Optimization of Die extrusion Parameters Using FEM
Prasad Satish Divekar
, Dr.Thippeswamy Ekbote
Aluminum, Ansys, Taguchi.
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.
"Optimization of Die extrusion Parameters Using FEM", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 10, page no.52 - 58, October-2019, Available :https://ijsdr.org/papers/IJSDR1910010.pdf
Volume 4
Issue 10,
October-2019
Pages : 52 - 58
Paper Reg. ID: IJSDR_191027
Published Paper Id: IJSDR1910010
Downloads: 000347174
Research Area: Engineering
Country: Hubli, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
