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Journal articles on the topic 'Key process parameters'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Bernacchi, Sébastien, Michaela Weissgram, Walter Wukovits, and Christoph Herwig. "Process efficiency simulation for key process parameters in biological methanogenesis." AIMS Bioengineering 1, no. 1 (2014): 53–71. http://dx.doi.org/10.3934/bioeng.2014.1.53.

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2

Wett, B., S. Murthy, I. Takács, M. Hell, G. Bowden, A. Deur, and M. O'Shaughnessy. "Key Parameters for Control of DEMON Deammonification Process." Water Practice 1, no. 5 (November 12, 2007): 1–11. http://dx.doi.org/10.2175/193317707x257017.

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3

Wett, B., S. Murthy, I. Tak´cs, M. Hell, G. Bowden, A. Deur, and M. O'Shaughnessy. "KEY PARAMETERS FOR CONTROL OF DEMON DEAMMONIFICATION PROCESS." Proceedings of the Water Environment Federation 2007, no. 2 (January 1, 2007): 424–36. http://dx.doi.org/10.2175/193864707787977181.

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4

Maiti, Syamal, Dipayan Das, and Kushal Sen. "Electrochemical Polymerization of Pyrrole: Key Process Control Parameters." Journal of The Electrochemical Society 159, no. 9 (2012): E154—E158. http://dx.doi.org/10.1149/2.050209jes.

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5

Krystynik, Pavel, and Duarte Novaes Tito. "Key process parameters affecting performance of electro-coagulation." Chemical Engineering and Processing: Process Intensification 117 (July 2017): 106–12. http://dx.doi.org/10.1016/j.cep.2017.03.022.

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6

Mohammed, Seydaliyev Ilham. "Key Parameters Survey of the Magnetic System of the Electromagnetic Thickness Converter in the Process of Winding." Journal of Advanced Research in Dynamical and Control Systems 12, no. 01-Special Issue (February 13, 2020): 944–52. http://dx.doi.org/10.5373/jardcs/v12sp1/20201145.

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7

Cotton, D., A. Maillard, and J. Kaufmann. "Improved coining force calculations through incorporation of key process parameters." IOP Conference Series: Materials Science and Engineering 967 (November 19, 2020): 012003. http://dx.doi.org/10.1088/1757-899x/967/1/012003.

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8

Hoffman, R. D., S. E. Woosley, and Y. Z. Qian. "Model independent r-process nucleosynthesis — Constraints on the key parameters." Nuclear Physics A 621, no. 1-2 (August 1997): 397–400. http://dx.doi.org/10.1016/s0375-9474(97)00278-9.

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9

Meng, Wen, and Guo-qun Zhao. "Effects of Key Simulation Parameters on Conical Ring Rolling Process." Procedia Engineering 81 (2014): 286–91. http://dx.doi.org/10.1016/j.proeng.2014.09.165.

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10

Pan, Ri, Bo Zhong, Zhenzhong Wang, Shuting Ji, Dongju Chen, and Jinwei Fan. "Influencing mechanism of the key parameters during bonnet polishing process." International Journal of Advanced Manufacturing Technology 94, no. 1-4 (August 15, 2017): 643–53. http://dx.doi.org/10.1007/s00170-017-0870-4.

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11

Li, Xiao Ping, Zhi Sen Zhang, Hui Jin Xiao, Qiang Zeng, and Xiao An Zhang. "Corn-Rice Powder Extrusion Key Parameters in Twin-Screw Extrusion Process." Advanced Materials Research 815 (October 2013): 329–32. http://dx.doi.org/10.4028/www.scientific.net/amr.815.329.

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To find the inner relations of extrusion key parameters, 2-factor and 3-level orthogonal experiments are carried out on the twin-screw extruder with the corn-rice powder as the materials. The factors are: screw rate and feed rate; the indices are: inner pressure, die outlet temperature and generator current. The results are analyzed by single index regression method, the results show that the screw rate has the significant influence on the variables of barrel inner pressure, die outlet temperature and generator current, while the feed rate only impact significantly on the barrel inner pressure and generator current. After the response analysis of the original variables, the desired experimental conditions are obtained. The parameters should be: screw rate=150rpm, feed rate=14rpm.

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12

Yin, Ying Zi, and Ya Lei Wang. "Study of Key Parameters in the Process of Aeolian Sand Compactibility." Applied Mechanics and Materials 580-583 (July 2014): 278–82. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.278.

