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Journal articles on the topic 'Tyre manufacturing process'

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1

Shanbag, Amit, and Sampatrao Manjare. "Life Cycle Assessment of Tyre Manufacturing Process." Journal of Sustainable Development of Energy, Water and Environment Systems 8, no. 1 (March 2020): 22–34. http://dx.doi.org/10.13044/j.sdewes.d7.0260.

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2

Sri Ngadono, Teguh, Muh Rokhim, and Zulfa Fitri Ikatrinasari. "Lean Manufacturing Implementation on Extrude Process with Value Stream Maping: Study Case in Tyre Manufacture." IOP Conference Series: Materials Science and Engineering 852 (July 21, 2020): 012104. http://dx.doi.org/10.1088/1757-899x/852/1/012104.

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3

Papaioannou, Georgios, Jenny Jerrelind, and Lars Drugge. "Multi-Objective Optimisation of Tyre and Suspension Parameters during Cornering for Different Road Roughness Profiles." Applied Sciences 11, no. 13 (June 25, 2021): 5934. http://dx.doi.org/10.3390/app11135934.

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Effective emission control technologies and novel propulsion systems have been developed for road vehicles, decreasing exhaust particle emissions. However, work has to be done on non-exhaust traffic related sources such as tyre–road interaction and tyre wear. Given that both are inevitable in road vehicles, efforts for assessing and minimising tyre wear should be considered. The amount of tyre wear is because of internal (tyre structure, manufacturing, etc.) and external (suspension configuration, speed, road surface, etc.) factors. In this work, the emphasis is on the optimisation of such parameters for minimising tyre wear, but also enhancing occupant’s comfort and improving vehicle handling. In addition to the search for the optimum parameters, the optimisation is also used as a tool to identify and highlight potential trade-offs between the objectives and the various design parameters. Hence, initially, the tyre design (based on some chosen tyre parameters) is optimised with regards to the above-mentioned objectives, for a vehicle while cornering over both Class A and B road roughness profiles. Afterwards, an optimal solution is sought between the Pareto alternatives provided by the two road cases, in order for the tyre wear levels to be less affected under different road profiles. Therefore, it is required that the tyre parameters are as close possible and that they provide similar tyre wear in both road cases. Then, the identified tyre design is adopted and the optimum suspension design is sought for the two road cases for both passive and semi-active suspension types. From the results, significant conclusions regarding how tyre wear behaves with regards to passenger comfort and vehicle handling are extracted, while the results illustrate where the optimum suspension and tyre parameters have converged trying to compromise among the above objectives under different road types and how suspension types, passive and semi-active, could compromise among all of them more optimally.
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4

Kumar, Jatinder, and Rupinder Singh. "Investigating the Effect of Vulcanization in Tread Rubber Applications." Materials Science Forum 751 (March 2013): 1–7. http://dx.doi.org/10.4028/www.scientific.net/msf.751.1.

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Retreading has many potential applications in tyre manufacturing industry. There is a critical need for optimization of vulcanization processes used in tread manufacturing. Not much work hitherto has been reported for optimization of efficient sulphur vulcanization process of the tread manufacturing. The present experimentation work highlights approach to macro-model strength, elongation and hardness during vulcanization of rubber. Relationship between strength, elongation, hardness and other parameter has been deduced by using Taguchi L9 orthogonal array (OA). Results indicate that the hardness, elongation and strength of tread rubber while vulcanization depends significantly on the natural: synthetic rubber ratio (NR: SR), curing time and curing temperature of the rubber.
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5

Müller, Miroslav, Anna Rudawska, Martin Tichý, Viktor Kolář, and Monika Hromasová. "Research on wear resistance of polymeric composite materials based on microparticles from tyre recyclation process." Manufacturing Technology 20, no. 2 (August 18, 2020): 223–28. http://dx.doi.org/10.21062/mft.2020.031.

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6

Dost, A. "Exposure to rubber fume and rubber process dust in the general rubber goods, tyre manufacturing and retread industries." Annals of Occupational Hygiene 44, no. 5 (August 1, 2000): 329–42. http://dx.doi.org/10.1016/s0003-4878(99)00110-6.

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7

Hatvalne, Sarang, and Arakerimath Rachayya. "Performance study of different EDM Electrode Materials for machining of honeycomb cavities of plastic injection molds." International Journal of Current Engineering and Technology 12, no. 02 (April 25, 2022): 144–46. http://dx.doi.org/10.14741/ijcet/v.12.2.7.

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Electro Discharge Machining (EDM) is an extremely prominent machining process among newly developed non - traditional machining techniques for “difficult to machine” conducting materials such as heat treated tool steels, composites etc. In EDM, the material removal of the electrode is achieved through high frequency sparks between the tool and the work-piece immersed into the dielectric. The Material Removal Rate (MRR), Tool Wear Rate (TWR) and surface integrity are some of the important performance attributes of the EDM process. This is widely used in machining intricate cavities in Aluminum HPDC Dies, Tyre mold manufacturing and Plastic Injection mold manufacturing. In Plastic injection mold manufacturing, especially for machining narrow cavities of honeycomb structures, the tool wears faster and machining becomes costly. This study compares performance of three materials viz. Copper, Graphite and Copper impregnated Graphite used as EDM electrodes and evaluates their performances based in lower Tool Wear Rates (TWR)
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8

Hardono, Joko, Hendra Pratama, and Andi Friyatna. "Analisis Cacat Produk Green Tyre dengan Pendekatan Seven Tools." Jurnal INTECH Teknik Industri Universitas Serang Raya 5, no. 1 (July 3, 2019): 1. http://dx.doi.org/10.30656/intech.v5i1.1462.

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Quality is one aspect that needs to be maintained in increasing consumer confidence and minimizing production costs. A motorcycle tire manufacturing company has a production defect of 5028 during February 2018. This study aims to reduce the number of defective products in the green tire cooking process in the curing area. The methods used in this study are seven tools, especially Pareto diagrams, and fishbone diagrams and analyzed the cause is 5W1H. Of the six types of green tire defects, under cure is the most dominant factor (40%) that causes disability. The improvement in Pneumatic Problems which the problem of under cure is human factors, machinery, and the method of being able to reduce defects by 48% from 891 pieces in February to 463 pieces in May. The decrease in defects in pneumatic problems affects the reduction in the number of defects in green tire products from 5206 pieces in February to 4699 pieces in May.
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9

Ward, M. J., B. C. Miller, and K. Davey. "Simulation of a multi-stage railway wheel and tyre forming process." Journal of Materials Processing Technology 80-81 (August 1998): 206–12. http://dx.doi.org/10.1016/s0924-0136(98)00140-x.

