2011
DOI: 10.1115/1.3593413
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Comparison of Spatial Math Models for Tolerance Analysis: Tolerance-Maps, Deviation Domain, and TTRS

Abstract: This paper presents a comparison of degree of freedom (DOF) based math models, viz., tolerance-maps, deviation domain, and TTRS, which have shown most potential for retrofitting the nuances of the ASME/ISO tolerance standards. Tolerances specify allowable uncertainty in dimensions and geometry of manufactured products. Due to these characteristics and application of tolerances, it is necessary to create a math model of tolerances in order to build a computer application to assist a designer in performing full … Show more

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Cited by 98 publications
(58 citation statements)
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“…Every control point u Usually, convex hull techniques are used for worst case tolerance analysis (Ameta et al, 2011). The stack-up domain is compared with a functional domain which represents the functional requirements.…”
Section: Convex Hull Techniquesmentioning
confidence: 99%
See 1 more Smart Citation
“…Every control point u Usually, convex hull techniques are used for worst case tolerance analysis (Ameta et al, 2011). The stack-up domain is compared with a functional domain which represents the functional requirements.…”
Section: Convex Hull Techniquesmentioning
confidence: 99%
“…A characteristic parameter is the volume |C pi,pj | := Vol(C pi,pj ) of C pi,pj . Although the domain volume is not used in the DD approach, it is used in T-Maps R (Ameta et al, 2011). However, the 'relative' clearance domain volume |C dev pi,pj |/|C nom pi,pj | in the DD approach is similar to the T-Map R approach.…”
Section: Assemblability Measurementioning
confidence: 99%
“…However, there is a growing interest in considering working conditions and operating windows in CAT (Anselmetti et al 2010). These computer models for tolerance simulation and analysis make severe simplifications about observable geometric deviations, since they are reduced to rotational and translational feature defects (Polini 2012, Ameta et al 2011. This leads to results with large ranges of uncertainty and a discrepancy between the virtual models and the observed reality.…”
Section: Introductionmentioning
confidence: 99%
“…During the past few decades, a variety of interpretation models, such as offsetting model [2][3][4], parametric model [5][6][7], vector equation model [8,9], variational surface model [10], kinematic model [11][12][13], generalized interval model [14], degree of freedom (DOF) model [15][16][17], and tolerance-map model [18][19][20], have been proposed. Benefited from the gaining popularity, in the same period, researchers have also carried out extensive reviews upon this subject, such as the reviews of Liu et al [21], Hong and Chang [22], Marziale and Polini [23][24][25], Ameta et al [26], Polini [27], and Chen et al [28].…”
Section: Introductionmentioning
confidence: 99%