January 01, 2019 article Open access A hybrid approach using machine learning to predict the cutting forces under consideration of the tool wear Procedia CIRP DOI: 10.1016/j.procir.2019.04.031 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 77 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Hybrid Modeling Approach for Predicting Tool Temperature in Metal Cutting Processes 2025 Procedia CIRP article Engineering Advanced machining processes and optimization Open access 2 citations Digital twins for cutting processes 2023 CIRP Annals article Engineering Digital Transformation in Industry 66 citations Advanced calculation of the stress distribution in milling tools during cutting under consideration of residual stresses and tool wear 2021 Procedia CIRP article Engineering Advanced machining processes and optimization Open access 9 citations Modelling the Geometrical Accuracy for Different Part Geometries and Process Parameters when Broaching Fir-Tree Slots in Turbine Disks 2021 Procedia CIRP article Engineering Advanced machining processes and optimization Open access 9 citations 4 results References 0