| With the development of intelligent manufacturing,the integration of processing and detection has become an important means to improve product quality and shorten production cycle.MBD technology,which forms a unified digital definition of products,breaks through the barrier of inconsistent information in design,processing and detection in the process of product manufacturing.It greatly helps the development of integrated design,processing and detection,and promotes the automation and intelligence of the whole process of product production.The integrated technology of design,processing and detection based on MBD focusing the common characteristics of shaft parts family is studied in this paper.The main research is as follows:Firstly,the geometric information and non-geometric information are decomposed for the shaft parts family,and the control requirements of machining quality for shaft parts are analyzed.Based on the existing principles of machining process planning and detection process planning,an integrated strategy of design,machining and detection for the common features of shaft part families is proposed.After that,the 3D model of common features suitable for the variant design of part families as well as their variant association rules are constructed.Furthermore,the integrated process planning mechanism of machining and inspection based on common features is designed.Secondly,for the common characteristics of shaft parts,the planning strategy of the association between the design and machining process is proposed.The association transformation mechanism for design information and machining information based on template variant is established,which can realize the feature variant for shafts from 2 to 5stepped.The association rules of design information with blank model and process model are formulated,and the reverse generation of blank model and forward generation of machining process model are realized by reasoning,and the machining process arrangement module is established.Taking a step shaft part as an example,the part variant design,machining process planning and machining process arrangement verification are carried out.The association rules of design information with blank model and process model are designed.The reverse reasoning of the generating of blank model and forward reasoning for generating machining process model are realized,and the machining process arrangement module is established.Taking a stepped shaft as an example,the variant design,machining process planning and machining process arrangement are verified.Thirdly,aiming at the common features of shafts,the expression of MBD detection process information is discussed,and the visual detection process planning strategy for common features is proposed.Taking the feature points and lines as the recognition marks,the recognition module of the relationship between part features and visual field is established,which can realize the inclusive judgment,pose recognition and station alignment of parts.The visual detection device can be established according to the sizes and accuracy requirements of parts.Taking the shaft diameter measurement as an example,an adaptive detection strategy is designed,and the program of the visual detection process planning for the common features is realized.Considering the influence of many factors such as exposure time,clamping,detection operator parameters and sampling station on shaft diameter detection,taking semi-finished products and finished parts as experimental objects,the correlation analysis experiment of feature-visual detection behavior is carried out.The experimental results show that the detection accuracy of finished parts can reach ±1.5 μm after error analysis,parameter optimization and behavior optimization,as well as the fluctuation of measurement error can be controlled within 4.12μm.Finally,based on Visual Studio,the software of shaft parts design-machining-detection system is developed,and the visualization of design,machining and detection results is realized.Taking a stepped shaft part as an example,the design,processing and testing stages are displayed to verify the automation of the operation process. |