Thesis defense of Christian Alejandro Rivera Torres

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Thesis defense of Christian Alejandro Rivera Torres

THESIS

Thesis defense of Christian Alejandro Rivera Torres

Title of the thesis: “A Knowledge-Based Engineering System Framework for the Development of Electric Machines”. Obtained the SOBRESALIENTE qualification.

2019·12·19

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  • Title of the thesis: “A Knowledge-Based Engineering System Framework for the Development of Electric Machines”.
  • PhD programme: DOCTORATE PROGRAMME IN MECHANICAL ENGINEERING AND ELECTRICAL ENERGY
  • Thesis directors: Fco. Javier Poza Lobo, Gaizka Ugalde Rosillo.
  • Court:
    • President: Dr. D. Ricardo Bosch Tous (Universidad Politécnica de Catalunya)
    • Vocal: Dr. D Francisco Blázquez García (Universidad Politécnica de Madrid)
    • Vocal: Dra. Dña. Irma Villar Iturbe (IKERLAN)
    • Vocal: Dr. D. Unai San Andres Sans  (JEMA ENERGY SA)
    • Secretary: Dr. D. Gaizka Almandoz Larralde (Mondragon Unibertsitatea)

Abstract

The new concept industry 4.0 is a great opportunity to improve the competitiveness in a global market for small-medium size electric machinery companies. The demand for electric motors has increased in the last decade especially due to applications that try to make a full transition from fuel to electricity. These applications encounter the need for tailor-made motors that must meet demanding requirements. Therefore, it is mandatory small-medium companies adopt new technologies (1) offering customized products fulfilling the customers’ requirements according to their investment capacity, (2) simplify their development process as well as to reduce computational time to achieve a feasible design in shorter periods and (3) find ways to retain know-how that is typically kept within each designer either to retrieve or transfer it to new designers. To support the aforementioned issue, a knowledge-based engineering (KBE) system framework for the development of electric machines is devised. The framework is encapsulated in the so-called KBV2-model comprising the electric machine development methodology and the knowledge based generation process. This thesis describes this model and the integration of KBE applications with current industrial technologies such as (1) Model-Based Systems Engineering (MBSE), (2)Product Lifecycle Management (PLM), (3) multiphysics and analytical design tools. This architecture provides the capability to manage and automate tasks in the development process of electric machines. The KBE system framework herein presented is formalized through the experience and analysis of the development and implementation of the KBE applications. From which a guideline is provided following a sequential process in order to achieve a viable KBE system. To substantiate the process a KBE system that supports the development of electric motors is created for the elevator system industry.