Progress in Additive Manufacturing

Progress in Additive Manufacturing (PIAM) publishes scientific papers that report original and significant research related to established and emerging Additive Manufacturing (AM) processes and technologies. It provides technically and industrially relevant results and data, and serves as a platform for academia and industry. PIAM specifically welcomes original contributions that present and discuss novelties covering the value chain of AM. In this context, added value is specifically seen in the use of simulation methods in all processing steps, and the use of artificial intelligence and data analytics to extend prediction and control capabilities. Manuscripts are also encouraged to consider and discuss the results in the context of their contribution to the circular economy, resource efficiency and environmental aspects.
 
The journal welcomes full papers, review articles and short communications in the following AM topics:

• Design for AM: Design optimization principles and lattice structures, as well as incorporating reverse engineering
• Material simulation considering the specific AM process conditions and requirements, including use of modelling and digital twins
• AM material characterization such as microstructures and phases, and related physical properties
• AM process and material development and optimization, including hybrid process strategies, post-processing, and other multi-material and composite processing approaches
• Metrology for AM including Non Destructive Testing,  process monitoring and qualification, and the use of artificial intelligence methods and advanced data analytics to extend prediction and control capabilities
• Innovative approaches for AM data handling, including but not limited to 2D- or 3D-model/machine data representation and data chains including quality assurance
• Innovative and new applications of AM parts, including but not limited to functional integration and high temperature or high performance applications, medical and their characterization and testing
• Sustainability aspects in AM, including but not limited to process evaluation and component lifecycle assessment

• ▶ Reduced peer-review time for short communications
• ▶ Double-blinded peer-review system for all submitted papers
• ▶ Interdisciplinary topics ranging from data processing to simulation, new and hybrid process, to materials and microstructural analysis