Technique optimizing system for enhancing manufacture quality stability of automobile covering pieces

Abstract

The invention relates to a process optimization system for improving the stability of the manufacturing quality of automobile coverings which is used in the technical field of automobile manufacturing, wherein, a GUI model is a graphic user interface and used for realizing the interaction between users and other models; a variable attribute model saves attribute of controllable process, attributeof noise factor and attribute of quality inspection indicators which are input by the users; a variable filtering model filters the controllable process and the noise factor that impose most significant impact on the quality inspection indicators; a response surface modeling model builds a response surface model among the controllable process, the noise factor and the quality inspection indicator; a noise factor random attribute model saves noise factor random attribute input by users; a random response surface modeling model builds a random response surface model between the average value and standard balance of the controllable process and the quality inspection indicators; and a process optimization model adopts multiple-target optimization algorithm for processing so as to obtain optimum process conditions. The process optimization system can realize the improvement of the stability of the manufacturing quality of the automobile coverings and the reduction of the defective index.

Description

technical field [0001] The invention relates to a process optimization system used in the technical field of automobile manufacturing, in particular to a process optimization system for improving the stability of the manufacturing quality of automobile cover parts. Background technique [0002] For more and more complex automobile panel manufacturing problems, process optimization technology gradually replaces traditional direct search and trial and error methods to improve optimization processing efficiency and provide optimal solutions for product manufacturing process design. It has been widely used in the automotive panel manufacturing industry. a wide range of applications. However, in the actual manufacturing process of automobile panels, process parameters such as blank holder force and lubrication will fluctuate; with the passage of time, the surface of the mold will wear and the geometric dimensions will change; There will also be differences in batches, sheet thic...

AI Technical Summary

Problems solved by technology

Its shortcomings are: the use of neural networks to establish a response surface model relies heavily on professional experience, is prone to numerical problems, and lacks operability for ordinary engineers and technicians; there is a certain error between the reliability-based optimization results and the Monte Carlo method results. The correctness and effectiveness of the method lacks validation

Its shortcomings are: the mean value and variance of quality inspection indicators are approximated by Taylor series expansion method, and the processing accuracy is difficult to guarantee; it is not suitable for analyzing the forming problem of automobile panels with complex shapes and multiple defects

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