Boiling and Condensation heat transfer -- EES Functions and Procedurestmuliya
This file contains notes on Engineering Equation Solver (EES) Functions and Procedures for Boiling and Condensation heat transfer. Some problems are also included.
These notes were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India.
Contents: Summary of formulas used -
EES Functions/Procedures for boiling: Nucleate boiling heat flux for any geometry - critical heat flux for large horizontal surface, horizontal cylinder and sphere - Film boiling for horizontal cylinder, sphere and horizontal surface – Problems.
EES Functions/Procedures for condensation of: steam on vertical surface – any fluid on a vertical surface – steam on vertical cylinder – any fluid on vertical cylinder – steam on horizontal cylinder – any fluid on horizontal cylinder – steam on a horizontal tube bank – any fluid on horizontal tube bank – any fluid on a sphere – any fluid inside a horizontal cylinder - Problems.
It is hoped that these notes will be useful to teachers, students, researchers and professionals working in this field.
A QUICK ESTIMATION METHOD TO DETERMINE HOT RECYCLE REQUIREMENTS FOR CENTRIFUG...Vijay Sarathy
Turbomachinery Engineers often conduct studies to determine if a hot gas bypass is required for a given centrifugal compressor system. This would mean building a process model and simulating it for Emergency Shutdown conditions (ESD) & Normal Shutdown conditions (NSD) to check if the compressor operating point crosses the surge limit line (SLL). A quick estimation method that uses dimensionless number called the inertia number can be used to check prior to the study, if a Hot gas bypass (a.k.a. Hot Recycle) is required in addition to an Anti-surge line (ASV or a.k.a Cold Recycle).
Boiling and Condensation heat transfer -- EES Functions and Procedurestmuliya
This file contains notes on Engineering Equation Solver (EES) Functions and Procedures for Boiling and Condensation heat transfer. Some problems are also included.
These notes were prepared while teaching Heat Transfer course to the M.Tech. students in Mechanical Engineering Dept. of St. Joseph Engineering College, Vamanjoor, Mangalore, India.
Contents: Summary of formulas used -
EES Functions/Procedures for boiling: Nucleate boiling heat flux for any geometry - critical heat flux for large horizontal surface, horizontal cylinder and sphere - Film boiling for horizontal cylinder, sphere and horizontal surface – Problems.
EES Functions/Procedures for condensation of: steam on vertical surface – any fluid on a vertical surface – steam on vertical cylinder – any fluid on vertical cylinder – steam on horizontal cylinder – any fluid on horizontal cylinder – steam on a horizontal tube bank – any fluid on horizontal tube bank – any fluid on a sphere – any fluid inside a horizontal cylinder - Problems.
It is hoped that these notes will be useful to teachers, students, researchers and professionals working in this field.
A QUICK ESTIMATION METHOD TO DETERMINE HOT RECYCLE REQUIREMENTS FOR CENTRIFUG...Vijay Sarathy
Turbomachinery Engineers often conduct studies to determine if a hot gas bypass is required for a given centrifugal compressor system. This would mean building a process model and simulating it for Emergency Shutdown conditions (ESD) & Normal Shutdown conditions (NSD) to check if the compressor operating point crosses the surge limit line (SLL). A quick estimation method that uses dimensionless number called the inertia number can be used to check prior to the study, if a Hot gas bypass (a.k.a. Hot Recycle) is required in addition to an Anti-surge line (ASV or a.k.a Cold Recycle).
Basic Unit Conversions for Turbomachinery Calculations Vijay Sarathy
Turbomachinery equipment like centrifugal pumps & compressors have their performance stated as a function of Actual volumetric flow rate [Q] & Head [m/bar]. The following tutorial describes how pump/compressor head can be expressed in energy terms as ‘kJ/kg’. Turbomachinery head expressed in kJ/kg describes, how many kJ of energy is required to compress 1 kg of gas for a given pressure ratio. The advantage of using energy terms to estimate absorbed power is that it is based on the amount of ‘mass’ compressed which is independent of pressure and temperature of a fluid.
Predicting Performance Curves of Centrifugal Pumps in the Absence of OEM DataVijay Sarathy
Chemical and Mechanical Engineers in the oil & gas industry often carry out the task of conducting technical studies to evaluate piping and pipeline systems during events such as pump trips and block valve failures that can lead to pipes cracking at the welded joints, pump impellers rotating in the reverse direction and damaged pipe supports due to excessive vibrations to name a few. Although much literature is available to mitigate such disturbances, a key set of data to conduct transient studies are pump performance curves, a plot between pump head and flow.
The present paper is aimed at applying engineering research in industrial applications for practicing engineers. It provides a methodology called from available literature from past researchers, allowing engineers to predict performance curves for a Volute Casing End Suction Single Stage Radial Pump. In the current undertaking, the pump in question is not specific to any one industry but the principles are the same for a Volute Casing End suction radial pump.
