Multi-response Optimization for CNC Turning Process ab 39.9 € als Taschenbuch: . Aus dem Bereich: Bücher, Wissenschaft, Technik,
RSM: A Key to Optimize Machining: Multi-Response Optimization of CNC Turning with Al-7020 Alloy ab 54.99 € als Taschenbuch: . Aus dem Bereich: Bücher, Wissenschaft, Wirtschaftswissenschaft,
RSM: A Key to Optimize Machining: Multi-Response Optimization of CNC Turning with Al-7020 Alloy ab 44.99 € als pdf eBook: 1. Auflage. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik,
Multi-response Optimization for CNC Turning Process ab 39.9 EURO
RSM: A Key to Optimize Machining: Multi-Response Optimization of CNC Turning with Al-7020 Alloy ab 44.99 EURO 1. Auflage
In this book, the effects of cutting parameters such as spindle speed, depth of cut and feed on the surface quality and productivity of aluminium alloy 6061 on CNC lathe have been discussed. Experimental runs have been planed as per Box-Behnken design of response surface methodology (RSM). Based on the experimental data, the mathematical models have been developed by RSM to identify the effect of input process parameters on the output responses. The optimal parametric conditions are obtained by desirability function analysis for maximization of metal removal rate and minimization of surface roughness individually. Multi-objective optimization for all the responses has also been done by DFA technique simultaneously. Confirmatory tests have also been conducted at optimum parametric conditions to validate the accuracy of predicted turning condition obtained from said optimization technique. Finally based on the experimental results, discussion and analyses, some useful conclusions are drawn. These can be considered as contributions from the present work.
In order to build up a relationship between quality and productivity, the present work focuses an optimized method to determine multi-objective machining parameters and mathematical models for Material hardness and Pressure on CNC turning machine (SINUMERIK802D). The Hardness and Pressure have identified as quality aspects and are assumed to be directly related to the productivity. In this study, minimization of response parameters has identified by using design of experimental methods, Taguchi Analysis and Response surface methodology (RSM). The experiments were conducted using Taguchi's L27 Orthogonal array in the design of experiment by considering cutting speed, feed rate, angle of cut and depth of cut as Machining parameters.The model for the Hardness and Pressure, as the function of response parameters, was obtained using the RSM. Finally, the result of developed mathematical model was examined by ANOVA. The confirmation test was also carried out for both Taguchi and RSM method using optimal results.Thus, the machining parameters were optimized for attaining objective of minimum Material hardness and Pressure. The analysis of results was computed by using MINITAB 17 software.
This book is related to the multi-response optimization of the CNC turning operation.In present research work, the effect of insert nose radius and machining parameters including cutting speed, feed rate and depth of cut on surface roughness(Ra) and material removal rate(MRR) in a turning of HSS(M2) are investigated using the Taguchi method and ANOVA. A three level, four parameter design of experiment, L9 orthogonal array using Minitab 14 software, the signal-to-noise (S/N) ratio is employed to study the performance characteristics in the turning of HSS(M2) by taking nose radius of Tin coated carbide inserts tool of 0.4, 0.8 and 1.2 mm on CNC turning centre. The analysis of variance (ANOVA) is applied to study the percentage contribution of each machining parameters while CNC turning of HSS (M2) material. All experimental trials are conducted in a dry machining environment and at a constant spindle speed of 2800 rpm. The results are verified by taking confirmation experiments. The present investigation indicates that feed rate and nose radius are the most significant factors in the case of material removal rate and surface roughness.
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.