Integrated application method of camshaft intelligent grinding process software database system based on numerical control system

Abstract

The invention discloses an integrated application method of a camshaft intelligent grinding process software database system based on a Siemens numerical control system. The integrated application method comprises the following steps: step 1, constructing a process problem definition module; step 2, constructing a process comprehensive database module; step 3, establishing an expert knowledge basesystem model based on a camshaft; step 4, constructing a standard process problem definition file; step 5, the system background technology obtains a process instance set most matched with the current process problem; step 6, obtaining a complete process scheme; step 7, generating an intermediate file for the subsequent steps and the numerical control system to call; step 8, importing the data interface into a numerical control system for calling and processing; step 9, starting an instance evaluation algorithm to evaluate and score; and step 10, updating of the decision optimization module is completed, and machining instances of similar parts are compensated in an instance library. The method can obviously shorten the decision processing time of the camshaft part, improves the processing efficiency, and gives full play to the performance of the numerical control machine tool.

Description

technical field [0001] The invention relates to an integrated application method of a camshaft intelligent grinding process software database system based on a numerical control system. Background technique [0002] The camshaft is one of the key components of the engine. The accuracy and quality stability of the camshaft directly affect the running stability, noise and emission of the engine. At present, although domestic manufacturing enterprises have introduced various advanced numerical control equipment, the machining accuracy of camshafts in the process of numerical control grinding is heavily dependent on the experience of operators. "Method" and "experience" method, which makes the processing quality of parts largely restricted by manual skills and technical level, it is difficult to ensure the consistency of camshaft processing accuracy and the improvement of processing efficiency. [0003] In addition, when processing new materials or new parts, it is necessary to...

AI Technical Summary

Problems solved by technology

[0010] 1. There are many sources of grinding processing data, the structure is complex, and the standardization and standardization of data research is lacking: the data research is highly dispersed, and the reliability and standardization are poor, resulting in insufficient reliability and versatility of the data

[0011] 2. The reasoning mechanism of the processing technology condition consultation / assistant system of the existing process software and knowledge base is too simple, the solution ability is not strong, and it is difficult to be used to actually guide production

[0013] Most of the existing processing databases, knowledge bases and process software exist independently, and have poor compatibility with the CNC system, and do not have the function of integrated processing with machine tools. There is no model library and algorithm library matching the process software, which is less practical. Difference

Most of the process software is only developed for CNC lathes and milling machines, and has fewer modules and single functions; the process software for integrated multi-functional modules for CNC grinding is still in the research and development stage

[0014] The current processing database and knowledge base lack effective process data and knowledge mining and reasoning technology, it is difficult to realize the automatic update of knowledge, and lack the self-learning ability of rule knowledge. Once the processing environment changes, the original process data and knowledge cannot be quickly Better guide decision-making on new process issues

[0015] Therefore, in order to solve the current complex and changeable camshaft grinding environment, process parameter optimization, decision-making difficulties, complex NC programs, similar parts decision-making, and low programming efficiency, etc.

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