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10

Karle, Mr Ranjeet R. "Rubber Powder As a Partial Replacement To Fine Aggregate in Geopolymer Ferrocement." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 4801–7. http://dx.doi.org/10.22214/ijraset.2022.44737.

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Abstract: Tyre manufacturing over the world has increased as the automobile industry has rapidly grown. The waste tyre disposal is very time-consuming and environmentally damaging process. Even though it is frequently disposed of in landfills, issues with supply and demand mean that the shortage and lack of available landfill space is very big concern. The fundamentals ferrocrete is used in the construction of structures. Mix of sand and cement the manufacture of aggregates from stone Quarries are also a major source of environmental degradation. Thus, the goal of the project; the purpose of this research is to investigate the effects of varying the quantities of crumb rubber replacing sand content in ferrocrete mixes. In order to enhance different percentages of glass fibre have a compressive strength included into the mix of cement. In this study, the primary objective is to discover replacing the old rubber with a new type of rubber Cement ferrocrete aggregates are mixed with glass fibres. Finally, the product will have excellent engineering qualities
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11

Prashanth Pai, M., C. G. Ramachandra, T. R. Srinivas, and M. J. Raghavendra. "Reliability Assessment and Study of Quality Control Tools on Intermixer and Dump Mill of a Tyre Manufacturing Industry." MATEC Web of Conferences 144 (2018): 05001. http://dx.doi.org/10.1051/matecconf/201814405001.

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Quality plays a very important role in today's highly competitive industrial environment. Quality leads to an improvement in the productivity. Quality control tools are used to solve more than 90% of the problems faced by the organizations in improving its effectiveness and meeting the customer expectation on a continuous basis. The success of the quality control procedure depends greatly on the method of data collection and its accuracy. Quality control tools are used worldwide in manufacturing industries for continual improvement and are implemented in different steps of manufacturing process to define the problem, measure its impact, finding out its root cause and its removal to ensure the production of non-defective items. The present work includes collection of failure data of intermix and dump mill of a tyre manufacturing unit located in Karnataka. The failure data collected for one year has been analysed to find out the major causes of breakdown. Quality control tools such as Pareto chart, Bar chart, Histogram, Fish bone diagram have been used to find out the root causes and identifying the action plans to eradicate them. Reliability assessment (theoretical) of intermix and dump mill has been conducted using the failure data. The reliability and maintainability curves speak about the present state of working of maintenance department in regard to addressing of breakdown problems and also help in setting future working standards.
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12

Ravi, Monisha, Balasubramanian Murugesan, and Kennedy C. Onyelowe. "Performance evaluation of marine and industrial wastes in cement to envelope low carbon environment in manufacturing process." International Journal of Low-Carbon Technologies 18 (2023): 986–98. http://dx.doi.org/10.1093/ijlct/ctad082.

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ABSTRACT The bonding strength of waste recycled cement mortar in a low carbon brick masonry prism is influenced by this study. The disposal of marine and industrial trash has emerged as a serious environmental and ecological concern across the world against the climate action of the United Nations Sustainable Development Goals (UNSDGs) and COP27. The use of alternative waste materials in the cement industry minimizes the carbon footprint in the manufacture, construction and overall building lifespan and enhances low carbon technology. The bonding 1ehaveior of the 3R hybrid cement (oyster shell, ground granulated blast furnace slag and tyre waste powder) is evaluated in a brick masonry prism. The impact of hybrid mortar bond strength on triplet masonry prism specimens and cement mortar cubes is investigated in this study using first-class bricks and OPC 53 cement with 3R waste materials. In addition, the chemical characteristics, workability, compressive strength, shear, bond, thermal, durable and microstructure studies of traditional and hybrid cement composites were determined. These three waste material compositions in the cement matrix have an influence on the development of alternative waste recycling and reuse materials in industry. Using hybrid cement saves CO2 emissions, low carbon emissions and energy consumption and has economic and environmental implications. The testing findings show that the brick-and-mortar bond has an excellent lead with the maximum compressive strength of the brick masonry prism.
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13

Luhar, Ismail, and Salmabanu Luhar. "Rubberized Geopolymer Composites: Value-Added Applications." Journal of Composites Science 5, no. 12 (November 27, 2021): 312. http://dx.doi.org/10.3390/jcs5120312.

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The discovery of an innovative class of inorganic polymers has brought forth a revolution in the history of construction technology. Now, no energy-intensive reactions at elevated temperatures are essential, as found in the case of contemporary cement production. In addition to their attributes of low energy and a mitigated carbon footprint, geopolymeric composites can incorporate diversely originated and profound wastes in their manufacturing. As of today, profoundly accessible landfills of rubber tyre waste negatively impact the environment, water, and soil, with many health hazards. Their nonbiodegradable complex chemical structure supports recycling, and toxic gases are emitted by burning them, leading to aesthetic issues. These, altogether, create great concern for well-thought-out disposal methods. One of the achievable solutions is processing this waste into alternative aggregates to thus generate increased economic value whilst reducing primary aggregate consumption through the incorporation of these vast automobile solid wastes in the manufacturing of geopolymer construction composites, e.g., binders, mortar, concrete, etc., produced through the process of geopolymerization as a replacement for natural aggregates, providing relief to the crisis of the degradation of restricted natural aggregate resources. Currently, tyre rubber is one of the most outstanding materials, extensively employed in scores of engineering applications. This manuscript presents a state-of-the-art review of value-added applications in the context of rubberized geopolymer building composites and a review of past investigations. More significantly, this paper reviews rubberized geopolymer composites for their value-added applications.
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14

Bhandary, Tirthankar, Hirak Satpathi, Aratrika Banerjee, Koushik Pal, Abhijit Pal, Barun Kumar Samui, Saikat Dasgupta, and Rabindra Mukhopadhyay. "Development of a Test Method for the Estimation of SBR-BR Blend Ratio in Tyre Tread Formulation and Validating It through Robust Statistical Tools." Organic Polymer Material Research 5, no. 1 (April 4, 2023): 1–11. http://dx.doi.org/10.30564/opmr.v5i1.5368.

