Papers by Keyword: Specification Surface Model

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Authors: Bing Kuang, Xiong Cheng, Mei Fa Huang, Yong Hou Sun, Yu Xuan Wang
Abstract: In the new geometrical product specification (GPS), the specification surface model is a new concept in the new-generation geometrical product specification, which is the bridge to connect between nominal model and real model. To solve the problem for generate specification surface model of flatness, a generation method for generate specification surface model of flatness is presented in this paper. Based on the composing of real surface, specification surface model of flatness is classified to three factors: function requirement factor, manufacture process factor, and roughness factor. Aimed at the different characteristic of each factor, generation model for function requirement factor, manufacture process factor, and roughness factor are built respectively. Finally, a plate part is applied to illustrate the proposed generation method for specification surface model of flatness.
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Authors: Mei Fa Huang, Xiang Qian Li, Yan Ru Zhong, Bing Kuang, Qiao Yi Wang
Abstract: The new-generation standards of Geometrical Product Specifications (GPS) take the measurement and verification of manufactured parts according to the duality principle. The Specification Surface Model (SSM) is a simulation model of the actual manufactured part which plays a decisive role in the process of duality verification. The existing methods, however, have not been found to carry out much related research on the generation of SSM. This paper presents a method to generate the SSM for the characteristic of planar feature with flatness under the standards of GPS. The mathematical model of the flatness tolerance is firstly established. Secondly, in order to get the simulation points to simulate the actual characteristics of the manufactured parts, both of the functional requirements of the parts and the influences of the manufacturing process are considered. And then the simulation points under the normal distribution are generated within their tolerance zone by computer. By using the approximation method of the least-squares SSM is then obtained. Finally, an example is used to illustrate the proposed method.
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