Modeling of cutting forces in helical milling by analysis of tool contact angle and respective depths of cut

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Knowledge of the behavior and magnitude of cutting forces is very important for correctly calculating cutting power and for obtaining tight tolerances and low levels of tool wear. In this way, the appropriate prediction of the force components collaborates with the correct choice of the cutting parameters and strategies. High oscillation of force values in helical milling increase the relevance of the analysis. In this context, present work describes an approach for modeling cutting forces in helical milling based on the analysis of tool contact angle and the respective depths of cut. From the model, it is possible to predict the behavior and magnitude of the force acting on the insert, which contributes to better process planning. The results indicated a good fit of the experimental values with the models, despite the observation of some errors, which occurred mainly due to the dynamics of the machine and the used approximations.684198223112319Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

Modeling of Process Forces with Consideration of Tool Wear for Machining of Sintered Steel Alloy for Application to Valve Seat in a Combustion Engine

The reliable and precise machining of cylinder head components in the combustion engine represents a crucial and complicated step in the production process. In industrial manufacturing processes, disturbances are inevitable and provide a measure of uncertainty in each production step. Increasingly, the influence of such uncertainties is being evaluated using simulation models. To determine the performance quality of the model, a suitable cutting material and the edge geometry must be identified. In this paper, experimental investigation of polycrystalline cubic boron nitride grades for machining valve seats made of powder metallurgy steel in a combustion engine is presented. Then, a mechanistic approach is used to establish a prediction model of the process forces based on the experimentally determined data set