About the Journal

Aim:

The Journal of Smart Welding and Additive Manufacturing (JSWAM) is an international, peer-reviewed, open-access journal devoted to publishing high-impact research, technological breakthroughs, and industrial advancements in welding, joining technologies, and additive manufacturing. JSWAM brings together cutting-edge developments from across disciplines with a focus on intelligent, digital, and automated manufacturing systems.

Scope:

JSWAM invites original research articles, reviews, technical notes, case studies, and communications on but not limited to the following themes:

Additive Manufacturing (AM) and Advanced Printing Technologies

  • 3D Printing and 4D Printing of Metals, Polymers, Ceramics, Glass, Composites, and Biomaterials
  • Advanced AM Techniques: Wire Arc AM (WAAM), Directed Energy Deposition (DED), Powder Bed Fusion (PBF), Binder Jetting, SLA, FDM, and Hybrid AM
  • Multi-material and Functionally Graded Structures
  • Process Modeling, In-situ Monitoring, and Quality Control
  • Topology Optimization and Design for Additive Manufacturing (DfAM)
  • Applications in Biomedical, Aerospace, Automotive, and Energy Sectors
  • Post-processing, Residual Stress Control, Mechanical Properties, and Standards
  • Smart Materials, Shape Memory Alloys, and Stimuli-responsive Materials for 4D Printing
  • Sustainable and Circular Additive Manufacturing

Welding and Joining Technologies

  • Fusion and Solid-state Welding: Arc, Laser, Electron Beam, Friction Stir, Resistance, etc.
  • Brazing, Soldering, Adhesive Bonding, and Hybrid Joining Methods
  • Welding of Advanced and Dissimilar Materials
  • Welding Metallurgy, Microstructure, Residual Stresses, and Defect Analysis
  • Smart Welding: Real-time Monitoring, Adaptive Control, and Process Automation
  • Applications in Heavy Industry, Shipbuilding, Construction, and Smart Infrastructure

Digitalization, Intelligence, and Industry 4.0

  • Automation and Robotics in Welding and Additive Manufacturing
  • Digital Twins, AI/ML Algorithms, and Predictive Modeling
  • Cyber-Physical Systems and Smart Factories
  • Sensor Fusion, IoT Integration, and Intelligent Process Feedback
  • Data-Driven Manufacturing and Real-time Decision Making

 

JSWAM is particularly interested in interdisciplinary and emerging research that pushes the boundaries of conventional manufacturing, such as intelligent systems, human-robot collaboration, sustainability in AM, and convergence with biomanufacturing and nanotechnology.

 All submissions undergo rigorous peer review and editorial evaluation to ensure scientific integrity, relevance, and excellence.

Prospective guest editors for publishing the special issue should contact the Editor-in-Chief of the Journal.