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2020
DOI: 10.1007/s00170-020-06137-5
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A computer-aided tolerance specification method based on multiple attributes decision-making

Abstract: In the mechanical product design, tolerance specification is a crucial process to select tolerance types to control the geometrical variation of the features on a workpiece. Tolerance specification is a kind of decision-making process which needs to consider many influential factors of the manufacturing cost and quality requirement of a workpiece. In this context, those factors are classified into two categories, that of static factors from the rules and standards, and that of dynamic factors based on the manu… Show more

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Cited by 16 publications
(8 citation statements)
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“…Computer-aided tolerance design is the key content of the digitalisation of the intelligent manufacturing of products [1,2], in which the realisation of tolerance specification automatic generation (TSAG) is one of the key links. With the efforts of many scholars, the research on achieving the computer-aided design of tolerance specification has also made important progress: Zhang et al [3] constructed a TSAG algorithm based on a multi-colour set method; Zhang et al [4] and Qie et al [5] developed a TSAG method based on a hierarchical tolerance information representation model; and Luo et al [6] and Johannesson et al [7] proposed the adjacency matrix method to represent constraint relations of assemblies.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Computer-aided tolerance design is the key content of the digitalisation of the intelligent manufacturing of products [1,2], in which the realisation of tolerance specification automatic generation (TSAG) is one of the key links. With the efforts of many scholars, the research on achieving the computer-aided design of tolerance specification has also made important progress: Zhang et al [3] constructed a TSAG algorithm based on a multi-colour set method; Zhang et al [4] and Qie et al [5] developed a TSAG method based on a hierarchical tolerance information representation model; and Luo et al [6] and Johannesson et al [7] proposed the adjacency matrix method to represent constraint relations of assemblies.…”
Section: Introductionmentioning
confidence: 99%
“…One is to select appropriate tolerance type screening methods. The second is to choose an appropriate product data representation language to meet the requirements of the tolerance information representation in computers and exchange between heterogeneous CAD systems [2,11,12].…”
Section: Introductionmentioning
confidence: 99%
“…The most characteristic aspect is that it can generate the power code. It is based on the above functional integration that makes the numerical control programming function of CAXA suitable for the operation of complex spatial geometry structure [4][5] . Over the years, many experts and scholars have carried out in-depth studies on CAD and manufacturing, and the state and education management departments have also vigorously promoted it.…”
Section: Introductionmentioning
confidence: 99%
“…The number of recommended assembly tolerance types generated can be further reduced on the basis of this; Start from the basic spatial relationship between geometric elements, the description logic of geometric tolerance, the judgment algorithm and the automatic generation algorithm of the tolerance type were proposed by Qin et al [9]; To realize the automatic generation of the geometric tolerance area in the CAD system, a method based on description logic was proposed by the research group in paper 10 and paper 11; Zhong et al [12,13] used description logic to construct a meta-model of assembly tolerance items, and automatically generated tolerance items based on the ontology. This method reduces the uncertainty of geometric tolerance items through the rules of description logic; Zhao et al [14] proposed a novel method for computer-aided tolerance specification to evaluate static factors and dynamic factors. Those factors are assessed by the rule-based algorithm and axiomatic design algorithm.…”
Section: Introductionmentioning
confidence: 99%