Closed-loop quality control simulation method with simulation prediction and actual production integrated

Abstract

The invention belongs to the field of error control during part machining process, and relates to a closed-loop quality control simulation method with simulation prediction and actual production integrated. The method includes the steps of 1), performing multi-operation multi-error source analysis and description of the part machining process; 2), designing a data integration real-time collecting method and device of on-side multi-operation multi-error sources; 3), performing simulation prediction on comprehensive error on the basis of a dynamic error source coupling model; 4), predicting a quality pre-control method on the basis of dynamic error simulation prediction; 5), adjusting the out-of-control process according to quality monitoring situations and realizing closed-loop quality control. Thinking bandage of an existing method is broken through during control over the multi-operation machining process of the parts, prediction of the errors during the machining process is performed firstly, and then quality pre-control and process adjustment is performed on the basis of error prediction. Conventional afterwards quality control is converted into prior pre-control of quality by the method which is ideal in quality control.

Description

【Technical field】 [0001] The invention relates to the field of closed-loop quality control in part manufacturing process, in particular to a closed-loop quality control simulation method integrating simulation prediction and actual production. 【Background technique】 [0002] As the market's requirements for product quality are getting higher and higher, enterprises are increasingly aware of the importance of product quality control in actual production. The part processing process is affected by a variety of error sources, and there is a transfer cumulative effect between the upstream and downstream processes. In addition to the error introduced by the nodes of this process, each process must also consider the cumulative error propagated by the associated process. These error sources may cause parts For fluctuations in processing quality, it is necessary to analyze these error sources and control the occurrence of quality fluctuations from the source. At the same time, these...

AI Technical Summary

Problems solved by technology

The current quality control method is to prevent subsequent parts quality accidents through post-processing inspection and analysis. Both quality control and monitoring are post-event control and monitoring, which can only prevent subsequent quality accidents and are not consistent with the actual production status. Immediate linkages make quality monitoring and analysis inaccurate and process adjustments difficult

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