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The main factors affecting soil compatibility include moisture content, compaction work, soil type, grading and coarse material content etc.. The effects of compaction work are as follows: the stronger compaction work is, the more larger soil dry density is. The optimum moisture content decreases with the compaction work increasing. This paper mainly studies the effect of compaction work to aeolian sand compatibility. Its lay-down thickness is about 30-50cm when we use vibratory roller to compact aeolian sand in practical engineering. This paper analysis’s and studies the maximum dry density and the optimum moisture content of aeolian sand in the middle region of Inner Mongolia, and achieves its lay-down thicknesses are 30cm,40cm,and 50cm respectively at the optimum moisture content. We use 85kg vibration-impact rammer instead of YZ 18 vibratory roller to simulate the aeolian sand compaction effect at the optimum moisture content. The specification does not specify the number of compatibility times, but it is generally 3 to 5 times in the actual project .We choose the most suitable compatibility times and lay-down thickness through anglicizing the Aeolian sand compactness for vibration-impact rammer rolling on eloign sand 3 times,4 times, and 5 times respectively at 3 different kinds of lay-down thicknesses. Through the study of the Inner Mongolia area Aeolian sand, it provides a useful reference for highway and railway construction in the desert area as well as the encapsulated layer thickness of reinforced retaining wall, a new type support structure.

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13

Wu, Xiaobin, Jun Cheng, Zhilong Xu, Leyang Dai, Qingshan Jiang, Bosheng Su, Li Zhu, and Zhenye Zhao. "Exploration of Key Process Parameters and Properties of 40Cr Steel in Ultrasonic Surface Rolling Process." Coatings 12, no. 9 (September 16, 2022): 1353. http://dx.doi.org/10.3390/coatings12091353.

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Ultrasonic surface rolling (USRP) is an effective process to improve a workpiece’s fatigue property, in which ultrasonic vibration and static force are applied on the workpiece’s surface. In order to clarify the ultrasonic rolling strengthening mechanism of critical components and optimize the USRP parameters, a theoretical model of ultrasonic rolling was established. Based on the stress-strain curve of 40Cr steel, the USRP parameters were formulated. The compressive residual stress field of single point impact was analyzed by finite element simulation, and the simulation results were validated by conducting an experimental research. In addition, the changes in the surface properties of specimens under different USRP parameters were studied experimentally. The results show that with the increase in depth, the compressive residual stress on the external surface increases firstly and then decreases, and the maximum compressive residual stress is −338 MPa. As the amplitude is 12 μm and the frequency is 20 kHz, the static force of 600 N is optimal for the ultrasonic rolling of 40Cr steel. This study could provide a guide for the key parameters’ selection in USRP.

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14

Sun, Jie, Wen Peng, Jingguo Ding, Xu Li, and Dianhua Zhang. "Key Intelligent Technology of Steel Strip Production through Process." Metals 8, no. 8 (July 31, 2018): 597. http://dx.doi.org/10.3390/met8080597.

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Because of the complexity of procedure interface and working conditions, the further improvement of steel strip quality and production efficiency is limited. Realizing the optimization of product quality and production process in multi-process, system-level through intelligent key technology is one of the strategic directions in steel strip production. (1) Collaborative intelligent optimization and dynamic scheduling technology for steel manufacturing supply chain oriented to customized production, reducing the cost of raw material purchase and production operations and improving production efficiency and precision service ability; (2) Online monitoring, diagnosis and optimization technology of product quality. Getting through the process information flow of product, the correlation analysis of process quality parameters, the tracing of quality anomalies, the reverse optimization of process parameters and the optimization of process route will be realized; (3) Multi-process coordination optimization and quality control based on CPS architecture. The precise control technology of process quality parameters will be developed; the structure of multi-process coordination optimization system is established and optimization of key quality parameters in the through process will be realized; and (4) Microstructure and mechanical property optimization and surface quality intelligent control technology in the hot strip rolling process. Intelligent prediction of microstructure and mechanical properties, rapid dynamic design and steel grade merging technology will be formed and green process design technology of oxide scale will be developed.

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15

Zhang, Song, Dalong Yi, Hui Zhang, Lili Zheng, Yuduo Zhang, Zhigang Yang, and Mark Norfolk. "Towards understanding of ultrasonic consolidation process with “process map”." Rapid Prototyping Journal 21, no. 4 (June 15, 2015): 461–68. http://dx.doi.org/10.1108/rpj-05-2014-0067.

