{"isi":1,"acknowledgement":"We wish to thank the anonymous reviewers for their helpful comments. To develop this project, we were helped by many people both at Under Armour (Clay Dean, Randall Harward, Kyle Blakely, Craig Simile, Michael Seiz, Brooke Malone, Brittainy McFarland, Emilie Phan, Lindsey Kern, Courtney Oswald, Haley Barkley, Bob Chin, Adam Bayer, Connie Kwok, Marielle Newman, Nick Pence, Allison Hicks, Allison White, Candace Rubenstein, Jeremy Stangland, Fred Fagergren, Michael Mazzoleni, Nathaniel Berry, Manuel Frank) and SEDDI (Gabriel Cirio, Alejandro Rodríguez, Sofía Dominguez, Alicia Nicas, Elena Garcés, Daniel Rodríguez, David Pascual, Manuel Godoy, Sergio Suja, Sergio Ruiz, Roberto Condori, Alberto Martín, Graham Sullivan). We also thank the members of the Visual Computing Group at IST Austria and the Multimodal Simulation Lab at URJC for their feedback. This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing, and it was funded in part by the European Research Council (ERC Consolidator Grant 772738 TouchDesign).","intvolume":" 41","volume":41,"year":"2022","acknowledged_ssus":[{"_id":"ScienComp"}],"article_type":"original","citation":{"ama":"Sperl G, Sánchez-Banderas RM, Li M, Wojtan C, Otaduy MA. Estimation of yarn-level simulation models for production fabrics. ACM Transactions on Graphics. 2022;41(4). doi:10.1145/3528223.3530167","chicago":"Sperl, Georg, Rosa M. Sánchez-Banderas, Manwen Li, Chris Wojtan, and Miguel A. Otaduy. “Estimation of Yarn-Level Simulation Models for Production Fabrics.” ACM Transactions on Graphics. Association for Computing Machinery, 2022. https://doi.org/10.1145/3528223.3530167.","ista":"Sperl G, Sánchez-Banderas RM, Li M, Wojtan C, Otaduy MA. 2022. Estimation of yarn-level simulation models for production fabrics. ACM Transactions on Graphics. 41(4), 65.","apa":"Sperl, G., Sánchez-Banderas, R. M., Li, M., Wojtan, C., & Otaduy, M. A. (2022). Estimation of yarn-level simulation models for production fabrics. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3528223.3530167","short":"G. Sperl, R.M. Sánchez-Banderas, M. Li, C. Wojtan, M.A. Otaduy, ACM Transactions on Graphics 41 (2022).","mla":"Sperl, Georg, et al. “Estimation of Yarn-Level Simulation Models for Production Fabrics.” ACM Transactions on Graphics, vol. 41, no. 4, 65, Association for Computing Machinery, 2022, doi:10.1145/3528223.3530167.","ieee":"G. Sperl, R. M. Sánchez-Banderas, M. Li, C. Wojtan, and M. A. Otaduy, “Estimation of yarn-level simulation models for production fabrics,” ACM Transactions on Graphics, vol. 41, no. 4. Association for Computing Machinery, 2022."},"language":[{"iso":"eng"}],"_id":"11736","article_number":"65","doi":"10.1145/3528223.3530167","author":[{"full_name":"Sperl, Georg","id":"4DD40360-F248-11E8-B48F-1D18A9856A87","first_name":"Georg","last_name":"Sperl"},{"first_name":"Rosa M.","last_name":"Sánchez-Banderas","full_name":"Sánchez-Banderas, Rosa M."},{"full_name":"Li, Manwen","last_name":"Li","first_name":"Manwen"},{"orcid":"0000-0001-6646-5546","last_name":"Wojtan","first_name":"Christopher J","full_name":"Wojtan, Christopher J","id":"3C61F1D2-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Otaduy, Miguel A.","last_name":"Otaduy","first_name":"Miguel A."}],"publication":"ACM Transactions on Graphics","external_id":{"isi":["000830989200114"]},"publication_identifier":{"eissn":["1557-7368"],"issn":["0730-0301"]},"quality_controlled":"1","title":"Estimation of yarn-level simulation models for production fabrics","related_material":{"record":[{"id":"12358","relation":"dissertation_contains","status":"public"}],"link":[{"description":"News on the ISTA website","relation":"press_release","url":"https://ista.ac.at/en/news/digital-yarn-real-socks/"}]},"status":"public","oa":1,"oa_version":"Published Version","date_created":"2022-08-07T22:01:58Z","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","publisher":"Association for Computing Machinery","scopus_import":"1","date_published":"2022-07-22T00:00:00Z","publication_status":"published","issue":"4","department":[{"_id":"ChWo"}],"abstract":[{"text":"This paper introduces a methodology for inverse-modeling of yarn-level mechanics of cloth, based on the mechanical response of fabrics in the real world. We compiled a database from physical tests of several different knitted fabrics used in the textile industry. These data span different types of complex knit patterns, yarn compositions, and fabric finishes, and the results demonstrate diverse physical properties like stiffness, nonlinearity, and anisotropy.\r\n\r\nWe then develop a system for approximating these mechanical responses with yarn-level cloth simulation. To do so, we introduce an efficient pipeline for converting between fabric-level data and yarn-level simulation, including a novel swatch-level approximation for speeding up computation, and some small-but-necessary extensions to yarn-level models used in computer graphics. The dataset used for this paper can be found at http://mslab.es/projects/YarnLevelFabrics.","lang":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1145/3528223.3530167","open_access":"1"}],"type":"journal_article","day":"22","month":"07","article_processing_charge":"No","date_updated":"2023-08-03T12:38:30Z"}