The document outlines the design procedure for a rotary dryer used to dry fertilizer from 5% to 1.5% moisture content. The key steps are:
1) Performing mass and heat balance calculations to determine moisture evaporated, dry solid mass, and total heat duty of 4.4 MJ/hr.
2) Sizing the dryer using the heat duty to calculate required air flow of 14.8 kg/hr, diameter of 2.3 m, volumetric heat transfer coefficient of 398 kJ/hr-m3-K, and length of 18 m.
3) Checking that the outlet air humidity is below saturation and selecting design parameters like number of flights based on sol
This experiment studied the effects of cooling load and inlet water temperature on a cooling tower's performance. In experiment 1, cooling load was varied at 0.5 kW, 1 kW, and 1.5 kW while water flow rate and air flow were held constant. Higher cooling loads resulted in larger cooling ranges between inlet and outlet water temperatures. Experiment 2 varied water flow rate from 0.8 LPM to 1.6 LPM at a 1 kW cooling load. Higher water flow rates produced smaller cooling ranges and lower heat loads transferred. The results show that increasing cooling load or decreasing water flow rate improves a cooling tower's heat removal capabilities.
Heat pipes transfer heat using an evaporation-condensation cycle. They work by evaporating a working fluid in a heated region (evaporator) which transfers heat, then the vapor travels inside the heat pipe to a cooled region (condenser) where it condenses, releasing the latent heat. The condensed liquid then returns to the evaporator via a capillary wick structure. Heat pipes have several advantages like passive operation, long life, flexibility and minimum maintenance, making them useful for applications like electronics cooling and energy recovery.
1-D Steady State Heat Transfer With Heat GenerationMihir Patel
1) The document describes heat transfer through a sphere with uniform heat generation under steady-state conditions.
2) The temperature distribution is derived to be parabolic, with the maximum temperature at the center of the sphere.
3) The maximum temperature and temperature distribution are expressed in terms of the heat generation rate, thermal conductivity, radius of the sphere, and temperature at the outer surface.
Separating and throttling calorimeter for steamSaif al-din ali
This document describes an experiment conducted to determine the quality (dryness fraction) of steam passing through a steam main using a separating and throttling calorimeter setup. The calorimeter was developed on a diesel-fired boiler in a thermal power laboratory. The experiment measured parameters like steam temperature, pressure, and flow rates. Steam was sampled from the main and passed through a separator to remove water, then throttled to a lower pressure and superheated region where its dryness fraction could be calculated using energy equations and steam tables. Factors affecting the accuracy of the experiment like measurement errors and device leaks were also discussed.
A condenser is a heat exchanger that transfers vapors into a liquid state by removing latent heat with a coolant like water. This document provides design calculations for an 8 unit shell and tube condenser with 1030 tubes that uses cold water as the coolant to condense steam at a rate of 8060 kg/hr and 4343 kW of heat duty. Key specifications are provided, like a calculated overall heat transfer coefficient of 1100.97 W/m2C and pressure drops of 0.59 psi for the tube side and 0.109 psi for the shell side. References on condenser design are also listed.
1) The document discusses the thermal decomposition reaction of hydrogen iodide (HI). Experimental data on the rate constant (k) of the reaction at different temperatures is provided.
2) The complete rate equation for the reaction is derived. The Arrhenius equation is used to determine the activation energy (E) and pre-exponential factor (ko) by plotting the logarithm of k against the inverse of temperature.
3) The final rate equation determined is:
-rHI = 4.06 x 1016 e-22,727/T CHI2 (mol/cm3.s)
The document discusses heat transfer through conduction, convection and radiation. It covers key concepts like Fourier's law of heat conduction, thermal conductivity of solids, liquids and gases, one dimensional and radial heat conduction, and heat transfer through composite walls. It also provides examples of calculating heat transfer through plane and cylindrical walls, determining the required thickness of insulation, and calculating critical thickness of insulation.
The document discusses the steps for designing a heat exchanger. It begins by introducing the basic heat exchanger equation that relates heat transfer rate, surface area, and temperature difference. It then outlines 14 steps for heat exchanger design, which include: 1) assuming tube dimensions and material, 2) fouling factors, 3) tube material properties, 4) determining temperature points, 5) calculating the log mean temperature difference, 6) correction factors, 7) mean temperature difference, 8) heat transfer coefficient, 9) required surface area, 10) number of tubes, 11) tube pitch and bundle diameter, 12) floating head type, 13) shell diameter, and 14) baffle spacing. The goal is to use these steps
This document describes the design of a plant for cryogenic distillation of air into oxygen and nitrogen. It includes an introduction to air separation and the cryogenic process. Process equipment like compressors, heat exchangers, and distillation columns are designed. Mass and energy balances are performed. The distillation columns and condenser are designed and specifications are provided. An economic analysis includes capital costs, production costs, profitability metrics, payback period and safety considerations. References for design methods are also listed.
