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Geometric tolerancing: II. Conditional tolerances
IBM Journal of Research and Development, 1989Summary: We examined the representation of geometric tolerances in solid models from the perspective of certain functional requirements. We showed that assembly and material bulk requirements can be specified as virtual boundary requirements (VBRs). Here, we study the related issue of deriving equivalent alternative specifications.
Srinivasan, Vijay, Jayaraman, Rangarajan
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Geometric Tolerance Specification
2011In conventional tolerancing, the efforts of designers are mainly directed at selecting suitable values for linear tolerances on part dimensions. These are either determined by trial and error through analysis calculations or optimized according to cost functions.
ARMILLOTTA, ANTONIO, SEMERARO, QUIRICO
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Geometric formulation of orientation tolerances
Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 2002The rapid proliferation of coordinate measuring machines (CMM) triggered the need for precise and rigorous formulations of each tolerance concept. In this paper, we employ the concept of configuration space of symmetric features to define each type of datum features and orientation tolerances.
J.B. Gou, Y.X. Chu, H. Wu, Z.X. Li
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Geometric tolerance verification using superquadrics
IIE Transactions, 2001Standards for Geometric Tolerance Verification such as ANSI Y14.5 have been in practice for many years. These standards were developed for hard gage technology, and provide little guidance for how tolerances should be verified for flexible technologies such as coordinate measuring machines or laser scanners.
C. CAROLINA BĂRCENAS, PAUL M. GRIFFIN
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Statistical verification of conformance to geometric tolerance
Computer-Aided Design, 1994Abstract Modern coordinate measurement machines have provided industry with new tools for inspecting complex parts. This paper develops statistical procedures that complement these inspection methods, and it ties the conformance problem into the hypothesis testing formalism of conventional statistics.
Kurfess, Thomas R., Banks, David L.
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