Response Surface Optimization on Flexural Properties of Wood-Plastic Composites for Structure Materials Exposed to High Moisture Content

DOI: 10.14416/j.ind.tech.2022.02.001

Authors

  • Chainarong Srivabut Department of Industrial Engineering, Faculty of Engineering, Rajamangala University of Technology Srivijaya
  • Apichon Thongmung Kamnerdwam Department of Industrial Engineering, Faculty of Engineering, Rajamangala University of Technology Srivijaya
  • Chatree Homkhiew Department of Industrial Engineering, Faculty of Engineering, Rajamangala University of Technology Srivijaya / Materials Processing Technology Research Unit, Faculty of Engineering, Rajamangala University of Technology Srivijaya
  • Surasit Rawangwong Department of Industrial Engineering, Faculty of Engineering, Rajamangala University of Technology Srivijaya / Materials Processing Technology Research Unit, Faculty of Engineering, Rajamangala University of Technology Srivijaya
  • Thanate Ratanawilai Department of Industrial and Manufacturing Engineering, Faculty of Engineering, Prince of Songkla University

Keywords:

Mixture design, Recycled polypropylene, Rubberwood sawdust, Flexural properties, Response surface methodology

Abstract

Mixture design was used to determine the optimal formulation of wood-plastic composites (WPCs). Factors were recycled polypropylene (rPP), rubberwood sawdust (RWS), nanoclay (NC), maleic anhydride grafted polypropylene (MAPP), and lubricant (WAX). The specimens were prepared from an extrusion and compression molding machine. The experimental results were evaluated using analysis of variance (ANOVA) and optimized using response surface methodology (RSM). The results showed that all of the factors significantly (p < 0.05) affected the flexural and water absorption properties of WPCs. The flexural properties (MOR and MOE) decreased after immersion in water for periods of 1 and 3 months. The increase of the NC content increased the flexural properties but decreased the water absorption. The optimal formulation for overall properties had consisted of 50.7 wt% rPP, 36.1 wt% RWS, 9.2 wt% NC, 3.0 wt% MAPP, and 1.0 wt% WAX. The desirability of the overall properties was 0.936, suggesting that the model was able to predict the response to an adequate extent of 93.60%.

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Published

2022-02-09

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Section

บทความวิจัย (Research article)