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Purpose – The purpose of this paper is to identify the key parameters that control the bonding formation of foils by the ultrasonic consolidation (UC) process and to build the correlations among process operating conditions and key control parameters through the concept of “process map”. Design/methodology/approach – The concept of “process map” is proposed based on the diffusion bonding mechanism for the UC process, and numerical simulations have been applied to the UC process to predict peak temperature and plastic strain at the contact interface by considering a wide range of process operating conditions. Findings – This map reveals that the formation of bonding among foils by the UC process requires a good match between temperature and plastic deformation at the contact interface. This limits the process operating window to a narrow region in the strain – temperature coordinate system. Originality/value – This work has identified the underlying mechanism for bonding formation and the key control parameters of the UC process. The concept of “process map” for the UC process was developed, which allows the process optimization through two critical process control parameters of temperature and plastic strain at the contact interface instead of five operating conditions.

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16

Yao, Ping, Kang Zhou, and Shuwei Huang. "Process and Parameter Optimization of the Double-Pulsed GMAW Process." Metals 9, no. 9 (September 15, 2019): 1009. http://dx.doi.org/10.3390/met9091009.

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The double pulsed gas metal arc welding (DP-GMAW) process has been effectively employed to realize joining of steel plates and obtain weld bead surfaces with high quality fish scale ripples. In this work, a DP-GMAW process based on robot operation using the latest twinpulse XT DP control technology was employed to join the stainless-steel base plates. Four key operational parameters, which were robot welding speed, twin pulse frequency, twin pulse relation and twin pulse current change in percent, were selected to be input elements of orthogonal experimental design, which included nine experiments with three levels. To accurately understand the performance and process of weld bead obtained from DP-GMAW operation based on robot operation, the appearance observation and key shape parameters measurement, microstructure analysis, tensile and hardness testing, as well as stability analysis of the electrical signals, were conducted. Correlation analysis showed that the grain size was significantly correlative to the toughness and hardness. Then, to obtain quantitative evaluation results, fuzzy comprehensive evaluation (FCE) was employed to provide quality evaluation of weld beads from the above experiments. The influential levels of the key operational parameters on the appearance, grain size and FCE scores, and corresponding physical analyses, were respectively presented. In addition, optimal parameters combinations for obtaining weld beads with optimal appearance, grain size, and the highest FCE scores of weld bead quality were respectively provided according to the range analysis of the results from orthogonal experimental design. This work can provide an effective analysis method of influential levels of key operational parameters on the performance of the weld bead, optimal operational parameters combination seeking method, and quantitative quality evaluation method for the DP-GMAW process, which can improve the process optimization and increase the production efficiency, both in academic research and actual industrial production.

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17

Wang, Shi Gang, Dan Wang, and Fu Sheng Gao. "Analysis of Tee Pipe Hydroforming Process Parameters." Applied Mechanics and Materials 651-653 (September 2014): 643–46. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.643.

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By using the finite element software Dynaform, the process of tee pipe hydroforming is obtained with the analysis of forming force, the extrusion speed, die radius, friction conditions and the initial length of tube rounds, which are key process parameters on the influence of tee pipe. Obtained by analyzing the tee pipe hydroforming law, to the actual production of tee pipe hydroforming process design provides the reference data and related guidance.

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18

Zhang, Xin Jie, and Jian Qiang Zhou. "The Key Factor Research in Automobile Covering Mechanical Manufacturing Process." Advanced Materials Research 548 (July 2012): 566–70. http://dx.doi.org/10.4028/www.scientific.net/amr.548.566.

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The influence rules of the different parameters on automotive covering stamping forming and springback, such as blank-hold force、friction condition、draw-bead is studied using the FEM simulation software DYNAFORM combined with the elastic and plastic FEM. In practical production process, through reasonable setting of process parameters, the springback is effectively controlled, the quality of the products is improved.

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19

BARBOT, E., S. MOUSTIER, J. BOTTERO, and P. MOULIN. "Coagulation and ultrafiltration: Understanding of the key parameters of the hybrid process." Journal of Membrane Science 325, no. 2 (December 1, 2008): 520–27. http://dx.doi.org/10.1016/j.memsci.2008.07.054.

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20

Allam, Zakaria, Eric Becker, Cyrille Baudouin, Régis Bigot, and Pierre Krumpipe. "Forging Process Control: Influence of Key Parameters Variation on Product Specifications Deviations." Procedia Engineering 81 (2014): 2524–29. http://dx.doi.org/10.1016/j.proeng.2014.10.361.

