Verfahren zum Vorschlagen Optimaler Werkzeugbahnparameter bei der Subtraktiven Herstellung
Anmelder: DASSAULT SYSTEMES AMERICAS CORP. 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4787090
- Anmeldetag
- 3. Februar 2026
- Veröffentlichung
- 5. August 2026
- Rechtsraum
- EP
Abstract
Embodiments train an artificial intelligence (AI) model to generate optimized parameters for part manufacturing. Embodiments generate a simulation data set including respective sets of manufacturing parameters with associated values. Embodiments generate a training data set using the generated simulation data set by performing a respective manufacturing simulation using each respective set of manufacturing parameters with associated values. Results of performing each respective manufacturing simulation include a representation of a part resulting from the respective manufacturing simulation and a toolpath of the respective manufacturing simulation. The training data set is composed of a subset of the results of performing each respective manufacturing simulation and respective sets of manufacturing parameters with associated values corresponding to the subset of the results. Embodiments train an AI model using the training data set generated, the AI model trained is configured to determine optimized manufacturing parameters.
Anmelder
- Firma
- DASSAULT SYSTEMES AMERICAS CORP.
- Land
- 🇺🇸 USA
Vertreten von
-
Bandpay & Greuter
Bandpay & Greuter · Paris