Definition and Requirements
Types of Heat Exchangers
The Overall Heat Transfer Coefficient
The Convection Heat Transfer Coefficients—Forced Convection
Heat Exchanger Analysis
Heat Exchanger Design and Performance Analysis
This document discusses psychrometry, evaporative cooling, and solids drying. It covers terminology, principles, examples, equipment, and processes related to these topics. Key areas covered include psychrometric charts, cooling tower theory and operation, periods of drying, classification of dryers, and descriptions of dryer types like batch tray dryers, tunnel dryers, and rotary dryers. The document provides detailed information on analyzing processes involving air-water vapor mixtures and drying of solids.
Here are the key steps to solve this problem:
1. Draw a schematic of the system and define the parameters. You have a pipe with water flowing through it at a rate of 0.15 kg/s. The inlet temperature is 20°C and desired outlet temperature is 50°C.
2. Write the energy balance equation:
Rate of heat transfer into the water = Rate of increase of thermal energy of water
Q = mCpΔT
Where:
Q = Rate of heat transfer (W)
m = Mass flow rate (0.15 kg/s)
Cp = Specific heat of water (4.18 kJ/kg-K)
ΔT = Increase in
Effectiveness and number of transfer units for Parallel flowjani parth
1. The document summarizes the effectiveness and number of transfer units (NTU) method for analyzing heat exchangers operating with parallel flow. It defines heat exchanger effectiveness, NTU, and provides equations relating these parameters.
2. An example problem is included to demonstrate calculating the rate of condensation, overall heat transfer coefficient, NTU, and effectiveness for a steam condenser heat exchanger.
3. Key results from the example problem are that the rate of steam condensation is 0.0714 kg/s, the overall heat transfer coefficient is 255.9 W/m2C, the NTU is 0.628, and the effectiveness is 0.47.
The vapors from a vapor column are condensed in a shell and tube heat exchanger using cooling water. The design is for a multi-tube pass, single shell pass heat exchanger with 8 tubes of 3/4" diameter and 6' length. Energy and heat transfer calculations are shown to determine the required cooling water flow rate of 2072.53 lbs/hr and heat transfer area of 19.86 sqft to achieve the necessary heat transfer. Pressure drops are also calculated to be within acceptable limits.
COURSE LINK:
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Introduction:
Gas Absorption is one of the very first Mass Transfer Unit Operations studied in early process engineering. It is very important in several Separation Processes, as it is used extensively in the Chemical industry.
Understanding the concept behind Gas-Gas and Gas-Liquid mass transfer interaction will allow you to understand and model Absorbers, Strippers, Scrubbers, Washers, Bubblers, etc…
We will cover:
- REVIEW: Of Mass Transfer Basics required
- GAS-LIQUID interaction in the molecular level, the two-film theory
- ABSORPTION Theory
- Application of Absorption in the Industry
- Counter-current & Co-current Operation
- Several equipment to carry Gas-Liquid Operations
- Bubble, Spray, Packed and Tray Column equipments
- Solvent Selection
- Design & Operation of Packed Towers
- Pressure drop due to packings
- Solvent Selection
- Design & Operation of Tray Columns
- Single Component Absorption
- Single Component Stripping/Desorption
- Diluted and Concentrated Absorption
- Basics: Multicomponent Absorption
- Software Simulation for Absorption/Stripping Operations (ASPEN PLUS/HYSYS)
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The document describes the design and construction of heat exchangers. It discusses key components of double pipe heat exchangers like inner and outer pipes, return bends, and support lugs. It also explains components of shell and tube heat exchangers such as tubes, tube sheets, bonnets, channels, nozzles, baffles, and pass partition plates. Additionally, it covers classification of heat exchangers, flow arrangements, fouling factors, heat transfer calculations, and pressure drop analysis for heat exchanger design.
Bag filter optimization in Cement IndustryNITIN ASNANI
This document provides guidance on designing and optimizing bag filter systems used for dedusting applications. It discusses key components of a dedusting system and factors to consider in the design such as equipment to be dedusted, air flow calculations, auxiliary equipment selection, and physical site parameters. The document outlines design guidelines for aspects like venting air volume, velocity norms, and insulation requirements. It also provides information on bag filter material selection, air to cloth ratios, and troubleshooting common issues.
In many cases, the drying of mater
ials is the fina l operation i n manufac turing process
carried out immediately prior to pack ag ing and dispatch . Drying refer s to final
removal o f water, and the operation follow s e vapo ration , filtration or crystallization .
CFD Analysis of Manipulator Cabin by Selecting Proper Air Conditioning SystemIJERA Editor
Manipulator is a machine which is used to transfer heavy objects, to reduce human efforts in many industrial applications. Some of them are fully automated while some are manually operated. It is difficult to work in cabin of manipulator for the operator under hot conditions. So it is essential to provide comfort to operator using air-conditioning system. For such applications standard air conditioners are not compatible, so we have to develop assembled system. In this paper we will be dealing with design, selection and fabrication of components like compressor, condenser, expansion device and evaporator. In order to do so, we have calculated heat load.
