Knowledge-Based Engineering (KBE) combines engineering expertise with parametric computer aided design models to automate repetitive tasks, enhance design flexibility, and ensure more efficient and accurate results. Inputs may be requirements or distinct parameters. Nonetheless, for comprehensive designs, the complexity, i.e., amount and intertwinement of such inputs may overwhelm users. A way to overcome this is reducing user inputs by augmenting them with surrogate models, e.g., using physics-based calculations. This paper examines KBE and its application in modeling a skate park. The design incorporates essential physical calculations, such as speed dynamics, and user-specific requirements to reduce inputs to basic attributes, such as skill level or body weight, while ensuring both safety and customization. The resulting model of the design solution space then can be used to discover engineering knowledge by analyzing the sensitivity of input changes to the resulting configurations.

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Model-Based Configuration as a Tool for Discovering Design Knowledge: A Skate Park Case-Study

  • Paul Christoph Gembarski,
  • Leo Duchan,
  • Julian Schröder,
  • Julius Vahle

摘要

Knowledge-Based Engineering (KBE) combines engineering expertise with parametric computer aided design models to automate repetitive tasks, enhance design flexibility, and ensure more efficient and accurate results. Inputs may be requirements or distinct parameters. Nonetheless, for comprehensive designs, the complexity, i.e., amount and intertwinement of such inputs may overwhelm users. A way to overcome this is reducing user inputs by augmenting them with surrogate models, e.g., using physics-based calculations. This paper examines KBE and its application in modeling a skate park. The design incorporates essential physical calculations, such as speed dynamics, and user-specific requirements to reduce inputs to basic attributes, such as skill level or body weight, while ensuring both safety and customization. The resulting model of the design solution space then can be used to discover engineering knowledge by analyzing the sensitivity of input changes to the resulting configurations.