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        Quality monitoring of complex manufacturing systems on the basis of model driven approach

        Fernando Castano,Rodolfo E. Haber,Wael M. Mohammed,Miroslaw Nejman,Alberto Villalonga,Jose L. Martinez Lastra 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.26 No.4

        Monitoring of complex processes faces several challenges mainly due to the lack of relevant sensory information or insufficient elaborated decision-making strategies. These challenges motivate researchers to adopt complex data processing and analysis in order to improve the process representation. This paper presents the development and implementation of quality monitoring framework based on a model-driven approach using embedded artificial intelligence strategies. In this work, the strategies are applied to the supervision of a microfabrication process aiming at showing the great performance of the framework in a very complex system in the manufacturing sector. The procedure involves two methods for modelling a representative quality variable, such as surface roughness. Firstly, the hybrid incremental modelling strategy is applied. Secondly, a generalized fuzzy clustering c-means method is developed. Finally, a comparative study of the behavior of the two models for predicting a quality indicator, represented by surface roughness of manufactured components, is presented for specific manufacturing process. The manufactured part used in this study is a critical structural aerospace component. In addition, the validation and testing are performed at laboratory and industrial levels, demonstrating proper real-time operation for non-linear processes with relatively fast dynamics. The results of this study are very promising in terms of computational efficiency and transfer of knowledge to manufacturing industry.

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        Correlation of the Holes Quality with the Force Signals in a Microdrilling Process of a Sintered Tungsten-Copper Alloy

        Gerardo Beruvides,Ramón Quiza,Raúl del Toro,Fernando Castaño,Rodolfo E. Haber 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.

        Holes quality errors are an undesired but unavoidable consequence in drilling operations. Due to the small dimensions involved inthe microdrilling processes, quality measurement and control must be carried out offline, by using microscopy or other high precisionmeasurement devices. This paper presents a study about the correlation between the holes quality and the force signals in themicrodilling process of 0.1 mm and 0.5 mm-diameter holes in a sintered tungsten-copper alloy. The surface of the obtained holes wasscanned by means of an interferometry microscope and the error of the holes was computed from the scanned data. The threecomponents of the forces were measured during all the drilling process. The behavior of these signals, in three different intervals (toolentrance, forward motion and backward motion) was described by wavelet package analysis. The features having higher correlationwith the holes quality error were the average power of the axial component of the forces in the frequency bands of 0~391 Hz and3906~4297 Hz, during the backward motion. With these features, a statistical regression model was fitted. The main outcomes of thisstudy are the basement for obtaining reliable models for monitoring systems in microdrilling operations.

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