Optimization of Machining Parameters of Natural/Glass Fiber with Nanoclay Polymer Composite Using Response Surface Methodology

被引:0
作者
Ragunath S. [1 ]
Rathod M.L. [2 ]
Saravanan K.G. [3 ]
Rakesh N. [4 ]
Kifetew M. [5 ]
机构
[1] Mechanical Engineering, SVS College of Engineering, Coimbatore
[2] Department of Electronics and Communications Engineering, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka
[3] Department of Mechanical Engineering, Sona College of Technology, Salem
[4] Department of Mechanical and Industrial Engineering, University of Technology and Applied Sciences, Nizwa
[5] Department of Environmental Engineering, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa
关键词
Machining centers - Milling (machining) - Nanocomposites - Natural fibers - Signal to noise ratio - Surface properties;
D O I
10.1155/2023/9485769
中图分类号
学科分类号
摘要
Machining processes are one of the most important finishing operations in the fabrication of composites, which contain natural fibers. However, it is difficult to attain a better fishing on the final components. Hence, an attempt has been made in the work to achieve a good surface finish in compression-molded hybrid fiber composites containing nanoclay particles by optimizing the milling parameters. Experiments were conducted by using Box-Behnken design (response surface methodology (RSM)) to optimize the milling process parameters such as spindle speed (16, 24, and 32 rpm), feed rate (0.1, 0.2, and 0.3 mm/rev.), and depth of cut (1, 1.5, 2 mm) along with different vol% of nanoclay content (3%, 6%, and 9%). The surface roughness of machined fiber composite was measured, and the most influential parameters were analyzed by analysis of variance, evaluation of signal-to-noise ratio, and mathematical models of responses were developed by RSM. The experimental results (A2B1C4D3) indicated that the feed rate is one of the most significant parameters, followed by nanoclay content, depth of cut, and spindle speed. Surface roughness was found to decrease continuously (2.18-2.08 μm) with increasing nanoclay content (up to 6%) at a certain limit and further addition of clay content (above 6%); the results were declined (2.42 μm) for the same levels of other parameters. © 2023 S. Ragunath et al.
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