed on the quality and geometric parameters of finished pipes. Geometric parameters include such as wall thickness, diameter, thickness variation. In this case, the difference in thickness mainly affects the quality of the liner. It is known that the same geometric parameters of the sleeve (diameter and wall thickness) can be obtained at different distances between the rolls, the distance between the holding tool, the extension of the mandrel beyond the clamping. However, in this case, the difference in thickness of the liners will be different. In addition to the tuning parameters, the degree of tool wear, in particular, the mandrel of the piercing mill, also affects the thickness difference. It was found that as the mandrel of the piercing mill wears out, the diameter of the liner monotonically increases, which leads to a redistribution of the liner wall, and, accordingly, the difference in liner thickness. This work is devoted to the search for rational tuning parameters in order to minimize the thickness difference. An experimental plan was developed using modeling in the QForm environment. The obtained sleeves were processed according to the geometric parameters. Based on the data, the mean square error coefficient (RSME) was calculated for various models of regression equations. For the selected model, nomograms of the distribution of thickness variation, wall thickness, and sleeve diameter were constructed depending on the tuning parameters. These nomograms can be used in industrial practice for the operational calculation of geometric parameters when the conditions for piercing workpieces change. As a project, recommendations were developed for obtaining liners with a wall thickness of 17 mm with a minimum thickness difference.
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Ogawa, Keiji, Takumi Imada, Haruki Kino, Heisaburo Nakagawa, and Hitomi Kojima. "Micro-End-Milling with Small Diameter Left Hand Helical Tool for High Quality Vertical Wall Machining." International Journal of Automation Technology 13, no. 5 (September 5, 2019): 639–47. http://dx.doi.org/10.20965/ijat.2019.p0639.

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The demand for micro-end-milling for products in fields such as the medical, optical, and electronics industry is increasing. However, when machining with a small diameter end-mill (micro-end-mill) with diameters such as 0.5 mm, the rigidity of the tool itself is low; hence, the cutting conditions must be set to low values to achieve stable machining. Therefore, we examined various cutting phenomena that occur during actual machining processes to achieve high machining accuracy, high finished-surface quality, and long tool life. Some studies on micromachining achieved high accuracy, high-grade machining by considering the cutting phenomena. In previous papers, we dealt with the side-cutting phenomena in micro-end-milling of hardened die steels using a high-speed air-turbine spindle with rolling bearing. Cutting experiments were carried out by measuring the cutting force and flank wear of a cutting tool to investigate the difference in cutting phenomena caused by cutting direction in high-speed micro-end-milling. Observation of the machined surface and measurement of the profile of the cutting edge and machined surface were demonstrated. It was revealed that machining quality in high-speed up-cut milling was better than that in down-cut milling. Shoulder cutting, in which both peripheral and bottom cutting edges act simultaneously on the workpiece, was also investigated. A novel small diameter end-mill with left-hand helical tool with right-hand cut was developed to avoid damaging the cutting edge in the initial cutting stage. In the present study, high-quality shoulder cutting of a vertical wall using the new tool was proposed and demonstrated.
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Usenko, Yu I., V. I. Ivanov, V. P. Gritsai, E. N. Vorob'eva, and T. N. Nesterenko. "Universal machines for creating roughness on the working surface of cold-rolling mill rolls." Metallurgist 40, no. 12 (December 1996): 238–40. http://dx.doi.org/10.1007/bf02334659.

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., T. A. Madankar. "INNOVATIVE CONCEPT OF COILING MACHINE INTEGRATED WITH ROLLING MILL TO REPLACE THE STIRRUP MAKING PRACTICES." International Journal of Research in Engineering and Technology 04, no. 10 (October 25, 2015): 448–51. http://dx.doi.org/10.15623/ijret.2015.0410073.

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Wang, Yong Qin, Fei Yu Wang, and Yuan Xin Luo. "Effect of Transmission Error on the Fluctuating Tension Force for Dual-Coiler Machine." Applied Mechanics and Materials 86 (August 2011): 434–38. http://dx.doi.org/10.4028/www.scientific.net/amm.86.434.

