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Robust Design and Tolerance Design Method for Injection Molding Process Based on Gaussian Process

A Gaussian process, robust design technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of high design cycle and cost, long calculation time, etc., to reduce design cycle and calculation amount, reduce cost, and improve production The effect of the application foreground

Active Publication Date: 2017-10-10
GUANGXI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a Gaussian process combined with an optimization algorithm for injection molding process control robust design and tolerance design method, by virtue of Gaussian canonical correlation analysis to screen out the main parameters, and further design on this basis, to solve the traditional optimization method calculation Too long time, design cycle and high cost

Method used

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  • Robust Design and Tolerance Design Method for Injection Molding Process Based on Gaussian Process
  • Robust Design and Tolerance Design Method for Injection Molding Process Based on Gaussian Process
  • Robust Design and Tolerance Design Method for Injection Molding Process Based on Gaussian Process

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Embodiment 1

[0056] A Numerical Example for Finding a Robust Solution

[0057] A Gaussian process-based robust design and tolerance design method, including experimental design method sampling, correlation analysis based on Gaussian process, robust design and tolerance design, specifically including the following steps:

[0058] Step 1. Find the problem according to the value given by the user. Its mathematical description is as in formula (12). Take 10 initial training samples through the Latin hypercube sampling method and bring them into the analytical formula of formula (12) to obtain the response value, and Combined with its sample set to form a training data set;

[0059]

[0060] In the formula, it is assumed that the standard deviation of the variables is [0.5,0.5] and obeys a normal distribution.

[0061] Step 2, for the numerical example in step 1, after adding the fluctuation amount to the objective function and constraints, the obtained optimization model is as formula (13)...

Embodiment 2

[0068] Application of Robust Design and Tolerance Design Method for Injection Molding Process Control Based on Gaussian Process in Injection Molding

[0069] The robust design and tolerance design method based on Gaussian process is used to optimize an automobile glass run channel. Its two-dimensional modeling diagram and cross-sectional view are as follows Figure 2-Figure 6 As shown, the process of robust design and tolerance design of injection molding process parameters is as follows Figure 7 shown, including the following steps:

[0070] Step 1. According to the process documents formulated by the customer, select the molding process parameters to be optimized and determine their value range: melt temperature T w =190℃~230℃; mold temperature T m =40℃~75℃; injection time t i =2s~4s; Holding time t p =5s~25s; injection pressure P i =60Mpa~190Mpa; holding pressure P p =60Mpa~160Mpa. The experimental design was carried out through the enhanced translational propagatio...

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Abstract

The invention relates to a Gaussian process based injection molding forming process robust design and tolerance design method. The Gaussian process based injection molding forming process robust design and tolerance design method comprises obtaining the correlation of process parameters and quality objectives by a Gaussian process based self-adaptive canonical correlation analysis method and classify the parameters into main parameters and secondary parameters according to the sizes of degrees of the correlation; establishing a robust optimization model of the main parameters, adding the fluctuation quantity into an objective function and constraint conditions and obtaining a robust process parameter combination through simultaneous optimization of the two targets of the mean and variance to reduce the complexity of calculation of a multi-parameter model reasonably; performing analysis on the relation of the process parameter fluctuation tolerance range and the cost, establishing a mathematical expectation model of a quality overall loss and setting a reasonable tolerance range for every process parameter. According to the Gaussian process based injection molding forming process robust design and tolerance design method, the influence of human experience and trial and error experiment is greatly reduced in the design process, the design cycle is short, the qualified rate of products is high, the system cost is low, an intelligent control project is implemented conveniently, and the Gaussian process based injection molding forming process robust design and tolerance design method can be widely applied to the forming process of various materials.

Description

technical field [0001] The invention relates to a robust design and tolerance design method of injection molding process, in particular to a Gaussian process canonical correlation analysis model combined with an optimization algorithm for injection molding process control robust design and tolerance design method, belonging to the field of injection molding technology engineering . Background technique [0002] With the continuous progress and development of social science and technology, the market's requirements for products are increasingly tending to high precision, high pass rate, and low cost, and the production technology is gradually transforming to intelligent. In the field of injection molding technology engineering, computer simulation technology has been widely used in the prediction of molding quality and the acquisition of optimal process parameter combinations. However, in the actual manufacturing process, the quality of the product is also affected by many n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 夏薇潘冰廖小平曾建民
Owner GUANGXI UNIV
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