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

[1] Aleksendric D, 2015, SOFT COMPUTING DESIG, P292
[2] Mechanical characterization of low-pressure cold-sprayed metal coatings on aluminium
Astarita, A.
Durante, M.
Langella, A.
Montuori, M.
Squillace, A.
[J]. SURFACE AND INTERFACE ANALYSIS, 2013, 45 (10) : 1530 - 1535
[3] Elevation of tribological properties of alloy Ti-6% Al-4% V upon formation of a rutile layer on the surface
Astarita, A.
Durante, M.
Langella, A.
Squillace, A.
[J]. METAL SCIENCE AND HEAT TREATMENT, 2013, 54 (11-12) : 662 - 666
[4] ASTM, 2013, E2070 ASTM INT
[5] THERMO-CHEMICAL AND RHEOLOGICAL FINITE ELEMENT ANALYSIS OF THE CURE PROCESS OF THICK CARBON-EPOXY COMPOSITE LAMINATES
Carlone, P.
Palazzo, G. S.
[J]. INTERNATIONAL JOURNAL OF MATERIAL FORMING, 2009, 2 : 137 - 140
[6] Carlone P., 2013, OPEN MECH ENG J, V7, P18, DOI DOI 10.2174/1874155X01307010018
[7] Experimental Analysis of the Influence of Process Parameters on Residual Stress in AA2024-T3 Friction Stir Welds
Carlone, Pierpaolo
Palazzo, Gaetano S.
[J]. MATERIAL FORMING - ESAFORM 2012, PTS 1 & 2, 2012, 504-506 : 753 - 758
[8] Dreyfus G., 2005, Neural networks: Methodology and applications, P515
[9] Gurney K., 2009, An Introduction to Neural Networks, P148
[10] Hassoun M.H., 1995, Fundamentals of Artificial Neural Networks, P511

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