Optimized Product Development by means of Customized Simulation Tools - Theory and Practice

  • Herbert Hinterleitner
  • , Stefan Dierneder
  • , Karl Ladner

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

    Abstract

    Simulation-Driven Product Development has become a key factor in achieving success in a highly competitive marketplace. Employing new simulation technologies in the earliest stages of design has become indispensable to reduce development cycles and to lower costs. However, the geometric complexity and advanced physics involved present some of the most challenging CAE problems facing engineers today. Market pressure to create innovative products in less time emphasizes the need to carry out more advanced simulations, faster than ever before. For this, a customization of the according simulation models and tools becomes more and more important. Of sure, the integrative design and customization is nothing really new and partly already content of engineers’ daily work. But our experience has shown that until now, a really extensive integration and customization for product development only has been done for mathematical quite simple relationship. That is why one objective of this paper is also pointing out the reasonability of an extensive integrative product design with all its modeling and simulation possibilities and its customization for systems and products only can be described with extensive and non-linear models, too.
    Original languageEnglish
    Title of host publicationThe 17th International Conference on Engineering Design - ICED 2009
    Editors Stanford Univeristy, California, USA
    Number of pages8
    Publication statusPublished - Aug 2009

    Fields of science

    • 101 Mathematics
    • 102 Computer Sciences
    • 202 Electrical Engineering, Electronics, Information Engineering
    • 202009 Electrical drive engineering
    • 202027 Mechatronics
    • 202034 Control engineering
    • 202036 Sensor systems
    • 203 Mechanical Engineering
    • 203033 Hydraulic drive technology

    JKU Focus areas

    • Mechatronics and Information Processing

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