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Dixit / Kumar / Dodla

Trends in Material Processing

Proceedings of the AIMTDR 2023

Medium: Buch
ISBN: 978-981-952546-1
Verlag: Springer
Erscheinungstermin: 03.01.2026
Lieferfrist: bis zu 10 Tage

This volume features 24 carefully selected papers from the ninth International and 30th All India Manufacturing Technology, Design, and Research (AIMTDR) Conference, held during December 8–10, 2023, at the Indian Institute of Technology (BHU). The contributions included in this collection reflect the current focus areas and pressing challenges faced by manufacturing engineers and researchers. A significant number of these papers explore aspects of surface engineering, delving into both innovative processing techniques and the resultant quality of finished products. The book also features latest research on metal forming technologies, such as incremental sheet forming, showcasing advancements pushing manufacturing capabilities' boundaries. Additionally, it includes papers that underscore the growing importance of modeling and simulation, employing numerical methods like the Finite Element Method (FEM) to enhance efficiency and accuracy in design and production. The book can be a valuable reference for researchers and professionals interested in material processing techniques.


Produkteigenschaften


  • Artikelnummer: 9789819525461
  • Medium: Buch
  • ISBN: 978-981-952546-1
  • Verlag: Springer
  • Erscheinungstermin: 03.01.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Lecture Notes in Mechanical Engineering
  • Produktform: Kartoniert, Paperback
  • Gewicht: 470 g
  • Seiten: 292
  • Format (B x H x T): 155 x 235 x 17 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Design and In-House Development of Automatic Tube Filling Machine.- Quality Assessment of Ultrasonic Welded Joints Using Image Processing Technique.- Unsupervised weld defect classification through local deep image representative Features.- Implementation Of Just In Time Manufacturing Using 3d Printer.- Modelling of cranial implant and its prototype development using head CT scan data.