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Content available remote Towards an optimized process planning of multistage deep drawing: an overview
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Purpose: To present a concise literature review on the optimization techniques used for the single stage and multistage deep drawing process, and to identify directions for future research. A perspective on a comprehensive optimized computer aided process planning is provided for multistage deep drawing processes. This is an integrated rule base/dynamic programming/finite element approach that minimizes the total number of stages and heat treatment needed. Design/methodology/approach: Relevant research is classified according to the major process parameters and the optimization techniques used. Main features and major outcome of the applications are presented. Findings: There is a lack in the literature in providing a comprehensive approach for optimizing the multistage deep drawing process. Research limitations/implications: Directions for future research towards integrative models for optimizing the multistage deep drawing process that take into consideration economic as well as operational objectives are identified. Originality/value: This paper provides a guide for researchers in the field of deep drawing and identifies some directions for future research that can be pursued. It also gives some insights to practitioners in that field on how integrated models can improve the economics and the quality of the process planning decisions for multistage deep drawing.
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