Prediction of Machining Condition Using Time Series Imaging and Deep Learning in Slot Milling of Titanium Alloy
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| Author: | Faramarz Hojati, Bahman AzarhoushangORCiDGND, Amir DaneshiGND, Rostam Hajyaghaee Khiabani |
|---|---|
| URN: | https://urn:nbn:de:bsz:fn1-opus4-90338 |
| DOI: | https://doi.org/10.3390/jmmp6060145 |
| ISSN: | 2504-4494 |
| Parent Title (English): | Journal of Manufacturing and Materials Processing |
| Document Type: | Article (peer-reviewed) |
| Language: | English |
| Year of Completion: | 2022 |
| Release Date: | 2023/01/13 |
| Tag: | Convolutional neural network; Deep learning; Gramian angular field; Predictive quality analytics; Slot milling |
| Volume: | 6.2022 |
| Issue: | 6 |
| Article Number: | 145 |
| Page Number: | 19 |
| Open-Access-Status: | Open Access |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |