Buscar
Mostrando ítems 11-20 de 888
Effect of PCBN tool grade and cutting type on hard turning of high-chromium white cast iron
(Springer Science and Business Media LLC, 2015-06-24)
The effect of process parameters and cutting tool shape on residual stress of SAE 52100 hard turned steel by high speed machining
(2020-04-26)
This study focused on determining the residual stress of SAE 52100 hard-turned steel. The objective was to evaluate and compare the effects of the cutting-edge geometry and cutting parameters (cutting speed, feed rate, and ...
Influence of refrigeration/lubrication condition on SAE 52100 hardened steel turning at several cutting speeds
(Pergamon-elsevier Science LtdOxfordInglaterra, 2003)
Hardness and elastic modulus of carbon-germanium alloys
(Elsevier B.V., 2001-11-01)
This work reports on the mechanical properties of germanium-rich amorphous carbon-germanium alloys prepared by RF sputtering of a germanium/graphite target under an argon/hydrogen atmosphere. Nano-hardness, elastic modulus ...
Hardness and elastic modulus of carbon-germanium alloys
(Elsevier B.V., 2001-11-01)
This work reports on the mechanical properties of germanium-rich amorphous carbon-germanium alloys prepared by RF sputtering of a germanium/graphite target under an argon/hydrogen atmosphere. Nano-hardness, elastic modulus ...
Hardness and elastic modulus of carbon-germanium alloys
(Elsevier B.V., 2014)
A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened Steel turning
(Abcm Brazilian Soc Mechanical Sciences & Engineering, 2010-12-01)
The use of artificial neural networks for prediction in hard turning has received considerable attention in literature. An often quoted drawback of ANNs is the lack of a systematic way for the design of high performance ...
A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened Steel turning
(Abcm Brazilian Soc Mechanical Sciences & Engineering, 2010-12-01)
The use of artificial neural networks for prediction in hard turning has received considerable attention in literature. An often quoted drawback of ANNs is the lack of a systematic way for the design of high performance ...