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21

Mangalore Babu, Shiva Shankar, Stuart Berry, Michael Ward, and Michal Krzyzanowski. "Numerical investigation of key stamping process parameters influencing tool life and wear." Procedia Manufacturing 15 (2018): 427–35. http://dx.doi.org/10.1016/j.promfg.2018.07.239.

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22

Ahmad, NurFarrahain Nadia, Yew Hoong Wong, and Nik Nazri Nik Ghazali. "A systematic review of fused deposition modeling process parameters." Soft Science 2, no. 3 (2022): 11. http://dx.doi.org/10.20517/ss.2022.08.

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Fused deposition modeling (FDM) is an additive manufacturing technique with significant advantages, including cost effectiveness, applicability for a wide range of materials, user-friendliness and small equipment features. However, its poor resolution represents a hindrance for functional parts for commercial production. In this review, the key process parameters are presented with their factors and effects on the characteristics of FDM-printed polymeric products. Hence, better insights into the relationship between key parameters and three main printing characteristics, namely, surface roughness, mechanical strength and dimensional accuracy, in existing FDM research are provided. A conclusion that addresses the challenges and future research directions in this area is also presented.

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23

Gao, Xiao Bing, Yan Xue, and Fu Jia Wu. "Research on CNC Process Parameters Optimization Based on Process Planning Knowledge." Advanced Materials Research 411 (November 2011): 398–402. http://dx.doi.org/10.4028/www.scientific.net/amr.411.398.

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CNC milling process parameters is the key issue to improve quality and productivity of product and save cost. Especially, in the end milling of the pockets, the radial depth and real feed vary as the end mill moves along the corner. This will result in the unstable of the cutting force and the bad accuracy of the milled pockets. In this paper, according to analysis of CNC machining process, the model of dynamic cutting force based on knowledge in the end milling of the pockets is established, which is predicted by the model of cutting force coefficient. The optimization milling parameters can be calculated in terms of the model of dynamic cutting force in the pockets, work piece material properties. In the end, the experiment proves the process of optimization.

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24

Hunt, R. D., J. L. Collins, T. J. Reif, B. S. Cowell, and J. A. Johnson. "Key process parameters to modify the porosity of cerium dioxide microspheres formed in the internal gelation process." Journal of Nuclear Materials 495 (November 2017): 33–37. http://dx.doi.org/10.1016/j.jnucmat.2017.08.007.

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25

Zhou, Hong, Kun-Ming Yu, and Huan-Po Hsu. "Hybrid Modeling Method for Soft Sensing of Key Process Parameters in Chemical Industry." Sensors and Materials 33, no. 8 (August 17, 2021): 2789. http://dx.doi.org/10.18494/sam.2021.3436.

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26

Mytara, Angeliki D., Konstantina Chronaki, Vasilis Nikitakos, Constantine D. Papaspyrides, Konstantinos Beltsios, and Stamatina Vouyiouka. "Synthesis of Polyamide-Based Microcapsules via Interfacial Polymerization: Effect of Key Process Parameters." Materials 14, no. 19 (October 8, 2021): 5895. http://dx.doi.org/10.3390/ma14195895.

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Polyamide microcapsules have gathered significant research interest during the past years due to their good barrier properties; however, the potential of their application is limited due to the fragility of the polymeric membrane. Fully aliphatic polyamide microcapsules (PA MCs) were herein prepared from ethylene diamine and sebacoyl chloride via interfacial polymerization, and the effect of key encapsulation parameters, i.e., monomers ratio, core solvent, stirring rate and time during the polymerization step, were examined concerning attainable process yield and microcapsule properties (shell molecular weight and thermal properties, MC size and morphology). The process yield was found to be mainly influenced by the nature of the organic solvent, which was correlated to the diffusion potential of the diamine from the aqueous phase to the organic core through the polyamide membrane. Thus, spherical microcapsules with a size between 14 and 90 μm and a yield of 33% were prepared by using toluene as core solvent. Milder stirring during the polymerization step led to an improved microcapsule morphology; yet, the substantial improvement of mechanical properties remains a challenge.

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27

Basirat, Rouhollah, Kamran Goshtasbi, and Morteza Ahmadi. "Geomechanical key parameters of the process of hydraulic fracturing propagation in fractured medium." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 74 (2019): 58. http://dx.doi.org/10.2516/ogst/2019026.

