Techno Press
Techno Press

You have a Free online access/download for a limited time.
Journal of Computational Design and Engineering   Volume 1, Number 4, October 2014, pages 256-265
DOI: http://dx.doi.org/10.12989/cde.2014.1.4.025
 
Optimization of injection molding process for car fender in consideration of energy efficiency and product quality
Hong Seok Park and Trung Thanh Nguyen

 
Abstract     [Full Text]
    Energy efficiency is an essential consideration in sustainable manufacturing. This study presents the car fender-based injection molding process optimization that aims to resolve the trade-off between energy consumption and product quality at the same time in which process parameters are optimized variables. The process is specially optimized by applying response surface methodology and using nondominated sorting genetic algorithm II (NSGA II) in order to resolve multi-object optimization problems. To reduce computational cost and time in the problem-solving procedure, the combination of CAE-integration tools is employed. Based on the Pareto diagram, an appropriate solution is derived out to obtain optimal parameters. The optimization results show that the proposed approach can help effectively engineers in identifying optimal process parameters and achieving competitive advantages of energy consumption and product quality. In addition, the engineering analysis that can be employed to conduct holistic optimization of the injection molding process in order to increase energy efficiency and product quality was also mentioned in this paper.
 
Key Words
    Multi-objective optimization; Injection molding process; Energy efficiency; Plastic car fender
 
Address
Lab for Production Engineering, School of Mechanical and Automotive Engineering, University of Ulsan, San29, Mugeo 2-dong, Namgu, Ulsan, 680-749, Korea
 

Techno-Press: Publishers of international journals and conference proceedings.       Copyright © 2018 Techno Press
P.O. Box 33, Yuseong, Daejeon 305-600 Korea, Tel: +82-42-828-7996, Fax : +82-42-828-7997, Email: technop@chol.com