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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Optimization of Die extrusion Parameters Using FEM |
| Authors Name: | Prasad Satish Divekar , Dr.Thippeswamy Ekbote |
| Unique Id: | IJSDR1910010 |
| Published In: | Volume 4 Issue 10, October-2019 |
| Abstract: | The present work proposes an integrated FEA based approach to evaluate the extrusion process conditions numerically and to find the optimal process variables for the forward extrusion of Al 6061 alloy. The simulations are carried out for different ram velocities, coefficient of frictions and die angles. The simulation results of temperature, extrusion load, extrusion ratio and blank velocity are presented. Consequently optimization has been carried out for to minimize the temperature and to minimize extrusion load using Taguchi’s technique. The present work deals with the different approaches; one is a statistical method, i.e., Taguchi orthogonal array and the one is an evolutionary algorithm, i.e., Particle Swarm Optimization in order to determine optimal values of logarithmic strain, die angle and friction coefficient with a purpose to find minimum Extrusion force. With the optimal values obtained in both the techniques, a three dimensional model is developed and analysis is carried out on ANSYS platform. Based on the ANSYS results optimal values or the extrusion process variables are determined. |
| Keywords: | Aluminum, Ansys, Taguchi. |
| Cite Article: | "Optimization of Die extrusion Parameters Using FEM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 10, page no.52 - 58, October-2019, Available :http://www.ijsdr.org/papers/IJSDR1910010.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1910010 Registration ID:191027 Published In: Volume 4 Issue 10, October-2019 DOI (Digital Object Identifier): Page No: 52 - 58 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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