Browsing by Author "Rivero, Asunción"
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Item Flexible Machining System for an Efficient Skin Machining(2016-09-27) Rubio, Antonio; Calleja, Luis; Orive, Javier; Mújica, Ángel; Rivero, Asunción; FABRIC_INTEL; SGAluminum skin milling is a very challenging process due to the high quality requirements needed in the aeronautic and aerospace industries. Nowadays, on these markets, there are just two technological approaches able to face the manufacturing of this sort of wide thin blanks: chemical and mechanical milling by means of highly complex machines. Both solutions lead to a high investment requirement that affect directly on the application profitability on these industrial sectors. This paper presents a flexible machining system that allows milling skin shaped parts within required tolerances by means of an innovative universal holding fixture combined with an adaptive toolpath development. This flexible holding fixture can be adapted to the required shape and can hold uniformly the whole sheet surface. Besides, the solution includes an implementation that can adapt the machining toolpath by means of the skin thickness online measurement. The integration of these two innovative devices allows machining a wide range of low stiffness panels, including different sizes, geometries and curvatures. Moreover, there is no need of readapting the fixture set-up in order to interspersing milling process with trimming and drilling, while one or more separated parts are hold at the same time. On the other hand, since this technological solution has been developed in terms of process efficiency, it allows facing the skin machining with a drastically reduced investment. Hence, this technology turns into a more affordable manufacturing process for industrial suppliers and increases the competitiveness on the aeronautic and aerospace markets.Item Monitoring of drilling for burr detection using spindle torque(2005-11) Peña, Begoña; Aramendi, Gorka; Rivero, Asunción; De Lacalle, Luis N.López; SGThis work proposes and evaluates a monitoring method, based on internal signals from spindle torque, to detect non-desired burr formation during drilling operations. Five features of this signal showed to be related to burr height. The selected features were sensitive to the exit burr while comparatively insensitive to changes in process parameters. The experiments were performed in aeronautics aluminium, Al 7075-T6, under dry high speed conditions. A thresholding algorithm has been developed to distinguish if burr height is below or above a previously established onset. The predictability of the developed algorithm is above 92% for the tested range of process parameters. An appropriate implementation of this monitoring system can be used as an effective quality control of drilling operations.