N. Ramesh Babu,
Santosh Kumar,
G. M. Karthik,
P. Sharma
e.a.
Advances in Additive Manufacturing Volume—I
Proceedings of the AIMTDR 2023
Paperback Engels 2026 9789819616497Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
This book presents a part of selected proceedings of the 9th International and 30th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2023). It discusses the latest advances in hybrid manufacturing process and technology, composites fabrication, non-traditional and advanced machining processes, energy beam processing, high performance cutting tools, micro and nano machining of glasses and ceramics, concurrent and reverse engineering, modeling of machining processes, intelligent machining, and super finishing technologies, among other areas. The contents of this book are useful for researchers and professionals in the various fields of mechanical engineering.
Specificaties
ISBN13:9789819616497
Taal:Engels
Bindwijze:Paperback
Aantal pagina's:367
Uitgever:Springer Nature Singapore
Lezersrecensies
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Inhoudsopgave
Chapter 1: Investigation on Kinematics in Additive Manufacturing.- Chapter 2: Energy absorption characteristics and Compressive mechanical properties of the Hybrid lattice structure.- Chapter 3: Fabrication of Multi-Material Laminate Structure Using Laser Powder-Bed Fusion In A Laboratory Scale Developed Setup.- Chapter 4: Design and Development of a hybrid strut-based lattice structure.- Chapter 5: Design and Optimization of a Heat Sink for Multi-Material Co-Extrusion in Additive Manufacturing.- Chapter 6: Development of Novel Ti64-Fe-Co-based β-Titanium Alloy with Improved Strength and Elongation Properties Using Laser Processing Route.- Chapter 7: Role of Laser Fluence on the Characteristics of AlSi10Mg Track Deposited through DED-L-based Additive Manufacturing Technique.- Chapter 8: Electroformed Copper Pillar structures on Additively Manufactured Template: Modeling and Validation.- Chapter 9: Investigating Stringing Defects in 3D Printed PLA Parts: Defect Identification and Optimization using MobileNetV2 CNN Model.- Chapter 10: Deformation behaviour and elastic energy absorption capability of additively manufactured strut-based and Voronoi lattice structures on FDM.- etc.
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