Academic Journal
On efficiency and effectiveness of finite volume method for thermal analysis of selective laser melting.
| Τίτλος: | On efficiency and effectiveness of finite volume method for thermal analysis of selective laser melting. |
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| Συγγραφείς: | Wang, Jin, Wang, Yi, Shi, Jing |
| Πηγή: | Engineering Computations; 2020, Vol. 37 Issue 6, p2155-2175, 21p |
| Θεματικοί όροι: | Finite volume method, Thermal analysis, Finite element method, Laser beams, Lasers |
| Περίληψη: | Purpose: Selective laser melting (SLM) is a major additive manufacturing (AM) process in which laser beams are used as the heat source to melt and deposit metals in a layerwise fashion to enable the construction of components of arbitrary complexity. The purpose of this paper is to develop a framework for accurate and fast prediction of the temperature distribution during the SLM process. Design/methodology/approach: A fast computation tool is proposed for thermal analysis of the SLM process. It is based on the finite volume method (FVM) and the quiet element method to allow the development of customized functionalities at the source level. The results obtained from the proposed FVM approach are compared against those obtained from the finite element method (FEM) using a well-established commercial software, in terms of accuracy and efficiency. Findings: The results show that for simulating the SLM deposition of a cubic block with 81,000, 189,000 and 297,000 cells, the computation takes about 767, 3,041 and 7,054 min, respectively, with the FEM approach; while 174, 679 and 1,630 min with the FVM code. This represents a speedup of around 4.4x. Meanwhile, the average temperature difference between the two is below 6%, indicating good agreement between them. Originality/value: The thermal field for the multi-track and multi-layer SLM process is for the first time computed by the FVM approach. This pioneering work on comparing FVM and FEM for SLM applications implies that a fast and simple computing tool for thermal analysis of the SLM process is within the reach, and it delivers comparable accuracy with significantly higher computational efficiency. The research results lay the foundation for a potentially cost-effective tool for investigating the fundamental microstructure evolution, and also optimizing the process parameters in the SLM process. [ABSTRACT FROM AUTHOR] |
| Copyright of Engineering Computations is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 CustomLinks: – Url: https://www.emerald.com/insight/content/doi/10.1108/EC-03-2019-0106 Name: Emerald Insight (All Content) (s7799221) Category: fullText Text: View full text at Emerald MouseOverText: View full text at Emerald |
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| Header | DbId: edb DbLabel: Complementary Index An: 143360520 RelevancyScore: 900 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 899.616333007813 |
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| Items | – Name: Title Label: Title Group: Ti Data: On efficiency and effectiveness of finite volume method for thermal analysis of selective laser melting. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Jin%22">Wang, Jin</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yi%22">Wang, Yi</searchLink><br /><searchLink fieldCode="AR" term="%22Shi%2C+Jing%22">Shi, Jing</searchLink> – Name: TitleSource Label: Source Group: Src Data: Engineering Computations; 2020, Vol. 37 Issue 6, p2155-2175, 21p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Finite+volume+method%22">Finite volume method</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+analysis%22">Thermal analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Laser+beams%22">Laser beams</searchLink><br /><searchLink fieldCode="DE" term="%22Lasers%22">Lasers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Selective laser melting (SLM) is a major additive manufacturing (AM) process in which laser beams are used as the heat source to melt and deposit metals in a layerwise fashion to enable the construction of components of arbitrary complexity. The purpose of this paper is to develop a framework for accurate and fast prediction of the temperature distribution during the SLM process. Design/methodology/approach: A fast computation tool is proposed for thermal analysis of the SLM process. It is based on the finite volume method (FVM) and the quiet element method to allow the development of customized functionalities at the source level. The results obtained from the proposed FVM approach are compared against those obtained from the finite element method (FEM) using a well-established commercial software, in terms of accuracy and efficiency. Findings: The results show that for simulating the SLM deposition of a cubic block with 81,000, 189,000 and 297,000 cells, the computation takes about 767, 3,041 and 7,054 min, respectively, with the FEM approach; while 174, 679 and 1,630 min with the FVM code. This represents a speedup of around 4.4x. Meanwhile, the average temperature difference between the two is below 6%, indicating good agreement between them. Originality/value: The thermal field for the multi-track and multi-layer SLM process is for the first time computed by the FVM approach. This pioneering work on comparing FVM and FEM for SLM applications implies that a fast and simple computing tool for thermal analysis of the SLM process is within the reach, and it delivers comparable accuracy with significantly higher computational efficiency. The research results lay the foundation for a potentially cost-effective tool for investigating the fundamental microstructure evolution, and also optimizing the process parameters in the SLM process. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Engineering Computations is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1108/EC-03-2019-0106 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 2155 Subjects: – SubjectFull: Finite volume method Type: general – SubjectFull: Thermal analysis Type: general – SubjectFull: Finite element method Type: general – SubjectFull: Laser beams Type: general – SubjectFull: Lasers Type: general Titles: – TitleFull: On efficiency and effectiveness of finite volume method for thermal analysis of selective laser melting. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Jin – PersonEntity: Name: NameFull: Wang, Yi – PersonEntity: Name: NameFull: Shi, Jing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 02644401 Numbering: – Type: volume Value: 37 – Type: issue Value: 6 Titles: – TitleFull: Engineering Computations Type: main |
| ResultId | 1 |