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  • Applicability of Optimization Methods in the Design of Automotive Rubber Products
    358-363
    Views:
    280

    Size, shape or topology optimization are widely used to fulfil the requirements in the design process of rubber products. In many cases, the shape of the product is very complex and comes into contact with other components during operation. It is commonly subjected to large deformation for which the rubber shows strongly nonlinear behaviour. For this complex problem analytical solution is not available, thus finite element method could be used in which the analysis running is a time consuming process. The object of my research is to compare the efficiency and computational cost of different optimization algorithms. This article focuses on the applicability of various optimization methods in the field of automotive rubber goods. Direct search optimization and surrogate model optimization methods will be introduced.

  • Application of Topological Methods in the Development of Vehicle Components
    67-75
    Views:
    241

    Many areas of the industry are characterized by continuous changes, which define new directions of development in product design. The development of computers and software, the spread of modern production tools and the development of material technology make it possible to expand traditional production technologies with modern processes. Integrated CAD systems have occupied their place in the product design and development process for decades, reforming classical design methods. Popular optimization procedures in integrated CAD systems, such as shape optimization, topological optimization and the new generative design process, provide effective solutions for design engineers in more and more industrial application areas. Experience shows that modern design methods can be used in many areas of industry. The appearance of metal powder printing and additive technology make it possible to test the designed prototypes or even to produce the final products. The following article aims to support the above with the help of a case study.

  • Simulation of BLDC Motor Drive Systems for Electric Vehicles Using Matlab Simulink
    48-52
    Views:
    559

    The defining scientific developments of our time would not have been possible without the use of simulations. The aim of the research is to create a simulation of a BLDC motor. When creating a simulation, great emphasis must be placed on defining the purpose of the simulation. This basically determines the structure and complexity of the model. The model discussed here was created so that an optimization task could be defined more precisely by inserting it as a sub-model into a vehicle dynamics model. Scalability was another aspect, that is, to be able to increase the accuracy of the model with measured data in the future, as well as to be able to validate it. During the research, a BLDC motor efficiency map generation program was created, as well as an environment for testing the generated data. The created system gives researchers the opportunity to use a shape-correct efficiency model when simulating a BLDC motor even without measured data. This makes it possible to discover real relationships between model parameters when performing optimization.