This book comprises select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2018). The book discusses different topics of industrial and production engineering such as sustainable manufacturing systems, computer-aided engineering, rapid prototyping, manufacturing management and automation, metrology, manufacturing process optimization, casting, welding, machining, and machine tools. The contents of this book will be useful for researchers as well as professionals.

Presents selected papers from the International Conference on Future Learning Aspects of Mechanical Engineering Discusses the importance of sustainable manufacturing processes, manufacturing management, and automation Brings together topics from industrial and production engineering, and aims to foster closer cooperation between academia and industry

Autorentext

Dr. Kripa Shanker is the former Vice-Chancellor of Uttar Pradesh Technical University, Lucknow, and former Deputy Director of Indian Institute of Technology, Kanpur. He obtained his M.S and Ph.D. in Operations Research and Industrial Engineering from Cornell University, USA. His main areas of teaching and research include production and operations management, supply chain management, quantitative and statistical decision models, computer integrated and flexible manufacturing systems, cellular manufacturing, and simulation. He has published more than a hundred papers in international journals and conference proceedings and has organized several education courses for engineering college teachers and engineers and managers from the industry. He is a Fellow and Life Member of several organizations such as Indian National Academy Engineering, Institution of Engineers (India), Indian Institution of Industrial Engineering, and Indian Society for Technical Education.
Dr. Ravi Shankar is the "Amar S. Gupta Chair Professor of Decision Science" and Group Chair of Operations and Supply Chain Management in the Department of Management Studies (DMS), Indian Institute of Technology, Delhi, India. His areas of interest include decision science, business analytics, and big data, operations and supply chain management, project management, total quality management and six sigma, sustainable freight transportation, strategic technology management, telecom system planning and design, and knowledge management. Besides having a highly productive academic career, he has undertaken several international teaching assignments and research-driven collaborations.
Dr. Rahul Sindhwani is an Assistant Professor in the Department of Mechanical Engineering, Amity School of Engineering and Technology, Amity University, Noida, Uttar- Pradesh, India. His research interest includes in the area of industrial and production engineering, especially in a lean, green and agile manufacturing system, quantitative and statistical decision models. He has published several research articles in international peer-reviewed journals.

Inhalt
Enhanced Fluorescence Based Detection of Vibrio Cells Over Nanoporous Silica Substrate.- Wear Analysis of Al-5083 Alloy Reinforced With Chromium Oxide Filler on Air Jet Erosion Test Rig.- Statistical Analysis of Surface Roughness Using Rsm In Hard Turning of Aisi 4340 Steel With Ceramic Tool.- Parametric Investigation Into Alumina Nano Powder Mixed Edm of Inconel 825 Alloy Using Rsm.- Eco Design Approaches For Developing Eco-Friendly Products: A Review.- Plumbene: A New 2d-Material Resembling Grapheme.- Study the Wear Behaviour Of Al5083-7% B4c Composite Fabricated By Stir Cast Technique.- Study of Machining Performance in Edm Through Response Surface Methodology.- Friction Stir Welding of Thermoplastic Composites.- Numerical Simulation of Temperature Distribution Welding of Aisi 316.- A Framework for Flexible Job Shop Scheduling Problem Using Simulation-Based Cuckoo Search Optimization.- An Experimental Study to Evaluate the Warpage and Cracking Issues in Fused Deposition Modeling.- Optimization of Electrical Discharge Boron Carbide as Reinforcements.-Weld Strength Analysis of Ultrasonic Polymer Welding Using Adaptive Neuro-Fuzzy Inference System.- A Brief Review on Different Lubricants Used in Mql Effects of Welding Parameters in Friction Stir Welding of Stainless Steel and Aluminum.- Process During Hard Turning.- Applicability of Lean Six Sigma in Hospitals. <p