Literature DB >> 18989028

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

Kresimir Matković1, Denis Gracanin, Mario Jelović, Helwig Hauser.   

Abstract

Interactive steering with visualization has been a common goal of the visualization research community for twenty years, but it is rarely ever realized in practice. In this paper we describe a successful realization of a tightly coupled steering loop, integrating new simulation technology and interactive visual analysis in a prototyping environment for automotive industry system design. Due to increasing pressure on car manufacturers to meet new emission regulations, to improve efficiency, and to reduce noise, both simulation and visualization are pushed to their limits. Automotive system components, such as the powertrain system or the injection system have an increasing number of parameters, and new design approaches are required. It is no longer possible to optimize such a system solely based on experience or forward optimization. By coupling interactive visualization with the simulation back-end (computational steering), it is now possible to quickly prototype a new system, starting from a non-optimized initial prototype and the corresponding simulation model. The prototyping continues through the refinement of the simulation model, of the simulation parameters and through trial-and-error attempts to an optimized solution. The ability to early see the first results from a multidimensional simulation space--thousands of simulations are run for a multidimensional variety of input parameters--and to quickly go back into the simulation and request more runs in particular parameter regions of interest significantly improves the prototyping process and provides a deeper understanding of the system behavior. The excellent results which we achieved for the common rail injection system strongly suggest that our approach has a great potential of being generalized to other, similar scenarios.

Year:  2008        PMID: 18989028     DOI: 10.1109/TVCG.2008.145

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  3 in total

1.  Toward Rigorous Parameterization of Underconstrained Neural Network Models Through Interactive Visualization and Steering of Connectivity Generation.

Authors:  Christian Nowke; Sandra Diaz-Pier; Benjamin Weyers; Bernd Hentschel; Abigail Morrison; Torsten W Kuhlen; Alexander Peyser
Journal:  Front Neuroinform       Date:  2018-06-01       Impact factor: 4.081

2.  Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

Authors:  Jason Dykes; Alfie Abdul-Rahman; Daniel Archambault; Benjamin Bach; Rita Borgo; Min Chen; Jessica Enright; Hui Fang; Elif E Firat; Euan Freeman; Tuna Gönen; Claire Harris; Radu Jianu; Nigel W John; Saiful Khan; Andrew Lahiff; Robert S Laramee; Louise Matthews; Sibylle Mohr; Phong H Nguyen; Alma A M Rahat; Richard Reeve; Panagiotis D Ritsos; Jonathan C Roberts; Aidan Slingsby; Ben Swallow; Thomas Torsney-Weir; Cagatay Turkay; Robert Turner; Franck P Vidal; Qiru Wang; Jo Wood; Kai Xu
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-08-15       Impact factor: 4.019

3.  Visual parameter optimisation for biomedical image processing.

Authors:  A J Pretorius; Y Zhou; R A Ruddle
Journal:  BMC Bioinformatics       Date:  2015-08-13       Impact factor: 3.169

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.