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Dual-coiler is one of the most advanced coiling equipment designed for collecting strips in the rolling mill production line for the purpose of storing/transportation. The quality of the steel strip is largely affected by the tension force. This paper devotes to investigate the fluctuating tension force on the steel strip during the coiling process. The dynamics model of driveline is built for simulate the transmission error which is the main cause of the fluctuating tension force. In the proposed model, the time-varying meshing stiffness and damping, and the stiffness of strip are considered. A set of data are measured from the production line for evaluating the presented model. It’s believed that the proposed model can be used for improving the mechanical design of the machine.
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Mirandola, Irene, Guido A. Berti, Roberto Caracciolo, Seungro Lee, Naksoo Kim, and Luca Quagliato. "Machine Learning-Based Models for the Estimation of the Energy Consumption in Metal Forming Processes." Metals 11, no. 5 (May 19, 2021): 833. http://dx.doi.org/10.3390/met11050833.

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This research provides an insight on the performances of machine learning (ML)-based algorithms for the estimation of the energy consumption in metal forming processes and is applied to the radial-axial ring rolling process. To define the mutual influence between ring geometry, process settings, and ring rolling mill geometries with the resulting energy consumption, measured in terms of the force integral over the processing time (FIOT), FEM simulations have been implemented in the commercial SW Simufact Forming 15. A total of 380 finite element simulations with rings ranging from 650 mm < DF < 2000 mm have been implemented and constitute the bulk of the training and validation datasets. Both finite element simulation settings (input), as well as the FI (output), have been utilized for the training of eight machine learning models, implemented with Python scripts. The results allow defining that the Gradient Boosting (GB) method is the most reliable for the FIOT prediction in forming processes, being its maximum and average errors equal to 9.03% and 3.18%, respectively. The trained ML models have been also applied to own and literature experimental cases, showing a maximum and average error equal to 8.00% and 5.70%, respectively, thus proving once again its reliability.
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36

Yang, Xiao Jing, and Jia Xin Wang. "The Design of Feed Drive System of Economical CNC Milling Machine." Applied Mechanics and Materials 701-702 (December 2014): 780–83. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.780.

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The feed drive system is important functional components which effects on precision and efficiency of transmission and cost of CNC milling machine tools. So the designe of the feed drive system of economical CNC milling machine tool is researched. Firtsly the general design scheme which includes the transmission scheme and basic parameters of CNC milling machine tool is determined. Then according to the milling force calculated during mill processing, linear rolling guide, ball screw and stepping motor of X axis and Y axis of feed drive system are respectively calculated, selected and checked in detail. Using the Solid works software for 3D modeling and assembly of mechanical parts of feed drive system, By the scheme comparison, selecting the CNC system of Huazhong century star HNC-21 and accomplishing the electrical connection of CNC system.The feed drive system of economical CNC milling machine in the desing is high performance and low cost,and meet accuracy requirement.
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Zinyagin, A. G., A. V. Muntin, and M. O. Kryuchkova. "Study of pipe steel resistance to deformation in laboratory conditions and on the data from industrial rolling with the use of machine learning tools." Izvestiya. Ferrous Metallurgy 66, no. 1 (March 1, 2023): 70–79. http://dx.doi.org/10.17073/0368-0797-2023-1-70-79.

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The study of resistance to deformation of various steel grades is one of the key issues for the adequate operation of automation systems, which makes it possible to obtain rolled products with the required accuracy in terms of geometric characteristics. In addition, knowledge of deformation resistance is important in the design of rolling mill equipment. In the literature, the values ​​of deformation resistance in the overwhelming majority of cases are given in the form of coefficients of various equations (for example, Hensel-Spittel). However, these formulas often have limitations in the range of technological parameters where they give an acceptable result. It should also be considered that dozens of steel grades are produced at modern rolling mills, and their chemical composition can vary over a wide range depending on the final thickness of rolled products, customer requirements, or based on economic considerations (the most advantageous alloying composition). The study of the rheological properties of such a quantity of materials in the laboratory is expensive, long-term, and labor-intensive, and the literature sources do not provide completeness of the data. The article shows that, using data from industrial rolling mills and machine learning methods, it is possible to obtain information about the rheology of the material with satisfactory accuracy, which makes it possible to avoid laboratory studies. Carrying out such studies is possible due to the high saturation of modern rolling mills with various sensors and measuring instruments. Comparison of the results from industrial data was carried out with the values ​​of the deformation resistance obtained on the Gleeble machine. Based on this comparison, the model was trained based on gradient boosting to take into account the features of the technological process in industrial production.
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38

Mostashfi, Amir, Mahmoud Kadkhodaei, Mehrdad Poursina, and Saeid R. Bakhshi. "An investigative study on the performance of twist roll machine in a continuous cold strip rolling mill." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 8 (November 30, 2012): 1633–49. http://dx.doi.org/10.1177/0954406212469149.

