27 research outputs found
sj-docx-1-pie-10.1177_09544089221081624 - Supplemental material for Process Modelling and Optimization using ANN and RSM during WSEM of Ni<sub>51.59</sub>Ti<sub>48.41</sub> shape memory alloy
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221081624 for Process Modelling and Optimization using ANN and RSM during WSEM of Ni51.59Ti48.41 shape memory alloy by Thakur Singh, Jatinder Kumar and Joy Prakash Misra in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-1-pie-10.1177_09544089231215227 - Supplemental material for Process modeling and optimization of titanium alloy Ti-6Al-7Nb during WEDM using regression and ANN
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231215227 for Process modeling and optimization of titanium alloy Ti-6Al-7Nb during WEDM using regression and ANN by Vikas Sharma, Joy Prakash Misra and Sandeep Singhal in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-pdf-2-pie-10.1177_09544089221081624 - Supplemental material for Process Modelling and Optimization using ANN and RSM during WSEM of Ni<sub>51.59</sub>Ti<sub>48.41</sub> shape memory alloy
No full textSupplemental material, sj-pdf-2-pie-10.1177_09544089221081624 for Process Modelling and Optimization using ANN and RSM during WSEM of Ni51.59Ti48.41 shape memory alloy by Thakur Singh, Jatinder Kumar and Joy Prakash Misra in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-1-pie-10.1177_09544089231215695 - Supplemental material for Surface modification by electrical discharge machining: A systematic literature review and bibliometric analysis
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231215695 for Surface modification by electrical discharge machining: A systematic literature review and bibliometric analysis by Sharad Yadav, Vishwajeet Kumar, Joy Prakash Misra and
Rabesh Kumar Singh, Vikas Upadhyay in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine Alloy
No full textCutting speed (CS) is a key performance measure to achieve optimal utilization of the WEDM process. However, input process parameters of WEDM and combination of wire and workpiece material greatly hamper CS and hence productivity and machining efficiency. Therefore, it is essential to pick the right combination of parameters and wire and workpiece material to obtain better CS. In this paper, four process parameters: Ton, Toff, Sv, and Ip were chosen to develop an empirical model for CS during WEDM of nimonic 263 to provide a guideline to the potential users of the technique. This paper describes the response surface methodology (RSM) based mathematical modeling for average cutting speed. Furthermore, analysis of variance (ANOVA) was applied to find out significant process parameters and it was depicted that pulse on time and peak current were the major parameters affecting CS. In addition, WEDMed surfaces were analysed through FE-SEM at various discharge energy levels. The WEDMed surfaces appeared in the form of micro-cracks, craters, spherical droplets and the lump of debris. It is obvious from the current investigation that input parameters have the significant influence on cutting speed. The key features of experimental procedure are also highlighted in this paper
Empirical Modeling of Average Cutting Speed during WEDM of Hastelloy C22
No full textCutting speed (CS) is a key performance measure to achieve optimal utilization of the WEDM process. However, input process parameters of WEDM and combination of wire and workpiece material greatly hamper CS and hence productivity and machining efficiency. Therefore, it is essential to pick the right combination of parameters and wire and workpiece material to obtain better CS. In this paper, four process parameters: Pulse-on time, Pulse-off time, Spark-gap voltage, and Peak current were chosen to develop an empirical model for CS during WEDM of Hastelloy C22 to provide a guideline to the potential users of the technique. This paper describes the response surface methodology (RSM) based mathematical modeling for average cutting speed. Furthermore, analysis of variance (ANOVA) was applied to find out significant process parameters and it was depicted that pulse on time and peak current were the major parameters affecting CS
Optimization of duplex stainless steel dry turning parameters using desirability function
No full text
Experimental investigation on surface modification of aluminum by electric discharge coating process using TiC/Cu green compact tool-electrode
No full textThis article presents the surface modification of aluminum workpiece by electric discharge coating (EDC) process using TiC /Cu green compact tool-electrode. Powder metallurgy (P/M) tool-electrodes were used to create hard layer(s) on the workpiece surface by a material transfer from this tool-electrode (produced with powder metallurgy) to the workpiece surface it was possible to create hard layer(s) there with high tribological properties and integrity. The present study has been carried out to investigate the effect of input parameters (peak current, pulse-on time, composition and compaction pressure of the tool-electrode) on process performance parameters (roughness and micro-hardness of workpiece surface and coating layer thickness). Regression models have been developed to define a mathematical correlation between input and process performance parameters. Analysis of variance has been conducted at the 95% confidence level, to test the significance of these models. The results of the experiments indicate that the regression models are highly significant. Confirmation experiments were conducted to validate the developed model. By the realization of ‘‘confirmation experiments’’, it became evident that the developed regression models were correct and acceptable. Moreover, EDX analysis of worksample obtained of the workpiece surface has been carried out to confirm the process of material transferring mentioned above
