Advances in Mechanical Engineering and Material Science

Select Proceedings of ICAMEMS 2023
1. Auflage 2024
ISBN: 978-981-99-5612-8
Verlag: Springer Nature Singapore

Buch, Englisch, 345 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 611 g

Reihe: Lecture Notes in Mechanical Engineering

This book presents the select proceedings of the Second International Conference on Advances in Mechanical Engineering and Material Science (ICAMEMS 2023). It covers the latest research in broad areas of manufacturing and materials engineering. Various topics covered in this book are advanced manufacturing processes, additive manufacturing, green manufacturing, industry 4.0, conventional machining processes, non-conventional machining processes, micro machining, materials processing surface science and engineering, advanced composite materials, materials characterization, and many more. The book is useful for researchers and students in the various fields of mechanical engineering.

Zielgruppe

Research

Autoren/Hrsg.

Tambe, Pankaj

Jhavar, Suyog

Huang, Peter

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

Chapter 1. Design Modelling For Commercial/Pilot Scale Circulating Fluidized Bed Combustion (CFBC) Boiler.- Chapter 2. On The Critical Role Of Surface Tension In Film Condensation Onto A Horizontal Cylinder.- Chapter 3. Artificial Roughness Aided Performance Improvement Of A Solar Chimney Power Plant: A Numerical Investigation Of Conjugate Heat Transfer.- Chapter 4. Effect Of Wind Shear Profile On Broadband Noise Emissions From Wind Turbines Blades Under Neutral Atmospheric Conditions.- Chapter 5. Effect Of Magnetic Field On Couette Flow In A Fluid-Saturated Porous-Filled Duct Under The Local Thermal Non-Equilibrium With Viscous Dissipation.- Chapter 6. Design And Analysis Of A Thermoacoustic Cooling System With Two-Stack Arrangement For Different Types Of Stacks.- Chapter 7. Development And Study Of A Low-Cost Mass Flow Characterization Technique For Port Fuel Injector.- Chapter 8. Effect Of Carrageenan Additive On Bubble Growth During Pool Boiling Heat Transfer.-Chapter 9. Cmorse - Automated Light-Based Morse Code Transmission Through Multi-Layered Encryption And Image Processing.- Chapter 10. Design And Evaluation Of Multi-Sensor Assistive Robot For The Visually Impaired.- Chapter 11. Crack Growth Prediction Models For A Pre-Defined Semi-Elliptical Crack Embedded In A Cantilever Bar Using Supervised Machine Learning Algorithms.- Chapter 12. Closed Blended Wing Body Concept Aircraft.-Chapter 13. Analysis Of Acoustics Performance Of Double-Layer Micro-Perforated Panel Absorbers: A Finite Element Analysis.- Chapter 14. Electric Vehicle Battery Pack Prediction Of Capacity Degradation Based On Deep Learning Architecture And Internet Of Things.-Chapter 15. A 3D Location Model For Harvesting The Fresh Chili Fruit Using Yolov. etc.

Über Autor(innen)

Dr. Pankaj Tambe received his B.E. degree from Nagpur University, Nagpur, in 2002, M.Tech. degree from Motilal Nehru National Institute of Technology (MNNIT) Allahabad in 2005, and his Ph.D. degree from the Indian Institute of Technology, Bombay, (IIT-B) in 2010. He is Professor at the School of Mechanical Engineering, VIT-AP University, Andhra Pradesh, India. He is Active Researcher with research interest in Polymer Processing, Interface and Interphases of Composite Materials. The applications of his research are in aerospace structures, interiors of automobiles, EMI shielding packaging and high K-dielectric materials. He is Editorial Board Member of Composite Interfaces, Taylor & Francis, UK.

Dr. Peter Huang is Associate Professor and Director of Undergraduate Studies in mechanical engineering in the Watson College of Engineering and Applied Science at Binghamton University. He received his B.A. degree in physics from Cornell University, M.Sc. and Ph.D. degrees in engineering from Brown University, and postdoctoral training in biomedical engineering at Tufts University. Dr. Huang’s research interests encompass the broad areas of fluid mechanics and mass transport in biomedical applications. His research group specializes in experimental microfluidics, optical diagnostics, and computational modeling, with ongoing projects in understanding the mechanobiology of heart valve calcification, modeling perivascular amyloid transport and cerebral amyloid angiopathy, and electrospray-based targeted printing. His research has been funded by the National Science Foundation and National Institutes of Health. Dr. Huang has taught fluid dynamics and transport phenomena at both the undergraduate and graduate levels since 2008 and was a recipient of the 2019 SUNY Chancellor’s Award of Excellence in Teaching. He currently serves as Chairperson of the Watson College Undergraduate Studies Committee, Member of the Binghamton University Health Sciences Transdisciplinary Areaof Excellence Steering Committee, Member of the Binghamton University Human Subject Research Review Committee (IRB), and Member of the Institutional Review Board of United Health Services Hospitals at Binghamton, New York.

Dr. Suyog Jhavar is Associate Professor at the School of Mechanical Engineering at Vellore Institute of Technology -AP (VIT-AP University). He is among the first few researchers who has received Ph.D. in Metal Additive Manufacturing in India. He received Ph.D. from IIT-Indore, in 2014 and M.Tech. in welding engineering from IIT-Roorkee in 2010. During his Ph.D. research, he integrated a welding heat source with an indigenously designed wire deposition system to develop a novel metallic additive manufacturing system. The results obtained were very promising and published in international scientific literature of repute and highly cited. His expertise includes designing of AM machine tool and architecture along with parametric, metallurgical and mechanical characterization of parts processed through AM route. His expertise also entails mathematical modeling and prediction of deposition profile for quality improvement in the 3D printed components.