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Hydraulic Fracturing (HF) is a well-stimulation technique that creates fractures in rock formations through the injection of hydraulically pressurized fluid. Because of the interaction between HF and Natural Fractures (NFs), this process in fractured reservoirs is different from conventional reservoirs. This paper focuses mainly on three effects including anisotropy in the reservoir, strength parameters of discontinuities, and fracture density on HF propagation process using a numerical simulation of Discrete Element Method (DEM). To achieve this aim, a comprehensive study was performed with considering different situations of in situ stress, the presence of a joint set, and different fracture network density in numerical models. The analysis results showed that these factors play a crucial role in HF propagation process. It also was indicated that HF propagation path is not always along the maximum principal stress direction. The results of the numerical models displayed that the affected area under HF treatment is decreased with increasing the strength parameters of natural fracture and decreasing fracture intensity.

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28

Zeng, Yong, Jun Zhou, Zhiying Yan, Xueying Zhang, Weiguo Tu, Na Li, Min Tang, et al. "The study of simultaneous desulfurization and denitrification process based on the key parameters." Process Biochemistry 70 (July 2018): 144–52. http://dx.doi.org/10.1016/j.procbio.2018.04.007.

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29

Ma, Guohang, Yu Yu, Xiong Huang, Yuan Peng, Nan Ma, Zuhua Shan, Fenglei Niu, and Shengfei Wang. "Screening key parameters related to passive system performance based on Analytic Hierarchy Process." Annals of Nuclear Energy 85 (November 2015): 1141–51. http://dx.doi.org/10.1016/j.anucene.2015.07.032.

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30

Khraisheh, M. A. M. "Effect of key process parameters in the decolorisation of reactive dyes by ozone." Coloration Technology 119, no. 1 (January 2003): 24–30. http://dx.doi.org/10.1111/j.1478-4408.2003.tb00147.x.

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31

WU, Yongbin, Xiuluan LI, Xinge SUN, Desheng MA, and Hongzhuang WANG. "Key parameters forecast model of injector wellbores during the dual-well sagd process." Petroleum Exploration and Development 39, no. 4 (August 2012): 514–21. http://dx.doi.org/10.1016/s1876-3804(12)60070-6.

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32

Cochet, J., S. Thuillier, N. Decultot, and P. Y. Manach. "Investigation of the key process parameters in the hot forming of a shackle." International Journal of Advanced Manufacturing Technology 105, no. 7-8 (November 11, 2019): 3209–19. http://dx.doi.org/10.1007/s00170-019-04451-1.

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33

Allam, Zakaria, Eric Becker, Cyrille Baudouin, Régis Bigot, and Pierre Krumpipe. "A Generic Methodology to Improve the Control of Forging Process Parameters." Key Engineering Materials 554-557 (June 2013): 2138–44. http://dx.doi.org/10.4028/www.scientific.net/kem.554-557.2138.

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One of the common problems in forging processes is the lack of key process parameters control, as well as their identification. Certain controlled parameters exist, such as temperature or stroke length, which are usually identified and controlled through a systematic approach. Their selection depends particularly on the part to produce or on customer’s constraints, rather than a rational approach. In this paper, a methodology is proposed to select the key process parameters. There are some methodologies which already exist, such as the DMAIC, which are used to determine the control parameters and their influences on the desired specifications. However, this approach has certain drawbacks. For example, the key parameters are selected by experts, which makes each case study time consuming. The aim is to develop a generic methodology to improve the manufacturing process in the forging industry. The methodology is represented as a decision support system that connects product specifications (geometry, absence of defects…) or other forging specifications (tool wear, involved energy...) to the process parameters. The latter will be able to define the key parameters, their values and their appropriate way of control. These links will be setup using the empirical rules and physical laws.

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Sun, Y., T. Liu, Z. Zhang, T. Zhang, and T. Luo. "Optimum control of process parameters in electrical upsetting." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 9 (September 1, 2003): 1259–63. http://dx.doi.org/10.1243/095440503322420188.

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In the normal electrical upsetting process, the process parameters were determined by experience. During working, these parameters were constant and could not be controlled on line. In this paper a new computer-controlled electrical upsetting system is introduced. Based on analysis of main process parameters such as upsetting velocities, heating current and upsetting pressures, the optimum control system of process parameters is determined. The control strategy includes two key parts: sensing the temperature from the system pressure and controlling temperature by adjusting the current i or velocity V 1 and keeping V 2 = [ d2/( 2h2 + d2)] V1 to realize spherical upsetting.

