International Journal of Computer-Aided technologies (IJCAx)

Computer aided technologies (CAx) encompass the use of advanced computational methods and digital tools to support the design, analysis, simulation, and manufacturing of engineered products. The International Journal of Computer Aided Technologies (IJCAx) is an open access, peer reviewed journal dedicated to publishing high quality research that advances the state of the art in modern CAx methodologies, systems, and applications.

The journal welcomes contributions across the full spectrum of next generation CAx technologies, including AI driven design automation, advanced simulation, digital twins, additive manufacturing, robotics, geometry processing, XR based engineering, and intelligent manufacturing systems. IJCAx emphasizes both theoretical innovation and practical implementation, reflecting the rapidly evolving landscape of digital engineering and smart production.

Authors are invited to submit original research articles, case studies, survey papers, and industrial experience reports that demonstrate significant advances in computer aided design, engineering, manufacturing, and lifecycle technologies.

Topics of interest include but are not limited to, the following

AI Driven Design, Engineering and Manufacturing

• Generative Design and AI Assisted Design Automation
• Topology Optimization, Shape Optimization and Lightweighting
• Deep Learning for Geometry, Feature Recognition and Shape Understanding
• Machine Learning for CAD/CAE/CAM Integration
• Foundation Models and Generative AI for Engineering
• Reinforcement Learning for Robotics, Manufacturing and Process Control
• Physics Informed Machine Learning and Hybrid Simulation Models

Advanced Simulation, Multiphysics and Computational Methods

• Multiphysics Simulation (Structural, Thermal, Fluid, Electromagnetic)
• Finite Element, Boundary Element and Meshless Methods
• Reduced Order Modeling and Real Time Simulation
• High Performance Computing (HPC) for Engineering Simulation
• Uncertainty Quantification and Reliability Engineering
• Surrogate Modeling and Simulation Acceleration

Digital Twins, Digital Thread and Engineering Informatics

• Digital Twins for Design, Manufacturing and Lifecycle Management
• Digital Thread Integration Across Engineering Processes
• Model Based Systems Engineering (MBSE)
• AI Enhanced Engineering Knowledge Capture and Reuse
• Semantic Interoperability and Knowledge Driven Engineering Data Models
• Engineering Data Governance and Lifecycle Intelligence

Additive Manufacturing and Intelligent Production

• Additive Manufacturing (AM), Design for AM and Lattice Structures
• Hybrid Manufacturing (Additive + Subtractive)
• Intelligent Machining and AI Enhanced CNC
• Process Simulation, Monitoring and Optimization
• Smart Manufacturing, Industry 4.0 and Cyber Physical Production Systems
• IoT Enabled Manufacturing and Connected Factories

Robotics, Automation and Autonomous Systems

• Industrial Robotics and Collaborative Robots (Cobots)
• Robot Simulation, Digital Twins and Virtual Commissioning
• Autonomous Systems for Assembly, Inspection and Material Handling
• Motion Planning, Control and Learning Based Robotics
• Vision Guided Robotics and Intelligent Inspection

XR, Visualization and Human Centered Engineering

• Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR)
• Immersive Design, Virtual Prototyping and Virtual Assembly
• Real Time Rendering and Physics Based Visualization
• Haptics, Tactile Interfaces and Immersive Interaction
• Digital Human Modeling, Ergonomics and Cognitive Engineering
• Engineering Focused Human Computer Interaction (HCI)

Geometry Processing, CAD Automation and Engineering Software Systems

• Geometry Processing, Shape Modeling and Computational Design
• CAD Automation, Scripting and API Driven Engineering Workflows
• Cloud Native CAx Platforms and Collaborative Engineering Tools
• Engineering Software Ecosystems and Interoperability Frameworks
• Secure Engineering Data Management and IP Protection

Paper Submission:

Authors are invited to submit papers for this journal through E-mail ijcaxj@aircconline.com. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal

Important Dates :

Editorial Board Members

• Abd EL-Aziz Ahmed, Anna University, India
• Abdolreza Hatamlou, Islamic Azad University, Iran
• Abe Zeid, Northeastern University, USA
• Aditya Goel, Indian Institute of Technology-Bombay, India
• Aniello Minutolo,Institute for High Performance Computing and Networking, Italy
• Anurag Mishra, IMSEC, India
• Behrouz Zolfaghari, AmirKabir University of Technology, Iran
• Benoit Eynard,Universite de Technologie de Compiegne, France
• Binod Kumar Pattanayak, Siksha 'O' Anusandhan University, India
• Dakshina Ranjan Kisku, Asansol Engineering College, India

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User Name : alex
Posted 23-05-2026 on 16:28:51