Hard and Soft Computing Models of Composite Curing Process Looking Toward Monitoring and Control

被引：8

作者：

Rubino, F. ^{[1
]}

Carlone, P. ^{[1
]}

Aleksendric, D. ^{[2
]}

Cirovic, V. ^{[2
]}

Sorrentino, L. ^{[3
]}

Bellini, C. ^{[3
]}

机构：

[1] Univ Salerno, Dept Ind Engn, Salerno, Italy

[2] Univ Belgrade, Fac Mech Engn, Belgrade, Serbia

[3] Univ Cassino & Southern Lazio, Dept Civil & Mech Engn, Cassino, Province Of Fro, Italy

来源：

PROCEEDINGS OF THE 19TH INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING (ESAFORM 2016) | 2016年 / 1769卷

关键词：

CURE PROCESS; TEMPERATURE;

D O I：

10.1063/1.4963438

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The curing process of thermosetting resins plays a key role on the final quality of the composite material components. Soft computing techniques proved to be an efficient method to control and optimize the curing process, replacing the conventional experimental and numerical approaches. In this paper artificial neural network (ANN) and fuzzy logic control (FLC) were implemented together to predict and control the temperature and degree of cure profile during the autoclave curing process. The obtained outcomes proved the capability of ANNs and FLC with respect to the hard computing methods.

引用

页数：6

共 19 条

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