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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1236
CFD modelling calculation and simulation of bus
Sagar Verma1, Dr. Rahul joshi2, Dr. Mayank Ladha3, Mr. Manoj sharma4,
1ME Student, Swami Vivekanand College of Engineering
2Associate Professor, Swami Vivekanand College of Engineering
3 Associate Professor, Swami Vivekanand College of Engineering
4Assistant Professor, Swami Vivekanand College of Engineering
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The study of his project is to be concentrated on
CFD analysis of bus interior for optimization of thermal
comfort for the entire passenger in a bus that is available in
market. For the upcoming market the need of greener city
transportation is on the peak the busses will play as the life
line of transportation and main challenges of buses is to
optimize the design for the minimum consumption of power
and maintain safety and comfort for the passenger. This study
will works in this direction the aim of the study is to formulate
CFD analysis using CFD tool to optimizethepassengercomfort
in the bus the main objective to work within a given
specifications of dimensions, electrical power requirement of
bus AC, and other system to be fulfilled under norms issued by
authorities and doing changes tomaximizetheeffectivenessof
AC for individual passengers.
Key Words: CFD, Fluent, polyhedral mesh
1. INTRODUCTION
Computational fluid dynamics (CFD) is a technique of fluid
mechanics that uses mathematical numerical analysis and
applied data with its physical properties such as pressure,
velocity, temperature, density and viscosity to solve and
analyze problems that involve fluid flows.
1.1 CFD simulation
The city public transportation bus has the purpose of
transporting numerous people and is considered a
sustainable means of transportation. The problems that are
faced by the electrical vehicles are the overheating of
passenger cabin due to lack of proper ventilations in hot
sunny days and quick draining of battery or decreasing the
efficiency of vehicle. The paper is focused on increasing
effectiveness of AC considering following parameters.
AC performance depends on geometry & operating
parameter
1.2 Geometrical parameters and operating parameters
⮚ Geometrical parameter
1. Duct shape and size
2. Cabin size
3. Windows area
4. Insulating properties of bus structure
⮚ Operating parameter
1. Ambient temperature
2. Flow velocity of cooling spots in duct above
passenger
3. Bus operating velocity and relative position of sun
4. Engine speed and internal heat generation
2. MESH SIZE DETERMINATION
2.1 Methodology to determine mesh size
Mesh size for CFD flow problem depends upon the
turbulence model of CFD that has to be use, velocity of flow
in model and use of wall function. For getting some initial
data of all this we are running simulation with course mesh.
2.2 Initial CFD simulation
Mesh size for initial simulation is 50mm is solved initially
with boundary conditions shown in fig.1 the initial Results
shown below
Fig -1: Velocity volume rendering of initial simulation
2.3 Data and calculations from data obtained by initial CFD
simulation
Description
Max. Velocity
of air
Importance in
simulation
Passenger sitting area 15 m/sec High
Inside duct 40 m/sec moderate
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1237
Lobby area 5 m/sec low
Driver cabin 8 m/sec High
Around passenger
windows
5 m/sec High
Table -1: Velocity obtained by initial run of bus
2.3.1 Turbulence calculation
Velocity = 40m/sec
Characteristic length = 1 m
Kinematic viscosity of air = 1.4207E-5 m2/sec
Using
Reynolds number = ρVl/µ
Where
V= Velocity of the fluid
l= the characteristics length
µ/ρ= Kinematic viscosity
Reynolds number = 2815513
Since the Reynolds number is high thus flow can be
considered as reliable for free-shear flowsthusk-ϵrealizable
turbulence model will be appropriate for the problem.
Generally when you building grid for RANS model of k-
epsilon the target value of y+ should be between 30 and 300.
The y+ depends on friction velocity u*=sqrt(Tw/rho) where
Tw is wall shear stress, element distance to the nearest wall
and local kinematic viscosity.
For this problem we are targeting y+ value of 100 as wall
shear is not that important in our problem
2.3.2 Calculation for first cell height and 2D mesh size
Using
Cf= f(Re) ; Tw=(CfρU2)/2
uT=sqrt(Tw/ρ) ; Δy=y+µ/uT ρ
Since allowed aspect ratio is 10 to 15 in first prism layer
thus 2D mesh size will be equal to 10x of first cell thickness.
Description
V(m/s
ec)
First cell
height
2Delement
size
Passenger sitting
area
15 2.354 mm 23.54 mm
Inside duct 40 0.959 mm 9.59 mm
Lobby area 5 6.38 mm 63.8 mm
Driver cabin 8 4.17 mm 41.7 mm
Around passenger
windows
5 6.38 mm 63.8 mm
Table -2: first cell height and 2D elements size calculated
values
2. CFD SIMULATION CONSIDERATIONS
For simulation we used a bus that is commercially available
whose geometry is defined below.
