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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.17507 |
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| _version_ | 1866912660681916416 |
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| author | Pietrak, Karol Muszyński, Radosław Marek, Adam Łapka, Piotr |
| author_facet | Pietrak, Karol Muszyński, Radosław Marek, Adam Łapka, Piotr |
| contents | Results are presented for the numerical verification of a method devised to identify an unknown spatio-temporal distribution of heat flux that occurs at the surface of thin aluminum plate, as a result of pulsed, high-power laser beam excitation. The presented identification of boundary heat flux function is a part of newly-proposed laser beam profiling method and utilizes artificial neural networks trained on temperature distributions generated with the ANSYS Fluent solver. The paper focuses on the selection of the most effective neural network hyperparameters (Keras, Tensorflow) and compares the results of neural network identification with Levenberg-Marquardt method used earlier and discussed in our previous articles. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_17507 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Performance of artificial neural networks in an inverse problem of laser beam diagnostics Pietrak, Karol Muszyński, Radosław Marek, Adam Łapka, Piotr Computational Physics Applied Physics Results are presented for the numerical verification of a method devised to identify an unknown spatio-temporal distribution of heat flux that occurs at the surface of thin aluminum plate, as a result of pulsed, high-power laser beam excitation. The presented identification of boundary heat flux function is a part of newly-proposed laser beam profiling method and utilizes artificial neural networks trained on temperature distributions generated with the ANSYS Fluent solver. The paper focuses on the selection of the most effective neural network hyperparameters (Keras, Tensorflow) and compares the results of neural network identification with Levenberg-Marquardt method used earlier and discussed in our previous articles. |
| title | Performance of artificial neural networks in an inverse problem of laser beam diagnostics |
| topic | Computational Physics Applied Physics |
| url | https://arxiv.org/abs/2510.17507 |