Knowledge-Based Adaptive Design of Experiments (KADoE) for Grinding Process Optimization Using an Expert System in the Context of Industry 4.0
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| Document Type: | Article (peer-reviewed) |
|---|---|
| Author: | Saman Fattahi, Bahman AzarhoushangORCiDGND, Heike Kitzig-FrankORCiDGND |
| URN: | https://urn:nbn:de:bsz:fn1-opus4-114802 |
| DOI: | https://doi.org/10.3390/jmmp9020062 |
| ISSN: | 2504-4494 |
| Parent Title (English): | Journal of Manufacturing and Materials Processing |
| Language: | English |
| Year of Completion: | 2025 |
| Release Date: | 2025/02/18 |
| Tag: | Adaptive DoE; Data-driven manufacturing; Grinding expert system; Industry 4.0; Knowledge-based adaptive design of experiments (KADoE) |
| Volume: | 9.2025 |
| Issue: | 2 |
| Article Number: | 62 |
| Page Number: | 21 |
| Open-Access-Status: | Open Access |
| Gold | |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |