Experiencia en la ETS de Ingeniería y Diseño Industrial en la implantación del Doble Grado en Ingeniería en Diseño Industrial y Desarrollo de Producto y en Ingeniería Mecánica por la Universidad Politécnica de Madrid

(SPA) En este trabajo se plantea el desarrollo curricular del Doble Grado en Ingeniería en Diseño Industrial y Desarrollo de Producto y en Ingeniería Mecánica. Se exponen los motivos por los que se decidió implantar, se ofrecen datos de demanda, oferta, notas de corte y se presenta un avance de los resultados académicos del primer curso correspondiente a la primera promoción. (ENG) In this work the study plan of the doble degree in Industrial Desing an Product development and in Mechanical Engineering. The reasons why the double dergree was implanted, the demand, the offer and the students academic results of the first class

Sphericity measurement through a new minimum zone algorithm with error compensation of point coordinates

Sphericity is a relevant tolerance of form in many fields of engineering. Measuring sphericity is frequently accomplished through the fitting of the point coordinates obtained from coordinate measuring machines (CMMs) to a substitution sphere. This paper presents a new algorithm for sphericity of minimum zone tolerance. It faces its resolution through the flatness problem associated with the implicit formulation of the polar plane of the sphere. The polarity transformation allows the iterative resolution of the minimum zone sphericity through a simpler flatness problem. Its accuracy is compared with the least-squares solution and some well-known minimum zone algorithms from literature. Its performance reaches or surpasses them. Next, a new error compensation model of point coordinates for sphericity is developed.A model based on the regression of the error by each CMM axis is incorporated into the sphericity measurement model. The explained error propagated allows correcting the sphericity calculated by the CMM indication, but also facilitates the uncertainty estimation by the propagation of the unexplained residual error in the regression through the measurement model. The experimental verification by the Monte Carlo Method shows efficient results. The jointly proposed method of a new algorithm with error compensation and uncertainty estimation can effectively contribute to the improvement of sphericity measurement from point coordinates in precision and accuracy