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Technical Paper

Prediction of water film thickness due to condensation over instrument cluster based on Eulerian Wall Film approach of computational fluid dynamics

2024-10-17
2024-28-0009
This paper investigates the condensation within a two wheeler instrument cluster in different weather conditions. Instrument cluster have high heating components within its assembly particularly over Printed Circuit Board (PCB) which leads to formation of condensation. Air breathers are important component that can be utilized to reduce the condensation in the cluster. Location and orientation of air breather and air vents plays the vital role in the air flow through the instrument cluster. In this study, number of breather and their location and orientation is optimized to reduce the condensation or film thickness on the crystal (transparent body) of cluster. Transient Computational Fluid Dynamics (CFD) based Eulerian Wall Film approach is utilized to investigate the physics administering the condensation phenomenon in the instrument cluster. Experimental tests are conducted to investigate condensation phenomenon actually occurring in the model.
Technical Paper

Predicting Full Vehicle Drag Coefficient using a Convoluted Neural Network Approach

2024-10-17
2024-28-0007
Artificial Intelligence (AI) and Machine Learning (ML) technologies have emerged as transformative forces across various domains, revolutionizing industries, and reshaping societal paradigms. In this work, we show how a CNN model was used in the field of CFD to predict drag coefficient of a full vehicle profile. A brief description is also provided of the data set used for training and fitting the prediction model. This was done using the integrated AI/ ML technology in the DEP MeshWorks tool focusing on quick design iterations and results generation. The design advisor function within MeshWorks is an intelligent system that comprehends the real-time prediction of the responses such as model stiffness, frequency and others related to durability, NVH or CFD domain, on a model building phase without needing to run the post-processing for every design iteration.
Technical Paper

Numerical Investigation on Performance Based Methodology for Developing the Vane design of AC Duct

2024-10-17
2024-28-0004
To ensure proper airflow distribution inside the cabin, the AC duct vanes' ability to direct airflow must be evaluated. Objective of this work is to propose a methodology for developing the vane design of AC system duct. CFD based factorial analysis was conducted using three components at three levels. The impact of number of horizontal vanes, number of vertical vanes and distance between them on the pressure drop and face level velocity are investigated. It was observed that when the number of vertical vanes are increased, the vane's ability to direct airflow rises. In this situation, the pressure drop increases as well. When the number of horizontal vanes exceeds a specific threshold, the vane's capacity to steer airflow declines. In literature, it can be noted that a greater number of research are available that focus on the relationship between human thermal comfort and vent position.
Technical Paper

Numerical And Experimental Investigation Of Water Cooled Reciprocating Air Compressor Used in Automotive Applications

2024-10-17
2024-28-0014
Most of the heavy commercial vehicles are installed with Pneumatic brake system where the medium is a pressurized pneumatic air generated with the reciprocating air compressor. Heating is an undesirable effect of the compression process during loading cycles as reciprocating air compressors are concerned. There fore it is necessary to reduce the delivery air temperature of compressor for safer operation of down stream products. The present investigation deals with the measurement of the delivery air tempearture of a typical 318 cc water cooled compressor. A through steady state conjugate heat transfer analysis is conducted for different speed and different cooling water flow rate to compare the delivery air temperature. Pressure drop across the cooling water flow path has been measured and optimum flow rate is arrived to meet the design requirement.
Technical Paper

Design Optimization of Heat Transfer in Automotive Battery Using Generalized Neural Network Regression

2024-10-17
2024-28-0024
Electrification is driving the use of batteries for a range of automotive applications, including propulsion systems. Effective management of thermal energy in lithium-ion battery pack is essential for both performance and safety. In automotive applications especially, understanding and managing thermal energy becomes a critical factor. Cells in the propulsion battery pack dissipate heat at high discharge rates. Cooling performance of battery can be realized by optimizing the various parameters. Computational Fluid Dynamics (CFD) model build and simulations are resource intensive and demands high performance computing. Traditionally, evaluating thermal performance involves time-consuming CFD simulations. To address this challenge, the proposed novel approach using Generalized Neural Network Regression (GNNR) eliminates complex CFD model building and significantly reduce simulation time. GNNR achieves up to 85% accuracy in predicting heat transfer coefficient.
Technical Paper

