Integrated TOPSIS-PROMETHEE-MOORA model for material selection of crankcase cover

454-461Material selection is an important task for designers in all industries. To satisfy customer needs, designers have to predict the performance of all available materials and find out the best material for the product. Since the various materials are available in the market with diverse characteristics, which makes the material selection process is complex. So, there is an indispensable need for a proper material selection methodology. The designers have to identify the best approach which enhanced the product performance and also reduced the time of designing. In this study, first-time selection of materials for two-wheeler crankcase cover has done using integrated TOPSIS (Technique for order preference by similarity to ideal solution) PROMETHEE (Preference ranking organization method for enrichment evaluation), and MOORA (Multi-objective optimization by ration analysis) model. The final rankings of alternatives obtained from this integrated model have also been compared with each other for finding the best material for crankcase cover. Six aluminum alloys (Alloy 360, Alloy 380, Alloy A380, Alloy 383, Alloy B390, and Alloy 13) have been taken as alternatives, and seven attributes (Brinell hardness, yield strength, % elongation, young’s modulus, ultimate tensile strength, fatigue strength, and material cost) have been taken as criteria for this study

Integrated TOPSIS-PROMETHEE-MOORA model for material selection of crankcase cover

Material selection is an important task for designers in all industries. To satisfy customer needs, designers have to predict the performance of all available materials and find out the best material for the product. Since the various materials are available in the market with diverse characteristics, which makes the material selection process is complex. So, there is an indispensable need for a proper material selection methodology. The designers have to identify the best approach which enhanced the product performance and also reduced the time of designing. In this study, first-time selection of materials for two-wheeler crankcase cover has done using integrated TOPSIS (Technique for order preference by similarity to ideal solution) PROMETHEE (Preference ranking organization method for enrichment evaluation), and MOORA (Multi-objective optimization by ration analysis) model. The final rankings of alternatives obtained from this integrated model have also been compared with each other for finding the best material for crankcase cover. Six aluminum alloys (Alloy 360, Alloy 380, Alloy A380, Alloy 383, Alloy B390, and Alloy 13) have been taken as alternatives, and seven attributes (Brinell hardness, yield strength, % elongation, young’s modulus, ultimate tensile strength, fatigue strength, and material cost) have been taken as criteria for this study

Characterization of on Newly Developed Hybrid Reinforced Composite of Polypropylene with Agave –Amaricana, Nano-talc and Starch

The incrementing demand for green and biodegradable material due to increased awareness and government regulations. This gives a new path to the creation of hybrid composite. This may improve the properties. In the present research work, natural fibres were extracted from Agave Americana plant, starch, and nano-talc reinforced in polypropylene matrix was used to synthesis hybrid composite by twin screw extruder. Maleic anhydride grafted polypropylene was used to enhance the compatibility between natural fibres and starch. Various samples were prepared by varying the content of natural fibres, starch and nano-talc. The prepared hybrid composite tested for its homogeneity by SEM and XRD test. The nano-talc in small content and natural fibres content of 5% gave better properties with enhanced tensile strength, and impact strength. Homogeneous and reactive mixing was reflected in SEM and FTIR, were a good indication for producing cheaper and lighter materials with enhanced mechanical performance

Characterization of on Newly Developed Hybrid Reinforced Composite of Polypropylene with Agave –Amaricana, Nano-talc and Starch

372-378The incrementing demand for green and biodegradable material due to increased awareness and government regulations. This gives a new path to the creation of hybrid composite. This may improve the properties. In the present research work, natural fibres were extracted from Agave Americana plant, starch, and nano-talc reinforced in polypropylene matrix was used to synthesis hybrid composite by twin screw extruder. Maleic anhydride grafted polypropylene was used to enhance the compatibility between natural fibres and starch. Various samples were prepared by varying the content of natural fibres, starch and nano-talc. The prepared hybrid composite tested for its homogeneity by SEM and XRD test. The nano-talc in small content and natural fibres content of 5% gave better properties with enhanced tensile strength, and impact strength. Homogeneous and reactive mixing was reflected in SEM and FTIR, were a good indication for producing cheaper and lighter materials with enhanced mechanical performance

Force and temperature analysis during distinct machining environment using an optimization approach

Cryogenic cooling with liquid nitrogen has a wide field of scientific and engineering applications. The aim of the presented research work is to analyze the impact on cutting force and temperature during the LN2 single supply at (i) rake face and double supply (ii) rake and flank face of TiN coated carbide cutting tool during turning of AISI D3 steel. Taguchi based S/N ratio was used for Design of Experiments (DoE) of L18 orthogonal array. The four control factors were selected.The three factors like speed, feed and depth of cut were varied to three levels. The fourth factor was the machining condition which was varied to two levels. The cutting force and temperature were declined by 32-48% and 34-46% during the double supply of LN2 at rake and flank face as compared to single supply at rake face. The influence and percentage of contribution of each factor were found out by Analysis of Variance (ANOVA). The double supply method with LN2 supply at rake and flank face had the highest effect of contribution in the percentage as 77.13% and 87.42% for cutting force and temperature respectively. The values obtained during confirmatory runs were very close to the optimized results within the limits

