Artificial neural network modeling of mechanical behaviors of zea fiber-polyester composites

被引:24
作者
Balaji, N. S. [1 ]
Jayabal, S. [1 ]
机构
[1] AC Coll Engn & Technol, Dept Mech Engn, Karaikkudi, Tamil Nadu, India
关键词
Zea fiber; polymer composites; molding pressure; mechanical behaviors; artificial neural network; PREDICTION;
D O I
10.1177/0954408914539939
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The tensile, flexural, and impact behaviors of zea fiber-reinforced polyester composites were evaluated. The different proportion of fiber length, fiber content in weight percentage, and molding pressure was used as process parameters in the fabrication of zea-polyester composites. The parameters and their levels were selected based on full factorial design as per the design of experiments. The composites were fabricated and tested as per ASTM standards. An artificial neural network algorithm was developed to predict the mechanical behaviors over the specified range of conditions, and the average absolute percentage of error of less than 4% was observed for tensile, flexural, and impact models.
引用
收藏
页码:45 / 55
页数:11
相关论文
共 23 条
[1]  
Ashokkumar M., 2011, INDIAN J MAT SCI, V1, P6
[2]  
Ashokkumar M, 2012, INT J MACROMOL SCI, V2, P1
[3]  
Ashokkumar M., 2010, J COMPOS MATER, V46, P3195
[4]  
Ashokkumar M, 2011, INT J FIBER TEXT RES, V1, P22
[5]   Characteristics of wood-fiber plastic composites made of recycled materials [J].
Ashori, Alireza ;
Nourbakhsh, Amir .
WASTE MANAGEMENT, 2009, 29 (04) :1291-1295
[6]   Prediction of effect of volume fraction, compact pressure and milling time on properties of Al-Al2O3 MMCs using neural networks [J].
Canakci, A. ;
Varol, T. ;
Ozsahin, S. .
METALS AND MATERIALS INTERNATIONAL, 2013, 19 (03) :519-526
[7]   Modeling the influence of a process control agent on the properties of metal matrix composite powders using artificial neural networks [J].
Canakci, Aykut ;
Ozsahin, Sukru ;
Varol, Temel .
POWDER TECHNOLOGY, 2012, 228 :26-35
[8]   Dynamic mechanical behavior of short coir fiber reinforced natural rubber composites [J].
Geethamma, VG ;
Kalaprasad, G ;
Groeninckx, G ;
Thomas, S .
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2005, 36 (11) :1499-1506
[9]   Artificial Neural Network Modeling of Mechanical Properties of Calcium Carbonate Impregnated Coir-Polyester Composites [J].
Jayabal, S. ;
Rajamuneeswaran, S. ;
Ramprasath, R. ;
Balaji, N. S. .
TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, 2013, 66 (03) :247-255
[10]   Influence of fiber parameters on tensile, flexural, and impact properties of nonwoven coir-polyester composites [J].
Jayabal, S. ;
Natarajan, U. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 54 (5-8) :639-648