This document contains problems from board exams on dryers. The first problem asks to calculate: (1) the required flow of heated air mixture to dry cassava flour, (2) the capacity of the forced draft fan on the dryer, (3) the heat required for heating the air mixture, and (4) the percentage of fresh air in the mixture. The second problem asks to calculate various properties of air before and after passing through an adiabatic drier. The third problem asks to calculate: (a) the required amount of air and (b) the fan capacity to handle the air for drying sand in a dryer.
This document provides an overview of energy recovery wheels, which are devices that transfer energy between exhaust and supply air streams in HVAC systems. It discusses the principles of sensible and total heat transfer using energy recovery wheels and how they can improve energy efficiency. The document also covers factors like effectiveness, airflow balancing, air transfer between streams, frost control methods, and limitations of using energy recovery wheels with hazardous exhaust air.
This document discusses psychrometric processes and the psychrometric chart. It provides examples of how to use the chart to determine properties of moist air and analyze processes involving changes in temperature and humidity, including sensible heating and cooling, heating and humidifying, and cooling and dehumidifying. Step-by-step worked examples are provided to illustrate cooling and dehumidifying processes and calculating the refrigeration required. Adiabatic or evaporative cooling processes are also defined.
This document discusses a mini project using computational fluid dynamics (CFD) to analyze air distribution in a classroom. The objectives are to study air distribution patterns, temperature distribution, flow trajectories, and diffuser efficiency. SolidWorks flow simulation will be used to model air flow in a lecture room. The project team conducted preliminary studies including estimating the cooling load, room dimensions and properties, ventilation rate, and heat sources. CFD will be used to simulate air flow and determine if thermal comfort and indoor air quality standards are met in the classroom.
Thermal Simulation of Biogas Plants Using Mat LabIJERA Editor
The major prerequisite for the optimum production of methane from a biogas plant is the sustenance of digester temperature within the narrow limits (300C-350C). It is experimentally investigated that, the MIT biogas plant is not maintaining optimum temperature, this decreases the efficiency and increases the detention time for charge. To maintain the plant in optimum temperature, it is necessary to find out the heat losses from the biogas plant and the external energy inputs need to operate the plant. Rate of gas yield, and the detention time (time necessary to anaerobically digest organic wastes) in a biogas reactor, are favorable functions of the temperature in the digester. A thermal simulation for MIT biogas plant has developed using matlab in order to understand the heat transfer from the slurry and the gas holder to the surrounding earth and air respectively. The computation has been performed when the slurry is maintained at 200C and 300C, optimum temperature of anaerobic fermentation. If the slurry is considered to be at 350C, the optimum temperature of anaerobic fermentation, the total heat loss from the plant is higher than the heat loss when the slurry is maintained at 200C. The heat calculations provide an appraisal for the heat which has to be supplied by external means to compensate for the net heat losses which occur if the slurry is to be maintained at 350C. A solar system with auxiliary electric heater is designed for maintaining the slurry at 350C.In conclusion; the results of thermal analysis are used to define a strategy for operating biogas plant at optimum temperatures.
The document discusses the psychrometric chart and various psychrometric processes involving moist air. It begins by identifying parts of the psychrometric chart and explaining how it can be used to determine moist air properties and analyze processes involving moist air. Several examples are then provided to illustrate key psychrometric processes including sensible heating/cooling, heating and humidifying, cooling and dehumidifying, adiabatic or evaporative cooling, and adiabatic mixing of moist air streams. Step-by-step workings are shown for each example to determine various moist air properties and mass transfer rates.
The psychrometric chart theory and applicationUsama Khan
The document discusses the psychrometric chart and various psychrometric processes involving moist air. It begins by identifying parts of the psychrometric chart and explaining how it can be used to determine moist air properties and analyze processes involving moist air. Several examples are then provided to illustrate key psychrometric processes including sensible heating/cooling, heating and humidifying, cooling and dehumidifying, adiabatic or evaporative cooling, and adiabatic mixing of moist air streams.
The document discusses the psychrometric chart and its applications:
- It identifies key parts of the psychrometric chart and explains how to determine moist air properties and analyze processes involving moist air using the chart.
- It provides examples of common psychrometric processes including sensible heating/cooling, heating and humidifying, cooling and dehumidifying, adiabatic or evaporative cooling, and adiabatic mixing of moist air streams. Each example walks through calculating relevant properties at each state point using the chart.
ME6301 ENGINEERING THERMODYNAMICS ANNA UNIVERSITY QUESTION PAPER may june 2014BIBIN CHIDAMBARANATHAN
This document appears to be an exam question paper for an engineering thermodynamics course. It contains 15 multi-part questions testing concepts related to thermodynamics, including properties of gases, heat transfer, refrigeration cycles, steam power cycles, psychrometrics, and more. The questions involve calculating values like heat transfer rates, work output, cycle efficiency, enthalpy, entropy, and more for various thermodynamic processes and systems. Diagrams are also requested to illustrate some of the processes.