Fundamental Aspects of Droplet Combustion ModellingIJERA Editor
The present paper deals with important aspects of liquid droplet evaporation and combustion. A detailed
spherically symmetric, single component droplet combustion model is evolved first by solving time dependent
energy and species conservation equations in the gas phase using finite difference technique. Results indicate
that the flame diameter
F
first increases and then decreases and the square of droplet diameter decreases
linearly with time. Also, the
FD/
ratio increases throughout the droplet burning period unlike the quasi-steady
model where it assumes a large constant value. The spherically symmetric model is then extended to include the
effects of forced convection. Plots of
2 D
and droplet mass burning rate
mf
versus time are obtained for steady
state, droplet heating and heating with convection cases for a n-octane droplet of 1.3 mm diameter burning in
standard atmosphere. It is observed that the mass burning rate is highest for forced convective case and lowest
for droplet heating case. The corresponding values of droplet lifetime follow the inverse relationship with the
mass burning rate as expected. Emission data for a spherically symmetric, 100
m
n-heptane droplet burning
in air are determined using the present gas phase model in conjunction with the Olikara and Borman code [1]
with the aim of providing a qualitative trend rather than quantitative with a simplified approach. It is observed
that the products of combustion maximise in the reaction zone and NO concentration is very sensitive to the
flame temperature. This paper also discusses the general methodology and basic governing equations for
analysing multicomponent and high pressure droplet vaporisation/combustion in a comprehensible manner. The
results of the present study compare fairly well with the experimental/theoretical observations of other authors
for the same conditions. The droplet sub models developed in the present work are accurate and yet simple for
their incorporation in spray combustion codes.
Numerical Simulation of Flow in a Solid Rocket Motor: Combustion Coupled Pres...inventionjournals
Acomputational study is performed for the simulation of reactive fluid flow in a solid rocket motor chamber with pressure dependent propellant burning surface regression. The model geometry consists of a 2D end burning lab-scale motor. Complete conservation equations of mass, momentum, energy and species are solved with finite rate chemistry. The pressure dependent regressive boundary in the combustion chamber is treated by use of remeshing techniques. Hydrogen and propane combustion processes are examined. Time dependent pressure and burning rate variations are illustrated comprehensively. Temperature and species mass fraction variations are given within the flame zone. Temperature, velocity and density distributions are compared for both constant burning rate and pressure dependent burning rate simulations.
Optimization of a Shell and Tube Condenser using Numerical MethodIJERA Editor
The purpose of this study was to investigate the effect of installation of the tube external surfaces, their parameter and variable in a shell-and-tube condenser. Variation of heat transfer coefficient with each variable of shell and tube condenser was measured each test. The optimization tube outside diameter size was analyzed and use extended surface area attached tube with tube material and tube layout and arrangement (Number of tube a triangular or hexagonal arrangement) on shell-and tube condenser. The computer programming was used to get faster output in less time. Results suggest that mean heat transfer coefficient in variable condition were mainly at velocity is fixed. And also average additional surfaces and tube layout and the arrangement comparison with the quantity of the heat transfer.
Simulation and Optimization of Cooling Tubes of Transformer for Efficient Hea...IJAEMSJORNAL
Temperature variation with in the transformer affects the life and efficiency of the distribution transformer. The top oil temperature in the transformer depends on the type of cooling and cooling ducts/fins design and their layout. The present project investigates methods of onan transformer cooling system by means of increasing heat transfer rate by implanting the axial groves along with fins and porous region within in the cooling tubes and further optimization of the cooling process by adjusting the gravity by orienting the tube. This study is carried out by means of numerical analysis by simulating Transformer geometry in Ansys Fluent .Real case geometry of distribution transformer is used in this simulation.
Basic Unit Conversions for Turbomachinery Calculations Vijay Sarathy
Turbomachinery equipment like centrifugal pumps & compressors have their performance stated as a function of Actual volumetric flow rate [Q] & Head [m/bar]. The following tutorial describes how pump/compressor head can be expressed in energy terms as ‘kJ/kg’. Turbomachinery head expressed in kJ/kg describes, how many kJ of energy is required to compress 1 kg of gas for a given pressure ratio. The advantage of using energy terms to estimate absorbed power is that it is based on the amount of ‘mass’ compressed which is independent of pressure and temperature of a fluid.
Predicting Performance Curves of Centrifugal Pumps in the Absence of OEM DataVijay Sarathy
Chemical and Mechanical Engineers in the oil & gas industry often carry out the task of conducting technical studies to evaluate piping and pipeline systems during events such as pump trips and block valve failures that can lead to pipes cracking at the welded joints, pump impellers rotating in the reverse direction and damaged pipe supports due to excessive vibrations to name a few. Although much literature is available to mitigate such disturbances, a key set of data to conduct transient studies are pump performance curves, a plot between pump head and flow.
The present paper is aimed at applying engineering research in industrial applications for practicing engineers. It provides a methodology called from available literature from past researchers, allowing engineers to predict performance curves for a Volute Casing End Suction Single Stage Radial Pump. In the current undertaking, the pump in question is not specific to any one industry but the principles are the same for a Volute Casing End suction radial pump.
