Buch, Englisch, 859 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1305 g
ICIMA 2020
Buch, Englisch, 859 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1305 g
Reihe: Lecture Notes in Mechanical Engineering
ISBN: 978-981-15-4484-2
Verlag: Springer Nature Singapore
This book gathers selected papers presented at the Second International Conference on Intelligent Manufacturing and Automation (ICIMA 2020), which was jointly organized by the Departments of Mechanical Engineering and Production Engineering at Dwarkadas J. Sanghvi College of Engineering (DJSCE), Mumbai, and by the Indian Society of Manufacturing Engineers (ISME). Covering a range of topics in intelligent manufacturing, automation, advanced materials and design, it focuses on the latest advances in e.g. CAD/CAM/CAE/CIM/FMS in manufacturing, artificial intelligence in manufacturing, IoT in manufacturing, product design & development, DFM/DFA/FMEA, MEMS & nanotechnology, rapid prototyping, computational techniques, nano- & micro-machining, sustainable manufacturing, industrial engineering, manufacturing process management, modelling & optimization techniques, CRM, MRP & ERP, green, lean & agile manufacturing, logistics & supply chain management, quality assurance & environmental protection, advanced material processing & characterization of composite & smart materials. The book is intended as a reference guide for future researchers, and as a valuable resource for students in graduate and doctoral programmes.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Biomaterialien, Nanomaterialien, Kohlenstoff
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Konstruktionslehre, Bauelemente, CAD
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik
Weitere Infos & Material
Exploring Ideal Process Parameters to Enhance the Surface Integrity using Grey Fuzzy Integrated Technique.- Multi-objective Optimization of Dry EDM with Inconel 718 Using Grey Relational Analysis.- Predictive Modeling of Surface Roughness in the Machining of Inconel 625 using Artificial Neural Network.- Measurement of Spur Gear Parameters using Machine Vision.- Modeling and Optimisation of Cutting Temperature in Hard Turning of AISI 52100 Hardened Alloy Steel using Response Surface Methodology.- Optimization of Surface Roughness during High Speed Milling of Inconel 825 using Grey Relation Analysis.- Role of Technological Innovativeness in the Manufacturing Performance of Indian SMEs.