2018
DOI: 10.3390/met8060394
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Artificial Intelligence Monitoring of Hardening Methods and Cutting Conditions and Their Effects on Surface Roughness, Performance, and Finish Turning Costs of Solid-State Recycled Aluminum Alloy 6061 Сhips

Abstract: Aluminum Alloy 6061 components are frequently manufactured for various industries-aeronautics, yachting, and optical instruments-due to their excellent physical and mechanical properties, including corrosion resistance. There is little research on the mechanical tooling of AA6061 and none on its structure and properties and their effects on surface roughness after finish turning. The objective of this comprehensive study is, therefore, to ascertain the effects of both the modern method of hardening AA6061 shaf… Show more

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Cited by 52 publications
(40 citation statements)
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“…xx/xx 03/10 consistent with the experimental data set. Various statistical methods have been applied to machining operations to find the optimum process parameters and surface roughness, machining time, and tool cost were used as outputs for these operations (Abbas et al 2017;Abbas et al 2018a;.…”
Section: An Investigation On Surface Roughness and Tool Wear In Turnimentioning
confidence: 99%
“…xx/xx 03/10 consistent with the experimental data set. Various statistical methods have been applied to machining operations to find the optimum process parameters and surface roughness, machining time, and tool cost were used as outputs for these operations (Abbas et al 2017;Abbas et al 2018a;.…”
Section: An Investigation On Surface Roughness and Tool Wear In Turnimentioning
confidence: 99%
“…The stepless speed control enables optimum cutting speeds to be selected based on the material type of the edge and the material to be machined for each workpiece diameter. Reported literature and practice allow us to achieve the desired edge durability [30,32,38] and surface condition [27,39,40]. Achieving a constant cutting speed is particularly desirable in turning faces with a continuous change in the turning diameter.…”
Section: Discussionmentioning
confidence: 99%
“…ANN milling model based on experimental data [34][35][36] was built to achieve our objective of solving the optimization problem in a multi-objective setting using both Edgeworth and the Pareto frontiers [31][32][33][37][38][39].…”
Section: Strategy For Determining the Optimal Conditionsmentioning
confidence: 99%