Design Optimization of Air Duct for Noise Reduction Using Gaussian Process Regression Algorithm

2024-10-17
2024-28-0042
In the context of Battery Electric Vehicles (BEVs), airborne noise from Heating, Ventilation and Air Conditioning (HVAC) ducts becomes a prominent concern in the view of passenger comfort. The automotive industry traditionally leverages Computational Fluid Dynamic (CFD) simulation to refine HVAC duct design and physical testing to validate acoustic performance. Optimization of the duct geometry using CFD simulation is a time-consuming process as various design configurations of the duct have to be studied for best acoustic performance. To address this issue effectively, the proposed a novel methodology uses Gaussian Process Regression (GPR) to minimize duct noise. Present solution demonstrates the power of machine learning (ML) algorithms in selecting the optimal duct configuration to minimize noise. Utilizing both real test data and CFD results, GPR achieves remarkable accuracy in design validation, especially for HVAC air ducts.
Technical Paper

Piston and Guide-Pin Rattle Noise Mitigation in Electro-Mechanical Brake Caliper

2024-09-08
2024-01-3032
The hydraulic brake caliper utilizes pressurized brake fluid to actuate one or multiple pistons generating friction between the brake pads and disc. Calipers are classified into floating and fixed type caliper. Floating caliper slides inboard/outboard direction to apply and release pressure on the outer pad. This type of caliper has rubber or spring components to maintain specific clearance for sliding characteristics. Therefore, caliper rattle noise could occur due to wheel vibrations when the vehicle is driven on unpaved roads or rough surfaces. Rattle noise is particularly pronounced in front calipers positioned closer to the driver and its susceptibility tends to increase with the weight of the caliper. The Electro-Mechanical Brake (EMB) caliper has gained substantial attention in automotive industry for its advantages features including reduced brake drag, optimized vehicle layout and precise brake control.
Technical Paper

Glow-discharge Optical Emission Spectroscopy Study of Cr(III) Sealing in Anodized Aluminium-Silicon Alloys for Brake Component

2024-09-08
2024-01-3038
Calipers and pistons for high-end car braking systems are typically realized using anodized Aluminium-Silicon alloys. Indeed, Aluminium-Silicon alloys are light materials with optimal mechanical properties and, when anodized, excellent corrosion and wear resistances. To achieve these top-notch surface properties, the anodizing process is followed by a sealing post-treatment, which significantly improves the corrosion resistance and tunes the tribological properties (e.g., hardness and friction coefficient) of the anodized pieces. Sealing consists in the precipitation of insoluble hydroxides and functional compounds (e.g., corrosion inhibitors) inside the nano-pores of the anodic layer. Nevertheless, sealing might not penetrate through all the nano-porous structure of the anodic layer. Thus, in light of possible post-machining of sealed, anodized components, it appears fundamental to develop a tool to determine the depth penetration of sealing inside the anodic layer.
Technical Paper

Analysis of Motor Cooling Lines of Electric Buses with 1D Models and Verification with Experiments

2024-07-18
2024-01-5070
Improving the overall thermal management strategy in electric vehicles can directly or indirectly improve battery efficiency and vehicle range. The aim of this study is to simulate and improve the performance of motor cooling lines developed for an electric bus using 1D computational fluid dynamics models. In the study, simulation studies were carried out for the 12-m EV Citivolt vehicle of Anadolu Isuzu. Design parameters such as placement of flow lines and component selection were decided thanks to 1D models developed. The design obtained at the end of the study was supported by tests and experimental studies. As a result, it was seen that the components in the line correctly detected the flow rate and pressure losses with a maximum error rate of 8% and an average error rate of 4.8%. Additionally, the components on the line were added to the model via their own characteristic dp-Q curves.

Social Media Toolkit - 2023 Government Industry Meeting

2024-07-13
Annual conference government policy, regulatory makers, automotive industry neutral forum discuss US government regulation, technology, customer acceptance future vehicle design. industry event safety, emission control, fuel efficiency, automated vehicles.
Event

2024-07-13
Event

2022 COMVEC™

2024-07-13
COMVEC™ conference is the only North American event that addresses vehicles and equipment spanning on-highway, off-highway, agricultural, construction, industrial, military, and mining sectors.
Event

2024-07-13
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