Parametric optimization especially in machining of non-ferrous alloys seems to be quite rare
and needs an immediate attention because of its associated downstream financial and
non-financial losses. This book tries to fill the gap and presents an optimization problem of
commonly used Al-7020 Alloy. Principles of Response Surface Methodology (RSM) have been
implemented through Minitab software to bring necessary multi-response optimization while
turning on a CNC turner. The present study focuses on to enhance Material Removal Rate (MRR)
while simultaneously reducing the Surface Roughness (Ra) during turning of Al-alloy. Such
opposite natured response optimization is much difficult to achieve particularly when uncoated
carbide tip has been used as a cutting tool. Intensive literature survey helps to pin point
parameters like Cutting Speed Feed Rate and Depth of Cut as a most critical to machining
parameters as far as effective and efficient optimization of selected responses are concerned.
All these control-parameters are directly or inversely related to each other. If the depth of
cut is increased MRR increases at the same time we get poor surface finish. Increase in the
cutting speed has positive impact on both material removal rate and surface finish. Shortlisted
parameters are conflicting so we have to optimize these for further enhancement of the overall
turning performance. At last the optimized results are verified by using ANOVA as a
statistical tool. This book provides quite rare Case-study of multi-response optimization
(while non-ferrous CNC turning) to practioners machinists and SME owners appropriately.