Fundamental Aspects of Droplet Combustion ModellingIJERA Editor
The present paper deals with important aspects of liquid droplet evaporation and combustion. A detailed
spherically symmetric, single component droplet combustion model is evolved first by solving time dependent
energy and species conservation equations in the gas phase using finite difference technique. Results indicate
that the flame diameter
F
first increases and then decreases and the square of droplet diameter decreases
linearly with time. Also, the
FD/
ratio increases throughout the droplet burning period unlike the quasi-steady
model where it assumes a large constant value. The spherically symmetric model is then extended to include the
effects of forced convection. Plots of
2 D
and droplet mass burning rate
mf
versus time are obtained for steady
state, droplet heating and heating with convection cases for a n-octane droplet of 1.3 mm diameter burning in
standard atmosphere. It is observed that the mass burning rate is highest for forced convective case and lowest
for droplet heating case. The corresponding values of droplet lifetime follow the inverse relationship with the
mass burning rate as expected. Emission data for a spherically symmetric, 100
m
n-heptane droplet burning
in air are determined using the present gas phase model in conjunction with the Olikara and Borman code [1]
with the aim of providing a qualitative trend rather than quantitative with a simplified approach. It is observed
that the products of combustion maximise in the reaction zone and NO concentration is very sensitive to the
flame temperature. This paper also discusses the general methodology and basic governing equations for
analysing multicomponent and high pressure droplet vaporisation/combustion in a comprehensible manner. The
results of the present study compare fairly well with the experimental/theoretical observations of other authors
for the same conditions. The droplet sub models developed in the present work are accurate and yet simple for
their incorporation in spray combustion codes.
Numerical Simulation of Flow in a Solid Rocket Motor: Combustion Coupled Pres...inventionjournals
Acomputational study is performed for the simulation of reactive fluid flow in a solid rocket motor chamber with pressure dependent propellant burning surface regression. The model geometry consists of a 2D end burning lab-scale motor. Complete conservation equations of mass, momentum, energy and species are solved with finite rate chemistry. The pressure dependent regressive boundary in the combustion chamber is treated by use of remeshing techniques. Hydrogen and propane combustion processes are examined. Time dependent pressure and burning rate variations are illustrated comprehensively. Temperature and species mass fraction variations are given within the flame zone. Temperature, velocity and density distributions are compared for both constant burning rate and pressure dependent burning rate simulations.
Optimization of a Shell and Tube Condenser using Numerical MethodIJERA Editor
The purpose of this study was to investigate the effect of installation of the tube external surfaces, their parameter and variable in a shell-and-tube condenser. Variation of heat transfer coefficient with each variable of shell and tube condenser was measured each test. The optimization tube outside diameter size was analyzed and use extended surface area attached tube with tube material and tube layout and arrangement (Number of tube a triangular or hexagonal arrangement) on shell-and tube condenser. The computer programming was used to get faster output in less time. Results suggest that mean heat transfer coefficient in variable condition were mainly at velocity is fixed. And also average additional surfaces and tube layout and the arrangement comparison with the quantity of the heat transfer.
Simulation and Optimization of Cooling Tubes of Transformer for Efficient Hea...IJAEMSJORNAL
Temperature variation with in the transformer affects the life and efficiency of the distribution transformer. The top oil temperature in the transformer depends on the type of cooling and cooling ducts/fins design and their layout. The present project investigates methods of onan transformer cooling system by means of increasing heat transfer rate by implanting the axial groves along with fins and porous region within in the cooling tubes and further optimization of the cooling process by adjusting the gravity by orienting the tube. This study is carried out by means of numerical analysis by simulating Transformer geometry in Ansys Fluent .Real case geometry of distribution transformer is used in this simulation.
Heat Transfer Analysis of Refrigerant Flow in an Evaporator TubeIJMER
the paper aim is to presenting the heat transfer analysis of refrigerant flow in an evaporator
tube is done. The main objective of this paper is to find the length of the evaporator tube for a pre-defined
refrigerant inlet state such that the refrigerant at the tube outlet is superheated. The problem involves
refrigerant flowing inside a straight, horizontal copper tube over which water is in cross flow. Inlet
condition of the both fluids and evaporator tube detail except its length are specified. here pressure and
enthalpy at discrete points along the tube are calculated by using two-phase frictional pressure drop model.
Predicted values were compared using another different pressure drop model. A computer-code using
Turbo C has been developed for performing the entire calculation
Comparison of Shell and Tube Heat Exchanger using Theoretical Methods, HTRI, ...IJERA Editor
The aim of this article is to compare the design of Shell and Tube Heat Exchanger with baffles. Baffles used in
shell and tube heat exchanger improve heat transfer and also result in increased pressure drop. Shell and tube
heat exchanger with single segmental baffles was designed with same input parameters using 1) Kern’s
theoretical method; 2) ASPEN simulation software and 3) HTRI simulation software 4) SOLIDWORKS
simulation software. Shell side pressure drop and heat transfer coefficient are predicted. The results of all the
three methods indicated the results in a close range. The proven theoretical methods are in good agreement with
the simulation results
In this communication, simulation studies of a borehole heat exchanger are worked out through computational
fluid dynamics (CFD) software. A two dimensional ( − ) realizable turbulent model with standard wall function is used to
evaluate the temperature variation along with depth of BHE, pitch optimization and to determine the effect of two
dimensionless parameters as ratio of pitch to borehole diameter and ratio of borehole to pipe diameter. The predicted results are
validated through experimental data; and statistical assessment shows a good agreement between simulated and experimental
results. The tube air temperature is proportional to depth in cooling mode and BHE can decrease the temperature of air by
13-14°C when ambient temperature observed by 41°C. The optimised pitch for 8 inch borehole and 2 inch diameter U-tube is
found to be 4 inch, however two U-tubes are recommended for enhanced performance. The effective borehole to tube diameter
ratio is estimated by 4. The BHE system can be used for heating and cooling of buildings it is a feasible solution for
sustainable development.
