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Call for Paper I 征稿主題

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Topics of interest for submission include, but are not limited to:

New Materials and Advanced Materials

Non-ferrous Metal material
Iron and Steel
Composites
Micro / Nano Materials
Optical/Electronic/Magnetic Materials
New Functional Materials
Building Materials
New Energy Materials
Environmental Friendly Materials
Earthquake Materials and Design
Biomaterials
Smart/Materials Intelligent Systems
Polymeric Materials
Mechanical Behavior & Fracture
ToolingTesting and Evaluation of Materials

Electronic Materials

Electronic MaterialsSemiconductor Materials
Display Materials
-Battery Materials
Optical Materials
Dielectric Materials
Ferroelectric Materials
Conductive Metal

Sensor Technology

Nanomaterials and Electrics Technology for Sensors
Semiconductor Materials for Sensors
Polymer Materials for Sensors
Mechanical Sensor
Optical Sensor
Optical Fiber Sensor
Biological, Chemical Sensor
Temperature Sensor
Gas Sensor
Humidity Sensor
Robot Sensor
Other Sensors
Multi Sensor Fusion Technology
Sensor Calibration
Acoustic Sensor
Electromagnetic Sensor

Materials Processing Engineering

Materials Processing EngineeringMetallurgy Technology
Polymer Materials
Polymer Processing
Metalworking
Casting
Welding

Material Chemistry

Materials ChemistryClassical Analytical Chemistry
Instrumental Analysis
Optical Analysis
Polymer Science
Material Processing
Structural Chemistry
Material Shaping

Manufacturing Processes and Systems

Materials Forming
Materials Machining

Surface Engineering/Coatings
Powder Metallurgy
Severe Plastic Deformation
Tribology in Manufacturing Processes
Theory and Application of Friction and Wear
Casting and solidification
Microwave Processing of Materials
Waste-to-Energy, Waste Management and Waste Disposal
Thermal Engineering Theory and Applications
Rapid Prototyping, Manufacturing, and Tooling
E-manufacturing, ERP, and Integrated Factory
Sequencing, and Scheduling
Virtual Manufacturing, and Simulation
Operations, and Production Management
Precision Engineering, and Concurrent Engineering
DSS, ES and AI in Manufacturing
Engineering Optimization

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