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Process-Specific Topology Optimization Method Based on Laser-Based Additive Manufacturing of AlSi10Mg Components: Material Characterization and Evaluation
- Source :
- Processes, 11 (3), 648, Processes, Volume 11, Issue 3, Pages: 648
- Publication Year :
- 2023
- Publisher :
- MDPI, 2023.
-
Abstract
- In the laser powder bed fusion process (PBF-LB), components are built up incrementally by locally melting metal powder with a laser beam. This process leads to inhomogeneous material properties of the manufactured components. By integrating these specific material properties into a topology optimization algorithm, product developers can be supported in the early phases of the product development process, such as design finding. For this purpose, a topology optimization method was developed, which takes the inhomogeneous material properties of components fabricated in the PBF-LB process into account. The complex pore architecture in PBF-LB components was studied with micro-computed tomography (µCT). Thereby, three characteristic regions of different porosity were identified and analyzed. The effective stiffness in each of these regions was determined by means of resonant ultrasonic spectroscopy (RUS) as well as finite element analysis. Afterward, the effective stiffness is iteratively considered in the developed topology optimization method. The resulting design proposals of two optimization cases were analyzed and compared to design proposals derived from a standard topology optimization. To evaluate the developed topology optimization method, the derived design proposals were additionally manufactured in the PBF-LB process, and the characteristic pore architecture was analyzed by means of µCT.
- Subjects :
- design finding
laser powder bed fusion
porosity
resonant ultrasound spectroscopy
Process Chemistry and Technology
Chemical Engineering (miscellaneous)
Bioengineering
finite element analysis
micro-computed tomography
ddc:620
product development
topology optimization
Engineering & allied operations
Subjects
Details
- Language :
- English
- ISSN :
- 22279717
- Database :
- OpenAIRE
- Journal :
- Processes, 11 (3), 648, Processes, Volume 11, Issue 3, Pages: 648
- Accession number :
- edsair.doi.dedup.....b25fa2c81eb42958b5d76cab449976b9