This paper presents an analysis of the transfer of information in planning, monitoring and control phases of a structural project using building information modeling (BIM), in order to determine the essential information that should be available in each stage of the project. The results show that the integration of the BIM into the planning of project implementation results in greater control of the model, preventing the occurrence of inefficiencies during development. In addition, the BIM helps to save time and cost because the building is programmed and it is constructed virtually before being built in place. Due to this simulation process, called 4D simulation, it is possible to reduce problems in the project by 20%, and set the deadlines for a more accurate implementing, around 30%, since all project professionals (engineers, contractors, subcontractors, suppliers, etc.) can visualize how the construction advances and help to refine the 4D simulation.
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In this paper, an online tool condition monitoring system (TCMS) for drilling is presented. The method is based on monitoring the spindle and feed motor currents. Root mean square (RMS) values of the spindle and feed motor currents, drill diameter, spindle speed and feed rate are the inputs to the network, and drill wear is the output. Drilling experiments were carried out over a wide range of cutting conditions to map the relationship between the input information and a tool wear. The performance and the architecture of the neural network have been validated with experiments, and a good agreement in an estimation of the tool condition was found. The results show that this method can be effectively used to verify and determine the tool wear.
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