Improving productivity in machining processes through modeling
Budak, Erhan (2016) Improving productivity in machining processes through modeling. In: 3. Wiener Produktionstechnik Kongress 2016 Adaptive & Smart Manufacturing, Vienna, Austria
Selection of appropriate cutting conditions is of great importance in order to achieve high productivity in metal cutting industry. Virtual machining, which make use of physical models considering both mechanics and dynamics of metal cutting, is a useful tool in achieving this objective. In this paper, use of science integrated machining approaches is demonstrated for selection of high performance cutting conditions. The results obtained from simulations of several industrial applications are utilized in selection of cutting parameters and the results are discussed through applications and experiments.
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