An approach to use sub-surface characteristics for the prediction of process forces during cutting operations
| Autor: | Petra Wiederkehr, Janis S. Kimm, Jim A. Bergmann, Werner Theisen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Surface (mathematics)
0209 industrial biotechnology Work (thermodynamics) Computer science Process (computing) Mechanical engineering Material removal 02 engineering and technology 010501 environmental sciences Simulation system 01 natural sciences 020901 industrial engineering & automation Machining General Earth and Planetary Sciences Predictability Material properties 0105 earth and related environmental sciences General Environmental Science |
| Zdroj: | Procedia CIRP. 88:276-281 |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2020.05.048 |
| Popis: | During machining operations, complex engagement situations between the tool and workpiece lead to varying amplitudes and directions of cutting forces. Correlations between material properties, process parameters and resulting forces have to be analyzed to ensure the predictability of machining processes. To model the material removal, a detailed analysis of the material behavior during the engagement is needed. In this work, a geometric physically-based simulation system is extended to take the material behavior into account for improving the prediction accuracy of process forces. A detailed analysis of the low-alloyed steel 42CrMo4 and validation experiments are presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|