This document provides calculations for the rate of distillation and size of a vapor column for distilling triethyl amine. It calculates the total heat transfer area and rate of vaporization as 1410.218 kg/hr. The diameter of the vapor column is calculated as approximately 4 inches and the height is approximately 10 feet. Various equations and data are presented to illustrate the step-by-step calculations and determine the necessary parameters for designing distillation equipment.
Design and Thermal Analysis of Hydraulic Oil Cooler by using Computational Fl...IRJET Journal
This document describes a study analyzing the thermal performance of a hydraulic oil cooler using computational fluid dynamics (CFD). It involves:
1) Designing a hydraulic oil cooler with cross-flow heat exchanger cores to transfer heat from hot hydraulic oil into ambient air.
2) Developing a thermal model and equations to calculate heat transfer rates, oil/air temperatures, heat transfer coefficients, and surface area required.
3) Validating the model through experimental testing of an oil cooler setup and comparing predicted vs actual temperature values.
This document provides an overview of units of measurement commonly used in environmental management and materials and energy balances. It defines SI and other units for length, mass, temperature, area, volume, energy, power, velocity, flow rate, density, and concentration. It presents prefixes used with units to describe large and small quantities. Examples show calculations of concentration in terms of mass per volume, parts per million, percentage, and air pollutant concentrations. The document stresses the importance of materials and energy balances in understanding processes and their environmental impacts, and provides examples of calculating particulate concentration, dust collection in a bag house system, and pollutant emissions from a coal-fired power plant.
1 ijebm jan-2018-1-combustion adjustment in a naturalAI Publications
Shortage of detailed and accurate experimental data on fuel-air mixing in furnaces is due to the difficulty and complexity of measurements in flames. Although it may be possible with infra-Red camera to obtain an indication of what happens in the furnace by graphical image resolution this is not expected to be sufficiently detailed because it contains only the temperature gradient. More detailed information, however, may be obtained from the simulated resolution using Computational Fluid Dynamics (CFD) technique where the total number of elements/points defines the detailed level that can be displayed or captured in graphical image. Simulation resolution studies two aspects of the momentum effects on flame which are the forward momentum normally associated with the average outlet velocity of the combustion products and the lateral momentum caused by swirl. Following the American Petroleum Institute guidelines (API 560) for combustion adjustment in furnaces, it may be possible to have less emission and a maximum efficiency, but the potential interaction between the several operation and design factors are not thereby considered as in a mathematical model of CFD.
This document appears to be an exam for a thermodynamics engineering course consisting of 3 parts with multiple choice and numerical problems. Part A has 10 short answer questions worth 2 marks each on topics like path functions, free expansion processes, the Carnot cycle, and thermodynamic properties. Part B has 5 longer answer questions worth 13 marks each, including problems on compression processes, Carnot engines, reheat cycles, and use of the van der Waals equation. Part C has 2 long answer questions worth 15 marks each involving an adiabatic air compressor-steam turbine system and evaluating experimental refrigerator measurements. The exam tests students' understanding of key thermodynamic concepts and their ability to apply these concepts to solve practical thermodynamic problems.
The document summarizes a performance analysis of car radiators. It discusses:
1) The construction and working of radiators, which use staggered fins and turbulators to effectively transfer heat from coolant to air via conduction and convection.
2) Mathematical calculations to determine heat transfer parameters like temperature distribution, heat transfer rate, and efficiency. This is done using analytical and programming methods.
3) Key variables like coolant inlet/outlet temperatures, mass flow rates, heat capacities, thermal conductivities, and geometries are inputs to calculate outputs like optimum tube count, heat transfer area, and length.
Energy crisis is one of the most important problems
the world is facing now-a-days. With the increase of cost of
electrical energy operating cost of cold storage storing is
increasing which forces the increased cost price of the
commodities that are kept. In this situation if the maximum
heat energy(Q) is absorbed by the evaporator inside the cold
room through convective heat transfer process in terms of –
heat transfer due to convection and heat transfer due to
condensation, more energy has to be wasted to maintain the
evaporator space at the desired temperature range of 2- 8
degree centigrade. In this paper we have proposed a theoretical
heat transfer model of convective heat transfer in cold storage
using Taguchi L9 orthogonal array. Velocity of air (V),
Temperature difference (dT), Relative Humidity (RH) are the
basic variable and three ranges are taken each of them in the
model development. Graphical interpretations from the model
justify the reality through anova and s/n ratio calculation.
1. The study uses CFD to simulate the flow behavior within the evaporator unit of a window air conditioner.
2. The simulation found that the mass flow rate of air through the system is 0.27 kg/s and the velocity ranges from 1.329 to 14.083 m/s across different locations.
3. The static pressure was found to vary from -1.356 Pa at the inlet to +0.348 Pa at the outlet.
ME 490_HaydenYoungs_FinalReport.FinalCopyHayden Youngs
This document discusses substituting natural gas burners for electric heaters in industrial drying processes. It analyzes a case study of a manufacturing plant that currently uses electric heaters. The proposal is to remove the electric heaters and install natural gas burners while utilizing existing air ducts. Combustion calculations show natural gas is a viable fuel. A physical model was constructed and CFD simulations were performed. The results suggest natural gas burners could reduce costs and carbon emissions while increasing production speed compared to electric heaters. However, further work is needed to address emissions and ensure proper mixing of fuel and air for safe, efficient combustion.
