Welding and metal casting technologies are integral to manufacturing technology. The efficiency of these technologies, as well as their use in waste reduction and automation, have been major concerns for modern research.
Artificial Intelligence (AI) and machine learning model implementation can solve various problems relating to welding and metal casting: from defect detection using image processing via ML algorithms and sensors, to AR/VR-based learning for training and educating welders and manufacturers. Quality management and precision research can be encouraged in welding and metal casting processes using tools such as Lean Six Sigma.
Quality assessment, process automation, and simulation-based research for metal casting and welding are also important ways of conducting investigations from a materials perspective. Metal additives, polymeric and metal matrix composites, and process integration in welding or metal casting (such as additive manufacturing integrated welding or casting) are all factors when considering the material and manufacturing process.
This Research Topic welcomes researchers and industrial experts to submit contributions in the form of Original Research, Systematic Review, Methods, Review, Hypothesis & Theory, Mini Review, Perspective, Brief Research Report, Data Report, and Opinion on topics such as, but not limited to:
• Advances in welding or metal casting process optimization,
• Microstructural studies & Inspections in foundry technologies: SEM, XRD, Tomography, etc.,
• Materials innovation: Metal matrix composition manipulation or additions,
• Wastage reduction in welding or metal casting processes,
• Enhanced process efficiency, using Six Sigma Concepts or Reliability,
• Simulation-based research for metal casting/welding processes,
• Weld quality or casting assessment using destructive or non-destructive testing,
• Artificial Intelligence and machine learning models in welding or metal casting,
• In-space applications of welding and casting technologies,
• Additive manufacturing integrated welding & casting technologies for intricate
geometries.
Keywords:
Welding, Metal casting, Manufacturing, Artificial Intelligence, Industry 4.0, Inspection Techniques
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Welding and metal casting technologies are integral to manufacturing technology. The efficiency of these technologies, as well as their use in waste reduction and automation, have been major concerns for modern research.
Artificial Intelligence (AI) and machine learning model implementation can solve various problems relating to welding and metal casting: from defect detection using image processing via ML algorithms and sensors, to AR/VR-based learning for training and educating welders and manufacturers. Quality management and precision research can be encouraged in welding and metal casting processes using tools such as Lean Six Sigma.
Quality assessment, process automation, and simulation-based research for metal casting and welding are also important ways of conducting investigations from a materials perspective. Metal additives, polymeric and metal matrix composites, and process integration in welding or metal casting (such as additive manufacturing integrated welding or casting) are all factors when considering the material and manufacturing process.
This Research Topic welcomes researchers and industrial experts to submit contributions in the form of Original Research, Systematic Review, Methods, Review, Hypothesis & Theory, Mini Review, Perspective, Brief Research Report, Data Report, and Opinion on topics such as, but not limited to:
• Advances in welding or metal casting process optimization,
• Microstructural studies & Inspections in foundry technologies: SEM, XRD, Tomography, etc.,
• Materials innovation: Metal matrix composition manipulation or additions,
• Wastage reduction in welding or metal casting processes,
• Enhanced process efficiency, using Six Sigma Concepts or Reliability,
• Simulation-based research for metal casting/welding processes,
• Weld quality or casting assessment using destructive or non-destructive testing,
• Artificial Intelligence and machine learning models in welding or metal casting,
• In-space applications of welding and casting technologies,
• Additive manufacturing integrated welding & casting technologies for intricate
geometries.
Keywords:
Welding, Metal casting, Manufacturing, Artificial Intelligence, Industry 4.0, Inspection Techniques
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.