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Automated Evaluation of Melt Pool Compensated Geometries in Powder Bed Fusion Additive Manufacturing
University West, Department of Engineering Science.
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Additive manufacturing has revolutionized production methods across industries such as medical, aerospace, and design, offering unparalleled versatility in fabricating intricate geometries. Among the various techniques employed in this realm, Electron Beam Melting (EBM) stands out for its exceptional precision and efficiency as it utilizes a layer-by-layer printing approach, where each layer is precisely fused together using an electron beam. This technique allows for the creation of highly complex components with minimal material waste.

In the initial stages of the manufacturing process, Computer-Aided Design (CAD) files are utilized as input, which undergoes parameter compensation to ensure optimal printing conditions. These files are then converted into the Standard Tessellation Language (STL) format, facilitating the slicing and generation of polygons that define the geometry of the final product.

However, the main focus of this thesis lies in the post-slicing stage, where the polygons are further compensated based on certain parameters that have been discussed in the literature study and was not so explored previously. This process aims to automate the evaluation of compensated geometry using the metrics and record the results for comparative analysis. By standardizing this compensation process, manufacturers can achieve greater consistency and efficiency in their additive manufacturing operations, paving the way for advancements in various industries

Place, publisher, year, edition, pages
2024. , p. 48
Keywords [en]
Layer-wise powder bed additive manufacturing, 2D geometries, tool compensation strategies, software development, additive manufacturing technologies
National Category
Robotics and automation
Identifiers
URN: urn:nbn:se:hv:diva-22071Local ID: EXC915OAI: oai:DiVA.org:hv-22071DiVA, id: diva2:1877960
Subject / course
Robotics
Educational program
Master i robotik och automation
Supervisors
Examiners
Available from: 2024-06-26 Created: 2024-06-26 Last updated: 2025-09-30Bibliographically approved

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CiteExportLink to record
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