CAD reverse modeling based on multi-sensor measurement

Abstract

Coordinate measuring machines are standard three-dimensional precision measuring equipment in the manufacturing industry. They are widely used in aerospace, automotive, shipbuilding, equipment manufacturing, and mold manufacturing. This paper addresses the application problems in the field of mechanical engineering from the perspective of information science. The process of three-dimensional information acquisition by a coordinate measuring machine is described as a hierarchical, closed-loop structure based on multi-sensor fusion. The introduction of computer vision makes the measurement flexible and intelligent, which increases the measurement speed and avoids the dispersion of measurement results caused by manual intervention. Based on the composition of flexible coordinate measurement system and the support of multi-sensor fusion, this paper studies the multi-sensor physical integration, model information acquisition and model coordinate fitting. This paper focuses on the modeling flaws in the reverse modeling method based on surface reconstruction, and analyzes the reverse modeling method based on solid reconstruction in the reverse modeling method. Parameterized editing and modification of the extracted solid features can accurately define the geometric parameters of the features and the constraint relationship between the features. In this paper, using the feature recognition and extraction function in solid reverse modeling method, a reverse modeling method for incomplete data is proposed, and the modeling process and characteristics of the method are specifically introduced and verified.