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Blends of synthetic rubbers are widely used by rubber product manufacturing industries depending on the end use and product application. The estimation of individual rubber in blends is an important aspect to characterise the correctness of the mixing process. In tyre industry, Styrene butadiene rubber/Polybutadiene rubber (SBR/BR) blend is commonly used to achieve different performance properties, particularly for passenger car tyre. Out of the different quantitative analysis techniques to characterise the blend, one of the widely used techniques Gas Chromatography-Mass Spectrometry (GC-MS) has been used to develop and later validate a method to quantify the SBR/BR blend ratio. Through this GC-MS technique detection capability is measured, with a minimum limit of detection (LOD) of 5.17% and a limit of quantification (LOQ) of 15.67% Styrene butadiene rubber (SBR) in an SBR-BR vulcanizate. It is observed that the bias percentage is highest in case of a lower SBR content sample, i.e. 11.1% while in the case of other sets, it is varying from (–)1.4% to (+)1.5%. During the recovery study, it is observed that with increasing SBR content, recovery is also improving. All requirements for a successful method validation: Accuracy, precision, selectivity, detection capability, calibration range and robustness have been carried out in this entire work.
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15

Solazzi, Luigi, and Alberto Mazzoni. "Experimental Study of the Fatigue Life of Off-Highway Steel Wheels Using the Rim Section Test Approach." Applied Sciences 13, no. 16 (August 10, 2023): 9119. http://dx.doi.org/10.3390/app13169119.

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Wheels are structural components designed to sustain dynamic loads and avoid fatigue failures in service. For their validation, when standard fatigue tests are not feasible due to premature tyre wear, alternative methods should be used. In this paper, the rim section test approach is evaluated for the fatigue life assessment of steel rims for off-highway wheels. Customized specimens were studied by finite element analysis and subjected to bending fatigue tests to obtain the fatigue curve for the critical point of the rim. The results were also compared to fatigue data from standard tests of the base material, confirming the importance of testing components in conditions as similar as possible to the final ones in service. Additional measurements of the specimens’ surface hardness showed how this approach is valid to consider the effects of possible work hardening induced in the components by the production process. The residual stress state, instead, does not seem to be considered appropriately, since the initial compressive residual stresses of the component were released during the manufacturing of the specimens. The overall results of the study confirmed the suitability of the section test approach as an alternative method for the fatigue life evaluation of structural components. Moreover, it could be used for specific investigations concerning the influence of the production process parameters on wheel rims.
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16

Zaeimoedin, Teku Zakwan, and Mazlina Mustapha Kamal. "Processability Behaviour of Dual Filler Systems Reinforced Epoxised Natural Rubber." Advanced Materials Research 974 (June 2014): 195–98. http://dx.doi.org/10.4028/www.scientific.net/amr.974.195.

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Rheological studies of polymers are of great importance in optimizing the processing conditions and in designing processing equipments like injection molding machines, extruders, and dies required for various products. Melt rheological studies give us valuable viscosity data that will be helpful in optimizing the processing conditions. Parameters like melt viscosity as a function of shear rate or shear stress and temperature have become more and more important. Previous study indicated that the flow behaviour of the compound depends on the filler loading. Lesser elastic torque was found with compound containing lower filler content as compared to higher filler content. In this work, effect of dual filler, based on Carbon Black / Silica filled Epoxidised Natural Rubber (ENR) compound was investigated. A total of 80phr of filler content based on passenger tyre tread formulation was used in the experiment. The compounds were prepared by melt mixing in tangential type of an internal mixer. The rheological and the processability properties of the compounds were determined using three different testing instruments namely Capillary Rheometer, Mooney viscometer and Rubber Process Analyzer (RPA). A variation of shear rates (ranging from low to high) was performed, in order to better reflect the actual processing condition in rubber manufacturing. It was found that ENR mix with ratio silica to carbon black 70:10 exhibited the best flow behaviour and processability properties as compared to control and other mixes.
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17

Sathya K K, Gowtham G, Ramvenkadesh S, and Ganesan A. "Computation of Length and Chopping using PLC." international journal of engineering technology and management sciences 7, no. 2 (2023): 222–30. http://dx.doi.org/10.46647/ijetms.2023.v07i02.026.

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The computation of length and chopping are two of the most important processes in the manufacturing industries. In the traditional ways of production, the cutting process is done manually with the help of human labour and the material is measured manually with a ruler to a specified length. In fact, everything has its own set of advantages and disadvantages. The disadvantage here is that when the cutting is done manually, it may lead to improper cutting and improper measurement due to irregular cutting since both processes are dependent on each other. For example, in the process of extrusion, which is one stage in the tyre building process, improper cutting of the materials like thread and other components may lead to improper bonding of the material. As technology advanced, many industrial processes advanced and underwent significant changes in the name of the industrial revolution. Nowadays, various tasks such as computing and material chopping have been automated using various methods. While talking about the industrial revolution, PLCs play a vital role in the automation of various processes. So, in our project, we have discussed the automation of the computation of length and chopping in the extrusion process using a programmable logical controller (PLC). Here in our project, the material is feed into the conveyor, which is controlled by a PLC. After the material of the specified length is detected, the chopping process is done. Here the length is computed with the help of two sensor inputs that are given to the PLC as input. The output of the PLC is given to the pneumatic circuit, which consists of a double-acting cylinder, a 5/2 DCV, some feedback sensors, and the blade that executes the process of chopping.
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18

Cherop, Peter Tumwet, Sammy Lewis Kiambi, and Paul Musonge. "Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach." Green Processing and Synthesis 8, no. 1 (January 28, 2019): 451–63. http://dx.doi.org/10.1515/gps-2019-0013.