Fig -2: Boundary conditions for CFD of bus
Considering operating condition of bus in warm
environment with direct application of sunlight and full
capacity AC application the following parameters can be
considered.
Table -3: Boundary conditions
2.1 AC cold air flow in duct calculations
Inputs by ac manufacturer
Air flow of blower: 110 m3/min
Ac capacity: 9 ton
Description Value Reference
Ambient air
temperature
34˚C
Average
temperature in
warm day
Heat from
windows
250 W/m2 Solar heat flux
Mass flow rate of
cold air
2.24583 kg/s Calculated below
Cold air
temperature
17.9˚C Calculated below
Passenger
manikin
temperature
37 ˚C
Average human
body
temperature
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1238
Heat rejection rate (watt) =10.34 ton × 3500=36389 J/sec
Mass flow rate of air = density of air × Volume flow rate
=1.225 kg/m3 × 110 m3/min
=134.78 kg/min = 2.24583 kg/s
Heat rejection by air = mass flow ×specificheatcapacity
× temperature difference
36389 J/sec = 2.24583 kg/s ×1006.43J/kg-˚C×temperature
difference
Temperature difference = 16.1 ˚C
Cold air temperature = ambient temperature -
Temperature difference
Cold air temperature = 34 ˚C - 16.1 ˚C = 17.9 ˚C
Fig -3: Geometry of manikin and seat in bus
2.2 Modelling for CFD
For modelling we uses hypermesh as preprocessor and
created 2D shell mesh and for making polyhedral cells we
used fluent.
Fig -4: Polyhedral meshed model
Fig 5: Seating layout
2.3. CFD SIMULATION RESULTS
Fig 6. Contour of temperature
From the Contour one caneasilyidentifiestheregionwhichis
hotter like in middle of bus near windows we can identifies
some discomfort in passenger. The same thing can be
confirms if we plot horizontal sections of contour shown
below.
Fig 7. Contour of air velocity
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1239
From the above contour one can easily finds the middle
portion has higher temperature and low air velocity thus
passenger in the middle will feel less comfortable.
3. CONCLUSIONS
• The temperature around the occupant seems to be
ok, somehow there are certainregions warmernear
the windows and temperature around the middle
region is not uniformly distributed.
• Air velocity in the middle of bus is quite low
• Modification in duct to provide higher flow of air in
middle can solve the problem
ACKNOWLEDGEMENT
Dr. Pradeep kr Patil5
5Professor, Swami Vivekanand College of Engineering For
giving huge support in research and development of model.
REFERENCES
[1] Parametric Investigation Using Computational Fluid
Dynamics of the HVAC Air Distribution in a Railway
Vehicle for Representative Weather and Operating
Conditions PUBLISED IN Energies 2017, 10(8),
1074; https://doi.org/10.3390/en10081074
[2] Numerical Simulation of the Thermal Comfort in a
Model of a Passenger Car Cabin, January 2016
[3] Notes on Numerical Fluid Mechanics and
Multidisciplinary Design 132
[4] On the Possibility of CFD Modeling of the Indoor
Environment in a Vehicle, Sustainable Solutions for
Energy and Environment, EENVIRO 2016, 26-28
October 2016, Bucharest, Romania
[5] Nitin S. Gokhale, Sanjay S. Despande, Dr. Anand N.
Thite, "Practical Finite Element Analysis", Finite To
Infinite, India, 2007.
[6] 2-D CFD analysis of passenger compartment for
thermal comfort and ventilation;International Journal
of Engineering and ManufacturingScience.ISSN 2249-
3115 Vol. 7, No. 1 (2017)
[7] Evaluation of Cabin Comfort in Air Conditioned Buses
Using CFD ; 2014-01-0699
[8] Cfd Analysis Of Air Flow And Temperature
Distribution In An Air Conditioned Car; International
Refereed Journal of Engineering and Science (IRJES)
ISSN (Online) 2319-183X, (Print) 2319-1821 Volume
2, Issue 4
[1] Numerical Simulation of the Flow in a Passenger
Compartment and Evaluation of the Thermal Comfort
of the Occupants; SAE Transactions; Vol. 106, Section
6: JOURNAL OF PASSENGER CARS: Part 1 (1997), pp.
