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Design and optimization of an electromagnetic servo braking system combining finite element analysis and weight-based multi-objective genetic algorithms

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Abstract

The purpose of this paper is to show the design and optimization of a novel electromagnetic servo brake incorporating an Antilock brake system (ABS) function by Multi-objective genetic algorithms. To consider different design requirements, three types of Axisymmetric Finite element (FE) models were initially formulated parametrically to determine the braking force and position of the pusher at each instant during operation of the proposed device. Using a combination of the FE models and Weight-based multi-objective genetic algorithms (WBMOGA), the optimal geometry and dimensions of the proposed FE models were determined while maximizing the braking force of the device and minimizing both the current supplied by the battery and the weight of the assembly. Once an optimal configuration for each type of servo brake designed had been achieved, three prototypes were built and validated experimentally on a conventional test bench. Finally, the prototype that performed best of the three prototypes was mounted and tested on a hybrid test bench with a realistic ABS device. The good agreement between the results obtained from the simulations and those measured experimentally, suggests that the combination of FE models and WBMOGA may be used successfully to design and optimize any complex electromechanical device.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, University of La Rioja, La Rioja, Spain

    Ruben Lostado

  2. Rural Engineering Department and projects, Public University of Navarre, Pamplona, Spain

    Pedro Villanueva Roldán

  3. Electrical Engineering Department, University of the Basque Country UPV/EHU, Bilbao, Spain

    Roberto Fernandez Martinez

  4. School of Mechanical & Manufacturing Engineering, Dublin City University, Dublin 9, Ireland

    Bryan J. Mac Donald

Authors
  1. Ruben Lostado
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  2. Pedro Villanueva Roldán
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  3. Roberto Fernandez Martinez
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  4. Bryan J. Mac Donald
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Corresponding author

Correspondence to Ruben Lostado.

Additional information

Recommended by Editor Chongdu Cho

Rubén Lostado Lorza is a Lecturer in the Department of Mechanical Engineering at the University of La Rioja, Spain. Previously he worked as a mechanical engineer using the finite element method in the R & D Department of a couple of companies. One of its lines of research is the modeling and optimization of mechanical products or devices with nonlinear behavior and industrial processes by combining the FEM and machine learning techniques.

Pedro M. Villanueva Roldan is an Associate Professor in the Department of Engineering Projects of Public University of Navarra. He is also currently Plant Manager in a company engaged in the manufacture of aircraft components. He is an expert in the development and manufacture of new products, applying design methodologies for the manufacture of new industrial components.

Roberto Fernandez Martinez is an Assistant Professor in the Department of Electrical Engineering at the University of Basque Country, Spain. Previously he served as Ph.D. researcher at University of La Rioja in the Department of Industrial Engineering where he obtained his Ph.D. Among others, one of his research areas is related with the use of data mining and machine learning techniques in industrial and environmental scenarios, topic on which he wrote his doctoral thesis in 2012. This primary research goal is directed toward getting knowledge from large Data Bases optimizing processes and products.

Bryan J. Mac Donald is Senior Lecturer in Engineering Design at the school of Mechanical and Manufacturing Engineering at Dublin City University, Ireland. He is responsible for teaching finite element methods to undergraduate and postgraduate mechanical and biomedical engineers. He is the author of the highly successful textbook "Practical Stress Analysis with Finite Elements" published by Glasnevin Publishing.

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Lostado, R., Villanueva Roldán, P., Fernandez Martinez, R. et al. Design and optimization of an electromagnetic servo braking system combining finite element analysis and weight-based multi-objective genetic algorithms. J Mech Sci Technol 30, 3591–3605 (2016). https://doi.org/10.1007/s12206-016-0720-6

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  • DOI: https://doi.org/10.1007/s12206-016-0720-6

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