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.

Six Sigma approach is generally employed to improve the sigma level of manufacturing or service processes by reducing their deviations and defects. Six Sigma provides the opportunity to eliminate mistakes, improve morale and save money. Doing things right in first time and keeping them consistent is the only idea behind Six Sigma. Its fundamental objective is to achieve customer satisfaction with continuous improvement in quality and productivity. Mostly we are emphasizing on various tools or techniques being used during DMAIC projects and almost ignore the procedure to execute different phases of the Six Sigma project. This book provides unique step by step methodologies to perform Define, Measure, Analyse, Improve and Control phases of a Six Sigma project, respectively. An empirical investigation has been carried out in a make-to-order type (medium sized) foundry and Six Sigma is successfully implemented by decreasing the scrap of piston castings, appreciably. The book focuses on scrap reduction specifically in Indian foundries and tries to find out the reasons of low productivity index. It also tends to shatter the various phobias of SMEs in context of Six Sigma by validating the compatibility of proposed methodologies through a successful case study in Indian foundry environments.

Africa’s dire need to industrialize is universally acknowledged and it is evident that the continent’s vast mineral resources can catalyze that industrialization. This requires the promotion of local beneficiation and value addition of minerals to yield materials on which modern Africa’s industry and society can rely. This book is, therefore, about transforming Africa’s comparative advantages in minerals into the continent’s competitive edge regarding materials. Mineral beneficiation and value addition form the basis and provide opportunities for mineral-driven Africa’s industrialization. The scope of the book is three-fold with inter-connected relationships: Information, Technical, and Policy oriented. It will be a useful reference material for mining undergraduate students on beneficiation and value addition of each of the minerals found in Africa. The book, while presenting a broad overview of beneficiation and value addition of Africa’s minerals, provides crucial starting material for postgraduate research students and R&D institutions who wish to delve into more advanced methods of extraction and utilization of mineral-derived materials that are in Africa for the purpose of industrialization of the continent.

As per present manufacturing scenario, focus of all manufacturing organizations is to produce good quality product with a minimum cost. CNC turning process is the most common machining process that is used in now days. Present work has been done to optimize the machining parameters for material AL 6061 like depth of cut, feed rate and cutting speed. As per the requirements of the manufacturing sector there is huge application of AL6061. Therefore it becomes necessary to optimize the various machining parameters of AL6061.In present work CNC Turning parameters has been optimized for AL 6061 using Response surface Method (RSM). Initially after selecting the parameters and their levels individually a RSM matrix has been prepared. After words experiments were performed as per RSM matrix. Material removal rate and surface roughness was recorded as per the defined set of experiments of matrix. Afterwards significance of individual parameters like Speed, feed and depth of cut has been noticed at 95% confidence level by applying regression tests.Further the optimized results have been verified using One Way ANOVA. MINITAB 16 software is used for the formulating the matrix and for the analysis of regression and response surface methodology.