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contributor authorJiang, Zilin
contributor authorLiao, Shuheng
contributor authorSlocum, Alexander H.
contributor authorLeem, Dohyun
contributor authorEhmann, Kornel F.
contributor authorCao, Jian
date accessioned2022-05-08T09:02:37Z
date available2022-05-08T09:02:37Z
date copyright2/25/2022 12:00:00 AM
date issued2022
identifier issn2770-3495
identifier otheraoje_1_011005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284664
description abstractIncremental sheet forming (ISF) offers great flexibility in producing complex sheet parts as compared with conventional sheet forming processes where part-specific die sets are required to form a product. While there are many potential applications of ISF in various industries, toolpath planning for multifeature parts remains a leading challenge hindering the wide adoption of ISF. In this study, a criterion based on the gradient of the target surface was established for determining the appropriate feature forming sequence. Based on the analysis of the gradients of the surface, multifeature geometries were separated into two categories: “plane-referenced” and “surface-referenced.” Experimental investigations of forming a multifeature air intake as an example were carried out to demonstrate the proposed criterion and feature forming sequence. The results show that the choice of the optimal sequence depends on the type of geometry formed. The proposed criterion extends existing toolpath strategies for relatively regular geometries, where features are formed from flat or inclined bases to more complex geometries with features on a curved basis. This work will be of interest to both design and manufacturing communities.
publisherThe American Society of Mechanical Engineers (ASME)
titleToolpath Planning for Manufacturing of Complex Parts Through Incremental Sheet Forming
typeJournal Paper
journal volume1
journal titleASME Open Journal of Engineering
identifier doi10.1115/1.4053751
journal fristpage11005-1
journal lastpage11005-12
page12
treeASME Open Journal of Engineering:;2022:;volume( 001 )
contenttypeFulltext


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