Generative fining characterization method for part key technology surface

Abstract

The invention provides a generative fining characterization method for a part key technology surface. The method includes the first step of carrying out meshing on the surface to form a discrete point assembly and generating a new discrete point assembly with random deviation according to profile tolerance demands, the second step of carrying out interpolation on the discrete point assembly to form a spline surface in order to form an example with contour errors on an ideal surface, the third step of continuing to carry out high-density meshing on the surface of the contour errors to form a discrete point assembly and generating a new discrete point assembly with random deviation according to roughness demands, the fourth step of continuing to carrying out interpolation on the discrete point assembly to form a spline surface in order to form a fining characterization example with manufacturing errors on the surface of a part, and the fifth step of utilizing the new fining surface to replace an original surface on a part nominal model to form a new example with the manufacturing errors on an original part model. A part example set with the manufacturing errors can be reestablished repeatedly by repeating the steps, and the examples can reflect the actual engineering state of the part key technology surface on the whole. The generative fining characterization method has the advantages of being efficient, accurate and low in cost.

Description

technical field [0001] The invention relates to the technical field of digital design and manufacture of precision parts, in particular to a generative refined characterization method for key process surfaces of parts. Background technique [0002] Applying the digital design and development system, taking the 3D model of the product and its components as the object to analyze the product structure and performance, and engineering simulation verification has become a common method in contemporary product development. Traditionally, in the mechanical design and modeling of parts, ideal values ​​are generally used to define geometric features such as points, lines, and surfaces of parts, as well as their shape and position dimensions, and supplemented by tolerance annotations of key features to express their manufacturing technical requirements. Due to the influence of various factors in the actual parts manufacturing process, there will be manufacturing process errors, which ...

AI Technical Summary

Problems solved by technology

Due to the influence of various factors in the actual parts manufacturing process, there will be manufacturing process errors, which will make the surface morphology of the actual parts deviate from the ideal conditions.

The deviation of these shapes will have a great impact on the actual performance of some precision parts (such as precision optical devices, etc.), and it also makes the computer-aided engineering analysis of the structure and performance based on the nominal size model of the parts become a problem. Inaccurate, deviating from reality

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