Force and temperature analysis during distinct machining environment using an optimization approach

804-811Cryogenic cooling with liquid nitrogen has a wide field of scientific and engineering applications. The aim of the presented research work is to analyze the impact on cutting force and temperature during the LN2 single supply at (i) rake face and double supply (ii) rake and flank face of TiN coated carbide cutting tool during turning of AISI D3 steel. Taguchi based S/N ratio was used for Design of Experiments (DoE) of L18 orthogonal array. The four control factors were selected. The three factors like speed, feed and depth of cut were varied to three levels. The fourth factor was the machining condition which was varied to two levels. The cutting force and temperature were declined by 32-48% and 34-46% during the double supply of LN2 at rake and flank face as compared to single supply at rake face. The influence and percentage of contribution of each factor were found out by Analysis of Variance (ANOVA). The double supply method with LN2 supply at rake and flank face had the highest effect of contribution in the percentage as 77.13% and 87.42% for cutting force and temperature respectively. The values obtained during confirmatory runs were very close to the optimized results within the limits

Modelling and Simulation of Crankcase Cover Manufacturing in the Automobile Industry

597-602The simulation creates the virtual production model which is exactly like the real environment, and it provides future insights before laying down the actual production plant layout. With the help of simulation, we can simulate the complex and costly manufacturing system without investing money physically and check the system’s real-life behavior. In this study, for the first time, the modelling and simulation of two-wheeler crankcase cover manufacturing are done with the help of Flexsim. This study deals with the development of a simulation model for crankcase cover manufacturing systems in the automobile industry. Flexsim simulation tool is used as an optimization tool for analyzing the effect of varying the number of operators and process stations on system performance using various scenarios. The results indicate that scenario 2 is best for crankcase cover manufacturing which reduces the overall idle time of all process stations and optimizes the number of Die-Casting Machines (DCM) and Vertical Milling Center (VMC). These results are useful for all industries for simulating their process or product layout

sj-docx-1-pie-10.1177_09544089231214633 - Supplemental material for Improved mechanical properties of multiwalled carbon nanotube reinforced acrylonitrile butadiene styrene nanocomposites prepared by twin screw extruder

Supplemental material, sj-docx-1-pie-10.1177_09544089231214633 for Improved mechanical properties of multiwalled carbon nanotube reinforced acrylonitrile butadiene styrene nanocomposites prepared by twin screw extruder by Phool Singh, Ranganath M Singari and RS Mishra in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p

Wear assessment of 3–D printed parts of PLA (polylactic acid) using Taguchi design and Artificial Neural Network (ANN) technique

Additive manufacturing (AM) is a rapidly growing technology with promising results and challenges. The aim of this study is to optimize the process parameters of fused deposition modeling (FDM) by exploring the wear performance of Polylactic acid (PLA). In this work, variation of process parameters like layer thickness, orientation and extruder temperature has been investigated. Based on these parameters wear specimen (accordance to ASTM G99) was printed by using FDM. The wear behavior of polymer pin under low sliding speed was investigated. Taguchi Design of experiments by using L _9 orthogonal array is applied to optimize the process parameters at which minimum wear rate is obtained and the same has also been investigated by using analysis of variance (ANOVA) and artificial neural network (ANN) technique for rigorous validation / optimization. Results shows that build orientation have major influence on the wear performance of polymer pin. The paper is presented with the display of results, discussion, and conclusions drawn

Mechanical and wear performance of Al/SiC surface composite prepared through friction stir processing

In the present research work, AA7075 composite reinforced with silicon carbide particles has been fabricated using Friction stir processing (FSP). The silicon carbide particles having a size of 40 μ m were placed in grooves of length 160 mm, width 2 mm, depth 3.5 mm, that were generated on the AA7075 plate. The square pin tool is utilized for fabricating the composite at two different rotational speed i.e. 700 and 1000 rpm. Effect of processing, particle addition and tool rotational speed is analyzed on mechanical and wear properties of the material. On friction stir processing the microhardness value and elongation of the material increased. Reinforcement addition contributed to decrease in ductility and tensile strength while on the contrary microhardness and wear resistance of the material improved. Tool rotational speed showed a direct relation with the tested mechanical and wear properties. Adhesive wear was the prominent wear mechanism and Fe layer formation was observed on the worn surface, contributing to increased wear resistance. These fabricated composites can find vast application in industries like automotive, defence and aerospace