Browsing by Keyword "Machining optimization"
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Item Optimización del proceso de mecanizado de grandes piezas de fundición mediante la monitorización remota y la visualización 3D(2018-11) Checa, David; Zulaika, Juanjo; Lazkanotegi, Iñigo; Bustillo, Andrés; MAQUINAS; SGThe development of the different technologies included in the Industry 4.0 paradigm opens the door to an intensive monitoring of machine-tools. A data acquisition platform for both 2D and 3D analysis of machine performance under real factory conditions is presented in this study. The platform is composed of: 1) a data acquisition system that processes the information collected from the control memory and any other sensor integrated in the machine; 2) a remote server that stores the collected data; and, 3) a set of 2D and 3D interfaces both of which permit real-time calculation of KPIs and analysis of a specific machining process in a 3D virtual environment using Oculus Rift and Oculus Touch to detect anomalies in the machining process. This platform has been validated in a gantry milling machine machining large casting components. The results of this study demonstrate the detection of three types of anomalies in the machining process and the extent to which the immersive 3D environment makes it easier for the process engineer, especially in the case of junior process engineers, to detect them.Item A reliable turning process by the early use of a deep simulation model at several manufacturing stages(2017-06-01) Urbikain, Gorka; Alvarez, Alvaro; de Lacalle, Luis Norberto López; Arsuaga, Mikel; Alonso, Miguel A.; Veiga, Fernando; Tecnalia Research & InnovationThe future of machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy, and reliability. Nowadays, distortion and vibration problems are easily solved in labs for the most common machining operations by using models based on the equations describing the physical laws of the machining processes; however, additional efforts are needed to overcome the gap between scientific research and real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on "deep-knowledge and models" that aid machine designers, production engineers, or machinists to get the most out of the machine-tools. This article proposes a methodology to reduce problems in machining by means of a simulation utility, which uses the main variables of the system and process as input data, and generates results that help in the proper decision-making and machining plan. Direct benefits can be found in (a) the fixture/clamping optimal design; (b) the machine tool configuration; (c) the definition of chatter-free optimum cutting conditions and (d) the right programming of cutting toolpaths at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies and are explained in the paper.