The most important task for 3D assembly tolerance analysis is to check how the tolerances affect the quality or functionality of a product when the parts are assembled together. This paper presents the way 3D statistical tolerance analyses are implemented by integrating the unified Jacobian-Torsor model and Monte Carlo simulation techniques. To perform 3D statistical tolerance analysis, a unified Jacobian-Torsor model is established based on the effects that small displacements of a series of functional elements (FE) have on functional requirements (FR) of a product. The Monte Carlo simulation is then used to iteratively evaluate the model using sets of random numbers as inputs so as to make this deterministic model change into a stochastic model. Thus the statistical limits for the FR in the direction of analysis can be obtained after a large number of iterations and the goal of 3D statistical tolerance analysis is achieved. The effectiveness of the proposed approach has been validated by using a numerical example of piston aeroengine assembly. Although the example used is for a crank-connecting rod mechanism of piston engine, the approach presented is capable of handling complex statistical tolerance analysis problems in robots and intelligent equipments, automobile manufacturing and many other fields.


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    Titel :

    3D statistical tolerance analysis technique and the application in piston aeroengine assembly


    Beteiligte:
    Peng, Heping (Autor:in) / Wang, Bin (Autor:in)


    Erscheinungsdatum :

    2017-07-01


    Format / Umfang :

    635020 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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