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In many modern continuous production lines of steel sheets, a twist roll machine is used to change the strip direction for shortening the production line. A twist roll machine typically consists of a cylindrical body on which some guide rollers are mounted in rows to gradually change the traveling direction of the strip when passes over the guide rollers. In this article, quality of the sheets after exiting an industrial twist roll machine is first investigated. The amount and distribution of wear on the guide rollers are also assessed by measuring and comparing diameter at different sections of selected worn and new guide rollers. The specific wear rate as well as friction coefficient for guide rollers made of two different popular polymers is measured by pin-on-disk wear tests. Details of the strip path on the twist roll machine as well as contact between the strip and all the guide rollers are specified, and stress distribution in strip and the guide rollers is studied by finite element analysis. Effects of the guide rollers material and arrangement, the bridle rolls tension, and width and thickness of the strip on the amount and distribution of wear on the guide rollers as well as the elasto-plastic response of the strip are studied. The results are utilized to propose techniques for reducing defects on the sheet and the guide rollers, and finite element simulations show the effectiveness of these techniques.
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39

Кандроков, Р. Х., and К. С. Бекшоков. "Simulation of bakery grinding of soft wheat using a 4-roll roller machine." Food processing industry, no. 3 (March 2, 2023): 82–87. http://dx.doi.org/10.52653/ppi.2023.3.3.017.

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Зерновка главной злаковой культуры России – пшеницы – является одним из основных источников питательных веществ – белков, углеводов, липидов; биологически активных веществ – витаминов, ферментов, минеральных веществ, микро- и макронутриентов. Одним из современных способов повышения эффективности переработки зерна мягкой пшеницы на мукомольных заводах является использование 4-валковых спаренных вальцовых станков вместо традиционных 2-валковых вальцовых станков на I и II драных системах и 1-й и 2-й размольных системах. Представлены результаты исследования по определению влияния использования 4-валкового вальцового станка по сравнению с использованием 2-валкового вальцового станка на выход сортовой хлебопекарной муки и на крупообразующую способность при размоле зерна пшеницы различных сортов и помольных смесей. В качестве объекта исследований использовали сорта озимого зерна пшеницы Орловская 32 и Синева, Тимирязевская Юбилейная, Московская 56 и Немчиновская 24 урожая 2021 г. Выявлено, что при размоле зерна озимой пшеницы сорта Тимирязевская Юбилейная с применением 2-валкового вальцового станка общий выход пшеничной муки составил 78,5 %, что на 1,0 % больше, чем выход пшеничной муки с применением 2-валкового вальцового станка. При этом выход пшеничной муки высшего сорта составил 31,7 % при применении 2-валкового вальцового станка и 48,4 % при применении 4-валкового вальцового станка, что на 16,7 % больше по сравнению с традиционным способом измельчения зерна пшеницы. Несмотря на то, что общий выход пшеничной муки при использовании 4-валкового вальцового станка меньше на 1,0 % по сравнению с использованием 2-валкового вальцового станка, за счет большего выхода муки высшего сорта на 16,7 % большей эффективностью отличается 4-валковый вальцовый станок. Установлено, что при размоле помольной смеси зерна озимой пшеницы, состоящей из 50 % сорта Московская 56 и 50 % сорта Немчиновская 24, с применением 2-валкового вальцового станка общий выход пшеничной муки составил 81,2 %, что на 0,7 % меньше, чем с применением 4-валкового вальцового станка. При этом выход пшеничной муки 1-го сорта составил 61,3 % при применении 2-валкового вальцового станка и 71,9 % при применении 4-валкового вальцового станка, что на 10,6 % больше по сравнению с традиционным способом измельчении зерна пшеницы. Несмотря на то, что общий выход муки при использовании 4-валкового вальцового станка меньше на 0,6 %, за счет большего выхода муки 1-го сорта на 10,6 % по сравнению с использованием 2-валкового вальцового станка большей эффективностью отличается 4-валковый вальцовый станок. The caryopsis of the main cereal crop in Russia – wheat, is one of the main sources of nutrients – proteins, carbohydrates, lipids; biologically active substances – vitamins, enzymes, minerals, micro- and macronutrients. One of the modern ways to increase the efficiency of processing grain of soft wheat at flour mills is the use of 4-roll twin roller machines instead of traditional 2-roll roller machines on I and II tattered systems and 1 and 2 grinding systems. The results of a study to determine the effect of using a 4-roller roller mill compared to the use of a 2-roller roller mill on the output of varietal baking flour and on the groat-forming ability when grinding wheat grains of various varieties and grinding mixtures are presented. As an object of research, we used varieties of winter wheat grain Orlovskaya 32 and Sineva, Timiryazevskaya Yubileynaya, Moskovskaya 56 and Nemchinovskaya 24 harvested in 2021. It was revealed that when grinding the grain of winter wheat of the Timiryazevskaya Yubileinaya variety using a 2-roll roller mill, the total wheat flour yield was 78.5 %, which is 1.0 % more than the yield of wheat flour using a 2-roll roller mill. At the same time, the yield of wheat flour of the highest grade was 31.7 % when using a 2-roll roller machine and 48.4 % when using a 4-roll roller machine, which is 16.7 % more compared to the traditional method of grinding wheat grain. Despite the fact that the total yield of wheat flour when using a 4-roll rolling machine is 1.0 % less compared to using a 2-roll rolling machine, due to the higher yield of premium flour by 16.7 %, it is the most efficient 4-roll roller machine. It has been established that when grinding the grinding mixture of winter wheat grain, consisting of 50 % of the Moskovskaya 56 variety and 50 % of the Nemchinovskaya 24 variety using a 2-roll r olling machine, the total wheat flour yield was 81.2 %, which is 0.7 % less than with using a 4-roll roller mill. At the same time, the yield of wheat flour of the first grade was 61.3 % when using a 2-roll roller machine and 71.9 % when using a 4-roll roller machine, which is 10.6 % more compared to the traditional method of grinding wheat grain. Despite the fact that the total flour yield when using a 4-roll roller mill is less by 0.6 %, due to the higher yield of flour of the 1st grade by 10.6 % compared to using a 2-roll roller mill, it is most efficient. 4-roll roller machine.
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40

