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Method for quickly forecasting cooling time in injection molding of plastics

A cooling time, injection molding technology, applied in instruments, biological neural network models, calculations, etc., can solve problems such as being unable to adapt to the situation

Inactive Publication Date: 2010-10-06
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
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Problems solved by technology

With the rapid development of the plastics industry, the traditional manual design and manufacture of plastic injection molds can no longer adapt to the current situation

Method used

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  • Method for quickly forecasting cooling time in injection molding of plastics
  • Method for quickly forecasting cooling time in injection molding of plastics
  • Method for quickly forecasting cooling time in injection molding of plastics

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the drawings and specific embodiments.

[0028] This paper is based on a flat part to study the rapid prediction method of cooling time in plastic injection molding.

[0029] (1) Determine the main influencing factor of the cooling time, that is, the temperature conductivity coefficient of the mold material α 1 、The thermal conductivity coefficient of plastic materials α 2 , Temperature ratio (Ti-Tc) / (Te-Tc), (where Ti is the injection temperature, Tc is the temperature of the cooling water, Te is the mold opening temperature), the thickness h of the product and the area S of the cooling system, and give each Three different levels of impact factors are set. The length of the selected product is 120mm, the width is 30mm, and the thickness is respectively taken as 3 levels of 2mm, 5mm, and 8mm. Other influencing factors and their levels are shown in Table 1. The size of the mold is 180mm×50mm×50mm.

[0...

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Abstract

The invention discloses a method for quickly forecasting cooling time in injection molding of plastics, which is used for forecasting the required cooling time through known parameters of plastics and molds and the like. The concrete implementation scheme of the method comprises the following steps: (1) analyzing primary influence factors of the cooling time; (2) designing a training sample of a neural network; (3) designing and training a BP neural network; (4) establishing a quickly forecasting model of the cooling time; and (5) verifying the superiority of the model through embodiments. The invention can be used for quickly and accurately forecasting the cooling time in injection molding of plastics, and has important functions of shortening the designing and manufacturing cycle of molds and improving the manufacturing accuracy and performance of molds.

Description

Technical field [0001] The invention relates to the field of plastic injection molding, in particular to a method for quickly predicting cooling time in plastic injection molding. Background technique [0002] Under the conditions of market economy, product quality and cost have become the lifeline for the survival and development of enterprises. Practice has proved that injection molding CAE technology plays a key role in accelerating new product development, improving product quality, and reducing costs, and is a powerful means to support enterprises to establish competitive advantages. With the rapid development of the plastic industry, the traditional manual design and manufacture of plastic injection molds can no longer adapt to the current situation. Practice in the past 20 years has shown that one of the correct ways to shorten the mold design and manufacturing cycle and improve the precision and performance of plastic manufacturing is to use CAD / CAE / CAM technology. Sinc...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/02
Inventor 李德群崔树标赵朋周华民李阳黄志高张云刘畅
Owner HUAZHONG UNIV OF SCI & TECH
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