Multi-objectives Statistical Optimization and micro-mechanics Mathematical Modelling of Musa Acuminate fibre-vinyl Ester Composite Reinforcement

被引:5
作者
Esonye, Chizoo [1 ]
Ogah, Anyigor Ogah [2 ]
Ikezue, Edwin Nwabufor [2 ]
Ibeabuchi, Victor Tochukwu [3 ]
机构
[1] Alex Ekwueme Fed Univ, Chem Engn Dept, PMB 1010, Ndufualike, Abakaliki, Nigeria
[2] Chukwuemeka Odumegwu Ojukwu Univ, Chem Engn Dept, PMB 02, Uli, Nigeria
[3] Alex Ekwueme Fed Univ, Civil Engn Dept, PMB 1010, Ndufualike, Abakaliki, Nigeria
关键词
Response surface methodology; Optimization; Modeling; Vinyl ester composite; Banana fiber; MECHANICAL-PROPERTIES; POLYMER COMPOSITES; GENETIC ALGORITHM;
D O I
10.1007/s12221-022-0280-6
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
Natural fibers are fast emerging as most widely applied reinforcing material in composites and statistical optimization and modeling provides deep insight and clear understanding of the key influencing factors, required optimum conditions and their interactions. The application of response surface methodology (RSM) to develop the optimum mechanical properties of musa acuminate (banana) fibre reinforced-vinyl-ester composite using box-behnken design (BBD) of experiment interfaced with desirability function (DF) analysis on second order polynomial model respectively are presented. The banana fiber (BF) was extracted using wet retting method (WRM) while the reinforced composite was produced using hand lay-up method. The standard mechanical properties were determined using ASTM standard methods for plastics. Curing time, fiber length and fiber content were studied as input process parameters while six mechanical properties: Creep (C), tensile strength (TS), flexural strength (FS), toughness (T), Young modulus (YM) and ultimate elongation (UE) which determine the efficiency of composites were studied as response variables. The optimum responses based on the RSM optimization are 85.64 MPa, 73.406 GPa, 24.466 MPa, 85.56%, 83.37 MPa and 90.62 s(-1) for tensile strength, young modulus, toughness, ultimate elongation, flexural strength and creep respectively. Micro-mechanic models show that banana fiber increased the TS, YM, T, UE, FS and C by 79 %, 276 %, 311 % and 60 % respectively when compared with blank vinyl ester (BVE). The fiber length was found to be the most significant factors, except for ultimate elongation that has curing time as the most significant factor. RSM proved to be efficient methods for empirical modeling and optimization and has excellent means of identifying patterns in data and effectively predicting mechanical properties of musa acuminate Fiberre inforced-vinyl -ester composite based on investigating inputs.
引用
收藏
页码:3163 / 3178
页数:16
相关论文
共 39 条
[1]  
Adepoju, 2013, INT J INNOV RES ADV, V2, P56
[2]   Morphological, Physical, and Thermal Properties of Chemically Treated Banana Fiber [J].
Aseer, J. Ronald ;
Sankaranarayanasamy, K. ;
Jayabalan, P. ;
Natarajan, R. ;
Dasan, K. Priya .
JOURNAL OF NATURAL FIBERS, 2013, 10 (04) :365-380
[3]   Flexural Mechanical Properties of Natural Fibre Reinforced Polymer Composites - A Statistical Investigation [J].
Asma, Benkhelladi ;
Hamdi, Laouici ;
Ali, Bouchoucha ;
Youcef, Mouadji .
FIBERS AND POLYMERS, 2020, 21 (10) :2321-2337
[4]   Optimization of two-step transesterification production of biodiesel from neem (Azadirachta indica) oil [J].
Awolu O.O. ;
Layokun S.K. .
International Journal of Energy and Environmental Engineering, 2013, 4 (1) :1-9
[5]  
Bledzki A.K., 2002, Natural and wood fiber reinforcement in polymers
[6]   Composites reinforced with cellulose based fibres [J].
Bledzki, AK ;
Gassan, J .
PROGRESS IN POLYMER SCIENCE, 1999, 24 (02) :221-274
[7]  
Chen J., 2011, J PENG APPL SURF SCI, V268, P3068
[8]   Statistical modeling and optimization of the flexural strength, water absorption and density of a doum palm-Kankara clay filler hybrid composite [J].
Dan-asabe B. ;
Yaro S.A. ;
Yawas D.S. ;
Aku S.Y. .
Journal of King Saud University - Engineering Sciences, 2019, 31 (04) :385-394
[9]  
Elhajjar R., 2017, SMART COMPOSITES MEC
[10]   Predicting the elastic modulus of natural fibre reinforced thermoplastics [J].
Facca, Angelo G. ;
Kortschot, Mark T. ;
Yan, Ning .
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2006, 37 (10) :1660-1671