1996
DOI: 10.1007/bf01607864
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Functional tolerancing: A design for manufacturing methodology

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Cited by 33 publications
(18 citation statements)
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“…In a study of scuffing and seizing in a fuel injector (Ludema and Bai 1996), the geometry variation errors of roundness and straightness were found to be major factors to the scuffing and seizing. Srinivasan (1994) and Srinivasan et al (1996) proposed the fractal-based tolerance parameters for waviness variation control of mechanical products. Marguet and Mathieu (1997) found the aircraft 36 X. D. Zhang et al assembly function closely relied on the geometric tolerances.…”
Section: Functional Tolerancing With the Proposed Tolerancing Schemementioning
confidence: 99%
“…In a study of scuffing and seizing in a fuel injector (Ludema and Bai 1996), the geometry variation errors of roundness and straightness were found to be major factors to the scuffing and seizing. Srinivasan (1994) and Srinivasan et al (1996) proposed the fractal-based tolerance parameters for waviness variation control of mechanical products. Marguet and Mathieu (1997) found the aircraft 36 X. D. Zhang et al assembly function closely relied on the geometric tolerances.…”
Section: Functional Tolerancing With the Proposed Tolerancing Schemementioning
confidence: 99%
“…Data models are mainly used to ensure the traceability and consistency of the product development process. The benefit of this becomes clear in the final tolerance design, where the requirements defined at the beginning of product development form the basis for a function-oriented tolerancing (Srinivasan et al 1996). Thus, the basic idea of the proposed data models is to break down the functional requirements to specific design parameters (Suh 1998;Mathieu and Marguet 2001).…”
Section: Data Managementmentioning
confidence: 99%
“…This solution selects only quality controlled process plan, the cost of products becomes expensive. -Third tolerance allocation methods are based on single or multiobjective optimization of manufacturing-related functions [181,283] such as the cost of manufacturing [244,266,278], quality loss function [196], manufacturing capability [295] or any combination of these functions.…”
Section: Tolerance Allocation and Optimizationmentioning
confidence: 99%