Density Distribution Control Algorithms of the Injection SemiFinish Products Based on Multisource Data Fusion

CHANG Zhangfang1,BAN Xiaojuan1，LIU Xu1，ZHOU Y

doi:10.3969/j.issn.1007130X.2010.

Computer Engineering & Science >

2010 , Vol. 32 >Issue 9: 142 - 144

DOI: https://doi.org/10.3969/j.issn.1007130X.2010.

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Density Distribution Control Algorithms of the Injection SemiFinish Products Based on Multisource Data Fusion

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(1.School of Information Engineering,University of Science and Technology Beijing,Beijing 100083;2.School of Materials Science and Engineering,University of Science and Technology Beijing, Beijing 100083,China)

Received date: 2010-03-18

Revised date: 2010-06-20

Online published: 2010-09-02

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Abstract

The combination of automation and intellectualization will be an important development direction of the future powder injection forming technique.Data mining technology is studied based on the sliding window of the injection mold temperature.The amendment and pretreatment of density distribution is done for the slice based on the CT slice of the injection semifinish products. Multisource data is fused using a data fusion approach based on neural networks.The effective control of the injection semifinished product density distribution is realized.

Key words： sensor network;injection forming;sliding window;data fusion;neural network

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CHANG Zhangfang1,BAN Xiaojuan1，LIU Xu1，ZHOU Y . Density Distribution Control Algorithms of the Injection SemiFinish Products Based on Multisource Data Fusion[J]. Computer Engineering & Science, 2010 , 32(9) : 142 -144 . DOI: 10.3969/j.issn.1007130X.2010.

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