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Abstract The aim of this study was to apply the central composite design technique to study the interaction of the amount of formic acid (6-12 mL), amount of hydrogen peroxide (6-10 mL), temperature (54-58°C) and reaction time (40-60 min) during the oxidative desulphurisation (ODS) of tyre-derived oil (TDO). The TDO was oxidised at various parametric interactions before being subjected to solvent extraction using acetonitrile. The acetonitrile to oil ratios used during the extraction were 1:1 and 1:2. The content of sulphur before and after desulphurisation was analysed using ICP-AES. The maximum sulphur removal achieved using a 1:1 acetonitrile to oxidised oil ratio was 86.05%, and this was achieved at formic acid amount, hydrogen peroxide amount, temperature and a reaction time of 9 mL, 8 mL, 54°C and 50 min respectively. Analysis of variance (ANOVA) indicated that the reduced cubic model could best predict the sulphur removal for the ODS process. Coefficient of determination (R2 = 0.9776), adjusted R2 = 0.9254, predicted R2 = 0.8356 all indicated that the model was significant. In addition, the p-value of lack of fit (LOF) was 0.8926, an indication of its insignificance relative to pure error.
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19

Zainathul Akhmar, Salim Abdul Salim, Mohd Zaini Nurul Aizan, Ahmad Mohd Muhiddin, Jamil Siti Sarah, and Zainuddin Nor Hazwani. "The Cure Characteristics and Mechanical Behaviour of Bamboo Fibre Filled Natural Rubber Composite." Advanced Materials Research 812 (September 2013): 53–59. http://dx.doi.org/10.4028/www.scientific.net/amr.812.53.

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For decades, carbon black is the most preferred reinforcing filler in rubber industry especially in tyre manufacturing. Carbon black which originated from crude oil is a non renewable source that may diminish over time. Therefore, an alternative from natural source is needed to replace carbon black as the reinforcing agent in rubber industries without so much affecting the physical and mechanical properties of the final products. Since bamboo is an abundant natural source in Malaysia and proved to be one of the strongest natural fibres comparable to other building materials like steel, concrete, and timber that have been subjected to lot of studies, bamboo seems to be the best alternative to replace carbon black in reinforcing rubber. Bamboo chips were first treated using alkalinisation method and dried before ground to 180-250μm to improve the interfacial adhesion with the rubber matrix. The bamboo fibres were then incorporated into rubber through compounding process at different loading. The cure characteristics of the composites were determined at 150oC using rheometer. The curing times were then used to vulcanise the rubber compounds using a hot press. The mechanical behaviour of the bamboo fibre filled natural rubber composite like tensile strength, elongation at break, and hardness are then evaluated by taking the optimum loading of carbon black as the comparison. The strength of the composite were decreased and become harder as the fibre loading were increased. The weak adhesion of fibres to rubber matrix and uneven particle size distribution of fibres contribute to the fracture of the composites. These can be observed through the surface morphological analysis of the composite by using scanning electron microscopy (SEM).
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20

HANZAWA, Shigeru. "Low Environmental Load Type Ceramics Manufacturing Process." Journal of the Japan Society of Powder and Powder Metallurgy 67, no. 6 (June 15, 2020): 349–53. http://dx.doi.org/10.2497/jjspm.67.349.

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21

Natrella, Giuseppe, Giuseppe Gambacorta, and Michele Faccia. "Volatile organic compounds throughout the manufacturing process of Mozzarella di Gioia del Colle PDO cheese." Czech Journal of Food Sciences 38, No. 4 (August 31, 2020): 215–22. http://dx.doi.org/10.17221/129/2020-cjfs.

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The evolution of volatile organic compounds during the production process of Mozzarella di Gioia del Colle (traditional type) was investigated in comparison with citric mozzarella (industrial type). The total volatile concentration in the traditional curd was ten times higher than milk, versus only twice as much in the industrial type. In both technologies, the concentrations decreased from curd to mozzarella at the same rate, due to losses during the stretching phase. The higher microbial activity in the traditional product was responsible for a much more complex profile, characterised by 2- and 3-methylbutanal, acetoin, ethanol, 3-methyl-1-butanol, acetic acid and ethyl-acetate. In contrast, the industrial mozzarella had a very simple profile, with the most important compounds being directly derived from the milk, the oxidation reactions, or the activity of the adventitious microflora such as acetone, hexanal, nonanal, and hexanoic acid. According to the discriminant analysis, Mozzarella di Gioia del Colle had a very different profile than the milk used, whereas the industrial mozzarella was more similar to the milk.
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22

Godzhaev, S. M., V. P. Svyatoslavskii, and A. M. Kerimov. "New technological process for manufacturing OM-type taper couplings." Chemical and Petroleum Engineering 22, no. 6 (June 1986): 290. http://dx.doi.org/10.1007/bf01282444.

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23

Nakamura, Akira, and Takao Nakaya. "Planar type electroacoustic transducer and process for manufacturing same." Journal of the Acoustical Society of America 77, no. 3 (March 1985): 1290. http://dx.doi.org/10.1121/1.392087.

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24

Meyyappan, M., and T. R. Govindan. "Plasma Process Modeling for Integrated Circuits Manufacturing." VLSI Design 6, no. 1-4 (January 1, 1998): 409–12. http://dx.doi.org/10.1155/1998/27636.

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A reactor model for plasma-based deposition and etching is presented. Two-dimensional results are discussed in terms of plasma density, ion flux, and ion energy. Approaches to develop rapid CAD-type models are discussed.
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Hurtado-Cortés, Luini Leonardo, John Alejandro Forero-Casallas, and Víctor Elberto Ruiz-Rosas. "Artificial vision applied to manufacturing process." Visión electrónica 15, no. 1 (January 30, 2021): 113–22. http://dx.doi.org/10.14483/22484728.17432.

