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This article presents a process of developing a computational model of a light construction vertical lathe. The model is made using the finite elements method. Due to the complexity of the machine tool and the optimization of the computation time superelements have been used in the model. The application of this method has reduced the computation time allowing the analysis of many variants of the mutual position of the machine components. The results of the analyzes led to the indication of weak links of the machine tool. After the improvement of the machine tool construction the movement of the tool tip and the workpiece was much smaller.
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The paper referes to the possibility of using neural networks in selecting the “Research-Development” strategy, in the nonconventional technologies field. It presents a selection and the main key elements of the Research and Development (R & D) strategies, applicable in the nonconventional technologies (NT) field and, thus, the specific analytical elements of such a methodology. It also refers to the possibility of using neural networks (“NN”) up to the level of taking managerial decisions regarding the manufacturing processes. Research Objectives: Defining components from the neuron ‘s structure into the organizational systems, in order to select ptime strategies for the organizational management. Expected Results: Transposing the entire methodology in a software.
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