Geometric computation and optimization on tolerance dimensioning

Xu, Songgang; Keyser, John

doi:10.1016/j.cad.2013.08.025

Cited by 11 publications

(8 citation statements)

References 19 publications

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“…Where accuracy is a concern the calculated tolerances can be verified using existing approaches [31], or an approach derived from [14]. Also, as has already been commented, the simplicity of this approach allows for approximate tolerance allocations to be made which can then be optimised using other approaches [32], [33], [34], [35]. (20), (24) and (33) demonstrate one of the properties of the method, which is that it allocates tolerances to dimensions based on the sensitivity of the KCCs to the KPCs.…”

Section: Discussionmentioning

confidence: 99%

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Using CAD parameter sensitivities for stack-up tolerance allocation

Din

Robinson

Armstrong

et al. 2014

Int J Interact Des Manuf

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Tolerance allocation is an important step in the design process. It is necessary to produce high quality components cost effectively. However, the process of allocating tolerances can be time consuming and difficult, especially for complex models. This work demonstrates a novel CAD based approach, where the sensitivities of product dimensions to changes in the values of the feature parameters in the CAD model are computed. These are used to automatically establish the assembly response function for the product. This information has been used to automatically allocate tolerances to individual part dimensions to achieve specified tolerances on the assembly dimensions, even for tolerance allocation in more than one direction simultaneously. It is also shown how pre-existing constraints on some of the part dimensions can be represented and how situations can be identified where the required tolerance allocation is not achievable. A methodology is also presented that uses the same information to model a component with different amounts of dimensional variation to simulate the effects of tolerance stack-up.

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Section: Discussionmentioning

confidence: 99%

“…If for this example the limits on KPCs are specified as ܻ1 = 0 ା.ଷ ା.଼ , ܻ2 = 0 ା.ଷ ା.଼ , ܻ3 = 0 ି.଼ ି.ସ , ܻ4 = 0 ି.ଶ ା. , (34) and the limits of the dimensions defining the bought in frame component are…”

Section: Allocated Tolerances In Multiple Directionsmentioning

confidence: 99%

Using CAD parameter sensitivities for stack-up tolerance allocation

Din

Robinson

Armstrong

et al. 2014

Int J Interact Des Manuf

View full text Add to dashboard Cite

show abstract

“…The assembly process defines all the information that can reflect the deviation transfer path and directly affect the formation of assembly accuracy [2][3][4]. Literature [5][6][7] studied the assembly process information model and the tolerance information model, but lacks the research on the relationship between the two.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Simulation Method Based on Assembly Process Information Mapping

Tang

Liu

2018

MATEC Web Conf.

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Assembly process information has a direct impact on product manufacturing accuracy. In order to accurately predict product accuracy, a simulation method based on assembly process information mapping was proposed. The assembly deviation information was expressed as the in-part deviation reference, feature deviation Vector direction, feature deviation vector size, deviation transmission connection form between the parts and the deviation transmission direction, and so on. The mapping between the assembly process information and the deviation transmission information was established. Then the assembly accuracy simulation algorithm including the main algorithm and assembly deviation transfer model building algorithm was established. Taking C919 internal flap assembly as an example, the effectiveness of this method had been verified.

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“…A body of research specifically related to assembly and manufacturing variability concentrates on more effective ways of representing tolerances within CAD models. Such research has produced methods to create ‘tolerance zones’ 12,13 as separate entities on the CAD model. Xu and Keyser 13 use model features and defined tolerances to optimise the model dimensions of a two-dimensional (2D) part.…”

Section: Introductionmentioning

confidence: 99%