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This article presents the results of the implementation of artificial vision and image processing projects applied to a parts manufacturing process. In a first scenario, three-dimensional computational geometric models of the parts to be manufactured were obtained from the capture and processing of thermo-graphic images. In a later stage of the manufacturing process, a direct measurement system for cutting tool wear was implemented using HD images with image processing software using NI Lab VIEW from National Instruments®. In the final stage of parts manufacturing, the development of software (UDmetaL Handbook) for the quantitative metallographic analysis of micrographs for hypoeutectoid steels is presented. The software determines the type of steel based on the percentage of carbon and finds the mechanical properties of the material in a database that is incorporated into the software. The software's basis of operation is computational analysis through digital processing of metallographic images obtained through experimental laboratory processes using NI Lab VIEW software from National Instruments®.
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Zaharia, Sebastian Marian, and Rareş Ioan Ştefăneanu. "Design and Manufacturing Process for a Ballistic Missile." Scientific Bulletin 21, no. 2 (December 1, 2016): 140–46. http://dx.doi.org/10.1515/bsaft-2016-0049.

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Abstract Designing a ballistic missile flight depends on the mission and the stress to which the missile is subject. Missile’s requests are determined by: the organization of components; flight regime type, engine configuration and aerodynamic performance of the rocket flight. In this paper has been developed a ballistic missile with a smooth fuselage type, 10 control surfaces, 8 directional surfaces for cornering execution, 2 for maneuvers of execution to change the angle of incidence and 4 stabilizers direction. Through the technology of gluing and clamping of the shell and the use of titanium components, mass of ballistic missile presented a significant decrease in weight and a structure with high strength.
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Dobra, Andreea. "VBA for Tracking Manufacturing Process in SME." Applied Mechanics and Materials 186 (June 2012): 176–81. http://dx.doi.org/10.4028/www.scientific.net/amm.186.176.

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This paper presents a tools management ways (VB for Excel) for small and medium enterprises. The implementations are simple and accessible. The monitoring tools and insurance a minimum stock (for the manufacturing process without interruption) are the necessary elements to manage. The technological itinerary dictates the type and list of needed tools, to ensure the manufacture process. By using a mobile system for transfers the used tools into warehouse and the necessary tools to CNC manufacturing center, the preparation time for the manufacturing process, can be reduced. This can be monitored and managed by using a barcode scanner and dedicated software.
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28

Subramanya, N., A. R. Satheesh Kumar, Vikas Yadav, and R. K. Venkatesh. "Manufacturing process planning in aerospace systems." IOP Conference Series: Materials Science and Engineering 1258, no. 1 (October 1, 2022): 012027. http://dx.doi.org/10.1088/1757-899x/1258/1/012027.

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Process planning is a task comprising a broad range of activities to design and develop an appropriate manufacturing process for producing a part. Interpretation of the part design, selection of manufacturing processes, definition of operations, operation sequences, machining datums, geometrical dimensions and tolerances are some common activities associated with the task. Manufacturing process planning can be defined as systematic determination of detailed methods by which work pieces or parts can be manufactured economically and competitively from raw material stage to final finished size. Geometrical features, dimensional sizes, tolerances, materials, and finishes, are analyzed evaluated to determine appropriate sequence of processing operations, which are based on specific, available resources viz machinery and manpower. Inputs to process planning are designing data, raw material data, resource data (machining data, tooling data, fixture data etc), quality requirement data, production type data etc. The output of a process planning is a process document which is an important document in production management. The paper mainly discusses about production planning and control of metallic manufacturing activities in an aerospace Research and Development (R&D) industry, main emphasis on manufacturing process planning. The general process planning methodology adopted in an aircraft industry is discussed. Elements and Functions of process planning, model of process planning, main mission of process planning, the interaction of processes and its process performance indices are discussed and presented. Importance of manufacturing process planning in an aerospace R&D industry is debated. Also, a case study of process planning adopted for manufacturing of a critical Aircraft system component is discussed.
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Choi, Won Sik, Mi Jung Sin, Sun Mi Choi, Chang Ju Lee, Min Kue Kim, Sung Won Chung, Jong Min Park, et al. "Manufacturing Process for Bush Type Bearing Metal Using Centrifugal Casting." Advanced Materials Research 941-944 (June 2014): 1904–7. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.1904.

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This paper regard the development for bush type bear metal using centrifugal casting by changing the rpm, amount of melting metal bush type bearing metal process was fixed also bush type bearing casting is possible by using centrifugal casting machine, bonding test results meet the specification and results of non-destructive testing meet the inspection.
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Ahn, D. G., S. H. Lee, and D. Y. Yang. "Development of transfer type variable lamination manufacturing (VLM-st) process." International Journal of Machine Tools and Manufacture 42, no. 14 (November 2002): 1577–87. http://dx.doi.org/10.1016/s0890-6955(02)00054-8.

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Barbosa, William S., Felipe C. Gouvea, Ana Rosa F. A. Martins, Simone L. R. Belmonte, and Renan F. F. Wanderley. "Development of Spare-Parts Process Chain in Oil & Gas Industry Using Industry 4.0 Concepts." International Journal of Engineering and Technology 14, no. 2 (May 2022): 9–14. http://dx.doi.org/10.7763/ijet.2022.v14.1194.

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Through the expansion of Industry 4.0, the Oil & Gas industry in the world is undergoing a major transformation, so that the formalization of a process chain for the manufacture of spare-parts becomes increasingly necessary. This work aims to create work patterns using the concepts of industry 4.0 applied to the Oil & Gas industry, through the study of several work- pieces of this area. All spare-parts were used to create a chain of manufacturing processes. From there, they were recreated through different digital or hybrid manufacturing techniques. Several points such as geometry, type of acquisition of geometry, types of raw materials, types of manufacturing technology and machinery were addressed. Mechanical tests were carried out at different stages of the process. The results obtained formed a basis for strategies aiming solving problems of the studied spare-parts, using hybrid and additive manufacturing techniques, combined with the concepts of Industry 4.0. The created protocol was a descriptive and detailed standardization of the production chain process. The evaluation of the processes, justifications and solutions was applicable for each demand, generating a virtual catalog of spare-parts and that fed a cyclical model of experiences that continually update the database itself.
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UEDA, Masahiro, David CARTER, Kazuo YAMAZAKI, and Yasuhiro KAKINUMA. "Identification of Dynamic Process Response in DED-Type Additive Manufacturing Process and Its Application to Process Optimization." Journal of the Japan Society for Precision Engineering 85, no. 10 (October 5, 2019): 849–55. http://dx.doi.org/10.2493/jjspe.85.849.