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35

Costanza, Girolamo, Maria Elisa Tata, and Diego Cioccari. "Explosion Welding: Process Evolution and Parameters Optimization." Materials Science Forum 941 (December 2018): 1558–64. http://dx.doi.org/10.4028/www.scientific.net/msf.941.1558.

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The development of explosion welding (EXW) technology underwent a stop as soon as it was introduced, however, in the recent years an increasing interest was found due to the wide range of materials which can be welded, similar and especially dissimilar ones. In addition to the high quality, such welded joints show a good compromise among the involved materials properties. Literature does not provide a comprehensive understanding of the whole mechanism and occurring phenomena but is mostly limited to analyse just some process parameters, like the investigations on joint properties that can be achieved if process takes place under vacuum or open air. In this work some key points are discussed to describe the evolution step of the process and the innovations introduced like the MIL (metallic-intermetallic laminate) composites for aerospace industry. Process parameters are analyzed to highlight the positive and negative aspects, the experiments in the laboratory will be described to confine the explosion to the joint and in particular to minimize the explosion energy and to improve the efficiency of the technique. At last some significant applications where this technique is widely used are showed.

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36

Guo, Kai, Xian Li Liu, Z. P. Jiang, W. D. Li, and J. C. Huang. "The Key Process Technology Research of Open Impeller Processing." Materials Science Forum 723 (June 2012): 450–55. http://dx.doi.org/10.4028/www.scientific.net/msf.723.450.

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The whole impeller machining technology has long been an important object of study, and has been widely used in aerospace applications. In this paper, CNC machining technology for the whole open impeller is the object of study. First, the geometric characteristics of such parts and processing difficulties are analyzed, and then the key technologies for the rough and the finishing are made. The key technologies described in the paper comprise the building of the leaf ruled envelope surface and the choice of tool axis vector in plunge mill rough process, and the whole leaf processing cutting tool path planning using the parameters method in the finishing process. Finally, completed the machining simulation verification base on VERICUT software, and finished the whole process of the open impeller machining.

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37

Long, An, Rui Ge, Hui Wang, and Yin Chen. "Effect of Process Parameters on Dimensional Accuracy of the Part in Hot Press Forming Process." Applied Mechanics and Materials 189 (July 2012): 250–54. http://dx.doi.org/10.4028/www.scientific.net/amm.189.250.

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To research the problem of part’s dimensional accuracy error easily occurred in hot press forming, a B-Pillar on one domestic car was set as example, the dimensional of the actual part and its model diagram were compared by means of ATOS optical scanner. By recording the the process parameters used in practical production, the effect trend of three key process parameters on part’s dimensional accuracy was summarized, process parameters suitable for practical production were gained.

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38

Yu, Tian Biao, Xue Wei Zhang, Jia Ying Pei, and Wan Shan Wang. "Physical Simulation of Cutting Process and Optimization of Cutting Parameters." Key Engineering Materials 522 (August 2012): 210–16. http://dx.doi.org/10.4028/www.scientific.net/kem.522.210.

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Based on metal cutting theory and the key technology of finite element simulation, this paper uses finite element software Deform to establish three-dimensional finite element simulation model and simulate cutting process. This paper uses the work piece material is IN718 high temperature alloys packaged in Deform, and analyzes the processing characteristics of high temperature, choosing the right tools and cutting dosages to simulate. Through the simulation we can get scraps forming process, the surface stress, strain, temperature and cutting force distribution of the workpiece and the tool. We can also get the change rule of cutting force and cutting temperature under the different cutting parameters. The simulation results provide the theoretical basis for the optimization of cutting parameter selection in production practice.

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39

Yur'ev, Boris, and Vyacheslav Dudko. "Determination of Key Parameters Required to Optimize Calcination Process in Ferrous Metallurgy Heating Plants." Solid State Phenomena 316 (April 2021): 282–87. http://dx.doi.org/10.4028/www.scientific.net/ssp.316.282.

