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The aim of this paper is to optimize flow distribution on various ports of the ventilation unit. To improve the passenger comfort, ventilation unit need to be redesigned to get the uniform distribution in all ducts. There were challenges for the design modification on the unit to meet the distribution. The major challenge was to meet the distribution on the duct outlet without doing any design changes on the ducts. Hence the adapter which is the intermediate part between the blower and duct assembly is modified and simulation is done on the various design changes by changing the design of the adaptor part. CFD analysis is carried out on the ventilation unit with iterative design changes and achieved the target airflow and distribution. The analysis has been carried out on STAR CCM+ software.

Maintaining thermal comfort is one of the key areas in vehicle HVAC design wherein airflow distribution inside the cabin is one of the important elements in deciding comfort sensation. However, the energy consumption of air conditioning system needs to stay within the efficient boundaries to efficiently cool down the passenger cabin otherwise the vehicle energy consumption may get worsened to a great extent. One approach to optimize this process is by using numerical methods while developing climate systems. The present paper focuses on the numerical study of cabin aiming and cabin cool-down of a passenger car by using computational fluid dynamics (CFD). The main goal is to investigate the cabin aiming with a view to figure out the minimum average velocity over the passengers at all vent positions. Cabin aiming ensures substantial amount of airflow reaches to the passengers as well as every corners of the cabin across the wide climatic range.

As the global warming due to carbon footprint is very alarming, vehicle emissions are getting stringent day by day. In such situation vehicle hybridization or fully electric vehicles are of obvious choices. However in any of the cases the battery cooling is a big concern area. As the heat produced by the battery need to be dissipated in the long run, it is of utmost need to develop and understand the battery cooling system. Present paper describes the experimental investigation of a battery cooling circuit. A complete bench comprising of both primary and secondary circuit is used for the testing. The primary circuit has a cooling unit with TXV, condenser and electric compressor run by high voltage. The secondary circuit consists of a chiller (integrated with TXV) unit responsible for battery cooling. The whole circuit typically resembles with one of dual air conditioning unit and uses one of known refrigerant used in vehicle AC system.

For an automotive exhaust system, noise level and back pressure are the most important parameters for passenger comfort and engine performance respectively. The sound quality perception of the existing silencer design was unacceptable, although the back pressure measured was below the target limit. To improve the existing design, few concepts were prepared by changing the internal elements of silencer only. The design constraints were the silencer shell dimensions, volume of silencer, inlet pipe and outlet tailpipe positions, which had to be kept same as that of the existing base design. The sound quality signal replaying and synthesizing was performed to define the desired sound quality. The numerical simulation involves 3D computational fluid dynamics (CFD) with appropriate boundary condition having less numerical diffusions to predict the back pressure. The various silencer concepts developed with this preliminary analysis, was then experimentally verified with the numerical data.

An automotive exhaust system composed of several elements is one of the most important aggregates in a vehicle in defining the engine efficiency and passenger comfort. Therefore it is very essential to understand the flow characteristics inside the exhaust system thoroughly to keep the back pressure and noise level well within the limit. The recent widespread use of three-dimensional (3-D) numerical tools and methods has enabled automotive engineers to predict the performance of exhaust system at the early stages of vehicle program. The present paper describes the application of 3-D computational fluid dynamics (CFD) using Fluent (V12.0) in an automotive exhaust system to predict the back pressure and noise concurrently. A 3-D computational domain consisting of exhaust runner/downpipe, catalytic-converter (CAT-CON), silencer with internal details and tail pipe was generated.

A Automotive Air Conditioning is the process of removing heat and moisture from the interior of an occupied space to improve comfort of occupants. Heating, ventilation, and air conditioning (HVAC) is the technology of indoor and vehicular environmental comfort. Its goal is to provide thermal comfort and acceptable indoor air quality. HVAC systems can be used in both domestic and commercial environments. It is made of Plastic material and fitted inside the front dash panel, therefore, subjected to very high vibrations coming from engine & road. The main Objective is to remove unwanted vibrations by altering the modal frequency. From the FEA, very high deflection, cause unwanted vibrations reported on the HVAC assembly at low frequency (1st modal frequency) under dynamic conditions. Then, improved the design by adding the stiffeners on the flange to minimize that high deflection. Thereafter, modal frequency has been increased and reduced the high deflection.

