77
Views
4
CrossRef citations to date
0
Altmetric
Original Article

Optimisation design of aluminium radiator extrusion die using response surface method

, , &
Pages s288-s290 | Received 20 Sep 2010, Accepted 15 Nov 2010, Published online: 12 Nov 2013
 

Abstract

The most important way to improve the quality of aluminium extrudates and enhance the life‐time of extrusion dies is to ensure that the material flows through the die land exit with the same velocity. In this paper, an optimisation strategy was developed for an aluminium radiator extrusion die design. A computer aided optimisation model was built based on the Box‐Behnken experimental design, response surface method and particle swarm algorithm. The parameters, such as depth, location of the die aperture, etc. were selected as the design variables. Through a series of simulations and optimisations, an optimal aluminium radiator extrusion die with uniform velocity distribution was obtained. Compared to the original die, the velocity difference across the cross‐section of the extrudate was reduced from 16·5 to 4·4 mm s−1. The extrudate was not bent and met the practical requirements.

The authors would like to acknowledge the financial support from the National Science & Technology Pillar Program in the Eleventh Five‐year Plan Period of the People’s Republic of China under Grant No. 2009BAG12A07‐B01, Shandong Provincial Natural Science Foundation under Grant No. Z2008F09, and Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China under Grant No. IRT0931.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 286.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.