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Smart Innovations and Technological Advancements in Civil and Mechanical Engineering

Editat de Satish Chinchanikar, Ashok Mache, Shardul G. Joshi, Preeti Kulkarni
en Limba Engleză Hardback – 6 dec 2024
This new volume presents chapters on how smart innovations are rapidly changing the materials and machining processes and structural engineering applications of machine learning in the areas of natural and renewable energy. It presents diverse research on state-of-art technology in materials and manufacturing engineering; in design engineering, automation, and electric vehicle technology; in structural engineering; and in environmental and water resources engineering.
The book will be valuable for students and professionals alike on how smart innovations are rapidly changing the materials and machining processes, structural engineering, and applications of machine learning in the areas of natural and renewable energy.
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Specificații

ISBN-13: 9781774914120
ISBN-10: 1774914123
Pagini: 314
Ilustrații: 157
Dimensiuni: 156 x 234 mm
Greutate: 0.74 kg
Ediția:1
Editura: Apple Academic Press Inc.
Colecția Apple Academic Press

Public țintă

Academic and Postgraduate

Cuprins

Introduction PART I: MATERIALS AND MANUFACTURING ENGINEERING 1. A Nanoclay-Reinforced Jute-Polyester Nanocomposite for Enhanced Mechanical Performance 2. Effect of Epoxidized Soyabean Oil on Mechanical and Structural Properties of Sepiolite-Filled Polypropylene/Polyolefin Elastomer Composites 3. Process Parameter Optimization by Ant Lion Algorithm of Austenitic Stainless Steel (SS 304) for Cutting Force in Turning Using PVD-Coated Tools Deposited with TiAlN/TiSiN Coating Materials 4. Electrical Discharge Machining Process Optimization during Machining of EN19 Alloy Steel Using Desirability Concept 5. Some Studies on Hole Feature Recommendation for Additive Manufacturing Processes PART II: DESIGN ENGINEERING, AUTOMATION, AND ELECTRIC VEHICLE TECHNOLOGY 6. Comparative Evaluation of Modal and Harmonic Analysis of Stepped Horn for Ultrasonic Vibration Assisted Turning 7. Design and Analysis of Wing for Unmanned Aerial Vehicle 8. Estimation of Modal Loss Factor of Viscoelastic Material Using Modal Strain Energy Method 9. Crop Yield Prediction and Leaf Disease Detection Using Machine Learning PART III: STRUCTURAL ENGINEERING 10. Buckling Analysis of Thin-Walled Cylinder under Axial Compression and Internal Hydrostatic Pressure Using Finite Element Model 11. Seismic Behavior of Buckling Restrained Brace Installed Steel Buildings 12. Non-Linear Dynamic Analysis of Multi-Story R. C. C. Buildings Having Different Geometry 13. Application of Average Response Spectrum for Analysis of Structures 14. Fluid Dynamics Analysis of Liquid Sloshing in a Rectangular Container under Lateral Excitation 15. Study of Mechanical and Micro Structural Properties of Fly Ash and GGBS-Based Geopolymer Concrete PART IV: ENVIRONMENTAL AND WATER RESOURCES ENGINEERING 16. Application of Solar Dryer for Drying of Agricultural Products 17. Flow Estimation and Flood Forecasting over Narmada River Using Three Data-Driven Techniques 18. Correlating Stage Measurement Stations Using Three Data-Driven Techniques: A Comparative Assessment

Notă biografică

Satish Chinchanikar, PhD, is currently working as a Professor at the Vishwakarma Institute of Information Technology, India. His main research interest is in advanced manufacturing processes and machining of hard alloys using coated tools. He has over 25 years of teaching and industry experience and has published over 100 papers in international journals and conferences. He has authored a book chapter on finish machining of hardened steels published by Elsevier and a textbook on advanced manufacturing processes. He has been awarded an excellent paper certificate at the International Conference on Key Engineering Materials in Malaysia. He is working as a reviewer for many peer-reviewed international journals. His work has received over 1200 citations, and he has an h-index 16 for his work. Dr. Chinchanikar has published five patents and holds three copyrights to date. He strongly believes that teaching and research should go hand in hand. He received his PhD from the Indian Institute of Technology Kanpur and received a master’s from Pune University, India.
Ashok Mache, PhD, is currently working as Associate Professor at Vishwakarma Institute of Information Technology, India. His main research interest is in composite materials, advanced finite element modelling, and vehicle dynamics. He has over 18 years of teaching and industry experience and has published m0re than 20 papers in international journals and conferences. He has authored two book chapters in Bio-composites for Automotive Applications. He is working as a reviewer for peer-reviewed international journals. He has received 140+ citations and has an h-index 7 for his work and holds one copyright. He received his PhD from the Indian Institute of Science, Bangalore, India.
Shardul G. Joshi, PhD, is working as Professor in the Department of Civil Engineering at the Vishwakarma Institute of Information Technology, Pune, India. He has over 20 years of teaching experience. He has published eight research papers in conferences and journals and holds one patent. He has completed his doctoral studies at Thapar University Patiala, Punjab, India.
Preeti Kulkarni, PhD, is currently working as Associate Professor at the Vishwakarma Institute of Information Technology, India. Her main research interests are construction management, concrete technology-recycled materials, and soft computing applications in civil engineering. She has more than 18 years of teaching and industry experience and has published over 20 papers in international journals and over 25 in international conferences. She is working as a reviewer for peer-reviewed international journals. She has also authored one book, titled Infrastructure Engineering and Construction Economics. She received her PhD in Concrete Technology from Shivaji University, India.

Descriere

Discusses how smart innovations are changing the materials and machining processes and structural engineering applications of machine learning in areas of natural and renewable energy. Presents research on state-of-art technology in fields like materials and manufacturing engineering, design engineering, structural engineering; and more.