{"date_updated":"2022-08-24T12:52:06Z","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>Heated tool butt welding is a method often used for joining thermoplastics, especially when the components are made out of different materials. The quality of the connection between the components crucially depends on a suitable choice of the parameters of the welding process, such as heating time, temperature, and the precise way how the parts are then welded. Moreover, when different materials are to be joined, the parameter values need to be tailored to the specifics of the respective material. To this end, in this paper, three approaches to tailor the parameter values to optimize the quality of the connection are compared: a heuristic by Potente, statistical experimental design, and Bayesian optimization. With the suitability for practice in mind, a series of experiments are carried out with these approaches, and their capabilities of proposing well-performing parameter values are investigated. As a result, Bayesian optimization is found to yield peak performance, but the costs for optimization are substantial. In contrast, the Potente heuristic does not require any experimentation and recommends parameter values with competitive quality.</jats:p>"}],"publication":"Welding in the World","title":"A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials","publication_identifier":{"issn":["0043-2288","1878-6669"]},"user_id":"38209","year":"2022","author":[{"full_name":"Gevers, Karina","last_name":"Gevers","id":"83151","first_name":"Karina"},{"last_name":"Tornede","full_name":"Tornede, Alexander","first_name":"Alexander","id":"38209"},{"id":"33176","first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818"},{"full_name":"Schöppner, Volker","last_name":"Schöppner","first_name":"Volker","id":"20530"},{"first_name":"Eyke","id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"status":"public","_id":"33090","publication_status":"published","doi":"10.1007/s40194-022-01339-9","date_created":"2022-08-24T12:51:07Z","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B2: SFB 901 - Subproject B2","_id":"10"}],"citation":{"mla":"Gevers, Karina, et al. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.” <i>Welding in the World</i>, Springer Science and Business Media LLC, 2022, doi:<a href=\"https://doi.org/10.1007/s40194-022-01339-9\">10.1007/s40194-022-01339-9</a>.","chicago":"Gevers, Karina, Alexander Tornede, Marcel Dominik Wever, Volker Schöppner, and Eyke Hüllermeier. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.” <i>Welding in the World</i>, 2022. <a href=\"https://doi.org/10.1007/s40194-022-01339-9\">https://doi.org/10.1007/s40194-022-01339-9</a>.","apa":"Gevers, K., Tornede, A., Wever, M. D., Schöppner, V., &#38; Hüllermeier, E. (2022). A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. <i>Welding in the World</i>. <a href=\"https://doi.org/10.1007/s40194-022-01339-9\">https://doi.org/10.1007/s40194-022-01339-9</a>","short":"K. Gevers, A. Tornede, M.D. Wever, V. Schöppner, E. Hüllermeier, Welding in the World (2022).","bibtex":"@article{Gevers_Tornede_Wever_Schöppner_Hüllermeier_2022, title={A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials}, DOI={<a href=\"https://doi.org/10.1007/s40194-022-01339-9\">10.1007/s40194-022-01339-9</a>}, journal={Welding in the World}, publisher={Springer Science and Business Media LLC}, author={Gevers, Karina and Tornede, Alexander and Wever, Marcel Dominik and Schöppner, Volker and Hüllermeier, Eyke}, year={2022} }","ieee":"K. Gevers, A. Tornede, M. D. Wever, V. Schöppner, and E. Hüllermeier, “A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials,” <i>Welding in the World</i>, 2022, doi: <a href=\"https://doi.org/10.1007/s40194-022-01339-9\">10.1007/s40194-022-01339-9</a>.","ama":"Gevers K, Tornede A, Wever MD, Schöppner V, Hüllermeier E. A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. <i>Welding in the World</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1007/s40194-022-01339-9\">10.1007/s40194-022-01339-9</a>"},"type":"journal_article","keyword":["Metals and Alloys","Mechanical Engineering","Mechanics of Materials"],"publisher":"Springer Science and Business Media LLC"}