Abstract: Passive liquid water recovery from fuel cell effluent can be achieved by designing effective desiccant. Recovered water from desiccant is used for humidification of proton exchange membrane (PEM) to maintain at hydrated state. Proper membrane humidity is crucial to ensure optimal operation of a PEM to generate electricity. In this study a desiccant called water separator is designed, it works without consuming any external energy. The main aim of designing a component is to recover liquid water from hundred percent humidified air (vapour) which is coming out from cathode compartment of fuel stack and it is further used for humidifying the oxidant before entering the stack inlet. The self-sufficient water in vapour is investigated theoretically and experimentally. When the water separator temperature reached the critical point especially in large power applications or long time operation, recovered water was not sufficient for air humidification. On the contrary, it is sufficient while the temperature of water separator was below critical line. The temperature of separator is controlled by providing adequate heat transfer. The recovered amount of water by condensing the outlet gas or vapour to a proper temperature, easily satisfy required amount for humidification of oxidant at inlet of stack.
Keywords:cell stack, Proton exchange membrane, Humidification, Vapour, Liquid water recovery.
Optimization of Air Preheater for compactness of shell by evaluating performa...Nemish Kanwar
Designing of an Air Preheater with increased performance from an existing design through alteration in baffle placement. Analysis of 4 Baffle designs for segmented Baffle case was done using Ansys Fluent. The net heat recovery rate was computed by subtracting pump work from heat recovered. Based on the result, Air Preheater design was recommended.
Numerical study of heat transfer in pulsating turbulent air flowMohamed Fadl
A numerical investigation of heat transfer
characteristics of pulsating turbulent flow in a circular
tube is carried out. The flow is thermally and
hydrodynamically fully developed and the tube wall is
subjected to a uniform heat flux. The flow inlet to the
pipe consists of fixed component and pulsating
component that varies sinusoidally with time. The flow
and temperature fields are computed numerically using
computational fluid dynamics (CFD) Fluent code.
Prediction of heat transfer characteristics is performed
over a range of 10 4 ≤ Re ≤ 4x10 4 and 0 ≤ ƒ ≤ 70 are
observed. Results showed little reduction in the mean
time-averaged Nusselt number with respect to that of
steady flow. However, in the fully developed
established region, the local Nusselt number either
increases or decreases over the steady flow-values
depending on the frequency parameter. These noticed
deviations are rather small in magnitude for the
computed parameter ranges. The characteristics of heat
transfer are qualitatively consistent with the available
experimental and numerical predictions.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
1. International Conference on Advances In Mechanical Engineering
SRM Institute of Science and Technology Deemed University, Chennai, India: 14-16 December 2006
*
Lecturer in Mechanical Engineering Department, AISSMS’S College of Engineering, Kennedy Road, Pune, India – 411001,
Email: csdharankar2@yahoo.co.in , csdharankar2@rediffmail.com
**
Head Training Workshop, Defense Institute of Advanced Technology, Girinagar, Pune, India – 411025,
Email: mkhada@hotmail.com
***
Formerly Professor and Head Department of Mechanical Engineering,
Walchand College of Engineering, Sangli , India – 416415,
Email: shridhar.joshi@rediffmail.com
1
Analysis of Heat Transfer Effects on Spring Characteristic
of Hydro-Pneumatic Struts
*
C. S. Dharankar
Lecturer in Mechanical Engineering Department, AISSMS’S College of Engineering, Pune, India
and
**
M. K. Hada
Head Training Workshop, Defense Institute of Advanced Technology, Pune, India
and
***
S. G. Joshi
Formerly Professor and Head Department of Mechanical Engineering
Walchand College of Engineering, Sangli, India
A thermal time constant model was developed by solving the energy equation of a gas in a closed container
using real gas approach, to analyze the effect of irreversible heat transfer on the dynamic spring force
characteristic of hydro-pneumatic struts used in the vehicle suspension systems.
In the present paper this model is reviewed and the analysis is modified by defining a non-dimensional frequency
parameter. It is shown by the numerical simulation that the amount of energy dissipated by the hydro-
pneumatic spring and its spring characteristic depends only on the magnitude of this parameter and a single
parameter will properly characterizes the heat transfer effects and inherent damping of the hydro-pneumatic
spring. Also the pneumatic spring is shown equivalent to the Zener’s anelastic model and the existence of this
non-dimentional parameter is determined analytically.
Keywords: Anelastic model, Hydro-pneumatic spring, Non-dimensional frequency parameter, Thermal time
constant.
