Optimization and analysis of dry sliding wear process parameters on cellulose reinforced ABS polymer composite material

被引:0
|
作者
Ponsuriyaprakash, S. [1 ]
Udhayakumar, P. [1 ]
Pandiyarajan, R. [2 ]
机构
[1] KLN Coll Engn, Dept Mech Engn, Pottapalayam, India
[2] Agni Coll Technol, Dept Mechatron Engn, Chennai, Tamil Nadu, India
关键词
Optimization techniques; Composites; Polymers; Fibers; Wear behavior; Worn surface analysis; Acrylonitrile-butadiene-styrene (ABS); Cellulose (Natural Fiber); Box-Behnken design; Optimization; ANOVA method;
D O I
10.1108/PRT-06-2021-0067
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Purpose This study aims to the optimization using three factors and three-level parameters (sliding speed [rpm], sliding distance [m/s] and load [N]) of design matrix were adapted to Box-Behnken design using design expert v8.0 software. Based on the parameters, to develop the linear regression equation and to find the significant considerable wear process parameters based on output responses like wear loss (WL) and coefficient of friction (COF) value of polymer matrix composites (PMC) specimen of Acrylonitrile-butadiene-styrene (ABS)/cellulose composite (80 wt% of ABS and 20 wt% of cellulose). Design/methodology/approach The fabrication of the ABS/cellulose composite sample was carried out by the simple hands-on stir process method. As per the American Society for Testing and Materials G99 standard, the sample was made by the molding process. The wear analysis was made by multi tribotester TR25 machine and validated the developed model by using statistical software design expert v.8.0 and numerical tools like analysis of variance. The surface morphology [field emission scanning electron microscopy (FESEM) analysis] of the sample was also observed using the Quanta FEG-250 FESEM instrument. Findings The parameters like sliding speed, sliding distance and load are independently affected the COF value and WL of the 80% of ABS matrix and 20% cellulose reinforced composite material. The regression equations were generated by the coefficient of friction value and WL, which predicted the minimum WL of 80% of ABS matrix and 20% of cellulose reinforced composite material. The worn surface analysis result exposes the worn path and equal distribution of reinforcement and matrix on the surface of composite material. Originality/value The literature survey revealed a small number of studies available regarding wear analysis of ABS matrix and cellulose reinforced composite materials. In the present work, to fabricate and evaluate the wear performance of PMC (80% of ABS and 20% of cellulose) depends on the WL and COF value. The maximum and minimum COF value (mu) of 80% of ABS and 20% of cellulose composite material is 4.71 and 0.28 with the optimized wear process parameter by 1,000 mm of sliding distance, 0.25 (m/s) of sliding speed and 9 N of load.
引用
收藏
页码:203 / 210
页数:8
相关论文
共 50 条
  • [41] Influence Mechanism and Optimization Analysis of Technological Parameters for the Composite Prepreg Tape Winding Process
    Deng, Bo
    Shi, Yaoyao
    Yu, Tao
    Zhao, Pan
    POLYMERS, 2020, 12 (08)
  • [42] Sound insulation analysis and optimization of anti-symmetrical carbon fiber reinforced polymer composite materials
    Zhang, Zhe
    Du, Yu
    APPLIED ACOUSTICS, 2017, 120 : 34 - 44
  • [43] Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis
    Fung, CP
    WEAR, 2003, 254 (3-4) : 298 - 306
  • [44] Design and analysis of wear parameters for epoxy based composite using RSM-box behnken optimization tool
    Srividya, Kode
    Ravichandran, S.
    Kumarasamy, M.
    Pattanaik, Balachandra
    Pattnaik, Manjula
    Subbiah, Ram
    Satishkumar, P.
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2025, 19 (02): : 1453 - 1453
  • [45] Delamination analysis of drilling parameters on neem/banyan fiber-reinforced sawdust particulates hybrid polymer composite
    Raja, Thandavamoorthy
    Devarajan, Yuvarajan
    Dhanraj, G.
    Pandiaraj, Saravanan
    Rahaman, Mostafizur
    Thiruvengadam, Muthu
    BIOMASS CONVERSION AND BIOREFINERY, 2024, 14 (09) : 10747 - 10757
  • [46] Analysis and optimization of temperature distribution in carbon fiber reinforced composite materials during microwave curing process
    Li, Nanya
    Li, Yingguang
    Hang, Xiang
    Gao, James
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2014, 214 (03) : 544 - 550
  • [47] Parametric studies on dry sliding wear behaviour of Al-7075 alloy matrix composite using S/N ratio and ANOVA analysis
    Alagarsamy, S., V
    Ravichandran, M.
    MATERIALS RESEARCH EXPRESS, 2020, 7 (01)
  • [48] Effects of electrophoretic deposition process parameters on the mechanical properties of graphene carboxyl-grafted carbon fiber reinforced polymer composite
    Yandrapu, Sagar
    Gangineni, Pavan K.
    Ramamoorthy, Sunil K.
    Ray, Bankim C.
    Prusty, Rajesh K.
    JOURNAL OF APPLIED POLYMER SCIENCE, 2020, 137 (31)
  • [49] Autoclave process parameters affecting physical properties of carbon fiber reinforced polymer composite laminates using response surface methodology
    Baghad, Abd
    El Mabrouk, Khalil
    JOURNAL OF REINFORCED PLASTICS AND COMPOSITES, 2023, 42 (15-16) : 762 - 775
  • [50] Microstructure and Dry Sliding Wear Behavior of Fe-Based (Cr, Fe)7C3 Composite Coating Fabricated by PTA Welding Process
    Y. L. Yuan
    Z. G. Li
    Journal of Materials Engineering and Performance, 2013, 22 : 3439 - 3449