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This book provides an in-depth exploration of process planning steps required for Directed Energy Deposition (DED) processes and their automation during the data preparation stage. DED is a resource-efficient, tool-less manufacturing method with high deposition rates and larger build volumes. Their flexibility, enabled by 6-axis industrial robots, allows fabrication of complex geometries, but poses challenges in data preparation and build strategy definition due to software limitations and lack of standards. This thesis thereby deals with the development of a STEP file format-based slicing framework with toolpath generation algorithms specific to build geometries clustered under six categories. Thin-wall components cluster, an important part category in the aerospace sector, is being further examined because of its industrial relevance.
Table des matières
Introduction.- Literature Review.- Research Needs and Goals.- Research Methodology.- Slicing and Toolpath Generation Approaches.- Influence of Process Parameters and Toolpath Strategy on Build Quality.- Conclusion and Outlook.
A propos de l'auteur
Vishnuu Jothi Prakash’s journey began with a Bachelor of Engineering in Mechanical Engineering from PSG College of Technology in Coimbatore, India, graduating in 2013. Having gained industrial exposure at MAHLE Filter Systems in Gurgaon, India, he moved to Germany for a Master of Science in International Production Management at Hamburg University of Technology (TUHH), completing it in 2017. He then worked as a Research Associate at Laser Zentrum Nord GmbH in Hamburg on laser material processing projects. Since January 2018, he has been with Fraunhofer IAPT, focusing on advancing additive manufacturing through research and collaboration with industry partners.
Résumé
This book provides an in-depth exploration of process planning steps required for Directed Energy Deposition (DED) processes and their automation during the data preparation stage. DED is a resource-efficient, tool-less manufacturing method with high deposition rates and larger build volumes. Their flexibility, enabled by 6-axis industrial robots, allows fabrication of complex geometries, but poses challenges in data preparation and build strategy definition due to software limitations and lack of standards. This thesis thereby deals with the development of a STEP file format-based slicing framework with toolpath generation algorithms specific to build geometries clustered under six categories. Thin-wall components cluster, an important part category in the aerospace sector, is being further examined because of its industrial relevance.
