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Using regression models for predicting the product quality in a tubing extrusion process

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Abstract

Quality in a manufacturing process implies that the performance characteristics of the product and the process itself are designed to meet specific objectives. Thus, accurate quality prediction plays a principal role in delivering high-quality products to further enhance competitiveness. In tubing extrusion, measuring of the inner and outer diameters is typically performed either manually or with ultrasonic or laser scanners. This paper shows how regression models can result useful to estimate both those physical quality indices in a tube extrusion process. A real-life data set obtained from a Mexican extrusion manufacturing company is used for the empirical analysis. Experimental results demonstrate that k nearest-neighbor and support vector regression methods (with a linear kernel and with a radial basis function) are especially suitable for predicting the inner and outer diameters of an extruded tube based on the evaluation of 15 extrusion and pulling process parameters.

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Acknowledgements

The authors would like to acknowledge the financial support from the Spanish Ministry of Economy, Industry and Competitiveness [TIN2013-46522-P], and the Generalitat Valenciana [PROMETEOII/2014/062].

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Authors and Affiliations

  1. División Multidisciplinaria en Ciudad Universitaria, Departamento de Ingeniería Eléctrica y Computación, Universidad Autónoma de Ciudad Juárez, C. José de Jesús Macías Delgado, 18100, Ciudad Juárez, Chihuahua, Mexico

    Vicente García

  2. Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicent Sos Baynat s/n, 12071, Castelló de la Plana, Spain

    J. Salvador Sánchez

  3. Departamento de Ingeniería Industrial y Manufactura, Universidad Autónoma de Ciudad Juárez, Av. del Charro 450 Norte, 32310, Ciudad Juárez, Chihuahua, Mexico

    Luis Alberto Rodríguez-Picón & Luis Carlos Méndez-González

  4. Departamento de Ingeniería Eléctrica y Computación, Universidad Autónoma de Ciudad Juárez, Av. del Charro 450 Norte, 32310, Ciudad Juárez, Chihuahua, Mexico

    Humberto de Jesús Ochoa-Domínguez

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  1. Vicente García
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Correspondence to Vicente García.

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García, V., Sánchez, J.S., Rodríguez-Picón, L.A. et al. Using regression models for predicting the product quality in a tubing extrusion process. J Intell Manuf 30, 2535–2544 (2019). https://doi.org/10.1007/s10845-018-1418-7

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