Development of Self-Learning NC-Programming System for Data-Driven Surface Prediction and Adaptive Cutting Parameter Optimization

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Primary Data

Project Acronym Projekt Kurzbezeichnung
21059-FFG_SurfAIce
 
Project Title (de) Projekttitel (de)
Development of Self-Learning NC-Programming System for Data-Driven Surface Prediction and Adaptive Cutting Parameter Optimization
 
Project Title (en) Projekttitel (en)
Development of Self-Learning NC-Programming System for Data-Driven Surface Prediction and Adaptive Cutting Parameter Optimization
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Grants

Funder/Funding Agency Fördergeber
FFG - Österr. Forschungsförderungs- gesellschaft mbH
Grant number Förderkennnummer
FO999891268
 

Publications

Results 1-1 of 1 (Search time: 0.001 seconds).

PreviewAuthors / EditorsTitleTypeIssue Date
1Tonejca, Lea ; Mauthner, Gernot ; Trautner, Thomas ; Koenig, Valentina ; Liemberger, Werner AI-Based Surface Roughness Prediction Model for Automated CAM-Planning OptimizationInproceedings Konferenzbeitrag5-Jan-2023