Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2012 · 42 citations · 21 references
EngineeringManufacturing EngineeringMaterials EngineeringManufacturing ProcessesMaterials ProcessingProduction EngineeringCnc MachiningMachiningTaguchi MethodsCast Iron AlloysControl FactorsCutting Force AnalysisCutting ForcesMachining ProcessesMachining TechnologyOutput VariablesTurning
The aim of this study is to model and optimize the cutting conditions for the cutting force ( F c ) and average surface roughness ( R a ) that result from the machining of high-alloy white cast iron (Ni-Hard). The hard turning experiments were carried out on a CNC lathe with ceramic and CBN inserts. Cutting tool material, cutting speed, feed rate and depth of cut were chosen as the cutting conditions (control factors). Taguchi’s L 18 orthogonal array was used for design of experiment. Optimum levels of the cutting conditions were determined using signal-to-noise ( S/N) ratio, which was calculated for machining output variables ( F c and R a ) according to the ‘the-smaller-the-better’ approach. The effects of the cutting conditions on machining output variables were evaluated by the analysis of variance. The analysis of variance results showed that the depth of cut and feed rate were the most significant factors on F c and R a , respectively. Besides, the optimal cutting conditions for main cutting force and surface roughness were found at the different levels.
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Taguchi Techniques for Quality Engineering
Thomas R. Bement · Technometrics · 1989 · 2.7K citations
Taguchi's quality engineering handbook
Choice Reviews Online · 2006 · 849 citations
Management, Manufacturing Engineering, Quality Management +12
Khaider Bouacha, Mohamed Athmane Yallese, Tarek Mabrouki et al. · International Journal of Refractory Metals and Hard Materials · 2009 · 383 citations
Engineering, Manufacturing Engineering, Mechanical Engineering +14