Scope of IC3M 2026

The International Conference on Mechanical and Mechanics of Materials (IC3M 2026) covers a wide range of topics in mechanical engineering and mechanics of materials. Below are the key areas of focus for submissions and discussions:

Manufacturing Processes

• Conventional and Non-Conventional Machining
• Additive Manufacturing and 3D Printing
• Welding and Joining Processes
• Micro and Nano-Manufacturing
• Advanced Joining and Assembly Techniques

Machine Design and Vibration Analysis

• Computational Mechanics
• Fracture Mechanics
• Structural Health Monitoring
• Vibration Reduction and Active Control
• Integrated Design and Simulation

Materials Engineering

• High-Entropy Alloys
• Nanomaterials
• Shape-Memory Alloys
• Carbon Fiber-Reinforced Polymers
• Self-Healing Materials
• Materials for Extreme Environments

Fluid Dynamics and Thermal Engineering

• Computational Fluid Dynamics for Complex Flows
• Multiphase Flow and Heat Transfer
• Heat Exchanger Design and Optimization
• Advanced Heat Transfer

Fluid Structure Interaction Artificial Intelligence and Smart Manufacturing

• Artificial Intelligence in Mechanical Engineering
• Machine Learning for Predictive Maintenance
• Deep Learning Applications in Manufacturing
• AI-Based Quality Inspection and Defect Detection
• Intelligent Process Optimization
• Smart Factory and Industry 4.0 Technologies
• Digital Twin Technology for Manufacturing Systems
• AI-Driven Production Planning and Scheduling
• Industrial Internet of Things (IIoT)
• Human-Robot Collaboration in Smart Manufacturing

AI in Materials Engineering

• Machine Learning for Materials Discovery
• AI-Based Materials Characterization
• Data-Driven Materials Design
• Predictive Modeling of Material Properties
• AI Applications in Composite Materials
• Intelligent Monitoring of Material Degradation
• Materials Informatics and Data Analytics

AI in Machine Design and Structural Engineering

• Generative Design Using Artificial Intelligence
• AI-Based Structural Health Monitoring
• Machine Learning for Failure Prediction
• Intelligent Vibration Analysis and Control
• Optimization of Mechanical Systems Using AI
• Digital Engineering and Smart Design Systems

AI in Thermal and Fluid Engineering

• Machine Learning for CFD Applications
• AI-Assisted Heat Transfer Optimization
• Data-Driven Fluid Flow Prediction
• Intelligent Energy Management Systems
• AI Applications in Renewable Energy Systems
• Smart Thermal System Monitoring

Robotics and Automation

• Autonomous Industrial Robots
• Intelligent Robotic Systems
• AI-Based Process Automation
• Collaborative Robotics (Cobots)
• Computer Vision for Manufacturing Automation
• Autonomous Inspection and Maintenance Systems

Emerging Technologies

• Explainable AI for Engineering Applications
• Edge AI for Industrial Systems
• Cyber-Physical Systems
• Smart Sensors and Intelligent Monitoring
• Sustainable Manufacturing Using AI
• Generative AI Applications in Engineering Design