2015
DOI: 10.1016/j.procir.2015.04.050
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Numerical Process Based on Measuring Data for Gap Prediction of an Assembly

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Cited by 13 publications
(7 citation statements)
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“…Manohar et al [3] proposed a shim prediction technique based on machine learning and sparse sensing for the complicated and cumbersome problem of gap filling work. Lacroix et al [4] developed a numerical method to predict the size and distribution of the gap before assembly by measuring the shape of components. Falgarone et al [5] developed ANATOLEFLEX software and used it to simulate the assembly process of nonrigid parts.…”
Section: Research Backgroundmentioning
confidence: 99%
See 1 more Smart Citation
“…Manohar et al [3] proposed a shim prediction technique based on machine learning and sparse sensing for the complicated and cumbersome problem of gap filling work. Lacroix et al [4] developed a numerical method to predict the size and distribution of the gap before assembly by measuring the shape of components. Falgarone et al [5] developed ANATOLEFLEX software and used it to simulate the assembly process of nonrigid parts.…”
Section: Research Backgroundmentioning
confidence: 99%
“…Wang et al [13] proposed an optimal posture evaluation model to control the gaps in the assembly work. As the gap reaches the minimum value and it is within the tolerance range, the component reaches the optimal posture [4]. Dong et al [14] established a parametric finite element model for the assembly problem of composite and metal structures.…”
Section: Research Backgroundmentioning
confidence: 99%
“…To evaluate the accuracy of assembly of two surfaces, one can use CAD models of both real surfaces, associate these models in CAD software to simulate elements closure, and then determine a spatial CAD model of the gap between the surfaces. Such a solution for freeform surfaces is described by Groch et al in [7], and for primitive surfaces in works [8,9]. To develop CAD models of real surfaces, the results of digitizing these surfaces are necessary.…”
Section: Introductionmentioning
confidence: 99%
“…Benichou and Anselmetti 26 used thermal deformation in a tolerance analysis model and analyzed the influence of thermal expansion on product clearance. Lacroix et al 27 combined finite element analysis with measurement data of parts to analyze assembly accuracy, which integrated measurement and calculated data. Cheng et al 28 proposed a virtual assembly method based on the triangular plane model and Laplace operator, and it had a high solving speed and efficiency.…”
Section: Introductionmentioning
confidence: 99%