000014365 001__ 14365
000014365 005__ 20161115100149.0
000014365 04107 $$aeng
000014365 046__ $$k2016-08-21
000014365 100__ $$aSadeghifar, Morteza
000014365 24500 $$aFE modeling and optimization of cutting temperature in orthogonal turning

000014365 24630 $$n24.$$p24th International Congress of Theoretical and Applied Mechanics - Book of Papers
000014365 260__ $$bInternational Union of Theoretical and Applied Mechanics, 2016
000014365 506__ $$arestricted
000014365 520__ $$2eng$$aCutting difficult-to-machine materials has always been a challenging task for the industry. It is known that that high cutting temperature leads to inaccuracies in component dimensions, phase transformation, and tensile residual stresses, while large cutting forces cause high tool wear and power consumption of turning machines. Accordingly, the present study aims at the design optimization of machining parameters including cutting speed, feed rate, edge radius and rake angle using a combination of Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) technique in order to accurately capture the global minimum value for the cutting temperature against the cutting force constraint. The results demonstrate that low feed and edge radius along with a roughly small magnitude of cutting speed and an intermediate value of rake angle lead to the smallest cutting temperature when the resultant cutting force is limited to a specific value.

000014365 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000014365 653__ $$a

000014365 7112_ $$a24th International Congress of Theoretical and Applied Mechanics$$cMontreal (CA)$$d2016-08-21 / 2016-08-26$$gICTAM2016
000014365 720__ $$aSadeghifar, Morteza
000014365 8560_ $$ffischerc@itam.cas.cz
000014365 8564_ $$s157828$$uhttps://invenio.itam.cas.cz/record/14365/files/PO.SM15-1.13.206.pdf$$yOriginal version of the author's contribution as presented on CD,  page 2953, code PO.SM15-1.13.206
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000014365 962__ $$r13812
000014365 980__ $$aPAPER