Nomenclature
Ao, a, Bo, b, CO, c = BWR constants
Aw = Area of cylinder wall in contact with gas (m2
)
Cv = Specific heat of gas at constant volume (J/kg-0
K)
C = Damping coefficient of dashpot (N-s/m)
E = Energy dissipated per cycle (J)
F = Spring force (N)
Fmax = Maximum force across the Anelastic model
Fmax = Minimum force across the Anelastic model
f = Frequency of excitation (Hz)
h = Overall heat transfer coefficient of hydro-pneumatic
spring unit (J/kg-0
K)
K = Stiffness of spring in series with dashpot (N/m)
K1 = Stiffness of spring in parallel with dashpot (N/m)
mg = mass of gas (kg)
P = Absolute pressure of gas (Pa)
Po = Initial absolute pressure of gas (Pa)
Q = Heat transfer from surrounding to gas (J)
T = Absolute temperature of gas (0
K)
Tw = Absolute temperature of cylinder wall and
surrounding (0
K)
Tmax = Absolute temperature of gas at the end of rapid
compression (0
K)
Tτ= Absolute temperature of gas at t = τ sec. (0
K)
t = Time (s)
U = Internal energy of gas (J)
Vo = Initial volume of gas at (m3
)
v = Specific volume of gas (m3
)
W = Work done by the gas (J)
X = Amplitude of excitation displacement (m)
x = Displacement of excitation (m)
α , γ = BWR constants
τ = Thermal time constant (s)
ω = Circular frequency of excitation (rad /sec)
ωτ = Non-dimensional frequency parameter
Introduction
Now days, the hydro-pneumatic struts are becoming
more popular in vehicle suspension system for effective
shock and vibration isolation. A hydro-pneumatic strut
consists of a pneumatic spring (known as hydro-
pneumatic spring) and a hydraulic damper as a single
unit in a cylindrical vessel with a floating piston or
diaphragm separating oil from the gas (usually
nitrogen). The gas serves the purpose of spring to store
energy and returning it to the damper oil during
expansion. The damper oil dissipates this energy in the
2. DHARANKAR, HADA AND JOSHI
2
form of heat due to restriction to flow of oil through the
orifice.
It is well known fact that spring characteristic of
hydro-pneumatic strut shows a hysteresis loop of energy
dissipation (inherent damping) that depends on the
excitation frequency and thermal time constant of the
charged gas. Conventionally, the spring force of hydro-
pneumatic spring is modeled using reversible polytropic
gas process assuming ideal gas behavior of the charged
gas. This approach results in large errors because it fails
to account for the irreversible heat transfer between the
gas and it’s surrounding during compression-expansion
cycle and the charged gas nitrogen cannot be treated as
an ideal gas.
Initially the thermal time constant model has been
developed for the gas process in a gas charged hydraulic
accumulators. Els and Grobbelaar [1] have extended the
application of thermal time constant model to determine
time-temperature dependent (dynamic) spring force
characteristic of hydro-pneumatic struts. This model
predicts the dynamic spring characteristic of hydro-
pneumatic strut more accurately along with the
irreversible heat transfer during the compression-
expansion cycle. Therefore a thermal time constant
model along with real gas approach replaces the
conventional approach of reversible polytropic process
of ideal gas (P Vn
= constant).
Otis and Pourmovahed [2] have suggested an algorithm
for computing non-flow gas processes based on
Benedict-Webb-Rubin (BWR) equation of state and
thermal time constant to describe heat transfer process
in the gas springs and hydro-pneumatic accumulators.
Also it was shown that a constant value of thermal time
constant fits the experimental data very well and the
analysis is fairly insensitive to its value.
Pourmovahed and Otis [3] have suggested the
experimental and analytical methods to determine the
thermal time constant for gas charged hydraulic
accumulators. The analytical method uses experimental
correlation for cylindrical accumulators oriented in
vertical and horizontal position. The correlation was
developed by treating the gas as a real gas and by
approximating the heat convection process in a gas to
heat conduction a solid.
Pourmovahed and Otis [ 4] have shown that for small
changes in gas volume (5 to 10 %), the linearized
thermal time constant model of a pneumatic spring is
equivalent to a special case of the Zener’s Anelastic
model which consists of two springs and one dashpot as
shown in Fig. 1
In the present paper the analysis of the spring
characteristic of hydro-pneumatic spring is presented by
defining a non-dimensional frequency parameter (ωτ).
The hydro-pneumatic spring is analyzed for both
sinusoidal and triangular wave excitation and it is
shown by the numerical simulation that a single
parameter ωτ properly characterizes its spring force.
The existence of the parameter (ωτ) is determined
analytically by solving the Zener’s Anelastic model for
sinusoidal excitation.
Modelling of Irreversible Heat Transfer in the
Hydro-Pneumatic Spring
Real Gas Approach
In the present study the Benedict-Webb-Rubin
(BWR) equation of state is used for real gas behavior of
the charged gas (nitrogen) used in the hydro-pneumatic
spring. The Benedict-Webb-Rubin equation of state for
gas is,
( )
2
0
0 0 2 2 3
v
6 2 3 2
b R T - aCR T 1
P B R T - A -
v T v v
a 1
c 1 e (1)
v v v T
−γ
= + +
γα
+ + +
( )
2
3
o o
2 2
v
v
3 3 2
B R 2 C / TP R b
1
T v v v
2 c
1 e (2)
v T v
γ
−
+∂
= + +
∂
γ
− +
The Thermal Time Constant Model
Following assumption are made in deriving the
thermal time constant model for the hydro-pneumatic
spring.
