Snow modeling to predict surface contamination of cars
Typ
Examensarbete för masterexamen
Program
Applied mechanics (MPAME), MSc
Publicerad
2021
Författare
Bangalore Narahari, Tejas Sharma
Bharadhwaj, Yashas
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Passenger safety and autonomous transportation have been few of the important
innovations in the development of modern-day cars amongst the top-tier automobile
manufacturers. Correspondingly, innovation in the level of passenger safety has
evolved from just passive safety systems towards enhanced active safety systems
such as Advanced Driver Safety System (ADAS), in recent times. Such systems are
generally comprised of various sub-systems including radar sensors, cameras, etc.
Contamination or exterior soiling on these is one of the major issues at hand that
are hindering their functionalities.
Contamination due to snow being one of the bigger issues under winter condi tions poses a significant challenge towards its functionalities which needs to be
addressed. Field testing and wind tunnel experiments are being used traditionally at
Volvo Cars to address the above issue. As a scope of this project, the challenge is to
develop a model which predicts the snow contamination on automotive cars or bluff
bodies using a Multi-phase CFD simulation approach.
An aerodynamic analysis is initially performed to understand the flow features
around the subject of interest. Later, particle simulation using the Lagrangian
Particle Tracking method to study snow deposition is performed. To contrast with
the results from simulation, wind tunnel experiments with similar test conditions are
conducted over two bluff bodies, a Wedge section and an Ahmed body subjected to
snow. The simulation results and experimental results are then compared with each
other to analyse the deposition pattern in both real-world conditions and simulations.
Beskrivning
Ämne/nyckelord
Multi-phase Modeling, Lagrangian Particle Tracking, Snow, Wind Tunnel Testing, Wedge, Ahmed Body