Vehicle Thermal Management Simulation Using a Rapid Omni-Tree Based Adaptive Cartesian Mesh Generation Methodology

2004 ◽  
Author(s):  
Kumar Srinivasan ◽  
Z. J. Wang ◽  
Wei Yuan ◽  
Richard Sun
Keyword(s):  
Thermal Management ◽  
Mesh Generation ◽  
Development Process ◽  
Cfd Simulation ◽  
New Method ◽  
Surface Mesh ◽  
Passenger Vehicle ◽  
Traditional Approaches ◽  
Volume Mesh ◽  
Vehicle Development Process

CFD simulation of vehicle under-hood and under-body poses several challenges. Specifically, the complexity of the geometry involved makes the use of traditional mesh generation approaches, based on the boundary-to-interior methodology, impractical and time consuming. The current work presents the use of an interior-to-boundary method wherein the need for creating a ‘water-tight’ surface mesh is not a pre-requisite for volume mesh generation. The application of the new method is demonstrated for an actual passenger vehicle under-hood model with nearly a hundred components. Coupled radiation/convection simulations are performed to obtain the complete airflow and thermal map of the engine compartment. Results are validated with test data. The new method results in significant gains in efficiency over traditional approaches allowing the simulation tool to be used effectively in the vehicle development process.

scholarly journals Cartesian Mesh Generation with Local Refinement for Immersed Boundary Approaches

2021 ◽  
Vol 9 (6) ◽  
pp. 572
Author(s):  
Luca Di Di Angelo ◽  
Francesco Duronio ◽  
Angelo De De Vita ◽  
Andrea Di Di Mascio
Keyword(s):  
Mesh Generation ◽  
Cfd Simulation ◽  
Automatic Generation ◽  
Uniform Grid ◽  
Immersed Boundary ◽  
Adaptive Grids ◽  
Local Refinement ◽  
User Interactions ◽  
Cartesian Mesh ◽  
Time Required

In this paper, an efficient and robust Cartesian Mesh Generation with Local Refinement for an Immersed Boundary Approach is proposed, whose key feature is the capability of high Reynolds number simulations by the use of wall function models, bypassing the need for accurate boundary layer discretization. Starting from the discrete manifold model of the object to be analyzed, the proposed model generates Cartesian adaptive grids for a CFD simulation, with minimal user interactions; the most innovative aspect of this approach is that the automatic generation is based on the segmentation of the surfaces enveloping the object to be analyzed. The aim of this paper is to show that this automatic workflow is robust and enables to get quantitative results on geometrically complex configurations such as marine vehicles. To this purpose, the proposed methodology has been applied to the simulation of the flow past a BB2 submarine, discretized by non-uniform grid density. The obtained results are comparable with those obtained by classical body-fitted approaches but with a significant reduction of the time required for the mesh generation.

Design of Locomotive Coupling Transmission System Based on WLAN

2012 ◽  
Vol 590 ◽  
pp. 361-366
Author(s):  
Fu Qiu ◽  
De Qiang He ◽  
Xiao Yang Yao ◽  
Jian Miao
Keyword(s):  
Operating System ◽  
Data Transmission ◽  
System Reliability ◽  
Development Process ◽  
Transmission System ◽  
New Method ◽  
Embedded Operating System ◽  
Overall Design ◽  
Heavy Haul ◽  
Hardware Structure

The locomotive coupling came from the development of heavy-haul transportation in railway. Considering the insufficiencies of cable and radio in locomotive coupling at present, a new method of locomotive coupling is presented in this paper. The overall design of system scheme is provided based on WLAN. The system feasibility is analyzed and verified by using OPNET Modeler. The hardware structure of coupling transmission device and development process of embedded operating system are described briefly. Finally, taking measures guarantees the system reliability of data transmission.

A Systematic Optimization Design Method for Thermal Management of Passenger Vehicles

2021 ◽  
pp. 1-27
Author(s):  
Jie Zhang ◽  
Qidong Wang ◽  
Han Zhang ◽  
Min Zhang ◽  
Jianwei Lin
Keyword(s):  
Prediction Model ◽  
Surface Temperature ◽  
Thermal Management ◽  
Optimization Design ◽  
Cfd Simulation ◽  
Optimal Solution ◽  
Optimization Method ◽  
Drive Shaft ◽  
Management Problem ◽  
Systematic Optimization

Abstract In this study, a systematic optimization method for the thermal management problem of passenger vehicle was proposed. This article addressed the problem of the drive shaft sheath surface temperature exceeded allowable value. Initially, the causes and initial measures of the thermal problem were studied through computational fluid dynamics (CFD) simulation. Furthermore, the key measures and the relevant parameters were determined through Taguchi method and significance analysis. A prediction model between the parameters and optimization objective was built by radial basis function neural network (RBFNN). Finally, the prediction model and particle swarm optimization (PSO) algorithm were combined to calculate the optimal solution, and the optimal solution was selected for simulation and experiment verification. Experiment results indicated that this method reduced the drive shaft sheath surface temperature promptly, the decreasing amplitude was 22%, which was met the experimental requirements.

