Browsing by Author "Zulaika, Juanjo"
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Item Adaptive fixturing system for the smart and flexible positioning of large volume workpieces in the wind-power sector(2014) Olaiz, Edurne; Zulaika, Juanjo; Veiga, Fernando; Puerto, Mildred; Gorrotxategi, Ainhoa; Tecnalia Research & Innovation; MAQUINAS; FACTORYQuality and productivity in a manufacturing process depend considerably on the toolkits used, whose basic functions are to position the component into a right position relative to the cutting tool and to hold the component tightly to avoid displacements during the machining. In this document the design of a smart and adaptive fixture is presented for the accurate positioning of a planet carrier with very strict requirements of tolerances and for an intelligent adjustment during the machining process when required. This device will allow the manufacturer reducing the manual inspections, automatizing the adjustment tasks and improving the machining process setup time, increasing consequently the productivity and achieving the required accuracy and the required geometrical quality of the part. The development of the intelligent fixturing will be focused mainly in the conception of a high precision actuator capable of moving the large part with the required tolerance. Moreover, a testbench has been developed that will allow validating the actuator, assuring therefore its applicability in the future industrialization of the fixture device.Item Holistic approach for jointly designing dematerialized machine tools and production systems enabling flexibility-oriented business models(Springer Berlin Heidelberg, 2012) Copani, Giacomo; Leonesio, Marco; Molinari-Tosatti, Lorenzo; Pellegrinelli, Stefania; Urgo, Marcello; Valente, Anna; Zulaika, Juanjo; Dornfeld, David A.; Linke, Barbara S.; MAQUINASMachine tools and production systems are traditionally designed in two separate stages, thus severely penalize the possibility to match customer production requirements. This work introduces the concept of dematerialization for machine tools and systems whose design principles answer to energy savings and cutting edge performance requirements across their lifecycles. The proposed approach consists of four main steps: new business total-life cycle services, design of dematerialized machine tools, process planning and configuration of production system solutions. The benefits coming from the adoption of machine and system dematerialization strategy have been addressed with reference to an industrial case study.Item New concepts for structural components(Springer London, 2009) Zulaika, Juanjo; Campa, Francisco Javier; MAQUINASThis chapter is focused on analysing new concepts and trends related to the structure of machine tools. In fact, the structure of the machine has a decisive influence on the three main parameters that define the capabilities of a machine, which are: motion accuracy, the productivity of the machine and the quality of machining. In this respect, this study on structural components will add a new basic parameter, eco-efficiency, because the structure of the machine also has a decisive influence on the whole life cycle of the machine and especially on the materials and energy resources consumed: an issue of increasing concern among machine tool builders.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.