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An Introduction to the Methodology of Quality Monitoring of Zinc Alloy Castings Produced by HPDC in Additively Manufactured Shaped Mould Parts 浅谈在快速成型模具零件中采用 HPDC 生产锌合金铸件的质量监测方法
MM 2023 Pub Date : 2024-04-02 DOI: 10.3390/engproc2024064016
K. Koza, K. Gryc, L. Socha, Martin Pinta, Roman Kubeš, V. Sochacký, Adnan Mohamed, J. Trobl
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引用次数: 0
Optimizing Pig Iron Desulfurization Using Physics-Informed Neural Networks (PINNs) 利用物理信息神经网络 (PINN) 优化生铁脱硫过程
MM 2023 Pub Date : 2024-02-21 DOI: 10.3390/engproc2024064003
Andrii Pylypenko, P. Demeter, B. Buľko, Slavomír Hubatka, Lukáš Fogaraš, Jaroslav Legemza, J. Demeter
{"title":"Optimizing Pig Iron Desulfurization Using Physics-Informed Neural Networks (PINNs)","authors":"Andrii Pylypenko, P. Demeter, B. Buľko, Slavomír Hubatka, Lukáš Fogaraš, Jaroslav Legemza, J. Demeter","doi":"10.3390/engproc2024064003","DOIUrl":"https://doi.org/10.3390/engproc2024064003","url":null,"abstract":": The aim of the presented research was to optimize a pig iron desulfurization process through data-driven machine learning methods. Utilizing historical data, chemical analysis of pig iron and slag, and the thermodynamics of the process including simulations of the chemical reactions between individual phases, a neural network was trained for the predictive modeling of desulfurization efficiency. The accuracy of the model was enhanced by integrating Physics-Informed Neural Networks (PINNs), which incorporate chemical reaction principles. The results show better performance of PINNs in comparison to the Feedforward Neural Network (FNN) in the generalization of the desulfurization process, bringing better reliability to the model.","PeriodicalId":518766,"journal":{"name":"MM 2023","volume":"23 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140527828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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