LUKIN, SERGEY V., NIKOLAY I. SHESTAKOV, MICHAIL V. PAVLOV, KONSTANTIN YU LEVASHEV, and ALEKSEY A. ZBRODOV. "MATHEMATICAL MODELING AND OPTIMIZATION OF HEAT PROCESSING OF SQUARE CROSS SECTION STEEL BAR ON THE TECHNOLOGICAL LINE “CONTINUOUS CASTING MACHINE - TUNNEL THERMOS - HEATING FURNACE”." Cherepovets State University Bulletin 1, no. 100 (2021): 41–55. http://dx.doi.org/10.23859/1994-0637-2021-1-100-3.

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The PAO Severstal continuous casting machine (CCM) casts square section 100´100 and 150´150 mm billets that after the gas cutting have average temperature 1000-1100 °С. Then billets CCM, transported to the section mill shop, should be placed into a tunnel thermos for preserving their sensible heat and temperature leveling along their section. In this case hot billets are loadedin the heating furnaces, and heating of the billets to required temperature before rolling can be accelerated several times, increasing capacity of the heating furnace and diminishing the specific fuel consumption. The authors present the mathematical model that allows evaluating the heat state of a square section billet on the technological line “CCM - thermos - heating furnace”. The results of numerical simulation of the billet heat state at optimal modes of heat treatment in the thermos and the heating furnace are given.
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41

Panoiu, Manuela, Caius Panoiu, and Petru Ivascanu. "Power Factor Modelling and Prediction at the Hot Rolling Mills’ Power Supply Using Machine Learning Algorithms." Mathematics 12, no. 6 (March 13, 2024): 839. http://dx.doi.org/10.3390/math12060839.

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The power supply is crucial in the present day due to the negative impacts of poor power quality on the electric grid. In this research, we employed deep learning methods to investigate the power factor, which is a significant indicator of power quality. A multi-step forecast was developed for the power factor in the power supply installation of a hot rolling mill, extending beyond the horizontal line. This was conducted using data obtained from the respective electrical supply system. The forecast was developed via hybrid RNN (recurrent neural networks) incorporating LSTM (long short-term memory) and GRU (gated recurrent unit) layers. This research utilized hybrid recurrent neural network designs with deep learning methods to build several power factor models. These layers have advantages for time series forecasting. After conducting time series forecasting, qualitative indicators of the prediction were identified, including the sMAPE (Symmetric Mean Absolute Percentage Error) and regression coefficient. In this paper, the authors examined the quality of applied models and forecasts utilizing these indicators, both in the short term and long term.
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42

Grewal, Gurinderbir Singh, and Bharat Singh Rajpurohit. "Energy Management by Role of Energy-Efficient Machines and Rescheduling of Transformer Load in Steel Rolling Mill: A Case Study." Journal of The Institution of Engineers (India): Series B 100, no. 3 (February 15, 2019): 277–84. http://dx.doi.org/10.1007/s40031-019-00371-6.

