Kumar / Sharma / Srivastava 3D Printing Technologies

Digital Manufacturing, Artificial Intelligence, Industry 4.0
1. Auflage 2024
ISBN: 978-3-11-121511-2
Verlag: De Gruyter
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 396 Seiten, WEB PDF

Additive Manufacturing is a method of manufacturing parts and products directly from design data, by adding layers of materials in order to obtain the final shape and size with high accuracy and negligible waste. The book covers the latest developments of hybrid and bio-inspired 3D Printing, the use of Artificial Intelligence and the applications to Industry 4.0, real-time defect detection, hybrid and bio-inspired 3D Printing.

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Autoren/Hrsg.

Kumar, Ajay

Kumar, Parveen

Sharma, Naveen

Srivastava, Ashish Kumar

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Computergestützte Fertigung

Über Autor(innen)

Dr. Ajayis currently serving as an Associate Professor in Mechanical Engineering Department, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. His areas of research include Artificial Intelligence, Materials, Incremental Sheet Forming, Additive Manufacturing, advanced manufacturing, Industry 4.0, Waste management, and optimization techniques. He has over 60 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences.

Mr. Parveenis currently serving as an Assistant Professor and Head in Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. Currently, he is pursuing Ph.D. from National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India and M.Tech. (Distinction) in Manufacturing and Automation from Maharshi
Dayanand University, Rohtak, India. His areas of research include Materials; Die less Forming, Design of Automotive systems, Additive Manufacturing, CAD/CAM and artificial Intelligence, machine learning and Internet of Things in manufacturing, multi objective optimization techniques. He has over 20 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has 8 national and international patents in his credit. He has supervised more than 10 M.Tech. Scholars and numerous undergraduate projects/ theses. He has a total of 12 years of experience in teaching and research.