The paper depicts an application of Response Surface Methodology (RSM)
for predicting selected parameters in turning of Ti-6Al-4V titanium alloy using polycrystalline diamond tool. Response surface plots that are generated by
the model helps in determining the optimum combination of input factors (cutting speed vc and feed rate f) for best possible surface roughness (Sa), cutting
force (Fc)and temperature (T) for dry and cooling turning. The methodology of
multi-criteria optimization was used to establish the interaction between input
parameters and given responses
CITATIONS(6):
1.
Investigation of the Impact of High-Speed Machining in the Milling Process of Titanium Alloy on Tool Wear, Surface Layer Properties, and Fatigue Life of the Machined Object Jakub Matuszak, Kazimierz Zaleski, Andrzej Zyśko Materials
Investigation of the Cutting Fluid Incidence Angle Direction in Turning Grade 5 ELI Titanium Alloy under High-Pressure Cooling Conditions Grzegorz Struzikiewicz Materials
Human Experience in HSM Versus AI in HSM Bruno Rădulescu, Mara-Cristina Rădulescu Bulletin of the Polytechnic Institute of Iași. Machine constructions Section
Process Stability Analysis during Trochoidal Milling of AZ91D Magnesium Alloy Using Different Toolholder Types Jarosław Korpysa, Ireneusz Zagórski, Andrzej Weremczuk, Witold Habrat Applied Sciences
Impact of Cutting Data on Cutting Forces, Surface Roughness, and Chip Type in Order to Improve the Tool Operation Reliability in Sintered Cobalt Turning Emilia Franczyk, Wojciech Zębala Materials
A Standardized Treatment Model for Head Loss of Farmland Filters Based on Interaction Factors Zhenji Liu, Chenyu Lei, Jie Li, Yangjuan Long, Chen Lu Agriculture
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