Influence of Milling Parameters on Surface Roughness of Wood-Plastic Composites Applying I-Optimal Experimental Design

Authors

  • Chainarong Srivabut Department of Industrial Engineering, Faculty of Engineering, Rajamangala University of Technology Srivijaya
  • Surasit Rawangwong 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

Keywords:

Milling, Composite Materials, Surface Roughness, I-Optimal Design, Response Surface Methodology

Abstract

This research is to study the influence of parameters on surface roughness from milling process of wood-plastic composites (WPCs) applying I-Optimal experimental design. Three factors in this study were speed (200, 480, and 720 rpm), feed rate (200, 480, and 720 mm/min), and depth of cut (3, 5, and 7 mm). The WPC specimens were mixed and compressed by twin screw extruder and hot-press, respectively. In addition, the experimental results were analyzed by Analysis of Variance (ANOVA) and optimized using Response Surface Methodology (RSM). The results can be summarized that increased speed resulted in a decrease in surface roughness, which the speed increased from 480 to 720 rpm, causing the surface roughness to be slightly increased. Moreover, it found that the decreased feed and depth of cut resulted in a decrease in surface roughness. The optimum parameter for side and face milling of WPCs was 720 rpm speed, 200 mm/min feed, and 3 mm depth of cut with a surface roughness condition generates of 2.580 µm and 2.790 µm with desirability score of 92.33% and 93.93%, respectively.

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Published

2022-12-28

How to Cite

[1]
C. Srivabut, S. Rawangwong, and C. Homkhiew, “Influence of Milling Parameters on Surface Roughness of Wood-Plastic Composites Applying I-Optimal Experimental Design”, Eng. & Technol. Horiz., vol. 39, no. 4, pp. 22–35, Dec. 2022.

Issue

Vol. 39 No. 4 (2022): October-December

Section

Research Articles

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