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.

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.

This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.

This book gathers high-quality papers presented at International Conference on Science, Technology and Innovation for Society (CITIS 2021), held in Guayaquil, Ecuador, on May 26–28, 2021. This book will present the recent research trends in the fields of software engineering, big data analysis, cloud computing, data engineering, data management and data mining, machine learning, deep learning, artificial intelligence, smart systems, robotics and automation, mechatronic design, and industrial processes design.

This book presents selected, peer-reviewed proceedings of the International Conference on Advanced Mechanical Engineering, Automation and Sustainable Development 2021 (AMAS2021), held in the city of Ha Long, Vietnam, from November 4 to 7, 2021. AMAS2021 is a special meeting of the International Conference on Material, Machines and Methods for Sustainable Development (MMMS), with a strong focus on automation and fostering an overall approach to assist policy makers, industries, and researchers at various levels to position local technological development toward sustainable development. The contributions published in this book stem from a wide spectrum of research, ranging from micro- and nanomaterial design and processing, to special applications in mechanical technology, environmental protection, green development, and climate change mitigation. A large group of contributions selected for these proceedings also focus on modeling and manufacturing of ecomaterials.

This book comprises the select proceedings of the International Conference on Materials, Design and Manufacturing for Sustainable Environment (ICMDMSE 2020). The primary focus is on emerging materials and cutting-edge manufacturing technologies for sustainable environment. The book covers a wide range of topics such as advanced materials, vibration, tribology, finite element method (FEM), heat transfer, fluid mechanics, energy engineering, additive manufacturing, robotics and automation, automobile engineering, industry 4.0, MEMS and nanotechnology, optimization techniques, condition monitoring, and new paradigms in technology management. Contents of this book will be useful to students, researchers, and practitioners alike.

This book presents the select proceedings of International Conference on Production and Industrial Engineering (CPIE) 2023. It covers the current and latest developments in material and agile manufacturing. Various topics covered in this book include material characterization, agile manufacturing, materials and processing, joining processes (welding), surface engineering and coatings, sustainability in manufacturing, and many more. The book is useful for researchers and professionals working in manufacturing and materials engineering and other allied fields.

Nanocomposites (both heterogeneous and anisotropic) are hard to machine due to their enhanced properties and there is a need to know about the problems associated with the machining of nanocomposites by various conventional as well as non-conventional machining operations. Machining of nanocomposites emphasizes on different fabrication methods to develop nanocomposites (polymers, metals, and ceramics) and different machining processes used in industries. Further, it describes issues and challenges including research trends associated with the same. It also evaluates mechanical and wear properties of the composites as well. Features: Covers manufacturing process of nanocomposites. Includes conventional and non-conventional machining process and relevant applications. Addresses effect of different nano-reinforcements on machinability. Discusses usage of design of experiments and optimization technique to improve the machinability of nanocomposites. Reviews challenges on machining of nanocomposites and its remedies. This book aims at Researchers, Graduate students in Mechanical Engineering, and Materials Sciences including Composites, Nanotechnology, and Machining.

This book presents select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including internet-of-things for cyber manufacturing, data analytics for manufacturing systems and processes and materials. The topics covered include modeling simulation and decision making in cyber physical systems for supporting engineering and production management, innovative approach in materials development, biomaterial applications, and advancement in manufacturing and material technologies. The book also discusses sustainability in manufacturing and supply chain management including circular economy. The book will be a valuable reference for beginners, researchers, and professionals interested in smart manufacturing in engineering, production management and materials technology.

This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.