Similar to Calculation guidelines for Rotary Dryer.pdf (20)
Our Lady of Fatima Chapel will hold its annual celebration bringing the community together in faith, solidarity and love. The AFC Duplex Residents Association officers are requesting support from Toledo Manpower Services to help cover costs and ensure the festivities are accessible to all. Details of this year's activities will be provided upon request.
This document summarizes an experiment to calibrate a venturi meter and orifice meter by measuring their coefficient of discharge at varying Reynolds numbers. The results show the coefficient of discharge increases linearly with Reynolds number for the orifice meter, while it decreases inversely for the venturi meter. Pressure drop is also greater in the orifice meter compared to the venturi meter. The experiment aimed to compare the two flow measurement devices based on Bernoulli's principle and better understand their characteristics.
Sieving or screen analysis is a common technique used to separate particles by size. It involves shaking a sample through a series of sieves with decreasing mesh sizes to separate particles. This document describes conducting a sieve analysis experiment on calcium carbonate over different time intervals. The results show that longer sieving times of 6 minutes produced the best separation of particles into different size fractions compared to 2 and 4 minute intervals. Sieve analysis provides useful information about particle size distribution that is important for understanding properties and performance.
Sedimentation is the process where particles in suspension settle out of the fluid they are entrained in, due to forces like gravity, centrifugal force, and drag. It is widely used in industries like food, water treatment, and wastewater treatment. The document discusses the principles and mechanisms of sedimentation through equations of motion and graphical representations of particle settling. An experiment is described that examines the relationship between calcium carbonate concentration, initial suspension height, and settling velocity, though it has some errors. The results show higher concentrations and lower initial heights increase settling velocity. Recommendations to improve experimental control and reduce errors are provided.
The experiment determined the relationship between fluid flow rate and Reynolds number in a circular pipe. Five trials were conducted with increasing flow rates. Trials 1 and 2 had Reynolds numbers over 4000 and showed turbulent flow as seen in dye movement. Trials 4 and 5 had laminar flow as indicated by Reynolds numbers under 2100 and smooth dye movement. Trial 3 exhibited transient flow characteristics between laminar and turbulent, with a Reynolds number from 2100 to 4000 and zigzagging dye. The results demonstrated how Reynolds number can predict the type of flow in a pipe.
The document describes an experiment on plate and frame filter press. It provides theoretical background on how filter presses work through pressure filtration. Key steps of the experiment include preparing calcium carbonate slurries at 10% and 20% concentrations and measuring filtration rate over time. Results showed filtration rate decreased with time and was slower for the higher concentration slurry due to the heavier solid requiring more time to filter. The document concludes various factors like solid properties and concentration affect filtration rate.
Heat loss in Bare and Lagged Pipes- Ed Ryan M. RualesEd Ryan Ruales
Insulated pipes have higher lagging efficiency than uninsulated pipes, reducing heat loss. An experiment measured heat loss from pipes with different coverings. The 85% magnesia insulated pipe had the lowest surface temperature and least heat loss. Errors may have occurred from deteriorated insulation and inconsistent temperature readings. It is recommended to improve insulation quality and use calibrated thermocouples for more accurate results. Insulation effectively minimizes industrial pipe heat loss and improves worker comfort.
The document describes an experiment to study fluidization by measuring the pressure drop across a particle bed as fluid flow rate increases. Key findings include:
- As fluid flow rate increases, pressure drop across the bed increases and bed height expands as particles are lifted by the upward drag force.
- Calculations show superficial velocity increases with flow rate while friction factor decreases, indicating greater fluidization at higher flow rates.
- A graph of friction factor versus bed Reynolds number shows friction decreasing with increasing Reynolds number, demonstrating that higher flow rates reduce friction and facilitate fluidization.
The experimental data agrees with fluidization theory and validates the experiment. Higher flow rates produce clearer fluidization as variables like bed height, pressure drop
The document summarizes an experiment to determine the relationship between speed of rotation, diameter, and power requirement for baffled and unbaffled tanks. Data showed that power number decreases as Reynolds number increases, and is higher for baffled tanks than unbaffled tanks under turbulent conditions. The power requirement increases with impeller size but operating at very high speeds can lead to inefficiency through vortex formation.
How safety is important in day to day life is shown with the help of crime prevention in environmental design (CPTED) in housing project
we rather design in such a way where there is no need to install the camera's after construction
"Explore the essentials of graphic design through a comprehensive presentation covering its introduction, scope, key elements, fundamental principles, and essential tools. Gain insights into the artistry and functionality behind compelling visual communication."
SS26 Environments & Design Peclers Paris Trend BookPeclers Paris
After celebrating the desirability of sufficiency, magical oneirism emerges as a new keystone of creative inspiration. Enhancing reality with a fantastic halo, unbridled imaginary worlds inspire promising futures.
