NDLI: Reliability-based robust process optimization of multi-point dieless forming for product defect reduction

Content Provider	Springer Nature Link
Author	Abebe, Misganaw Park, Ji Woo Kang, Beom Soo
Copyright Year	2016
Abstract	The product quality of multi-point dieless forming (MDF) is dependent on the process parameters. Moreover, variations in the friction and material properties may substantially worsen the final product quality. In this paper, a technique for compensating for MDF product defects by minimizing the variations in the noise parameters is proposed. This can be attained by a reliability-based robust optimization (RRO) technique to obtain the optimal process settings of the controllable parameters. Initially, two MDF finite-element (FE) simulations of an AA3003-H14 aluminum-alloy saddle shape exhibited a substantial amount of dimpling and wrinkling along with shape errors. FE analyses were consequently carried out using ABAQUS commercial software to obtain the correlation between the control process settings and the variation in the noise with regard to product defects. The best prediction models were chosen from a family of metamodels to swap the computationally expensive FE simulation. Further, a genetic algorithm (GA) was applied to determine the optimal process settings of the control parameters. A Monte Carlo analysis (MCA) was executed to determine how the variation in the noise parameter affects the final product quality. Finally, the RRO FE simulation and experimental results showed that the amendment of the control parameters in the final forming process leads to a considerably better-quality product.
Starting Page	1223
Ending Page	1234
Page Count	12
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	89
Issue Number	1-4
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2016-07-22
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-point dieless forming Reliability-based robust optimization Wrinkling Dimpling Shape error Variation Industrial and Production Engineering Media Management Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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