Christoph Capellmann

Prediction of flow-induced noise in automotive HVAC systems using a combined CFD/CA approach

Noise emission from automotive HVAC systems has become an important factor for passenger comfort. Consequently, efforts are made during the design phase to minimize noise generation, and to improve sound quality. Predictive tools for the aeroacoustic behavior of components, subsystems and whole systems early on in the design phase are therefore desirable. In this paper a combined Computational Fluid Dynamics (CFD) and Computational Acoustics (CA) approach for the prediction of sound generation and propagation is investigated. Three different experimental setups, ranging from a more academic example to examples relevant in the design process of climate control systems, have been devised to provide test data for the evaluation. Experimental and numerical results are presented and discussed.

The analysis of windscreen de-icing using CFD simulation

The aim of this study by Visteon and Fluent is to investigate the windscreen de-icing behaviour of a vehicle using the available CFD methods and to develop further techniques for the future in order to reduce the cost of development. A detailed full model of an existing vehicle containing the outer skin, the air conditioning unit, the windscreen and the cabin interior was produced using a tetrahedral mesh.

CFD-Simulation verbessert Scheibenenteisung

Die vorliegende Studie von Visteon und dem Software-unternehmen Fluent untersucht das Enteisungsverhalten einer Pkw-Windschutzscheibe mit dem CFD-Programm Fluent. Die Studie diente daruber hinaus der Erarbeitung eines technologischen Ablaufs fur die Zukunft, um die Kosten fur den Entwicklungsprozess senken zu konnen. Das Fahrzeugmodell umfasste die Ausenhaut des Pkw, Windschutzscheibe, Fahrgastzelle sowie Klimatisierungseinheit mit allen Kanalen.