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http://dx.doi.org/10.14775/ksmpe.2017.16.6.109

A Study on Dimension Optimization of Injection-molded Automotive Bumper by Six Sigma  

Kim, Joo-Kwon (Department of Mechanical Engineering, Pukyong National Univ.)
Kim, Jong-Sun (Molds and Dies Technology Group, Korea Institute of Industrial Technology)
Lee, Jun-Han (Molds and Dies Technology Group, Korea Institute of Industrial Technology)
Kwak, Jae-Seob (Department of Mechanical Engineering, Pukyong National Univ.)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.16, no.6, 2017 , pp. 109-116 More about this Journal
Abstract
In this study, the optimization of the overall dimensions of an automobile bumper was investigated through CAE and experiment using the Six Sigma method and design of experiment (DOE) method, respectively. Injection pressure, injection speed, injection time, cooling time, holding time, injection temperature, and holding pressure were selected as the vital parameters affecting the overall width of product through analysis of trivial many using CAE. The optimal values were determined using the DOE method, and we analyzed the improvement by applying the optimal conditions to the production process. As a result, the mean value of the overall width was close to the target value, with a deviation of 0.05mm, and the processability and I-MR control were remarkably improved. Finally, the dimension pass rate of the product improved by 20%.
Keywords
6-Sigma; Injection Molding; Computer-aided Engineering; Design of Experiment; Process Capability;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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