Octalysis Prime Challenge - GamerTalesAIYu-kai Chou
The Octalysis Group is looking for UX Designers who have an understanding of Octalysis.
We are looking for UX designers who can take an existing Strategy Dashboard, and create a short Brainstormand visually make it come to life. This is step 2 (Brainstorm) and step 5 (Wireframes) of the 5-Step Octalysis design process. If you are hired, you would work with a senior TOG specialist, getting information on which screens to be done and executing these. All the while working with the general principles of Octalysis in these screens.
You’ll be working with Figma to deliver high fidelity wireframes at a high pace.
Revolutionizing architecture: how 3D printing simplifies model makingarc3dprintingdubai
Making architectural models with 3D printing, which is also called additive manufacturing, has changed the way different industries work and architecture is one of them. This technology makes it easier to make detailed and precise architectural models. It provides many advantages compared to traditional methods.
2. ROTARY DRYER DESIGN
1. Heat and mass balance in a rotary dryer
1.1 Mass Balance
To calculate the heat duty, a mass balance must be established. General mass balance
around the dryer is given in the equation below.
(1.1)
(1.2)
Mass of feed is equivalent to the mass of solids and the moisture it contains. This can be
used in calculating the heat balance around the dryer.
(1.3)
(1.4)
1.2 Heat Duty of dryer
Heat transferred in direct-heat rotary dryer is expressed as follows:
(1.5)
Q is the rate of heat transfer, Ua is the volumetric heat transfer coefficient, V is the dryer
volume, and Δt is the true mean difference between the drying air and the material.
The heat supplied by the drying air is used for five different operations:
a. To heat the dry solid from its inlet temperature to its final temperature.
(1.6)
b. To heat moisture to vaporization temperature (inlet wet-bulb temperature).
(1.7)
c. Heat to evaporate moisture.
(1.8)
d. To heat residual moisture to final temperature.
(1.9)
e. To superheat the evaporated moisture
(1.10)
The overall heat transfer to the product is given by the equation.
𝑄 = (1 + 𝛼)( 𝑄1 + 𝑄2 + 𝑄3 + 𝑄4 + 𝑄5) (1.11)
Q=UaV(ΔT)lm
𝑄1 = 𝑚𝑠 × 𝐶𝑠 × (𝑇𝑓2 − 𝑇𝑓1)
𝑄2 = 𝑚𝑤 × 𝐶𝑤 × (𝑇𝑤 − 𝑇𝑓1)
𝑄3 = 𝑚𝑒 × λ𝑙𝑣
𝑄4 = 𝑚𝑟𝑤 × 𝐶𝑤 × (𝑇𝑓2 − 𝑇𝑤)
𝑄5 = 𝑚𝑒 × 𝐶𝑣 × (𝑇𝑓2 − 𝑇𝑤)
𝑚𝑓 = 𝑚𝑒 + 𝑚𝑝
𝑚𝑓 (1 − 𝑋1) = 𝑚𝑝 (1 − 𝑋2)
𝑚𝑠 = 𝑚𝑓 (1 − 𝑋1)
𝑚𝑤 = 𝑚𝑓 (𝑋1)
3. where 𝛼 is a factor that presents heat loss due to convection and radiation which ranger to 7-
10%.
1.3 Air mass rate
The air mass rate required to transfer sufficient heat for the drying is
(1.12)
Density of air can be estimated using the psychrometric chart or with the equation below
(1.13)
1.4 Gas mass velocity
Gas mass velocity must be determined before modelling a rotary dryer. Allowable mass
velocity, G, of the gas in a direct-contact rotary dryer depends on the dusting characteristic of the
material being dried and usually ranges from 2000-25000 kg/m2
h.
1.5 Air humidity
The humidity of the exit air must be checked to verify that it does not exceed the
maximum vapor the exit air can hold.
(1.13)
2. Number of Heat Transfer Unit and Log-Mean Temperature
NTU is the ratio of the overall thermal conduction to the smaller heat capacity. It is a
combination of overall heat transfer coefficient, transfer area, fluid flow rate, and heat capacity
parameters which is combined to form this one-dimensional parameter. This can be used to
calculate the wet-bulb temperature if exit gas temperature is given and vice versa.
(2.1)
Rotary dryers are operated most economically when Nt is between 1.5 to 2.5.
Log-mean temperature can be calculated using the equation
(2.2)
𝑚𝑎 =
𝑄
𝐶𝑎(𝑇𝑎2 − 𝑇𝑎1)
𝑌2 = 𝑌1 +
𝑚𝑒
𝑚𝑎
Nt=ln(Ta1-Tw/Ta2-Tw)
(ΔT)lm=
(𝑇𝑎1 − 𝑇𝑤) − (𝑇𝑎2 − 𝑇𝑤)
ln(Ta1-Tw/Ta2-Tw)
𝑣ℎ =
22.41𝑇
273.15
× (
1
28.97
+
𝐻
18.02
)
4. 3. Diameter
Dryer diameter is a function of the amount of materials that will be subject to drying. The
gas mass velocity is also a factor in determining the ideal dryer diameter.