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Lime is the product of calcination. Its formation is always related to removal of carbon dioxide generated in the course of carbonate decomposition. Ferrous metallurgy, construction material, chemical and food industry companies account for about 90 % of lime produced in the country. Ferrous metallurgy is the major consumer of commercial lime using up to 40 % of all produced lime. Currently, despite occurrence of new binding and artificially produced chemical compounds, lime remains the major chemical compound produced by the industry in terms of output. Various units (shaft, rotary tubular kilns and fluidized bed kilns) are used for calcination. Shaft kilns are used the most widely. Considering continuously growing demand for lime, the need occurs for intensification of the burning process and optimization of the shaft kiln operating conditions. This requires knowledge of calcination physicochemical and heat transfer process mechanisms. Thus, the work deals with the issues related to determination of the optimal specific fuel consumption for burning of limestone from a particular deposit. It may be done only basing on thermal calculations for an operating shaft kiln, what, in its turn, causes the need for determination of the whole set of limestone and lime heat transfer properties. The obtained work results may be used to optimize the operating conditions of not only shaft but also rotary kilns intended for limestone heat treatment.

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40

Louveaux, Q., A. Mathei, and S. Mathieu. "Box search for the data mining of the key parameters of an industrial process." Intelligent Data Analysis 20, no. 6 (November 8, 2016): 1385–403. http://dx.doi.org/10.3233/ida-150335.

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Karkoszka, Tatiana. "Identification of the Key Operational Parameters as an Element of Technological Process' Operational Control." System Safety: Human - Technical Facility - Environment 1, no. 1 (March 1, 2019): 506–13. http://dx.doi.org/10.2478/czoto-2019-0065.

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AbstractAssurance of the supervised conditions in all processes affects directly both products and users safety and environmental influence. ISO 9001 and ISO 14001 standards in Operation point require from organisations to implement and control the planned processes by establishing processes’ criteria, assuring the supervised conditions and verifying processes’ conformity. Moreover, in Planning section it is required to plan the processes with the consideration of quality and environmental risk. Therefore research on the practical solutions of operational planning and control in the production processes are of the crucial meaning, especially from the perspective of the integrated fulfilment of the requirements. That is why the value of the paper is being constituted by the authorial methodology of identification of the key-operational criteria, including integrated risk assessment, using the computer support and being a starting point for assurance of the supervised conditions in the key-processes of high risk. The worked out methodology has been implemented in the processes of performance and completing the stirrups, which quality is of the huge influence on the work safety of the mine roadway supports in the mine workings. The aim of the analysis was to identify the operational parameters in the stirrups technological process, to estimate their meaning and to point at the key operational criteria from the point of fulfilling the quality and environmental requirements. Practical implication of the proposed methodology can be applied in case of any organisation which wants to improve the realised processes ensuring the computer supported supervised conditions.

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Zalasiewicz, Jan, Will Steffen, Reinhold Leinfelder, Mark Williams, and Colin Waters. "Petrifying Earth Process: The Stratigraphic Imprint of Key Earth System Parameters in the Anthropocene." Theory, Culture & Society 34, no. 2-3 (February 13, 2017): 83–104. http://dx.doi.org/10.1177/0263276417690587.

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The Anthropocene concept arose within the Earth System science (ESS) community, albeit explicitly as a geological (stratigraphical) time term. Its current analysis by the stratigraphical community, as a potential formal addition to the Geological Time Scale, necessitates comparison of the methodologies and patterns of enquiry of these two communities. One means of comparison is to consider some of the most widely used results of the ESS, the ‘planetary boundaries’ concept of Rockström and colleagues, and the ‘Great Acceleration’ graphs of Steffen and colleagues, in terms of their stratigraphical expression. This expression varies from virtually non-existent (stratospheric ozone depletion) to pronounced and many-faceted (primary energy use), while in some cases stratigraphical proxies may help constrain anthropogenic process (atmospheric aerosol loading). The Anthropocene concepts of the ESS and stratigraphy emerge as complementary, and effective stratigraphic definition should facilitate wider transdisciplinary communication.

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Korosec, Marjan, Joze Duhovnik, and Nikola Vukasinovic. "Identification and optimization of key process parameters in noncontact laser scanning for reverse engineering." Computer-Aided Design 42, no. 8 (August 2010): 744–48. http://dx.doi.org/10.1016/j.cad.2010.02.003.

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Xu, Huanfei, Jianjun Peng, Yi Kong, Yaoze Liu, Zhenning Su, Bin Li, Xiaoming Song, Shiwei Liu, and Wende Tian. "Key process parameters for deep eutectic solvents pretreatment of lignocellulosic biomass materials: A review." Bioresource Technology 310 (August 2020): 123416. http://dx.doi.org/10.1016/j.biortech.2020.123416.