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43

Shakhanov, Nikita, Olga Yudina, Evgeny Ershov, Lyudmila Vinogradova, Maxim Mishutushkin, and Igor Varfolomeev. "ASSESSING THE CONDITION OF THE DISCHARGE ROLLER TABLE AT THE ROLLING MILL 2000 PAO “SEVERSTAL” BASED ON DATA ANALYSIS AND MACHINE LEARNING." Cherepovets State University Bulletin 2, no. 95 (2020): 47–55. http://dx.doi.org/10.23859/1994-0637-2020-2-95-4.

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44

Cho, Hyun-Sung. "A study on the acquisition of steel mill rolling production data using filters and preventive maintenance methods by improving the efficiency of machine learning." Journal of the Korea Academia-Industrial cooperation Society 24, no. 4 (April 30, 2023): 1–12. http://dx.doi.org/10.5762/kais.2023.24.4.1.

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45

Kasyanov, Valery, Viktor Deryushev, Evgeny Kosenko, Vera Kosenko, and Alina Y. Golubeva. "Synthesis of methods and principles of ensuring the reliability of one-off and serial production machines." MATEC Web of Conferences 224 (2018): 02106. http://dx.doi.org/10.1051/matecconf/201822402106.

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The paper considers the development of methods for managing the reliability of single-production machines (lunar rover, rover, rolling mill, president’s car of the country, etc.). Many years of experience in the field of machine reliability allowed the leading specialists of the department of AS and DS to develop a method for managing reliability for serial and mass machines. in the case of evaluating the reliability of single-production machines, development of algorithms based on sample data and data obtained during the transition from the sample to the set of values was carried out. The resource of the parts is defined as the main parameter, which, irrespective of their purpose, form the sampled samples of units of finite volume. Given that the main parameter of the details the resource depends on the strength and loading parameters, the correlation between the strength parameters and the acting stresses (endurance limit, active stress in the dangerous section, strength increase coefficients and the coefficient of increasing the acting voltage) is used in the studies. In such conditions, the estimated resource should relate to each entity of the population or a sample from it. During the research, a parameter is defined as the minimum resource that will determine the homogeneity of the sample (the aggregate), while the main condition for ensuring the same main parameters of parts with sudden failures is the Veler-Sørensen-Kogayev formula based on the experimental initial fatigue and loading statistics . Thus, a method has been developed to ensure the reliability of single-source machines, based on the synthesis of two methods and principles for serial and single-purpose machines.
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Kaur, Supreet, Mohit Joshi, Harshit Agarwal, and Dinesh Bagaria. "Massive parietal defect with multiple enteroatmospheric fistulae after thermal injury abdomen in a metal industry accident: Case report of a rare survivor." Tropical Doctor, May 30, 2021, 004947552110193. http://dx.doi.org/10.1177/00494755211019314.

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In industrial foundries, raw metal is heated almost up to its melting point and then passed through the rolling mill to mould it into a desired shape. Contact with hot machinery or the hot metal can cause severe deep burns. When such thermal injury involves the abdominal wall, complex bowel injury can occur, leading to life-threatening abdominal sepsis. We report successful management of a patient with abdominal wall defect and multiple open fistulae. Severe thermal injury of the anterior abdominal wall may be associated with latent bowel injuries and abdominal compartment syndrome. A low threshold for surgery and re-look surgery may prevent complications.
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47

LIU, Bao-zhong, Yue ZHANG, and Yu ZHANG. "Miti-Simulation of Rolling Mill Machine Rolling Control System." DEStech Transactions on Engineering and Technology Research, no. cm (August 3, 2017). http://dx.doi.org/10.12783/dtetr/tmcm2017/12673.

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48

Wang, Lidong, Peng Hou, Shen Wang, Chengzhen Wang, Xiaoqiang Yan, and Xiaoling Wang. "Study on the effect of rolling mill dynamic stiffness on coupled vibration of hydraulic machine." Journal of Vibroengineering, January 21, 2024. http://dx.doi.org/10.21595/jve.2023.23524.

