Conference Topics
The conference topics and goals will include (the list is not exhaustive):
Advanced Machining of Metallic Materials
To promote innovations in machining processes of metallic materials, including: Turning, milling, drilling, and
grinding; High-speed and precision machining; Hybrid subtractive manufacturing processes; Tool wear monitoring and
surface integrity control.
The conference will explore how AI-driven monitoring systems, predictive analytics, and real-time adaptive control can
improve machining efficiency, extend tool life, reduce waste, and enhance surface quality. Intelligent optimization of
cutting parameters through machine learning will be a key focus area.
Forming and Deformation Processing of Metallic Materials
To advance knowledge in metal forming processes, including: forging, rolling, extrusion, sheet metal forming,
incremental forming, etc.
Special emphasis will be placed on integrating AI into forming operations to enable: Real-time defect prediction
(cracks, thinning, wrinkling); Process parameter optimization; Adaptive press control; Digital twin–based simulation and
validation.
The goal is to transform traditional forming processes into smart, self-optimizing systems that improve quality,
material efficiency, and energy consumption.
Additive and Hybrid Manufacturing
To explore cutting-edge developments in metallic Additive Manufacturing (AM), including: Laser Powder Bed Fusion (LPBF),
Directed Energy Deposition (DED), Wire Arc Additive Manufacturing (WAAM), Hybrid additive-subtractive systems
The conference will highlight AI-driven approaches for: Real-time melt pool monitoring; Porosity and defect prediction;
Microstructure control; Process parameter optimization; Closed-loop control systems.
Additive manufacturing will be addressed not only as a production method but also as a sustainable manufacturing
strategy that reduces material waste and supports circular economy principles.
Welding, Casting, and Advanced Joining Technologies
To advance intelligent and sustainable joining and casting processes, including: Conventional welding; Friction Stir
Welding (FSW); Laser welding; Arc welding; Metal casting and solidification processes.
The integration of AI and computational intelligence will focus on: Weld defect detection and classification;
Optimization of heat input and process stability; Microstructure and mechanical property prediction; Solidification
modelling and casting defect prevention; Smart sensor-based monitoring of joining processes.
These approaches aim to enhance reliability, structural performance, and sustainability in metal production and
assembly.
AI-Driven Smart Manufacturing Integration
To unify all metallic material processing methodologies under intelligent systems by: Applying machine learning for
predictive quality control; Developing digital twins of manufacturing processes; Enabling autonomous process
optimization; Integrating IoT-based sensor networks; Implementing data-driven sustainability metrics.
The conference seeks to demonstrate how AI transforms machining, forming, additive manufacturing, welding, casting, and
hybrid processes into interconnected, adaptive, and eco-efficient production systems.
Sustainability and Eco-Efficiency Across All Processes
A cross-cutting objective of the conference is to ensure that every manufacturing methodology is evaluated through the
lens of: Energy efficiency; Waste minimization; Carbon footprint reduction; Material circularity; Life-cycle assessment.
By combining advanced metallic processing technologies with AI and digital transformation, the conference aims to
promote a future where high-performance manufacturing aligns with environmental responsibility.