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Jaouad, Y., M. Villain-Gambier, L. Mandi, B. Marrot, and N. Ouazzani. "Key process parameters involved in the treatment of olive mill wastewater by membrane bioreactor." Environmental Technology 40, no. 24 (April 18, 2018): 3162–75. http://dx.doi.org/10.1080/09593330.2018.1464064.

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He, Jianqiang, Pierre Stratonovitch, Vincent Allard, Mikhail A. Semenov, and Pierre Martre. "Global Sensitivity Analysis of the Process-Based Wheat Simulation Model SiriusQuality1 Identifies Key Genotypic Parameters and Unravels Parameters Interactions." Procedia - Social and Behavioral Sciences 2, no. 6 (2010): 7676–77. http://dx.doi.org/10.1016/j.sbspro.2010.05.174.

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Zhao, Pan, Yaoyao Shi, Chao Kang, Tao Yu, Bo Deng, Hongji Zhang, and Zhen Chen. "Optimization of Process Parameters for Robotic Fibre Placement." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 4 (August 2018): 693–700. http://dx.doi.org/10.1051/jnwpu/20183640693.

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Compared with labour-intensive and time-consuming processing of conventional fabrication methods, the robotic fiber placement process greatly improves the flexibility of the fiber placement process and allows for the construction of more complex structures. Based on the study of the placement process, the intimate contact process and healing process were analysed theoretically. The key process parameters for affecting the quality of the composite component were put forward:hot gas torch temperature, compaction force and laying velocity. In order to analyse the fabrication process for laying the cylindrical parts with 0-degree tow direction, the model of the process parameters coupling affected the interlaminar bond strength was established, according to the design of the response surface method. The reliability and validity of the model were verified by the analysis of variance. The optimal process parameters of fiber placement were obtained. The results show that the model is effective and the optimum peeling force of the laying products is 24.1 N under the optimum process parameters.

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Gvero, Petar, Sasa Papuga, Indir Mujanic, and Srdjan Vaskovic. "Pyrolysis as a key process in biomass combustion and thermochemical conversion." Thermal Science 20, no. 4 (2016): 1209–22. http://dx.doi.org/10.2298/tsci151129154g.

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Biomass is a fuel with a highly volatile content and due to that, pyrolysis as a part of the combustion process, has a dominant role in the overall process development, as well as on final products and the process efficiency. It is of key importance to investigate the influence of the process parameters; as temperature, furnace/reactor environment, fuel properties, type, particle size, geometry, and the structure of the pyrolysis process has an influence regards the design of the combustion/pyrolysis equipment and the final products of the processes. This paper gives some results of the investigation?s related to this problem, mainly focussing on wooden biomass as the most important biomass type, as well as a comparison with relevant documented literature. Besides that, pyrolysis based technologies are one of the key directions in synthetic fuels production based on biomass. Biomass pyrolysis process parameters are crucial in reactor design as well as the quantity and quality of the final products. This paper provides discussion dedicated to this aspect with a focus on slow pyrolysis, targeting charcoal as the key product, and fast pyrolysis, targeting synthetic gas as the key product.

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Wang, Ya Jun, Chang Yu Wu, Xiao Qing Gan, and Zhi Hong Dong. "Fully Graded Concrete Creep Models and Parameters." Applied Mechanics and Materials 275-277 (January 2013): 2069–72. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.2069.

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In this paper, the key parameters and functions for quantification of temperature creep stress were offered. These key parameters established the creep-heat-change fluctuation on fully graded concrete. The information is helpful for simulation of super arch dam concrete pouring process.

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Zhou, Zhao Zhong, Ju Long Yuan, Bing Hai Lv, and Jia Jin Zheng. "Study on Pad Conditioning Parameters in Silicon Wafer CMP Process." Key Engineering Materials 359-360 (November 2007): 309–13. http://dx.doi.org/10.4028/www.scientific.net/kem.359-360.309.

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Polishing pad plays a key role in determining polish rate and planarity of a chemical mechanical planarization (CMP). The properties of the pad would deteriorate during polishing because of pad surface grazing, which results in reduced removal rates and poorer planarity of wafer surface. Pad conditioning and its influence on pad surface structure and CMP process is introduced and discussed in this paper. The study shows that the surface structure can be regenerated by breaking up the glazed areas with conditioner, MRR(Material Removal Rate) can be maintained at high level with proper pad conditioning, and UN(Non-uniformity)can also improved. Orthogonal experiments design is employed in this study to determine the best conditioning parameters.

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