(3.1)
To calculate the diameter of the dryer
(3.2)
4. Overall heat transfer coefficient
The volumetric heat-transfer coefficient itself consists of a heat-transfer coefficient Uv
based on the effective area of contact between the gas and the solids, and the ratio a of this
area to the dryer volume. An empirical equation is to calculate volumetric heat transfer is given
as follow:
(4.1)
Optimum value for the constant k by AICHE ranges from 3.75-5.25 and is dependent on the
materials, flight geometry, rotational speed, and dryer holdup. Values for n are suggested by
various authors.
Friedman and Marshall (1949) 0.16
Aiken and Polsak (1982) 0.37
Miller et al. (1942) 0.60
McCormick (1962) 0.67
Myklestad (1963) 0.80
5. Length of Dryer
Dryer length is a function of the calculated values above. It highly affects the residence time of
the material and one of the bases of effective dryer. Length is calculated based on the heat transfer
coefficient (equation 1.5).
(5.1)
Volume can be calculated after length is determined.
(5.2)
𝐴 =
𝑚𝑎
𝐺
𝑑 = √
4𝑚𝑎
𝜋𝐺
𝑈𝑎 =
𝑘𝐺𝑛
𝐷
𝐿 =
4𝑄
𝜋𝐷2𝑈𝑎 ∙ (ΔT)lm
V=A×L
5. 6. Peripheral Speed and Rotational Speed
Peripheral Speed P is the distance travelled by a point in a perpendicularly rotating body over
a period of time. Peripheral speed ranges from 0.1 – 0.5 m/s.
Rotational speed is calculated
(6.1)
7. Flights design
Flights help to increase the surface area of contact between the material and drying air. Its
dimension is based on the percent loading of the solid in the dryer. An ideal solids loading is said
to be optimum between 10-15%. With this, the number and height of flights can be calculated
using the equations below.
(7.1)
(7.2)
For more accurate design procedure, see flights designing.
8. Residence Time
Residence time equation is given by Friedmann and Marshall. The second terms is the drag
friction caused by the gas.
(8.1)
where S is the slope in rad, F is the solids feed rate per minute. B is dependent on particle diameter
in microns.
9. Dryer Hold-up volume
Hold-up volume is volume occupied by the solids inside the dryer within the residence time. This
is important since it can identify if the dryer is underloaded or overloaded. It is also used for load
computations.
(9.1)
(9.2)
N=P/πD
Fd
=D/8
Nf
=3D
τ=
0.3344𝐿
S𝑁0.9D
+
0.608BLG
F
B=5𝑑𝑝−0.5
%𝐻𝑉 =
𝑉𝑠𝑜𝑙𝑖𝑑𝑠
𝑉𝑑𝑟𝑦𝑒𝑟
𝑉𝑠𝑜𝑙𝑖𝑑𝑠 =
𝐹 × 𝑅
ρb
7. Case Study: Solids drying at AFC Granulation Plant 1
Step 1: Specification of Duty
Fertilizer from a granulator with a temperature of 80 0
C and at a rate of 30000 kg/hr containing
moisture of 5% (w.b.) will be dried in a rotary dryer to a final product containing 1.5% moisture. Drying air
from the burner is available at 400 0
C and 0.0188 kg/kg dA humidity. Material must not be heated above
130 0
C. Maximum air mass velocity is set at 9000 kg/hr-m2.
Step 2: Collection of physical and thermophysical data
Data for Process Design Calculation
Product Specification:
Parameter Data Symbol Unit
Feed Rate 30000 F Kg/hr
Initial Moisture content wb 5% X1 Kg/kg wb
Final Moisture content wb 1.5% X2 Kg/kg wb
Inlet Temperature feed 333 Tf1 K
Final Temperature feed 370 Tf2 K
Product average diameter 4 dp mm
Thermophysical Properties:
Parameter Data Symbol Unit
Specific heat of product 1.188 Cs Kg/hr
Specific heat of water 4.18 Cw Kg/kg wb
Specific heat of vapor 1.89 Cv Kg/kg wb
Specific heat of air 1.048 Ca K
Latent heat of vaporization 2300 λl kJ/kg
Bulk Density feed 970 ρb Kg/m3
Properties of Air
Parameter Data Symbol Unit
Gas Mass flow rate 9000 G Kg/hr m2
Atmospheric air
temperature
303 Ta K
Air humidity 0.0188 Y1 Kg H2O/kg dA
Temperature of air after
burner
673 Ta1 K
8. Step 3: Determination of temperature profiles
With the given properties of air, identify wet-bulb temperature using psychrometric chart. Calculate the
outlet air temperature using equation 2.1. At 673K and 0.0188 kg/kg dA, wet-bulb temperature is 343 K.
Using equation 2.1 with Nt say 2, estimate the outlet air.
The outlet air temperature is estimated to be 387 K. Calculate the log mean temperature using equation
2.2.
