作者: Hyung Wook Park , Steven Y. Liang
DOI: 10.1007/S00170-008-1852-3
关键词:
摘要: Grinding at the microscale is an essential process in view of its competitive edge over other processes fabrication micro-sized features and parts. The quality parts produced by grinding can be influenced various factors related to mechanical forces induced. Therefore, predictive modeling context useful provide guidance for further development optimization this process. In study, a new model address thermal interactions between workpiece individual single grit on wheel was developed. This developed integrates ploughing associated friction effects moving heat source micro-grinding zone under given machining conditions estimate effect ratio partition into also experimentally calibrated using embedded thermocouple measurement followed analytical calculations. quantitatively predicts incorporating material properties as functions strain, strain rate, temperature. order verify model, experiments based surface setup were performed changing depths cut. addition this, sensitivity analysis behavior conducted identify main effective factors. A comparison experiment data predictions shows that force captures trend physics within computed range parameters.