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The productivity and capacity release of hot-strip rolling is severely limited by pendular vibration. Previous studies on mill vibration have investigated the influence of rolling parameters on vertical vibration; however, the influence of dynamic stiffness compensation factors on vertical vibration has not yet been considered owing to the limitations of modelling methods. Herein, we develop a simulation model of mill liquid–machine coupling with dynamic stiffness compensation using AMESim software. The established simulation model is used to investigate the effect of this dynamic stiffness compensation on mill vertical vibration under conditions of downfeed thickness difference excitation frequency, thickness difference excitation amplitude, thickness difference excitation phase, and dynamic stiffness compensation signal generation hysteresis. Evidently, the impact of the mill stiffness compensation on the mill vertical vibration differs with the thickness of the excitation frequency, and the impact should be discussed according to the excitation frequency segment. The amplitudes of the roll system vibration and incoming thickness difference excitation are essentially linear, whereas the excitation phase does not affect the frequency or amplitude of the mill vibration. The rolling machine stiffness compensation signal hysteresis also has a significant impact on the mill vibration amplitude. Our findings will improve the mechanism of the hot rolling process and suppress droop vibrations.
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49

Kotenok, V. I., S. A. Kuznetsov, S. A. Berestnev, and P. N. Tugushev. "Three-roller threadrolling machine-automator SKhPRS 20-50 for axial rolling of given length thread." Blanking productions in mechanical engineering (press forging, foundry and other productions), 2021, 67–73. http://dx.doi.org/10.36652/1684-1107-2021-19-2-67-73.

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Special three-roll automatic thread rolling mill SKhPRS 20-50 for screw thread rolling on sections of given length on smooth and stepped rods is created on the basis of technical solutions protected by patents of the Russian Federation. The new method for length controlling of the rolled thread of the screw, which consists in the use of movable stop, the position of which is controlled by absolute position sensor and controlled by programmable controller, made it possible to expand the technological capabilities and increase the productivity of the equipment due to its rapid changeover for rolling threads of any permissible length. At the end of 2019, the mill is successfully launched at the Joint-stock company "T ranspnevmatika" (Pervomaysk) for rolling of thread 424... 1600 mm length on screws with length of 859... 1600 mm.
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50

Malik, Arif S., and Jantzen L. Hinton. "Displacement of Multiple, Coupled Timoshenko Beams in Discontinuous Nonlinear Elastic Contact, With Application to Rolling Mills." Journal of Manufacturing Science and Engineering 134, no. 5 (September 10, 2012). http://dx.doi.org/10.1115/1.4007185.

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Introduced is an efficient numerical method to calculate the displacements of structures involving multiple, shear-deformable beams in lengthwise nonlinear elastic contact. Applicability of the method is general, and includes structures such as stacked beams, pipes, or machine components. A particularly relevant application, which is discussed and demonstrated in this paper, is the prediction of deflections and contact conditions between the rolls and strip in rolling mills used to process flat metals. The presented nonlinear displacement calculation method involves iteration using an efficient, simplified mixed finite element formulation. Nonlinearities in the general coupled beam problem can arise either from changing contact conditions between the lengthwise-coupled shear-deformable beams (opening/closing of gaps) or from nonlinear elastic coupling-stiffness between the beams. Unlike the conventional problem of end-connected beams resting on elastic foundations, this work presents an element stiffness matrix formulation and sample nonlinear solution techniques for the problem involving multiple beams that are mutually coupled along their lengths by intervening, nonlinear elastic foundations. Important practical examples of the method are given, based on production cold rolling mill data for type 301 stainless steel on a four-high mill. The examples demonstrate efficiency and value of the nonlinear coupled beam formulation in identifying appropriate machined roll profiles to produce desired strip flatness quality. The cold rolling applications presented are characterized by nonlinear Hertz foundations with stiffness-hardening, and by discontinuous contact conditions arising from nonuniform, machined roll diameter profiles. Solution efficiencies for the new formulation are compared using modified Newton–Raphson, average stiffness, and direct substitution techniques. While the average stiffness method is relatively slower, its characteristics may make it beneficial for transfer function development in flatness control systems. Application of the method to cold rolling mills illustrates the importance of including discontinuous contact nonlinearities, and enables reduced trial and error to determine suitable roll profiles. Presented is a new efficient variational formulation for computing displacements in structures involving multiple beams laterally coupled with nonlinear elastic foundations and changing contact conditions. Practical value of the method is demonstrated for identification of machined roll profiles in cold rolling mills in order to achieve desirable flatness of rolled products.
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