Step 4. Perform Mass balance
Step 5: Perform Heat Duty Calculation using equation (1.5-11)
Nt=ln(Ta1-Tw/Ta2-Tw)
2=ln(673-343/Ta2-343)
Ta2 = 387
(ΔT)lm=
(𝑇𝑎1 − 𝑇𝑤) − (𝑇𝑎2 − 𝑇𝑤)
ln(Ta1-Tw/Ta2-Tw)
(ΔT)lm=
(673 − 343) − (387 − 343)
ln(673-343/387-343)
= 142.669
𝑚𝑓 = 𝑚𝑒 + 𝑚𝑝
𝑚𝑓 (1 − 𝑋1) = 𝑚𝑝 (1 − 𝑋2)
30000 = 𝑚𝑒 + 𝑚𝑝
30000(1 − .05) = 𝑚𝑝 (1 − .015)
𝑚𝑝 = 28934.02
me = 1065.98
𝑄1 = 𝑚𝑠 × 𝐶𝑠 × (𝑇𝑓2 − 𝑇𝑓1)
𝑄2 = 𝑚𝑤 × 𝐶𝑤 × (𝑇𝑤 − 𝑇𝑓1)
𝑄3 = 𝑚𝑒 × λ𝑙𝑣
= 30000 × 0.95 × 1.188 (370 − 333) = 1252746 𝑘𝐽/ℎ𝑟
= 30000 × .05 × 4.184(343 − 333) = 62760 𝑘𝐽/ℎ𝑟
= 1065.98 × 2400 = 2558375.635 𝑘𝐽/ℎ𝑟
10. Step 7: Calculate outside air humidity
Using equation
The outlet humidity is below the saturation humidity at outlet air properties.
Step 8: Calculate diameter
Assuming a Gas Mass Velocity of 3420 kg/hr m2, calculate the diameter using equation
Step 9: Calculate volumetric heat transfer coefficient
Using equation 4.1, setting k as 4 (optimum range 3.75-5.25) and n as 0.67 as McCormick suggested.
Step 10: Dryer Length and Volume Calculation
Using equation 5.1, calculate the length of the dryer. Equation 5.2 is used to calculate dryer volume.
𝑌2 = 𝑌1 +
𝑚𝑒
𝑚𝑎
𝑌2 = 0.0188 +
1065.98
14761.36488
= 0.0910 kg H2O/kg dA
𝐴 =
𝑚𝑎
𝐺
𝑑 = √
4𝑚𝑎
𝜋𝐺
𝐴 =
14761.36488
3420
= 4.316 𝑚2
𝑑 = √
4 × 14761.36
𝜋 × 3420
= 2.344 𝑚
𝑈𝑎 =
𝑘𝐺𝑛
𝐷
=
4 × 3420.67
2.344
=
397.97𝑘𝐽
ℎ𝑟 − 𝑚3 − 𝐾
=
4 × 4414178.044
𝜋 × 2.3442 × 397.97 ∙ 142.669
= 18.012 𝑚
V=A×L
𝐿 =
4𝑄
𝜋𝐷2𝑈𝑎 ∙ (ΔT)lm
= 4.316 × 18.012 = 77.7439 𝑚3
11. Step 11: Estimate Number of flights and flight design
(See flights design procedure)
Step 12: Estimate peripheral speed and Calculate rpm
Peripheral speed of dryers is typically between 0.1-0.5 m/s. Say the speed is 0.5 m/s, using equation 6.1,
calculate the rotational speed.
Step 13: Estimate slope and calculate residence time
Most dryers operate at a slope of 1ᵒ-5ᵒ, say for example that this dryer operates at 2ᵒ. General equation
for estimating the residence time of a material in a rotary dryer is given by Friedmann and Marshall.
Equation 8.1.
The drag of the gas in parallel operation pushes the material towards the outlet, thus, the negative sign
is used and results in a shorter residence time.
Step 14: Calculate hold up volume
Using equation 9.2
Holdup volume is calculated using 9.1.
N=P/πD
=0.5/π*2.344 = 4.07 rpm
B=5𝑑𝑝−0.5
τ=
0.3344𝐿
S𝑁0.9D
+
0.608BLG
F
=5*4000−0.5
= 0.07906
=
0.3344 ∗ 18.012
(
𝜋
180 × 2) 4.070.92.344
-
0.608*0.07906*18.012*28984.4714/60
30000/60
= 19.958 𝑚𝑖𝑛𝑠
𝑉𝑠𝑜𝑙𝑖𝑑𝑠 =
𝐹 × 𝑅
ρb
𝑉𝑠𝑜𝑙𝑖𝑑𝑠 =
30000 × 19.958 × 1/60
970
= 10.28762 𝑚3
%𝐻𝑉 =
𝑉𝑠𝑜𝑙𝑖𝑑𝑠
𝑉𝑑𝑟𝑦𝑒𝑟
%𝐻𝑉 =
10.28762
77.7489
× 100 = 13.23%
12. This value is within optimum holding volume value of 10-16%. Thus, design can be considered as
appropriate.
Step 15: Estimation of Mechanical works
Proceed to the calculation of insulation if applicable. Consult mechanical department for motor
specifications.