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HERO ID
1775193
Reference Type
Journal Article
Title
A study on manufacturing of aluminum automotive piston by thixoforging
Author(s)
Choi, Jil; Park, JH; Kim, JaeH; Kim, SKuk; Kim, YHo; Lee, JunHee
Year
2007
Is Peer Reviewed?
Yes
Journal
International Journal of Advanced Manufacturing Technology
ISSN:
0268-3768
Volume
32
Issue
3-4
Page Numbers
280-287
DOI
10.1007/s00170-005-0334-0
Web of Science Id
WOS:000244487300006
Abstract
The manufacture of many products related to the automobile
and airplane industries by semi-solid forming is nowadays increasing from environmental and
economical points of view. Especially in the automobile industry, to upgrade engine capability
and reduce engine weight, the aluminum engine piston has already been developed by researchers
and industrial technicians. Currently, forming methods to manufacture engine piston are casting,
squeeze casting and hot forging. These methods, however, include several casting defects and need
post machining as well. In this study, aluminum engine piston will be manufactured by
thixoforging according to forming variables. In addition, it is very important to find the
effects of forming variables on the final product by thixoforging. In order to determine the
effects, however, researchers and industrial technicians have depended upon many experimental
trials. In this study, a statistical approach for thixoforging has been adopted to improve
experimental efficiency. Forming variables such as initial solid fraction, die temperature, and
compression holding time were considered for manufacturing aluminum engine piston by
thixoforging. Hardness and microstructure characterization were carried out so that the optimal
forming condition could be found by the statistical approach. The experiment to make aluminum
engine piston was performed under the optimal condition found by the statistical approach.
Keywords
thixoforging; aluminum automotive piston; surface response analysis; genetic algorithm; neural network decision maker
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