新注塑模具设计系统采用多变量分析

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Past injection mold shape data and processing data are often used in injection mold design. In these cases， the
building of a database on past examples and retrieval of similar data shorten design time. The evaluation
method multivariate analysis is used to calculate the similarity level between data input by the designer and
data in the databases related to the injection mold composition parts that the designer intends to build and
past design data. In this system， the designer edits corrections， changes， etc. using a list of injection mold
composition parts and list of shape features， which have been retrieved as the most similar by calculating the
similarity level， and a 3D model of the injection mold， which can be displayed and processed by DirectX on the
web.Even users with only a slight knowledge of injection mold design can design injection molds efficiently using
this system， and at design times about 50% shorter than conventional methods.
1. Introduction
In recent years， injection molds are designed using the three-dimension solid system
1)2)
. Generally past design
data is used in most injection mold design jobs
‚3)
. However， it is difficult to search for data stored on computer
quickly. For such knowledge succession problems in the manufacturing industry， the formation process of knowl-edge is theorized or formulized as in artificial engineering
4)
and TRIZ
5)
. Based on this， attempts are being made
to construct mechanisms which support engineers. With the system introduced in this report， first parts com-posing injection molds designed in the past or processed parts were registered
6)
. Next， the data of parts compos-ing injection molds was compared. In the comparison， the degree of similarity such as types of mold parts， part
size， and number of parts， etc. were taken as parameters. Since there were multiple parameters， we prototyped
a computer-aided design system for injection molds which can retrieve data by multi-variate analysis
7)
.