2017
DOI: 10.1007/s00170-017-0275-4
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Machining of tough polyethylene pipe material: surface roughness and cutting temperature optimization

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Cited by 22 publications
(32 citation statements)
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“…However, the percentage contributions depicted that the feed rate was the most significant contributor towards the surface roughness (31.31%), followed by the depth of cut (22.06%), and finally, the spindle speed (17.30%). These results agreed with the literature (Hamlaoui et al, 2017).…”
Section: Anovasupporting
confidence: 94%
“…However, the percentage contributions depicted that the feed rate was the most significant contributor towards the surface roughness (31.31%), followed by the depth of cut (22.06%), and finally, the spindle speed (17.30%). These results agreed with the literature (Hamlaoui et al, 2017).…”
Section: Anovasupporting
confidence: 94%
“…44,45 In our case, the CHELLALA ® DOT 3 synthetic brake oil distributed by NAFTAL Co. (Algeria) is employed as an aging environment. 46 The selected specimens are totally immersed in sufficient oil and the conditioning containers are kept tight-closed for 7 days 22,40,47…”
Section: Pipe Materials and Experimental Methodsmentioning
confidence: 99%
“…It is sometimes called "alkathene" or "polythene" when used for HDPE pipes with a high strength-to-density ratio. The Polyamides or Nylon class is one of the major engineering and high-performance thermoplastics classes because of its good balance of properties [28]. Polyamides contain repeating amide linkages (-CO-NH-), as shown in Figure 2b; they are formed by condensing identical units, copolymers, for different units.…”
Section: Materials and Measurement Methodsmentioning
confidence: 99%
“…M. Kaddeche et al [27] evaluated the surface roughness, cutting pressures, and temperatures during the turning of two grades of high density polyethylene (HDPE-100 and HDPE-80) extruded pipes and ANOVA was performed to establish predictive models. In addition, Hamlaoui et al [28] experimentally investigated the influence of cutting speed, feed rate, and depth of cut on surface roughness and cutting temperature during the turning of tough polyethylene pipe material HDPE-100 using a Taguchi (L27) orthogonal array. A predictive model was established between input and output parameters via the RSM.…”
Section: Introductionmentioning
confidence: 99%