Development of a Machine Learning Based Fast Running Model to Determine Rapidly the Process Conditions in Drawing Process
| العنوان: | Development of a Machine Learning Based Fast Running Model to Determine Rapidly the Process Conditions in Drawing Process |
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| المؤلفون: | Youngseog Lee, Donghyuk Cho |
| المصدر: | International Journal of Automotive Technology. 20:9-17 |
| بيانات النشر: | Springer Science and Business Media LLC, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Artificial neural network, Computer science, 020209 energy, 02 engineering and technology, Python (programming language), Finite element method, Process conditions, 020303 mechanical engineering & transports, 0203 mechanical engineering, Automotive Engineering, 0202 electrical engineering, electronic engineering, information engineering, computer, Contact pressure, Simulation, computer.programming_language |
| الوصف: | This study proposes a fast running model that interconnects input and output data for a single-pass cold bar drawing process through the use of Artificial Neural Network (ANN) and automatically generated a large volume of elastic-plastic finite element (FE) analysis results. The prediction accuracy of the FE analysis was verified by comparing the FE analysis with measurements from a drawing experiment. A Python-based script that automatically controls ABAQUS was coded to sequentially produce output data that varies according to the input data, which is a combination of 18 grades of steel and 1,000 process conditions. The ANN was trained using input and output data, and then a nine-dimensional fast running model was developed. The fast running model predicted the values of output variables (drawing force, strain at the center, strain on the surface, accumulated damage at the center, contact pressure, and the fracture (or non-fracture) of the material) in 0.1 second no matter how the mechanical properties of the steels and process conditions change. With this fast running model, engineers in the drawing industry can easily determine or modify the process conditions to improve productivity and product quality even when a grade of steel that has never been employed before is drawn. |
| تدمد: | 1976-3832 1229-9138 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::a0dbcfde6f452cb5489e964e4330935d https://doi.org/10.1007/s12239-019-0123-7 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........a0dbcfde6f452cb5489e964e4330935d |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 19763832 12299138 |
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