806-816 (11 pages)
[2] Cfd analysis on aerodynamic effects on a passenger
car; International Research Journal ofEngineeringand
Technology (IRJET) e-ISSN: 2395-0056 Volume: 04
Issue: 09 | Sep -2017
[3] Numerical Study on Human Thermal Comfort in a
Passenger Train; TransactionsoftheKoreanSocietyof
Automotive Engineers
Sagar Verma
ME Student,
Swami Vivekanand College of
Engineering
Dr. Rahul joshi
Associate Professor,
Swami Vivekanand College of
Engineering
Dr. Mayank Ladha
Associate Professor,
Swami Vivekanand College of
Engineering
Mr. Manoj sharma
Assistant Professor,
Swami Vivekanand College of
Engineering
BIOGRAPHIES

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CFD modelling calculation and simulation of bus

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 06 | Jun 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1236 CFD modelling calculation and simulation of bus Sagar Verma1, Dr. Rahul joshi2, Dr. Mayank Ladha3, Mr. Manoj sharma4, 1ME Student, Swami Vivekanand College of Engineering 2Associate Professor, Swami Vivekanand College of Engineering 3 Associate Professor, Swami Vivekanand College of Engineering 4Assistant Professor, Swami Vivekanand College of Engineering ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The study of his project is to be concentrated on CFD analysis of bus interior for optimization of thermal comfort for the entire passenger in a bus that is available in market. For the upcoming market the need of greener city transportation is on the peak the busses will play as the life line of transportation and main challenges of buses is to optimize the design for the minimum consumption of power and maintain safety and comfort for the passenger. This study will works in this direction the aim of the study is to formulate CFD analysis using CFD tool to optimizethepassengercomfort in the bus the main objective to work within a given specifications of dimensions, electrical power requirement of bus AC, and other system to be fulfilled under norms issued by authorities and doing changes tomaximizetheeffectivenessof AC for individual passengers. Key Words: CFD, Fluent, polyhedral mesh 1. INTRODUCTION Computational fluid dynamics (CFD) is a technique of fluid mechanics that uses mathematical numerical analysis and applied data with its physical properties such as pressure, velocity, temperature, density and viscosity to solve and analyze problems that involve fluid flows. 1.1 CFD simulation The city public transportation bus has the purpose of transporting numerous people and is considered a sustainable means of transportation. The problems that are faced by the electrical vehicles are the overheating of passenger cabin due to lack of proper ventilations in hot sunny days and quick draining of battery or decreasing the efficiency of vehicle. The paper is focused on increasing effectiveness of AC considering following parameters. AC performance depends on geometry & operating parameter 1.2 Geometrical parameters and operating parameters ⮚ Geometrical parameter 1. Duct shape and size 2. Cabin size 3. Windows area 4. Insulating properties of bus structure ⮚ Operating parameter 1. Ambient temperature 2. Flow velocity of cooling spots in duct above passenger 3. Bus operating velocity and relative position of sun 4. Engine speed and internal heat generation 2. MESH SIZE DETERMINATION 2.1 Methodology to determine mesh size Mesh size for CFD flow problem depends upon the turbulence model of CFD that has to be use, velocity of flow in model and use of wall function. For getting some initial data of all this we are running simulation with course mesh. 2.2 Initial CFD simulation Mesh size for initial simulation is 50mm is solved initially with boundary conditions shown in fig.1 the initial Results shown below Fig -1: Velocity volume rendering of initial simulation 2.3 Data and calculations from data obtained by initial CFD simulation Description Max. Velocity of air Importance in simulation Passenger sitting area 15 m/sec High Inside duct 40 m/sec moderate
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 06 | Jun 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1237 Lobby area 5 m/sec low Driver cabin 8 m/sec High Around passenger windows 5 m/sec High Table -1: Velocity obtained by initial run of bus 2.3.1 Turbulence calculation Velocity = 40m/sec Characteristic length = 1 m Kinematic viscosity of air = 1.4207E-5 m2/sec Using Reynolds number = ρVl/µ Where V= Velocity of the fluid l= the characteristics length µ/ρ= Kinematic viscosity Reynolds number = 2815513 Since the Reynolds number is high thus flow can be considered as reliable for free-shear flowsthusk-ϵrealizable turbulence model will be appropriate for the problem. Generally when you building grid for RANS model of k- epsilon the target value of y+ should be between 30 and 300. The y+ depends on friction velocity u*=sqrt(Tw/rho) where Tw is wall shear stress, element distance to the nearest wall and local kinematic viscosity. For this problem we are targeting y+ value of 100 as wall shear is not that important in our problem 2.3.2 Calculation for first cell height and 2D mesh size Using Cf= f(Re) ; Tw=(CfρU2)/2 