{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T01:51:02Z","timestamp":1779933062230,"version":"3.53.1"},"reference-count":17,"publisher":"ASME International","issue":"2","license":[{"start":{"date-parts":[[2019,12,11]],"date-time":"2019-12-11T00:00:00Z","timestamp":1576022400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.asme.org\/publications-submissions\/publishing-information\/legal-policies"}],"content-domain":{"domain":["asmedigitalcollection.asme.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>3D printing has been extensively used for rapid prototyping as well as low-volume production in aerospace, automotive, and medical industries. However, conventional manufacturing processes (i.e., injection molding and CNC machining) are more economical than 3D printing for high-volume mass production. In addition, current 3D printing techniques are not capable of fabricating large components due to the limited build size of commercially available 3D printers. To increase 3D printing throughput and build volume, a novel cooperative 3D printing technique has been recently introduced. Cooperative 3D printing is an additive manufacturing process where individual mobile 3D printers collaborate on printing a part simultaneously, thereby increasing printing speed and build volume. While cooperative 3D printing has the potential to fabricate larger components more efficiently, the mechanical properties of the components fabricated by cooperative 3D printing have not been systematically characterized. This paper aims to develop a data-driven predictive model that predicts the tensile strength of the components fabricated by cooperative 3D printing. Experimental results have shown that the predictive model is capable of predicting tensile strength as well as identifying the significant factors that affect the tensile strength.<\/jats:p>","DOI":"10.1115\/1.4045290","type":"journal-article","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T07:02:09Z","timestamp":1571986929000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":27,"title":["Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing"],"prefix":"10.1115","volume":"20","author":[{"given":"Ziyang","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laxmi","family":"Poudel","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR 72701;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenghui","family":"Sha","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR 72701"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenchao","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR 72701"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dazhong","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"33","published-online":{"date-parts":[[2019,12,11]]},"reference":[{"issue":"1","key":"2021022706141425000_CIT0001","doi-asserted-by":"crossref","first-page":"36212","DOI":"10.1038\/srep36212","article-title":"Big Area Additive Manufacturing of High Performance Bonded NdFeB Magnets","volume":"6","author":"Li","year":"2016","journal-title":"Sci. Rep."},{"issue":"1","key":"2021022706141425000_CIT0002","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1108\/RPJ-12-2015-0183","article-title":"Structure and Mechanical Behavior of Big Area Additive Manufacturing (BAAM) Materials","volume":"23","author":"Duty","year":"2017","journal-title":"Rapid Prototyping J."},{"issue":"9","key":"2021022706141425000_CIT0003","doi-asserted-by":"crossref","first-page":"1436","DOI":"10.1108\/RPJ-07-2017-0150","article-title":"A Chunk-Based Slicer for Cooperative 3D Printing","volume":"24","author":"McPherson","year":"2018","journal-title":"Rapid Prototyping J."},{"key":"2021022706141425000_CIT0004","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1016\/j.compstruct.2016.07.018","article-title":"Evaluation and Prediction of the Tensile Properties of Continuous Fiber-Reinforced 3D Printed Structures","volume":"153","author":"Melenka","year":"2016","journal-title":"Compos. Struct."},{"key":"2021022706141425000_CIT0005","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.actamat.2017.05.025","article-title":"Predicting Tensile Properties of Ti-6Al-4V Produced Via Directed Energy Deposition","volume":"133","author":"Hayes","year":"2017","journal-title":"Acta Mater."},{"key":"2021022706141425000_CIT0006","first-page":"282","article-title":"Prediction of Porosity in Metal-Based Additive Manufacturing Using Spatial Gaussian Process Models","volume":"12","author":"Tapia","year":"2016","journal-title":"Addit. Manuf."},{"key":"2021022706141425000_CIT0007","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1016\/j.matdes.2013.01.071","article-title":"Mechanical Properties of Open-Cell Metallic Biomaterials Manufactured Using Additive Manufacturing","volume":"49","author":"Campoli","year":"2013","journal-title":"Mater. Des."},{"key":"2021022706141425000_CIT0008","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.commatsci.2016.10.003","article-title":"An Improved Prediction of Residual Stresses and Distortion in Additive Manufacturing","volume":"126","author":"Mukherjee","year":"2017","journal-title":"Comput. Mater. Sci."},{"key":"2021022706141425000_CIT0009","first-page":"962","article-title":"Mechanical Strength of Chunk-Based Printed Parts for Cooperative 3D Printing","volume":"26","author":"Poudel","year":"2018","journal-title":"Proc. Manuf."},{"key":"2021022706141425000_CIT0010","first-page":"4493","article-title":"3D Printing with Flying Robots","author":"Hunt","year":"2014"},{"issue":"1","key":"2021022706141425000_CIT0011","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression Shrinkage and Selection via the Lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J. Royal Stat. Soc.: Series B (Methodological)"},{"key":"2021022706141425000_CIT0012","volume-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"2013"},{"key":"2021022706141425000_CIT0013","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/S0925-2312(02)00601-X","article-title":"Evaluation of Simple Performance Measures for Tuning SVM Hyperparameters","volume":"51","author":"Duan","year":"2003","journal-title":"Neurocomputing"},{"key":"2021022706141425000_CIT0014","first-page":"785","article-title":"Xgboost: A Scalable Tree Boosting System","author":"Chen","year":"2016"},{"issue":"53","key":"2021022706141425000_CIT0015","first-page":"1","article-title":"Tunability: Importance of Hyperparameters of Machine Learning Algorithms","volume":"20","author":"Probst","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"2021022706141425000_CIT0016","volume-title":"ASTM D638-14, Standard Test Method for Tensile Properties of Plastics","author":"International","year":"2015"},{"key":"2021022706141425000_CIT0017","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2012.10.039","article-title":"Using Sensitivity Analysis and Visualization Techniques to Open Black box Data Mining Models","volume":"225","author":"Cortez","year":"2013","journal-title":"Inf. Sci."}],"container-title":["Journal of Computing and Information Science in Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/asmedigitalcollection.asme.org\/computingengineering\/article-pdf\/doi\/10.1115\/1.4045290\/6648118\/jcise_20_2_021002.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/asmedigitalcollection.asme.org\/computingengineering\/article-pdf\/doi\/10.1115\/1.4045290\/6648118\/jcise_20_2_021002.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T18:06:45Z","timestamp":1721930805000},"score":1,"resource":{"primary":{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article\/doi\/10.1115\/1.4045290\/1066029\/Data-Driven-Predictive-Modeling-of-Tensile"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,11]]},"references-count":17,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,4,1]]}},"URL":"https:\/\/doi.org\/10.1115\/1.4045290","relation":{},"ISSN":["1530-9827","1944-7078"],"issn-type":[{"value":"1530-9827","type":"print"},{"value":"1944-7078","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,11]]},"article-number":"021002"}}