• Homogeneous quasi static gas compression process
• Inertia effects of gas like shock waves are ignored
• Constant gas mass process i.e. closed system is
assumed
• Heat storage in the cylinder wall of the strut is
neglected.
• Effect of compressibility of oil is neglected
A hydro-pneumatic spring can be modeled as a gas in
a closed container with one movable boundary as
piston. The energy equation for a gas in a closed
container can be written as,
Rate of change of internal energy of gas = Rate of heat
transfer to gas – Rate of work done by the gas
dU dQ dW
dt dt dt
= − (3)
Rate of heat transfer to gas from surrounding is,
T)-(TwAh
dt
dQ
w= (4)
Rate of work done by the gas is,
dt
dv
mP
dt
dW
g= (5)
Rate of change in internal energy for real gas is,
−
∂
∂
+=
dt
dv
P
T
P
T
dt
dT
Cm
dt
dU
V
Vg (6)
Substituting equations (4), (5) and (6) in (3), one gets
dt
dv
T
P
C
T)TT(
dt
dT
vv
w
∂
∂
−
τ
−
= (7)
Where, τ =
w
vg
Ah
Cm
(8)
τ is called as thermal time constant. It has unit of time
as seconds.
The differential equation (7) represents the thermal time
3. DHARANKAR, HADA AND JOSHI
3
constant model, which can be used to predict the spring
force characteristic of hydro-pneumatic spring.
The Thermal Time Constant
From equation (8) it can be seen that, the thermal time
constant (τ) is not a constant in real sense but varies as
the wall area (Aw) and heat transfer coefficient (h)
varies due to piston motion during the cycle of
excitation. However, as shown by Otis and
Pourmovahed [2] a constant value of τ fits experimental
data quite well. A constant value of thermal time
constant τ can be determined experimentally or
analytically as suggested by Pourmovahed and Otis [3].
In the present analysis a constant value of τ is calculated
by using analytical method.
Consider that the gas is compressed rapidly from its
initial temperature Tw to Tmax. At the end of compression
the gas volume is held constant where the temperature
of the gas decreases from Tmax.
For constant volume process, 0
dt
dv
= and equation (7)
is reduces to
)TT(
dt
dT w
τ
−
= (9)
This is the differential equation of gas process at
constant volume during which temperature of gas
decreases from temperature Tmax to the final
equalization temperature Tw.
Integrating above equation between limits of
temperature Tmax to T and time 0 to t,
( )wmaxw TTTT −=− e (- t/τ )
(10)
Above equation (10) gives the law of gas cooling at
constant volume, which can be used to find temperature
of gas at any instant of time.
At t = τ , T = Tτ
( )
e
TT
TT wmax
w
−
+=τ
( Tmax – Tτ ) = 0.6321 ( Tmax – Tw ) (11)
Decrease in peak temperature in τ sec. =
(0.6321) × (Difference between peak and final
equilibrium temperature)
Thus, the thermal time constant can be defined as the
time needed for the temperature or pressure to decrease
by 63.21% of the difference between the peak and final
equilibrium values under constant volume processes.
Above definition forms the basis for the experimental
determination of the value of thermal time constant.
The Non-Dimensional Frequency Parameter
The non-dimensional frequency parameter (ωτ) is
defined as the product of the circular frequency of
excitation (ω) and the thermal time constant (τ).
ωτ = ω × τ = 2 π f × τ (12)
From equation (10) it can be seen that as τ → ∞ the
process is adiabatic (no heat transfer) and as τ → 0 the
process is isothermal. Also as ω or f → ∞ the process is
adiabatic and as ω → 0 the process is isothermal.
Therefore it can be concluded that, as ωτ → ∞ the
process is adiabatic and as ωτ → 0 the process is
isothermal.
Following are the advantages of defining the
parameter ωτ -
• A single value of the parameter (ωτ) properly
characterizes the spring force and heat transfer
effects of hydro-pneumatic spring.
• It is shown that the energy dissipated by the hydro-
pneumatic spring is maximum near ωτ = 1, which
enables to identify the range of excitation
frequencies near which the energy dissipation is
predominant. Such identification helps in
developing active or semi-active suspension
systems.
The Anelastic Model
Fig. 1 shows the special case of Zener’s Anelastic
model which can be used to represent the material or
hysteretic damping in metals. This model can also be
used to represent the inherent damping in pneumatic
springs when changes in gas volume are small. The
thermal time constant (τ) can be considered equivalent
to the factor C/K [4].
At very low excitation frequencies the dashpot C will
not transmit any force to the spring K resulting in no
energy dissipation and the entire spring force is due to
the spring K1 and this condition corresponds to the
isothermal compression of gas. At very high excitation
frequencies the dashpot C will be locked and behaves
like a rigid element due to very high damping force and
again there is no energy dissipation and the entire spring
force is due to the parallel combination of spring K1 and
K and this condition corresponds to the adiabatic
compression of gas.