Fine-Grained Parallel Algorithm for Unstructured Surface Mesh Generation

2014 ◽  
pp. 559-578
Author(s):  
Jianjun Chen ◽  
Dawei Zhao ◽  
Yao Zheng ◽  
Zhengge Huang ◽  
Jianjing Zheng
Keyword(s):  
Parallel Algorithm ◽  
Mesh Generation ◽  
Surface Mesh ◽  
Fine Grained ◽  
Surface Mesh Generation

Clustered insights

2013 ◽  
Vol 55 (1) ◽  
pp. 105-130 ◽  
Author(s):  
Christian Purucker ◽  
Jan R. Landwehr ◽  
David E. Sprott ◽  
Andreas Herrmann
Keyword(s):  
Eye Tracking ◽  
Marketing Research ◽  
Regions Of Interest ◽  
Scan Statistics ◽  
New Method ◽  
Tracking Data ◽  
Space And Time ◽  
Traditional Approaches ◽  
Sample Experiment

Analysis of eye-tracking data in marketing research has traditionally relied upon regions of interest (ROIs) methodology or the use of heatmaps. Clear disadvantages exist for both methods. Addressing this gap, the current research applies spatiotemporal scan statistics to the analysis and visualisation of eye tracking data. Results of a sample experiment using anthropomorphic car faces demonstrate several advantages provided by the new method. In contrast to traditional approaches, scan statistics provide a means to scan eye tracking data automatically in space and time with differing gaze clusters, with results able to be comprehensively visualised and statistically assessed.

scholarly journals Survey and Classification of Automotive Security Attacks

Information ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 148 ◽  
Author(s):  
Florian Sommer ◽  
Jürgen Dürrwang ◽  
Reiner Kriesten
Keyword(s):  
Development Process ◽  
Autonomous Driving ◽  
Security Attacks ◽  
Security Testing ◽  
Automotive Systems ◽  
Threat Analysis ◽  
Development Phases ◽  
Attack Surface ◽  
Vehicle Development Process

Due to current development trends in the automotive industry towards stronger connected and autonomous driving, the attack surface of vehicles is growing which increases the risk of security attacks. This has been confirmed by several research projects in which vehicles were attacked in order to trigger various functions. In some cases these functions were critical to operational safety. To make automotive systems more secure, concepts must be developed that take existing attacks into account. Several taxonomies were proposed to analyze and classify security attacks. However, in this paper we show that the existing taxonomies were not designed for application in the automotive development process and therefore do not provide enough degree of detail for supporting development phases such as threat analysis or security testing. In order to be able to use the information that security attacks can provide for the development of security concepts and for testing automotive systems, we propose a comprehensive taxonomy with degrees of detail which addresses these tasks. In particular, our proposed taxonomy is designed in such a wa, that each step in the vehicle development process can leverage it.

A novel approach to teach the generation of bioelectrical potentials from a descriptive and quantitative perspective

2013 ◽  
Vol 37 (4) ◽  
pp. 327-336 ◽  
Author(s):  
Javier Rodriguez-Falces
Keyword(s):  
Muscle Fiber ◽  
New Method ◽  
Excitation Source ◽  
New Approach ◽  
Electrical Fields ◽  
Novel Approach ◽  
Electrophysiological Signals ◽  
Survey Results ◽  
Traditional Approaches ◽  
Extracellular Potentials

In electrophysiology studies, it is becoming increasingly common to explain experimental observations using both descriptive methods and quantitative approaches. However, some electrophysiological phenomena, such as the generation of extracellular potentials that results from the propagation of the excitation source along the muscle fiber, are difficult to describe and conceptualize. In addition, most traditional approaches aimed at describing extracellular potentials consist of complex mathematical machinery that gives no chance for physical interpretation. The aim of the present study is to present a new method to teach the formation of extracellular potentials around a muscle fiber from both a descriptive and quantitative perspective. The implementation of this method was tested through a written exam and a satisfaction survey. The new method enhanced the ability of students to visualize the generation of bioelectrical potentials. In addition, the new approach improved students' understanding of how changes in the fiber-to-electrode distance and in the shape of the excitation source are translated into changes in the extracellular potential. The survey results show that combining general principles of electrical fields with accurate graphic imagery gives students an intuitive, yet quantitative, feel for electrophysiological signals and enhances their motivation to continue their studies in the biomedical engineering field.

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