uT=sqrt(Tw/ρ) ; Δy=y+µ/uT ρ Since allowed aspect ratio is 10 to 15 in first prism layer thus 2D mesh size will be equal to 10x of first cell thickness. Description V(m/s ec) First cell height 2Delement size Passenger sitting area 15 2.354 mm 23.54 mm Inside duct 40 0.959 mm 9.59 mm Lobby area 5 6.38 mm 63.8 mm Driver cabin 8 4.17 mm 41.7 mm Around passenger windows 5 6.38 mm 63.8 mm Table -2: first cell height and 2D elements size calculated values 2. CFD SIMULATION CONSIDERATIONS For simulation we used a bus that is commercially available whose geometry is defined below. Fig -2: Boundary conditions for CFD of bus Considering operating condition of bus in warm environment with direct application of sunlight and full capacity AC application the following parameters can be considered. Table -3: Boundary conditions 2.1 AC cold air flow in duct calculations Inputs by ac manufacturer Air flow of blower: 110 m3/min Ac capacity: 9 ton Description Value Reference Ambient air temperature 34˚C Average temperature in warm day Heat from windows 250 W/m2 Solar heat flux Mass flow rate of cold air 2.24583 kg/s Calculated below Cold air temperature 17.9˚C Calculated below Passenger manikin temperature 37 ˚C Average human body temperature
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 06 | Jun 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1238 Heat rejection rate (watt) =10.34 ton × 3500=36389 J/sec Mass flow rate of air = density of air × Volume flow rate =1.225 kg/m3 × 110 m3/min =134.78 kg/min = 2.24583 kg/s Heat rejection by air = mass flow ×specificheatcapacity × temperature difference 36389 J/sec = 2.24583 kg/s ×1006.43J/kg-˚C×temperature difference Temperature difference = 16.1 ˚C Cold air temperature = ambient temperature - Temperature difference Cold air temperature = 34 ˚C - 16.1 ˚C = 17.9 ˚C Fig -3: Geometry of manikin and seat in bus 2.2 Modelling for CFD For modelling we uses hypermesh as preprocessor and created 2D shell mesh and for making polyhedral cells we used fluent. Fig -4: Polyhedral meshed model Fig 5: Seating layout 2.3. CFD SIMULATION RESULTS Fig 6. Contour of temperature From the Contour one caneasilyidentifiestheregionwhichis hotter like in middle of bus near windows we can identifies some discomfort in passenger. The same thing can be confirms if we plot horizontal sections of contour shown below. Fig 7. Contour of air velocity
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 06 | Jun 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1239 From the above contour one can easily finds the middle portion has higher temperature and low air velocity thus passenger in the middle will feel less comfortable. 3. CONCLUSIONS • The temperature around the occupant seems to be ok, somehow there are certainregions warmernear the windows and temperature around the middle region is not uniformly distributed. • Air velocity in the middle of bus is quite low • Modification in duct to provide higher flow of air in middle can solve the problem ACKNOWLEDGEMENT Dr. Pradeep kr Patil5 5Professor, Swami Vivekanand College of Engineering For giving huge support in research and development of model. REFERENCES [1] Parametric Investigation Using Computational Fluid Dynamics of the HVAC Air Distribution in a Railway Vehicle for Representative Weather and Operating Conditions PUBLISED IN Energies 2017, 10(8), 1074; https://doi.org/10.3390/en10081074 [2] Numerical Simulation of the Thermal Comfort in a Model of a Passenger Car Cabin, January 2016 [3] Notes on Numerical Fluid Mechanics and Multidisciplinary Design 132 [4] On the Possibility of CFD Modeling of the Indoor Environment in a Vehicle, Sustainable Solutions for Energy and Environment, EENVIRO 2016, 26-28 October 2016, Bucharest, Romania [5] Nitin S. Gokhale, Sanjay S. Despande, Dr. Anand N. Thite, "Practical Finite Element Analysis", Finite To Infinite, India, 2007. [6] 2-D CFD analysis of passenger compartment for thermal comfort and ventilation;International Journal of Engineering and ManufacturingScience.ISSN 2249- 3115 Vol. 7, No. 1 (2017) [7] Evaluation of Cabin Comfort in Air Conditioned Buses Using CFD ; 2014-01-0699 [8] Cfd Analysis Of Air Flow And Temperature Distribution In An Air Conditioned Car; International Refereed Journal of Engineering and Science (IRJES) ISSN (Online) 2319-183X, (Print) 2319-1821 Volume 2, Issue 4 [1] Numerical Simulation of the Flow in a Passenger Compartment and Evaluation of the Thermal Comfort of the Occupants; SAE Transactions; Vol. 106, Section 6: JOURNAL OF PASSENGER CARS: Part 1 (1997), pp. 806-816 (11 pages) [2] Cfd analysis on aerodynamic effects on a passenger car; International Research Journal ofEngineeringand Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 [3] Numerical Study on Human Thermal Comfort in a Passenger Train; TransactionsoftheKoreanSocietyof Automotive Engineers Sagar Verma ME Student, Swami Vivekanand College of Engineering Dr. Rahul joshi Associate Professor, Swami Vivekanand College of Engineering Dr. Mayank Ladha Associate Professor, Swami Vivekanand College of Engineering Mr. Manoj sharma Assistant Professor, Swami Vivekanand College of Engineering BIOGRAPHIES