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Preprint: Optimizing Computational Efficiency in TPMS Structural Design through Surrogate Modeling

  • This paper introduces a surrogate modeling approach for simulating Triply Periodic Minimal Surfaces (TPMS), which can be used in various engineering applications due to their unique geometric, mechanical properties and light weight properties as a second hierarchy level below the component design level. The detailed finite element analysis of theses structure in components, require inten- siveThis paper introduces a surrogate modeling approach for simulating Triply Periodic Minimal Surfaces (TPMS), which can be used in various engineering applications due to their unique geometric, mechanical properties and light weight properties as a second hierarchy level below the component design level. The detailed finite element analysis of theses structure in components, require inten- sive computational resources due to the complex geometries of TPMS. To address these challenges, we propose a surrogate model that simplifies the geometric and mechanical representation of TPMS, enabling more effcient simulations without compromising accuracy. This model was validated against experimental data from bending tests performed on TPMS structures fabricated using additive manufac- turing techniques. The surrogate model demonstrated excellent agreement with experimental results, offering a promising tool for the rapid and effcient design of TPMS-based components. The model’s utility is underscored by its application in predicting the mechanical behavior of TPMS structures under various loading conditions, confirming its potential for broader adoption in engineering design processes.show moreshow less

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Metadaten
Document Type:Article (unreviewed)
Zitierlink: https://opus.hs-offenburg.de/10529
Bibliografische Angaben
Title (English):Preprint: Optimizing Computational Efficiency in TPMS Structural Design through Surrogate Modeling
Author:Thitichai JanphengStaff Member, Jörg LienhardStaff MemberORCiDGND, Timo Schweiger
Year of Publication:2025
Date of first Publication:2025/03/28
First Page:1
Last Page:21
Parent Title (English):Research Square
ISSN:2693-5015
DOI:https://doi.org/10.21203/rs.3.rs-6210868/v1
Language:English
Inhaltliche Informationen
Institutes:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Collections of the Offenburg University:Bibliografie
Tag:Additive manufacturing; Compression test; Surogate modelling; TPMS
Formale Angaben
Relevance for "Jahresbericht über Forschungsleistungen":Keine Relevanz
Open Access: Open Access 
 Diamond 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International