Manufacturing Feature Recognition Method for the Generation of Multiple Process Plans

Ando, Kenji; Muljadi, Hendry; Ogawa, Masahiro

doi:10.1299/jsmec.48.269

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…According to statistics, the ratio of machining time to programming time is 10 to 1. More attention has been paid to research topics such as integrated machining process knowledge based on features and NC programming based on feature recognition [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Feature recognition technology for aircraft structural parts based on a holistic attribute adjacency graph

Ding

Mou

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part B:

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A feature-recognition method based on an holistic attribute adjacency graph is put forward to solve the problems that complex features of aircraft structural parts find difficult to recognize by traditional feature-recognition methods. Extending the attribute's information and adding node types based on a traditional attribute adjacency graph, the method not only represents freeform surfaces and edge features, but also describes geometric information of topology elements precisely and completely. Combining feature recognition based on a graph with that based on hint, the method can deal with feature recognition of freeform surfaces, edge features, intersecting features, and convex features by a uniform algorithm, which virtually performs hint search, hint extension, and feature combination with hints of seed faces. According to the research, an original system has been used in a numerically controlled machining process of integer frame parts in certain large aviation enterprises.

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Section: Introductionmentioning

confidence: 99%

Feature recognition technology for aircraft structural parts based on a holistic attribute adjacency graph

Ding

Mou

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…;Han et al (2001);McCormack and Ibrahim (2002);Patil and Pande (2002);Ando et al (2005);Woo et al . (1992);Dong et al (1992);Liou and Suen (1992);Dong and Parsaei (1994);Cherngm et al (1998);Khoshnevis et al (1999);Liu (2000);Yang et al (2001);Xiang et al (2002);Patil and Pande (2002);Amaitik and Kilic (2006);Chen et al (2006b);Wang et al (2006a) …”

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confidence: 99%

Geometrical tolerance transfer for sheet metal forming processes

Wang¹

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As an essential link between sheet metal design and manufacturing, process planning generates a sequenced set of instructions to manufacture parts. However, according to a literature survey in this thesis, the tolerance transfer issue in sheet metal forming are insufficiently addressed: machining errors and their causes are not presented comprehensively as the sources of final error; only size dimensional tolerances are discussed in detail; computer aided tolerancing for parts formed by a combination of operations such as bending, punching, and blanking, is seldom studied; statistical tolerancing are utilized only for sheet metal assembly issues or size dimensional tolerances, not geometric tolerances. Therefore, the presented research systematically explores and proposes three dimensional geometrical tolerance transfer approaches for sheet metal part forming. The here proposed models are suitable for worse case or statistical analysis (using the Monte-Carlo methods). First, an integrated CAD/CAPP system based on feature evolvement, associative features, and data association mechanism, is outlined. Then, a mathematical model of geometric tolerance transfer is proposed. Finally, a machining error-correlated cost model is presented and applied to tolerance synthesis for a parallelism tolerance. Angular errors in the estimation of spring back are demonstrated to affect final errors considerably. The proposed tolerance transfer method is applied to parts formed by bending (parallel and non-parallel) and punching operations jointly. It can, subject to minor modifications, be easily applied to all bending-like and cutting operations and extended to other sheet metal forming operations. Monte-Carlo simulations show that accumulated tolerances may not closely follow a normal distribution. The research work is a solid basis for future work in this area. i Firstly I would like to express my heartfelt gratitude especially to Dr. Georg Lothar Thimm and Dr. Ma Yongsheng, for their kind guidance and supervision during the planning and writing of this thesis. Without their help this report could not have been completed. Then I want to thank Prof Khoo Li Pheng, Associate Porf Seet Gim Lee, Associate Professor Chen Chun-Hsien, and Assistant Prof Au Chi Kit for their help and good suggestions for my research project. I would also like to extend my appreciation to my friends, Miss Xu, Cheng Gang, Tang Shaohui, technical staff of ADaM lab, and all other friends for their help. At last, I want to thank my dear parents and my young sister, for unconditionally providing their love, support, and encouragement.

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Review: geometric and dimensional tolerance modeling for sheet metal forming and integration with CAPP

Wang

Thimm

2010

Int J Adv Manuf Technol

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Manufacturing Feature Recognition Method for the Generation of Multiple Process Plans

Cited by 4 publications

References 7 publications

Feature recognition technology for aircraft structural parts based on a holistic attribute adjacency graph

Feature recognition technology for aircraft structural parts based on a holistic attribute adjacency graph

Geometrical tolerance transfer for sheet metal forming processes

Review: geometric and dimensional tolerance modeling for sheet metal forming and integration with CAPP

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