Heating, ventilation and air conditioning systems play a crucial role in our day-to-day activities. With rise in global warming, leading to climate change, HVAC unit is the need of the hour. With average temperatures on the rise, it is quite imperative that the unit provides better thermal comfort to the passengers. Off-road vehicles like tractor, is also no exclusion. Tractor drivers have to experience adverse weather conditions out in the open field. Thus it is quite fundamental that sufficient airflow reaches every point inside the driver cabin, ensuring proper cool-down. To ensure proper distribution of airflow inside the cabin, optimization of HVAC unit needs to be properly carried out. The present study shows how an HVAC of an off-road vehicle is properly optimized with the help of Computational Fluid Dynamics. STAR-CCM+ v2021.2.1 is used as solver for the simulation.

With the transition from Internal Combustion Engines Vehicles (ICEVs) to Electric or Hybrid Electric Vehicles (EVs/HEVs), most of the system aggregates and system parameters need to be redefined and recalibrated. This is mainly due to the change in power and transmission system. One of the critical system aggregates is heating ventilating and air-conditioning (HVAC) system as it directly impacts the car interior noise (other than passenger comfort) across all speed ranges. At low speed, interior noise becomes more annoying due to HVAC and electromagnetic noise from traction motor. However, at high speed other auxiliary noise sources are added up to the overall noise sources. Hence it becomes necessary to design and develop the HVAC system which should produce no abnormal noise and overall noise becomes low. The advancement of numerical simulation plays an important role in finalizing the HVAC design and also provides better insight of the products.

The present paper outlines the selection and numerical modeling of a high performance and efficient blower motor fitted in an automotive Heating ventilation and air conditioning (HVAC) system. In today’s scenario blower motor is present in almost every car whether fitted with AC system or only blower system. The selection of a blower motor is very important in terms of delivering right amount of airflow with minimum consumption of electric power. As the power consumption goes up it may impacts in indirect green house gas (GHG) emission from a vehicle. While it does so e.g. fulfills HVACs’ airflow need, it generates some amount of heat which is very detrimental for its life and overall performance as well. Also the generated heat may lead to increase in temperature of the main stream air flow causing reduction in the cabin cooling and eventually hampers the comfort level.

The aim of this paper is to analyze Train Driver Cabin AC kit to improve performance of Rail AC unit. First CFD analysis has been carried out on the existing design to find the airflow on the condenser side. Based on the analysis result, design modification has been done to improve the air flow on the condenser side and thereby improving the cooling capacity of the unit. CAE analysis has been carried out to strengthen mount brackets of condenser fan. With the design changes, there is significant improvement found on the structural integrity. Modal frequency improved and dynamic stress been reduced. Based on final modified design, proto was developed, tested and found OK which further verified with CAE/CFD results.CAE analysis has been carried out using ABAQUS/Hypermesh software and CFD using STAR CCM+.

As the automotive industry is transitioning from conventional engine driven to electric battery driven, many of the vehicle aggregates are getting re-engineered and changing accordingly. Being air-conditioning manufacturer one of the aggregates that needs attention and focused effort is the Heating Ventilation and Air Conditioning system (HVAC). Acoustic comfort of electric vehicle gets impacted due to the HVAC noise in absence of engine and hence other noise sources becomes prominent which were earlier masked by the engine noise. It is important to understand the HVAC noise sources for implementing right countermeasures for masking the noise. There are three methods of noise source identification namely acoustical duct method, cocooning or lead covering method and near field method. Out of these method, acoustical duct method and near field methods are used for minor and major noise identification in this study.

As HVAC noise is becoming one of the key factors to end users in terms of enhanced comfort, it is important to understand and evaluate various noise sources of HVAC in details. With detailed understanding of various sources, it becomes easier to take appropriate countermeasures in design and subsequently eliminate. There are many methods available in industry to investigate the noise sources in details however those options are expensive and time consuming and require deep understanding of the acoustic. Acoustical duct methods are one such method which proves to be very much helpful in identifying the noise sources from different aggregates like kinematics mechanism, door/damper, servomotors, heat exchangers etc. These sources are typically defined minor noise sources. The present paper describes the detailed investigation of those minor noise sources through the use of acoustical duct method. An existing HVAC from passenger car was considered for this study.