2019
DOI: 10.1080/10426914.2019.1594271
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Experimental study of the influence of the process parameters in the milling of Al6082-T6 alloy

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Cited by 37 publications
(8 citation statements)
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“…Many of the previous research works have shown that cutting process parameters have a significant effect on surface roughness [ 27 , 34 , 42 ]. The feed per tooth has a significant effect on the cutting process [ 38 ] and on surface roughness [ 27 , 34 , 36 , 42 , 46 ]; however, the cutting speed and depth of cut also significantly affect the surface quality, as shown in the works [ 36 , 42 , 52 ]. To limit the effect of cutting parameters on the results of analyses of the effects of face milling strategies on the surface roughness, one set of cutting process parameters was used in the experimental study.…”
Section: Methodsmentioning
confidence: 99%
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“…Many of the previous research works have shown that cutting process parameters have a significant effect on surface roughness [ 27 , 34 , 42 ]. The feed per tooth has a significant effect on the cutting process [ 38 ] and on surface roughness [ 27 , 34 , 36 , 42 , 46 ]; however, the cutting speed and depth of cut also significantly affect the surface quality, as shown in the works [ 36 , 42 , 52 ]. To limit the effect of cutting parameters on the results of analyses of the effects of face milling strategies on the surface roughness, one set of cutting process parameters was used in the experimental study.…”
Section: Methodsmentioning
confidence: 99%
“…The quality of the machined surface may also depend on the wear level of the cutting edge [32,33]. Cutting edge wear during the cutting process and general cutting process can be assessed by monitoring cutting forces [34], whereas the monitored cutting forces can be used to predict the quality of the machined surface [35]. A lot of research works have been devoted to the analysis and optimisation of cutting process parameters to achieve low surface roughness levels [36][37][38], high dimensional accuracy [39], high process efficiency [40,41] and reduced energy consumption during the machining process [42].…”
Section: Introductionmentioning
confidence: 99%
“…In this study, the responses were considered as of equal weight-age. The steps given below are required for optimization in the TOPSIS method [22,23].…”
Section: Optimization Procedures Involved In the Topsis Methodsmentioning
confidence: 99%
“…Generally, the average flank wear (V b ) is utilized to quantify tool life. The tool rejection criteria were fixed (average flank wear 300 µm), and ISO 8688-2 [40] was followed. As illustrated in Fig.…”
Section: Progression Of Tool Wearmentioning
confidence: 99%