The Response of Anelastic Model to Sinusoidal
Excitation
The force developed across the Anelastic model,
F =K1 x + K y (12)
Considering force balance at point A,
0Ky
dt
dx
dt
dy
C =+
− (13)
For sinusoidal input excitation,
F
F
x (t)
y (t)
K1
K
C
A
Gas
Tw
P, v, T
Fig. 1: Representation of the pneumatic spring
using the Anelastic model.
4. DHARANKAR, HADA AND JOSHI
4
x = X sin (ω t), t)(cosX
dt
dx
ωω= (14)
The equation (13) can be rewritten as,
t)(cosXy
C
K
dt
dy
ωω=
+ (15)
The equation (15) is a first order linear differential
equation, which can be solved using standard methods
for solution of linear differential equation. The steady
state solution of equation (15) can be assumed of the
form,
y = Y sin (ω t + φ) (16)
Substituting equation (16) in (15),
X cos φ = Y, X sin φ = Y K /Cω (17)
The amplitude and phase angle of displacement of point
A are obtained as,
2
)C(K /1
X
Y
ω+
= (18)
ω
=φ
C
K
tan 1-
(19)
The energy dissipated per cycle is,
∫
ωπ
=
/2
0
dxFE (20)
Using equations (12), (14), (16) and substitution ωt = θ,
[ ]
][2sinYXK
2
1
dcosX)(sinYKsinXKE
2
0
1
πφ=
θθφ+θ+θ= ∫
π
Using equations (17) and (18),
ω
+
ω
π
=
C
K
K
C
XK
E
2
(21)
For maxima dE / dω = 0,
Therefore, the energy dissipated per cycle will be
maximum when,
1
K
C
or
C
K
=
ω
=ω (22)
From equation (21) it can be seen that the value of
energy dissipated per cycle is same for two values of
excitation frequencies say ω1 and ω2 such that,
2
21
C
K
=ωω (23)
The Transient Response of Anelastic Model
When the Anelastic model is subjected to the step
displacement of amplitude X, the point A gets displaced
through X. The step input is,
x = 0, t < 0
= X, t > 0
At time t = 0, the force across the Anelastic model is
maximum and is given by,
Fmax = K1X + K X (24)
After time t > 0, the point A starts from y = X and
returning to its equilibrium position y = 0, during this
period the force across the Anelastic model is,
F = K1X + K y (25)
When the point A reaches to its equilibrium position y =
0, the force across the Anelastic model is minimum and
is given by,
Fmin = K1X (26)
From equation (25) and (26)
y = (F - Fmin) / K (27)
After time t > 0, dx/dt = 0, the equation (13) can be
written as,
y
C
K
-
dt
dy
= (28)
Substituting equation (27) in (28),
)K/C(
)FF(
dt
dF min −
= (29)
The equation (29) is the differential equation of force
relaxation in the Anelastic model when it is subjected to
the step input. Comparing the equation (29) with (9), it
can be concluded that the force relaxation in the
Anelastic model is equivalent to the temperature or
pressure relaxation in the hydro-pneumatic spring at
constant volume.
Since,
K
C
,
K
C ω
≡ωτ≡τ
From equation (22), the energy dissipated by the is
maximum when the parameter ωτ = 1 or ω = 1/τ
Computer Simulation
A computer program in MATLAB is developed as per
the guidelines suggested by Otis and Pourmovahed [2]
for numerical solution of the nonlinear differential
equation (7). The solution of this differential equation
gives the gas temperature at different instants, which is
used to determine the gas pressure using BWR equation
of state of gas. Then the gas pressure is converted in to
spring force using the relation, Spring Force = Gas
Pressure × Piston area.
Fig. 2: The sinusoidal and triangular wave excitations
t
x
+X
-X
0
1/4f 1/4f
Sinusoidal
Triangular wave
5. DHARANKAR, HADA AND JOSHI
5
-80 -60 -40 -20 0 20 40 60 80
10
20
30
40
50
60
Displacement (mm)
Force(kN)
f = 0.2 Hz
For Sinusoidal Excitation
τ = 6.9 sec.
f = 0.002 Hz
f = 0.03 Hz
-80 -60 -40 -20 0 20 40 60 80
10
20
30
40
50
60
Displacement (mm)
Force(kN)
τ = 15 sec.
For Sinusoidal Excitation
f = 0.1 Hz
τ = 3.5 sec.
τ = 0.5 sec.
Fig. 3: Effect of excitation frequency on the dynamic spring characteristic of hydro-
pneumatic strut.
Fig. 4: Effect of thermal time constant on the dynamic spring characteristic of hydro-
pneumatic strut.
6. DHARANKAR, HADA AND JOSHI
6
-80 -60 -40 -20 0 20 40 60 80
10
20
30
40
50
60
Displacement (mm)
Force(kN)
For Sinusoidal Excitation ωτ = 6
ωτ = 1
ωτ = 0.08
-80 -60 -40 -20 0 20 40 60 80
10
20
30
40
50
60
Displacement (mm)
Force(kN)
For Triangular Wave Excitation
ωτ = 6
ωτ = 1
ωτ = 0.08
Fig. 6: Effect of parameter (ωτ) on the dynamic spring characteristic of hydro-pneumatic
strut for triangular wave excitation.
