Analysis of Sinter-Based Additive Manufacturing for Functional Products
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Beschreibung
Sinter-based additive manufacturing enables the production of complex metallic components — but the path from digital design to reliable functional parts remains fraught with challenges. This book bridges the gap between research and industrial application by providing a systematic framework for the entire material extrusion (MEX/M) process chain.
Key topics include
- Systematic analysis and optimization of debinding and sintering processes for metallic materials
- Development of design guidelines tailored to sinter-based additive manufacturing
- Integration of machine learning methods for process prediction and quality assurance
- Characterization of mechanical properties and dimensional accuracy of printed functional components
- Practical strategies for achieving reliable, load-bearing metal parts through MEX/M
The book offers engineers, researchers, and graduate students a structured methodology to understand, control, and optimize the MEX/M process — from material selection and printing parameters to post-processing and final part qualification. By combining experimental investigation with data-driven approaches, it provides actionable insights for both academic research and industrial implementation in lightweight engineering and beyond.
The author
Mohammad Karim Asami began his research career at the Institute for Laser and System Technologies (iLAS) at Hamburg University of Technology (TUHH), where he led a research group dedicated to sinter-based additive manufacturing. He subsequently joined the Fraunhofer Research Institution for Additive Production Technologies (IAPT) as group leader, driving the transfer of scientific findings into industrial application. His expertise spans process chain optimization, material characterization, and machine learning in production engineering.
Sinter-based additive manufacturing enables the production of complex metallic components — but the path from digital design to reliable functional parts remains fraught with challenges. This book bridges the gap between research and industrial application by providing a systematic framework for the entire material extrusion (MEX/M) process chain. The book offers engineers, researchers, and graduate students a structured methodology to understand, control, and optimize the MEX/M process — from material selection and printing parameters to post-processing and final part qualification. By combining experimental investigation with data-driven approaches, it provides actionable insights for both academic research and industrial implementation in lightweight engineering and beyond.
Develops systematic design guidelines for sinter‑based additive metal manufacturing along the entire process chain Integrates machine‑learning models to predict quality parameters and reduce development costs Validates optimization approaches using functional demonstrators such as bipolar plates and multi‑material components
Autor*in
Karim Asami
Themen in »Analysis of Sinter-Based Additive Manufacturing for Functional Products«
Sinter-based additive manufacturing MEX/M metal material extrusion Machine Learning quality prediction Design guidelines for additive manufacturing Lightweight infill optimization Metal 3D printing Sintering