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Costa Ferreira Junior, Silas, and Afonso Carlos Corrêa Fleury. "Performance assessment process model for international manufacturing networks." International Journal of Operations & Production Management 38, no. 10 (October 1, 2018): 1915–36. http://dx.doi.org/10.1108/ijopm-03-2017-0183.

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Purpose Multinational companies have manufacturing operations in various countries; however, there is scarce evidence on how they assess performance of the network-based operations of their factories, called international manufacturing networks (IMN). The purpose of this paper is to propose a process model for the performance assessment of IMNs. Design/methodology/approach The IMN performance assessment process model was developed from the extant literature and was empirically verified in its congruency and usefulness via a multiple case research. For that, in each case the general process model was derived into a specific application that fit the type of IMN on focus. Qualitative and quantitative data were collected from the case companies’ reports, profiling forms and interviews, followed by within-case and cross-case analyses. Findings Evidence suggest that the process model, along with its derivations, is a valuable tool to describe and explain how IMN performance assessment unfolds in real organizational environments. Additionally, three propositions emerged: IMN performance assessment has distinct characteristics depending on the type of IMN adopted, which in turn depends on the company’s internationalization strategy; IMN performance assessment has more strategic value and importance for companies that are globally coordinated and adopt “rooted” manufacturing strategies; and companies design their IMN performance assessment on a trial-and-error basis. Research limitations/implications As all case-based research, this paper has generalizability limitations. Thus, next steps may include a large-scale survey and an action research that will develop and implement a full-fledged IMN performance assessment. Practical implications The process model and descriptive insights provide a diagnostic tool and subsidies that may encourage managers to review and improve their current IMN performance assessment. Originality/value The process model contributes to addressing a 20-year gap concerning how to approach IMN performance assessment in a holistic and systematic manner.
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Semeniuc, Cristina Anamaria, Ancuţa Mihaela Rotar, Carmen Pop, Ramona Suharoschi, and Sorin Apostu. "The Manufacturing Process and Quality Control of a Holland Type Cheese." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Food Science and Technology 70, no. 2 (November 13, 2013): 147. http://dx.doi.org/10.15835/buasvmcn-fst:9463.

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The aim of this study was to evaluate the influence of storage time on physicochemical shelf-life of Holland type cheese. Cheese samples were stored in ripening room for up to 30 days. Physicochemical parameters of cheese were assessed at 19 and 30 days of storage. Samples were analyzed for titratable acidity, fat in dry matter content, protein and salt content. No significant changes were observed in physicochemical properties during the ripening process.
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Lu, Shan, and Jing Ping Liu. "Finite Element Design and Manufacturing Process of Flexible Roller." Advanced Materials Research 472-475 (February 2012): 1582–85. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.1582.

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In this paper, the design of rigid roller was optimized with finite element method, and processing technology of rigid roller was improved. A new type of flexible roller structure has been designed, and investigated its processing technology, which have important guiding significance in real productivity.
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36

He, Qi. "Advanced Integrated Circuit Manufacturing Technology Process Industry Development." Highlights in Science, Engineering and Technology 71 (November 28, 2023): 402–7. http://dx.doi.org/10.54097/hset.v71i.14606.

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Integrated circuits are circuits with specific functions that are integrated together by semiconductor processes and are a new type of semiconductor device developed in the late 1950s through the 1960s. Integrated circuits are the foundation of information development and the benchmark for high quality development of national economy. This paper introduces the concept of integrated circuits as well as the integrated circuit process, and the application areas of integrated circuits, which account for an expanding and growing share of information, communication, consumer electronics, automotive electronics, medical electronics and other consumer areas. It discusses China's future IC process development path by combining the IC production process and design process, industrial development, design process and preparation limitations, and proposes relevant suggestions and strategies by speculating on the future development of the process.
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Pal, Surajit, and Susanta Kumar Gauri. "Evaluating capability of a bivariate zero-inflated poisson process." International Journal of Engineering, Science and Technology 14, no. 1 (August 8, 2022): 10–20. http://dx.doi.org/10.4314/ijest.v14i1.2.

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A zero-inflated Poisson (ZIP) distribution is commonly used for modelling zero-inflated process data with single type of defect, and for developing appropriate tools for instituting statistical process control of manufacturing processes. However, in reality, such manufacturing scenarios are very common where more than one type of defect can occur. For example, occurrences of defects like solder short circuits (shorts) and absence of solder (skips) are very common on printed circuit boards. In literature, different forms of bivariate zero-inflated Poisson (BZIP) distributions are proposed, which can be used for modelling the manufacturing scenarios where two types of defects can occur. Control charts are designed for monitoring for such processes using BZIP models. Although evaluation of capability is an integral part of statistical process control of a manufacturing process, researchers have given very little effort on this aspect of zero-inflated processes. Only a few articles attempted to evaluate the capability of a univariate zero-inflated process and no work is reported on evbaluating capability of a bivariate zero-inflated process. In this paper, a methodology for measuring capability of a bivariate zero-inflated process is presented. The proposed methodology is illustrated using two case studies.
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38

YIN, RuiYu. "“Flow”, flow network and dissipative structure——Understanding of the physical system of manufacturing process of process manufacturing type." SCIENTIA SINICA Technologica 48, no. 2 (January 26, 2018): 136–42. http://dx.doi.org/10.1360/n092017-00368.

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39

Raja, S., A. John Rajan, V. Praveen Kumar, N. Rajeswari, M. Girija, Santanu Modak, R. Vinoth Kumar, and Wubishet Degife Mammo. "Selection of Additive Manufacturing Machine Using Analytical Hierarchy Process." Scientific Programming 2022 (June 15, 2022): 1–20. http://dx.doi.org/10.1155/2022/1596590.

