Buch, Englisch, 552 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 979 g
Volume 1: Advanced Materials and Manufacturing Technologies
Buch, Englisch, 552 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 979 g
Reihe: Lecture Notes in Mechanical Engineering
ISBN: 978-3-031-31826-9
Verlag: Springer Nature Switzerland
This book presents selected, peer-reviewed proceedings of the 3rd International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022), held in the city of Can Tho, Vietnam, from 10 to 13 November 2022. The purpose of the conference is to explore and ensure an understanding of the critical aspects contributing to sustainable development with a focus on advanced mechanical engineering, automation, materials, machines and methods. The contributions published in this book come from authors representing universities, research institutes and industrial companies and reflect the results of a very broad spectrum of research, from micro- and nanoscale materials design and processing, to mechanical engineering technology in industry. Many of the contributions selected for these proceedings focus on materials modeling, eco-material processes and mechanical manufacturing.
Volume 1 of this book focuses on topics dedicated to advanced materials and manufacturing technologies, ranging from synthesis of new materials to sustainable development manufacturing technology.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Mechatronik, Mikrosysteme (MEMS), Nanosysteme
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
Weitere Infos & Material
Influences of Various Bracing on the Buckling Behavior of Steel Frames.- Structural Optimization via 3D Printing Technology using NPR Materials.- Improving the Accuracy of ACI 318-08 Design Standard for Predicting Strength of CFST Columns using Machine Learning.- The Recognition Accuracy in the SSD Model.- Research and Fabrication of Metal Powder Dispersing Equipment for 3d Printing Technology.- Cutting Methods in the Single Point Diamond Turning and Surface Roughness of the Ultra-precision Products - A Brief Review.- Defects Classification on Garment Fabrics and Application of Artificial Intelligence to Detect Defects During Fabric Inspection.- Behavior Analysis for One-Way Wide Module Joist Concrete Floor System.- Research on the Hydromechanical Forming for the Conical Products by Numerical Simulation.
