This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2020) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during August 21-22, 2020. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.

Autorentext
Dr. A. N. R. Reddy, Professor of Mechanical Engineering and Head of the Department, obtained his B.Tech. and M.Tech. from JNT University, Hyderabad, India, and Ph.D. from Universiti Malaysia Sarawak, Malaysia. Dr. A.N.R. has received many prestigious research innovation and academic excellence awards that include Malaysian Government International Student Award 'Malaysian International Scholarship'; Zamalah Graduate Scholarship; Two Silver medals and best Paper Presentation Awards for his state-of-the-art for research innovations in biofuels and nano catalysts. His main research domains are bioenergy, pyrolysis of biomass, synthesis of nano materials, spectrophotometry, applied & fluid mechanics, modelling, optimization, DOE and TRIZ. Dr. A.N.R., as a Principle Investigator, has successfully completed AICTE, Govt. of India sponsored research project entitled 'Multi Objective Optimization of Production Process Parameters using Evolutionary Algorithms', and guided many PG and UG projects. He is a life member of several professional associations such as ORSI, ISTAM, IndACM, ISTE, EWB, SAE India and ISSMO. Having over 20 years of service in both academics and research, he has more than 35 publications to his credit in various ISI/ Scopus indexed journals and Conference proceedings. Dr. A.N.R. was an Organizing Chair & Editor for SIST Series 'Proceedings of Intelligent Manufacturing and Energy Sustainability 2019', also he is actively involved in organizing trainings, seminars, conferences, FDPs and workshops for the benefit of academia.
Dr. Deepak Marla is currently working as Assistant Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Bombay (IIT Bombay). He has obtained Ph.D. from IIT Bombay and had done his postdoctoral work from the Technical University of Denmark & University of Illinois at UrbanaChampaign. His work is in the domain of micro-/nano-manufacturing using advanced techniques that involve lasers, electric discharges, electrochemical reactions, plasmas and micro-tools. His research focuses on gaining a fundamental insight into these processes through a synergetic use of multi-physics modelling and simulation, and experiments with an eye on addressing critical challenges at the process level.
Dr. Margarita N. Favorskaya is Professor and Head of Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. Professor Favorskaya is a member of KES organization since 2010, the IPC member and Chair of invited sessions of over 30 international conferences. She serves as Reviewer in international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence), Associate Editor of Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems and International Journal of Reasoning-based Intelligent Systems, Honorary Editor of the International Journal of Knowledge Engineering and Soft Data Paradigms, Reviewer, Guest Editor and Book Editor (Springer). She is the author or the co-author of 200 publications and 20 educational manuals in computer science. She co-authored/co-edited seven books for Springer recently. She supervised nine Ph.D. candidates and is presently supervising four Ph.D. students. Her main research interests are digital image and video processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence and information technologies.
Suresh Chandra Satapathy is currently working as Professor, KIIT Deemed to be University, Odisha, India. He obtained his Ph.D. in Computer Science Engineering from JNTUH, Hyderabad, and Master's degree in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, Odisha. He has more than 27 years of teaching and research experience. His research interest includes machine learning, data mining, swarm intelligence studies and their applications to engineering. He has more than 98 publications to his credit in various reputed international journals and conference proceedings. He has edited many volumes from Springer AISC, LNEE, SIST and LNCS in the past, and he is also the editorial board member in few international journals. He is a senior member of IEEE and a life member of Computer Society of India. Currently, he is National Chairman of Division-V (Education and Research) of Computer Society of India.

Inhalt
Metallographic Analysis of the Percentage of Carbon in the Test Tube Based on Artificial Vision.- Machinability Study of Nickel Material in Deep Micro-holes Fabrication Through ECM.- Three-Dimensional FEM Analysis of Nanoparticle Assisted Radio Frequency Ablation of Tissue Mimicking Phantom.- Investigations on Electrochemical Discharge Machining of Al2O3 Ceramics.- Design and Numerical Simulation of PCM Based Energy Storage Device for Helmet Cooling.- Numerical Simulation and Analysis of Tank Filling Time and Flow Sequence.- GA Based Tuning of Integral Controller for Frequency Regulation of Hybrid Two Area Power System with Nonlinearities and Electric Vehicles.- Design and Analysis of Vehicle Tyres with Phase Change Material for Anti-Freezing.- Experimentation and Mathematical Modelling: Indirect Forced Convection Solar Drying of Tomato with Novel Drying Chamber Arrangement using Phase Change Material as Thermal Energy Storage.- The Effect of Indoor and Outdoor Conditions on Performance of Solar Hybrid VCR System An Experimental Study.