H. Kansara, G. Koh, M. Varghese, John Z. X. Luk, E. Gómez, Siddhant Kumar, Han Zhang, Emilio Mart'inez-Paneda, Wei Tan
{"title":"Data-driven modelling of scalable spinodoid structures for energy absorption","authors":"H. Kansara, G. Koh, M. Varghese, John Z. X. Luk, E. Gómez, Siddhant Kumar, Han Zhang, Emilio Mart'inez-Paneda, Wei Tan","doi":"10.17028/RD.LBORO.14588484.V1","DOIUrl":null,"url":null,"abstract":"The project aims to explore a novel way to design and produce cellular materials with good energy\nabsorption and recoverability properties. Spinodoid structures offer an alternative to engineering\nstructures such as honeycombs and foam with scalability ensuring microscale benefits are reaped\non a larger scale. Various materials and topologies have been utilised for numerical modeling\nand prototyping through additive manufacturing. Each design was evaluated using finite element\nmodelling. Initial results from numerical models show anisotropic structures achieving high energy\nabsorption efficiency. Through data-driven optimisation, results show a peak energy absorption\nvalue of 5.34 MJ/m3\nfor anisotropic columnar structure. A physics-informed biased grid-search\noptimisation is faster due to parameters being explored in parallel. To validate the numerical\nmodel, compressive tests on various prototypes were conducted.","PeriodicalId":8423,"journal":{"name":"arXiv: Applied Physics","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Applied Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17028/RD.LBORO.14588484.V1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The project aims to explore a novel way to design and produce cellular materials with good energy
absorption and recoverability properties. Spinodoid structures offer an alternative to engineering
structures such as honeycombs and foam with scalability ensuring microscale benefits are reaped
on a larger scale. Various materials and topologies have been utilised for numerical modeling
and prototyping through additive manufacturing. Each design was evaluated using finite element
modelling. Initial results from numerical models show anisotropic structures achieving high energy
absorption efficiency. Through data-driven optimisation, results show a peak energy absorption
value of 5.34 MJ/m3
for anisotropic columnar structure. A physics-informed biased grid-search
optimisation is faster due to parameters being explored in parallel. To validate the numerical
model, compressive tests on various prototypes were conducted.