Fig. 5: Effect of parameter (ωτ) on the dynamic spring characteristic of hydro-pneumatic
strut for triangular wave excitation.
7. DHARANKAR, HADA AND JOSHI
7
Specificatios for a Spring Unit
A hydro-pneumatic spring with following
specifications is used in the present study.
Gas used: Nitrogen
Initial gas pressure Po = 6 MPa,
Initial gas volume Vo = 0.62 liter,
Temperature of cylinder wall or surrounding Tw =35 o
C,
Diameter of piston D = 70 mm,
Amplitude of excitation displacement X = 70 mm.
The constant values of thermal time constant (τ) for
different values of initial gas pressure (Po) are calculated
analytically using Otis method [3] as given in table-1.
Table- 1: Constant values of the thermal time constant
Po (MPa) 4.5 6 7.5
τ (sec.) 6.4 6.9 7.2
Types of Excitations Used
Two types of excitations sinusoidal and triangular
wave excitations are used for the purpose of analysis as
shown in Fig.2
1. Sinusoidal excitation (For single cycle) :
x = X sin(ω t), 0 ≤ t ≤ 1/f
2. Triangular wave excitation (For single cycle) :
x = (4f X) t, 0 ≤ t ≤ 1/4f
x = -(4f X) t + 2X, 1/4f < t ≤ 3/4f
x = (4f X) t - 4X, 3/4f < t ≤ 1/f
Results
Fig. 3 to Fig. 6 shows the spring force characteristics
of a hydro-pneumatic spring. The hysterisis loop in the
spring force characteristic shows that the hydro-
pneumatic spring posses some amount of inherent
damping.
Fig. 3 shows the effect of excitation frequencies on
the spring force characteristic of the hydro-pneumatic
spring. It can be seen that at lower excitation
frequencies the hysteresis loop is small and the process
is approximated to isothermal because there is sufficient
time for heat transfer between the gas and it’s
surrounding. On the other hand at higher excitation
frequencies the hysteresis loop is also small and the
process is approximated to adiabatic.
Fig. 4 shows the effect of thermal time constant on the
spring characteristic. It can be seen that a longer thermal
time constant has the same effect as that of higher
excitation frequency while a shorter thermal time
constant has the same effect as that of lower excitation
frequency.
Fig. 5 and Fig. 6 show the effect of parameter ωτ on
the spring characteristic for both sinusoidal and
triangular wave excitations. It can be seen that at very
small values of the parameter ωτ (less than 0.1) the
hysteresis loop is small and the process is approximated
to isothermal. On the other hand at higher values of the
parameter ωτ (greater than 15) the hysteresis loop is
also small and the process is approximated to adiabatic.
Fig. 7 shows the variation of percentage of input
energy lost (heat dissipated) with ωτ for both sinusoidal
and triangular wave excitations. It can be seen that the
heat dissipation is maximum near ωτ = 1, but not
exactly at ωτ = 1 due to non-linearity in the gas force.
This is very important prediction as it is possible to
identify the range of excitation frequencies near which
the energy dissipation or inherent damping is
predominant.
Conclusions
From the results of the computer simulation and
analytical discussion of the Anelastic model it can be
concluded that a single parameter ωτ properly
characterizes the heat transfer effects and spring force of
hydro-pneumatic springs.
The inherent damping of the hydro-pneumatic spring
may affect the performance of active or semi-active
hydro-pneumatic suspension systems. The analysis will
help in developing active or semi-active suspension by
realizing that the inherent damping of hydro-pneumatic
spring is a function of the parameter ωτ.
The proposed analysis will simplify the process of
designing of the hydro-pneumatic spring, as it is
possible to compare the performance of different hydro-
pneumatic spring units in the design stage.
References
1. Els P.S., Grobbelaar B., “Investigation of the time-
temperature dependency of hydro-pneumatic
suspension systems”, SAE technical paper series
930265, March 1993, pp.318-327.
2. Otis D. R., Pourmovahed A., “An algorithm for
computing nonflow gas processes in gas springs
and hydro-pneumatic accumulators”, Transactions
of the ASME, Journal of Dynamic systems,
Measurement and Control, Vol. 107, March 1985,
pp. 93-96.
3. Pourmovahed A., Otis D. R., “An experimental
thermal time constant correlation for hydraulic
accumulators”, Transactions of the ASME, Journal
of Dynamic systems, Measurement and Control,
Vol. 112, March 1990, pp. 116-121.
4. Pourmovahed A., Otis D. R., “Effects of Thermal
Damping on The Dynamic Response of a Hydraulic
Motor-Accumulator Systems”, Transactions of the
ASME, Journal of Dynamic Systems, Measurement
and Control, Vol. 106, March 1984, pp. 21-26.
Non-Dimensional Frequency Parameter (ωτ)
%ofInputEnergyLost
Sinusoidal Excitation
Triangular wave Excitation
Fig. 7: Percentage of input energy lost in the form
of heat during a cycle of excitation.