Machining of tough polyethylene pipe material: surface roughness and cutting temperature optimization

被引:0
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作者
N. Hamlaoui
S. Azzouz
K. Chaoui
Z. Azari
M.-A. Yallese
机构
[1] May 8th 1945 University,Mechanics of Materials and Plant Maintenance Research Laboratory (LR3MI, UBM Annaba), Mechanical Engineering Department
[2] Badji Mokhtar University,Mechanics of Materials and Plant Maintenance Research Laboratory (LR3MI), Mechanical Engineering Department
[3] Laboratoire de Biomécanique,Structures and Mechanics Laboratory (LMS), Mechanical Engineering Department
[4] Polymères et Structures (LaBPS),undefined
[5] Ecole Nationale d’Ingénieurs de Metz,undefined
[6] May 8th 1945 University,undefined
关键词
HDPE; Machinability; Surface roughness; Cutting temperature; RSM; Optimization;
D O I
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中图分类号
学科分类号
摘要
Manufacturing of high-density polyethylene (HDPE) pipes is usually achieved by extrusion processes. However, various joining or fitted parts and mechanical testing samples are prepared by material removal methods. This study focuses on the machinability of the HDPE tough resin used for piping and fittings to make standard test specimens. The experimental plan has been conducted using a Taguchi (L27) orthogonal array. Input machining parameters are cutting speed (Vc), feed rate (f), and depth of cut (ap) while output effects are represented by conventional surface roughness criteria (Ra, Rt, and Rz) and the measured cutting temperature (t°). As a result, a second-order model was established between input and output parameters via the response surface methodology (RSM). The development of predictive models is essential for machining of extruded HDPE since few experimental trends and data are available in literature as compared to metals. Optimum cutting conditions are determined using the desirability function approach. It is revealed that the feed rate (f) is the main contributing factor when minimizing surface roughness of HDPE material. The analysis of variance (ANOVA) results showed that the contributions for surface roughness criteria (Ra, Rt, and Rz) are 96.11, 86.92, and 92.22% respectively. On the other hand, cutting temperature is mainly influenced by cutting speed (Vc), depth of cut (ap), and the three interactions (Vc × f), (Vc × ap), and (f × ap). Finally, optimized cutting temperature is discussed for the three main cases, which are lower, targeted, and upper values, i.e., t° minimum, t° targeted = 30 °C, and t° maximum allowable = 32 °C.
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页码:2231 / 2245
页数:14
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