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3D printing or additive manufacturing (AM) is considered to be the most important technology among the emerging technologies. 3D printing technology is considered as an alternative to the conventional manufacturer machine traditionally used in the manufacturing sector. 3D printing technology is generally classified into seven types. Each type of 3D printing technology has its separate own uniqueness (i.e., operation, material usage, and no wastage). The price of a manufactured item includes all its costs. The most important of these is to take into account the price of the machine being manufactured and the features of the machine. Moreover, the price of the product produced in AM will depend on all the costs required to produce it. Then, it is possible to reduce the cost of the product by choosing the AMM that has significant features and the right price. Therefore, this paper aims to solve a decision-making problem from the AMM selection by using one of the multicriteria decision-making (MCDM) tools, i.e., analytical hierarchy process (AHP). This paper outcome is meant to meet the expectation of end-users. As an initial step, the Micro, Small, and Medium Enterprise (MSME) company gets quotations from some AM companies to choose a type of AM machine known FDM for its structure product and doll product. The first step is to select the most appropriate machines based on cost, size/volume, extruder type, and weight of the machine. Criteria for AHP are derived from decision-makers. Also, in AHP, the pair-wise matrix is obtained from the decision-makers by answering the standard Saaty’s scale criteria questions. In this paper, such a selection method is explored. The outcome of this paper may vary depending on the expectations of the decision-makers. The end of this paper helps to choose the AMM with the right price and features to suit the decision-makers.
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Cunico, Marlon Wesley Machado, Miriam Machado Cunico, Patrick Medeiros Cavalheiro, and Jonas de Carvalho. "Investigation of additive manufacturing surface smoothing process." Rapid Prototyping Journal 23, no. 1 (January 16, 2017): 201–8. http://dx.doi.org/10.1108/rpj-11-2015-0176.

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Purpose The additive manufacturing technologies have been facing an extraordinary growth along the past years. This phenomenon might be correlated with rise of low-cost FDM technologies into the non-professional market segment. In contrast with that, among the main disadvantages found in this sort of equipment are the final object finishing and low mechanical strength. For that reason, the purpose of this paper is to present and characterise a surface treatment which is based on solvent vapour attack and that is also known as smoothing process. In addition, a concise overview about the theory beneath this process is presented besides an experimental study that evaluates the main effects on the mechanical properties of object. Design/methodology/approach To analyse the benefits of this process, the authors preliminarily investigated the working mechanism that supports such surface treatment. It allowed them to identify and select a proper solvent for each material. The authors have also established that the exposure time repetition numbers (passes) were the main variables, whereas temperature, solvent type, drying time, object direction and object shape were constants. The main object dimensions, surface roughness, absorbed solvent mass and mechanical strength were the main study responses. Findings As a result of this work, the peak-peak roughness was reduced in 71 per cent, indicating the potential benefit of this process. On the other hand, excessive solvent exposure implied on relevant dimensional distortions and internal disruptures. It was also possible to see that the vapourised solvent penetrate into the object surface and fused layers and filaments. As consequence, the mechanical strength was also improved. Originality/value Despite the growth that additive manufacturing market segment has seen along the past years, the finishing and mechanical strength of low-cost equipment still lack for improvements. For that reason, applications like solvent vapour attack or smoothing process new perspectives for this non-professional segment, whereas roughness and mechanical strength are improved after its treatment. As a consequence, it is possible to consider a final object to be obtained directly from low-cost FDM in combination with smoothing process.
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JAIN, NEELESH K., and VIJAY K. JAIN. "PROCESS SELECTION METHODOLOGY FOR ADVANCED MACHINING PROCESSES." Journal of Advanced Manufacturing Systems 02, no. 01 (June 2003): 5–45. http://dx.doi.org/10.1142/s0219686703000204.

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Manufacture of a product in a desired shape and size with the desired characteristics and properties depends not only on the design of the product but also on the selection of an appropriate manufacturing process(es), which requires knowledge about the various alternatives available. This paper describes the process selection methodology for unconventional or advanced machining processes (AMPs), along with a preliminary selection strategy for basic type of manufacturing process. These two tasks along with parametric optimization form the core of an integrated and automated process planning system for an advanced machining environment. The process selection methodology for the AMPs is based on elimination and ranking strategy. To facilitate the process selection, AMPs have been reclassified or regrouped according to their material application capabilities, shape or manufacturing feature generating capabilities, operational capabilities, economic aspects, and environmental aspects. The described process selection methodologies for basic manufacturing process and AMPs, have been implemented in a software named as APSPOAMPS (Automated Process Selection and Parametric Optimization of AMPs). This paper also describes the proposed reclassifications of AMPs, implementation details of the developed software along with the two test examples.
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42

Segura-Alcaraz, Jorge G., Manolo Zamorano, Pau Miro, Antonio Nadal, and Jose E Crespo. "Applying an experimental design to improve the manufacturing process and properties of a novel sound absorber with recycled fibres from End-of-Life-Tyres." Journal of Industrial Textiles 50, no. 1 (December 20, 2018): 13–22. http://dx.doi.org/10.1177/1528083718819876.

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The present work analyses the acoustic properties of acoustic absorbent textile products obtained from the thermo-compression of recycled End-of-Life Tyres. The objective is to obtain products of greater added value from the waste of End-of-Life Tyres, which can become a substitute for the fibrous materials currently used as acoustic absorbents. Experimental design was used to determine the number of samples to be prepared and the manufacturing conditions to maximise acoustic absorption. Five factors were taken into account: material type, temperature, time, weight and compaction factor. The obtained results demonstrate the validity of the experimental design to select the manufacturing factors in order to improve the sound absorption of these textile waste products.
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43

Huang, Xue Mei, Li Hong Zhao, and Yong Xiang Tong. "Virtual Machining Environment Construction in Vericut for Process Planning." Applied Mechanics and Materials 668-669 (October 2014): 1629–32. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1629.

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Virtual machining environment in Vericut was proposed with purpose of enhancing process planning practice training for undergraduates. Main issues include construction of virtual manufacturing resource library and virtual machining process execution environment for planned process. Virtual manufacturing resource library is composed of virtual and digital models for diverse kinds of machine tools. Type determination and classification principle of machine tools and virtual equipment modeling method in the proposed environment are studied. Virtual machining for particular process by multi setup and cut stock transfer method are defined. The proposed Virtual machining process execution environment provides effective ways for enrolled undergraduates applying machining knowledge in process planning, gaining experience with advanced machine tools and manufacturing technology in industrial world.
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Sampedro, Gabriel Avelino R., Danielle Jaye S. Agron, Gabriel Chukwunonso Amaizu, Dong-Seong Kim, and Jae-Min Lee. "Design of an In-Process Quality Monitoring Strategy for FDM-Type 3D Printer Using Deep Learning." Applied Sciences 12, no. 17 (August 31, 2022): 8753. http://dx.doi.org/10.3390/app12178753.

