Metal Laser-Based Powder Bed Fusion Process Development Using Optical Tomography

Author:

Björkstrand Roy1ORCID,Akmal Jan12ORCID,Salmi Mika1ORCID

Affiliation:

1. Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Espoo, Finland

2. EOS Metal Materials, Electro Optical Systems Finland Oy, Lemminkäisenkatu 36, 20520 Turku, Finland

Abstract

In this study, a set of 316 L stainless steel test specimens was additively manufactured by laser-based Powder Bed Fusion. The process parameters were varied for each specimen in terms of laser scan speed and laser power. The objective was to use a narrow band of parameters well inside the process window, demonstrating detailed parameter engineering for specialized additive manufacturing cases. The process variation was monitored using Optical Tomography to capture light emissions from the layer surfaces. Process emission values were stored in a statistical form. Micrographs were prepared and analyzed for defects using optical microscopy and image manipulation. The results of two data sources were compared to find correlations between lack of fusion, porosity, and layer-based energy emissions. A data comparison of Optical Tomography data and micrograph analyses shows that Optical Tomography can partially be used independently to develop new process parameters. The data show that the number of critical defects increases when the average Optical Tomography grey value passes a certain threshold. This finding can contribute to accelerating manufacturing parameter development and help meet the industrial need for agile component-specific parameter development.

Publisher

MDPI AG

Reference44 articles.

1. Switchover to industrial additive manufacturing: Dynamic decision-making for problematic spare parts;Akmal;Int. J. Oper. Prod. Manag.,2022

2. Roadmap for Additive Manufacturing: Toward Intellectualization and Industrialization;Tian;Chin. J. Mech. Eng. Addit. Manuf. Front.,2022

3. Wohlers Associates (2023). 3D Printing and Additive Manufacturing—Global State of the Industry, Wohlers Associates.

4. On productivity of laser additive manufacturing;Gusarov;J. Am. Acad. Dermatol.,2018

5. Opportunities and challenges of quality engineering for additive manufacturing;Colosimo;J. Qual. Technol.,2018

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