Case of Study
This chapter presents a case of study exemplifying the combined application of the finite element method (FEM) and artificial intelligence (AI) based tool in modeling and optimization of manufacturing process. In the study, modeling of an orthogonal cutting process of AISI 1045 steel is carry out by using the FEM. Outcomes of the model, in terms of cutting forces and tool wear are related to the experimental factors (feed, velocity and rake angle) through neural networks models. Finally, a multi-objective optimization process is defined and executed in order to obtain the most convenient factors for this specific process, on different workshop conditions.
KeywordsHeat Transfer Coefficient Wear Rate Tool Wear Material Removal Rate Pareto Front
- S.A. Iqbal, P.T. Mativenga, M.A. Sheikh, Characterization of machining of AISI 1045 steel over a wide range of cutting speeds. Part 2: evaluation of flow stress models and interface friction distribution schemes. Proc. Inst. Mech. Eng. B-J Eng. 221, 917–926 (2007). doi: 10.1243/09544054JEM797 CrossRefGoogle Scholar