Cellular Scanning Strategy for Selective Laser Melting : Capturing Thermal Trends with a Low-Fidelity, Pseudo-Analytical Model
Joint Authors
Hattel, Jesper
Mohanty, Sankhya
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-18
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Simulations of additive manufacturing processes are known to be computationally expensive.
The resulting large runtimes prohibit their application in secondary analysis requiring several complete simulations such as optimization studies, and sensitivity analysis.
In this paper, a low-fidelity pseudo-analytical model has been introduced to enable such secondary analysis.
The model has been able to mimic a finite element model and was able to capture the thermal trends associated with the process.
The model has been validated and subsequently applied in a small optimization case study.
The pseudo-analytical modelling technique is established as a fast tool for primary modelling investigations.
American Psychological Association (APA)
Mohanty, Sankhya& Hattel, Jesper. 2014. Cellular Scanning Strategy for Selective Laser Melting : Capturing Thermal Trends with a Low-Fidelity, Pseudo-Analytical Model. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-492765
Modern Language Association (MLA)
Mohanty, Sankhya& Hattel, Jesper. Cellular Scanning Strategy for Selective Laser Melting : Capturing Thermal Trends with a Low-Fidelity, Pseudo-Analytical Model. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-492765
American Medical Association (AMA)
Mohanty, Sankhya& Hattel, Jesper. Cellular Scanning Strategy for Selective Laser Melting : Capturing Thermal Trends with a Low-Fidelity, Pseudo-Analytical Model. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-492765
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492765