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Related Experiment Video

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A Rapid Method for Modeling a Variable Cycle Engine

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Published on: August 13, 2019

Interactive visual steering--rapid visual prototyping of a common rail injection system.

Kresimir Matković¹, Denis Gracanin, Mario Jelović

¹VRVis Research Center, Vienna. Matkovic@VRVis.at

IEEE Transactions on Visualization and Computer Graphics

|November 8, 2008

Summary

This study presents a successful computational steering approach, integrating interactive visualization with simulation for automotive system design. This method accelerates prototyping and enhances understanding of complex system behaviors.

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Area of Science:

Engineering
Computer Science
Automotive Design

Background:

Interactive steering with visualization is a long-standing goal in visualization research, rarely implemented in practice.
Automotive manufacturers face increasing pressure for emission reduction, efficiency, and noise control, pushing simulation and visualization technologies to their limits.
Complex automotive systems require new design approaches beyond traditional experience-based or forward optimization methods.

Purpose of the Study:

To describe a successful realization of a tightly coupled steering loop for automotive system design prototyping.
To integrate new simulation technology with interactive visual analysis.
To demonstrate an improved prototyping process for complex automotive systems.

Main Methods:

Developed a prototyping environment integrating a tightly coupled steering loop.
Coupled interactive visualization with the simulation back-end (computational steering).
Utilized multidimensional simulations exploring thousands of input parameters.

Main Results:

Enabled rapid prototyping of automotive systems from non-optimized initial states.
Facilitated iterative refinement of simulation models and parameters through trial-and-error.
Provided early insights into multidimensional simulation spaces, improving understanding of system behavior.

Conclusions:

The computational steering approach significantly improves automotive system prototyping efficiency and design understanding.
Achieved excellent results for the common rail injection system.
The approach shows strong potential for generalization to other similar engineering scenarios.