Proceedings of the 7th Asia Conference on Materials and Manufacturing Technology
Description
This book presents selected papers from the 7th Asia Conference on Material and Manufacturing Technology (ACMMT 2025), held from November 4-7, in Pattaya, Thailand. This book reports on advances in material-enabled manufacturing technologies and intelligent production systems, with a special emphasis on their intersections with mining, metallurgy, and materials engineering. It covers a diverse array of topics, including the extraction and processing of materials for advanced manufacturing, the use of novel alloys and composites in intelligent production equipment, and the application of digital technologies in optimizing mining-related manufacturing processes. Further topics include the development of sustainable manufacturing practices within the context of mining-based materials and the integration of artificial intelligence in metallurgical production systems. This book offers a timely reference for both academics and professionals in the broad field of mining, metallurgy, and materials engineering. It equips readers with the latest knowledge and research findings, enabling academics to further their research and professionals to innovate in industrial processes, thereby driving the continuous development of these industries in the era of advanced manufacturing and intelligent production.
More details
Person
Yong Suk Yang is a professor emeritus in the Nano Energy Engineering Department, former dean of the College of NanoScience and NanoTechnology, and former director of the Research Center of Dielectric and Advanced Materials at Pusan National University. He received Ph.D. in solid-state physics in 1990 from McGill University, Montreal. He has been a faculty member since 1993. He has been working at neutron- and synchrotron radiation-related international facilities, NSLS, APS, SSRL, Oak Ridge (USA), AECL (Canada), SPring8 (Japan), Riso (Denmark), KAERI (Korea). He has published various articles on the phase transitions of structural order-disorder, low dimensional antiferromagnet, glass crystallization, dielectric relaxation, and negative thermal expansion. Multiferroics, solid oxide fuel cells, and lithium-ion batteries are also his recent interests. He has taught under and graduate students over 30 subjects, including quantum mechanics, statistics, solid-state physics, thin films, semiconductors, thermal physics, ceramics, dielectrics, and modern physics.
Content
Prediction of the Dimensions of the Hardened Zone of Laser-Hardened Bearing Steel GCr15.- Quantification of Bainite, Pearlite, and Ferrite in Steel Microstructures Using Synthetic Dataset Generation and Deep Learning.- Air Gap Size and Its Impact on the Static Properties of Laser-Welded Ultra-High-Strength Steel Lap Joints.- Fabrication of Complex-shaped Plate Springs with Flat Contact Surfaces by Laser Hardening Forming for An Origami Engineering.- Optimizing PBF-LB Ti6Al4V: Layer Thickness Impacts on Microstructure, Strength, and Toughness.- Role of Interpass Temperature in Determining Mechanical Properties and Fatigue Strength of Wire Arc Additively Manufactured Carbon Steel.- Influence of Build Orientation on the Properties of IN625-RAM2 in PBF-LB Manufacturing.- Influence of Carrier Inertia of 2K-H Planetary Gear Mechanism on Transmitted Torque in Transient Response for Observation of Planetary Gear Behavior with a High-speed Camera.- Development of On-machine Evaluation Equipment for WN Gear with Small Number of Teeth Manufactured with a Four-axis Controlled Machining Center.- Investigation of Raising Temperature of Tooth Surface for High-ratio Hypoid Gears Based on Infrared Thermography Monitor under Oil-mist Supply Control Conditions.- Investigation of End-milling forces Using Wireless Sensory Tool Holder Under a Constant Feed-speed Condition at Cutting Point with Five-axis Controlled Machine Tools.- Delamination of CFRP in Helical Hole Drilling with Forward and Reverse Rotation of cBN Electrodeposited Barrel Shaped Tool and Optimization of Cutting Parameters.- Consideration of Barrel-Shaped End Mills Cutting Conditions using Proper Integrated Variables in Tool Catalog Data Mining.- Tool Catalog Data-mining of Microdrills for Printed Circuit Boards Using Kernel Principal Component Analysis and K-means Clustering.