System and method for part process feature detection in three-coordinate numerical control machining

Abstract

The invention relates to a system and a method used for detecting part machining features in 3-axis numerical control machining in the technical field of computer integrated manufacturing. The system comprises a feature detection system integration platform, a tool information renewal module, a part information input module, a machined surface determination module, a plane machining method generating method renewal module, a plane machining method generating module, a plane machining method feasibility detection module, a characteristic factor extracting module, a characteristic factor optimal selection module, a machining feature output module, a tool information base and a plane machining method generating method base. The invention can achieve feature detection of complex parts in the environment of 3-axis numerical control machining; the machining features are clustered by surfaces, have no fixed topological structure, are independent of a predetermined feature pattern base, and can explain complex features and feature interactions; and the feature detection fully considers the actual machining resources in the machining environment, so that the detected machining features certainly has machinability.

Description

technical field [0001] The invention relates to a system and method in the technical field of computer integrated manufacturing, in particular to a system and method for detecting processing features of parts in three-coordinate numerical control machining. Background technique [0002] The function of processing feature detection is to extract geometric shape information with specific engineering significance from the design model of the part, and it is to realize the integration of computer-aided design (CAD) / computer-aided process planning (CAPP) / computer-aided manufacturing (CAM) and intelligentization of CAPP. Effective ways and key technologies for such goals. For a long time, people have been working hard to improve the practicability, intelligence and automation of the processing feature detection system. Especially in recent years, with the acceleration of product replacement, the shape and structure of products have become increasingly complex, and there are highe...

AI Technical Summary

Problems solved by technology

But there are also three outstanding problems: 1) This type of system needs to perform a large number of intersection operations during the detection process, the detection efficiency is low, and most methods cannot handle parts containing curved surfaces

2) When dealing with complex parts, there are often tens of thousands of feature interpretations, which makes it almost impossible for the subsequent CAPP system to handle so many feature interpretations

3) This type of system does not consider the process resources contained in the processing environment in the process of feature detection, so that the generated features may not have actual processing meaning

The system has the following deficiencies: [1] Since the core of feature detection is to match the minimum conditional subgraph of features with the predefined features in the feature pattern library, the system cannot give Correct detection results require manual detection, so that the system cannot fully meet the industry's requirements for the intelligent level of the feature detection system

[2] The system cannot make a reasonable explanation for any intersecting features, and the detection of complex intersecting features often requires human-computer interaction to complete, which makes the automation level of the system lacking

[3] The system does not fully consider the processing resources in the processing environment during the detection process, which easily leads to the problem that the feature detection results are separated from the processing resources, and the generated processing features may not be processed in a certain processing environment

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