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Additive manufacturing is one of the rising manufacturing technologies in the future; however, due to its operational mechanism, printing failures are still prominent, leading to waste of both time and resources. The development of a real-time process monitoring system with the ability to properly forecast anomalous behaviors within fused deposition modeling (FDM) additive manufacturing is proposed as a solution to the particular problem of nozzle clogging. A set of collaborative sensors is used to accumulate time-series data and its processing into the proposed machine learning algorithm. The multi-head encoder–decoder temporal convolutional network (MH-ED-TCN) extracts features from data, interprets its effect on the different processes which occur during an operational printing cycle, and classifies the normal manufacturing operation from the malfunctioning operation. The tests performed yielded a 97.2% accuracy in anticipating the future behavior of a 3D printer.
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45

Liu, Mindong, Zhonghua Yang, and Mei Meng. "Integrated Modelling and Simulation Method for the Project-Type Manufacturing Process: Shipyard Dock Shop Hoisting Process." IEEE Access 9 (2021): 89999–90010. http://dx.doi.org/10.1109/access.2021.3091470.

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46

Lad, Hiteshkumar, Vibhutikumar Joshi, and Rameshchandra Makavana. "Natural Evaporation Type Salt Manufacturing Process Resource Management using Distributed Embedded System." International Journal of Computer Applications 117, no. 23 (May 20, 2015): 33–37. http://dx.doi.org/10.5120/20696-3590.

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47

Liu, Jianching, Diing-Guey Hwang, John-Chang Chen, and Wen-Jei Yang. "Development of a theoretical model for a solvent-type prepreg manufacturing process." Composites Science and Technology 51, no. 3 (January 1994): 359–66. http://dx.doi.org/10.1016/0266-3538(94)90105-8.

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48

Knop, Krzysztof. "Multivariate Nonconformity Analysis for Paving Stone Manufacturing Process Improvement." Management Systems in Production Engineering 30, no. 4 (October 29, 2022): 331–41. http://dx.doi.org/10.2478/mspe-2022-0042.

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Abstract The article presents the result of multidimensional analysis of ‘Behaton’ type paving stones’ nonconformities for improving the production process by improving the quality of the final product. Statistical tools, including SPC tools and quality tools, both basic and new, were used to analyse nonconformities in the spatial-temporal system, i.e. according to the type of nonconformity and according to the examined months. The purpose of using the data analysis tools was to thoroughly analyse the cases of nonconformities of the tested product, obtain information on the structure of these nonconformities in the various terms, and information on the stability and predictability of the numerical structure of nonconformity over time. Potential causes influencing a large percentage of paving stone defects were identified, factors and variables influencing the most frequently occurring nonconformities were determined, and improvement actions were proposed. As a result of the multidimensional and multifaceted analyses of paving stone nonconformities, it was shown that in the structure of nonconformity there were cases that were unusual in terms of the number of occurrences, and the lack of stability in the number of nonconformities in terms of the examined months was proven. Three critical nonconformities of the tested product were identified: side surface defects, vertical edge defects, and scratches and cracks. It was determined that the most important factor causing a large percentage of nonconformity was the time of shaking and vibrating the concrete, which was significantly related to the technical condition of the machines, and the most important reason for a large percentage of paving stone nonconformity was the lack of efficient maintenance. Machine, method, and man turned out to be the most important categories of problem factors and specific remedial actions were proposed. A multidimensional look at the structure of paving stone nonconformity as well as the factor and causes causing them has brought a lot of valuable information for the management staff of the analysed company, thanks to which it is possible to improve the production process and improve the quality of the final product.
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Peng, Wen Li, Wen Ni Zhang, and Hai Ming Jin. "Manufacturing Resources Optimization Deployment for Complicated Parts Based on Network." Advanced Materials Research 186 (January 2011): 89–93. http://dx.doi.org/10.4028/www.scientific.net/amr.186.89.

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Agility of physical manufacturing unit is the competitive advantage in the global manufacturing environment. It is believed that the agility can be realized by dynamically optimization deployment of networked manufacturing resources. To solve this problem, logical manufacturing unit (LMU) and logical manufacturing process (LMP) are proposed and defined to decompose and model networked manufacturing task according to the process of complex part. When selecting manufacturing resources for these manufacturing tasks, many factors should be taken into account. However, manufacturing cost, time to market and manufacturing quality are the most important factors. In this paper, networked manufacturing resources pre-deployment is carried out to find candidate manufacturing resources based on manufacturing resources abilities, such as part family, geometric feature, material type, rough type, dimension range, machining method, precision grade and production type. Then, taking transportation time and cost besides manufacturing time, cost and quality into consideration, the objectives and restrictions of manufacturing resources optimization deployment are analyzed, and manufacturing resources optimization deployment problem is considered as a multi-objectives optimization problem.
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Kuo, Jian Long, and Chung Hao Hsieh. "Optimal Improvement on Cutting Yield Rate in ACF Attach Process of TFT-LCD Module Using Response Surface Method." Advanced Materials Research 126-128 (August 2010): 208–13. http://dx.doi.org/10.4028/www.scientific.net/amr.126-128.208.

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In TFT-LCD manufacturing process, the ACF is an essential material. To make the driving circuit conductive, the ACF attach process is used in bonding process. Since the total manufacturing cost becomes lower year by year, the ACF material occupies a great deal of manufacturing cost. The boding technology has been changed from the conventional long bar type into short bar type to save the material usage. The parameter setting of the short bar type machine was not initially optimized. The NG rate of short bar type ACF attach process is higher as compared to the long bar type. The rework cost and material cost may increase in the short bar type process. Therefore, the parameter optimization for the associated short bar type ACF attach process becomes an essential problem. The response surface method is adopted to model the problem. The yield rate is selected as objective function for study. In the analysis of response surface method, the plasma clean speed, ACF peeling speed and ACF cutter spring setting are selected three key factors for discussion. Results reveal that the yield rate can be improved up to 99.35%, which is very helpful to improve the manufacturing process.
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