The document discusses the derivation of the wave equation from first principles. It begins by considering transverse vibrations on an elastic string under tension. By analyzing changes in tension and angle as a small segment of string is displaced, an expression for the wave motion is obtained. Approximating for small motions, the standard one-dimensional wave equation is derived. The derivation is then extended to multiple dimensions. Applications to damped systems and transmission lines are also discussed. Worked examples are provided to solve the wave equation for specific initial conditions.
This document provides a derivation of the heat conduction equation and discusses its applications and generalizations. It begins by reviewing the early work of Jean Baptiste Biot and Jean Baptiste Joseph Fourier who helped establish the foundations for analyzing heat conduction. It then derives the one-dimensional heat conduction equation from first principles, making assumptions about heat flow through a solid rod. The derivation shows how the equation accounts for heat flux and absorption. Finally, it generalizes the equation to multi-dimensional spaces and discusses incorporating source/sink terms and variable material properties. Two examples are provided to demonstrate solving the heat conduction equation.
This document provides a derivation of the heat conduction equation and wave equation. It begins by summarizing the work of key historical figures in heat transfer such as Fourier and Biot. It then shows the derivation of the 1D heat conduction equation from first principles considering heat flux and absorption. This is generalized to multiple dimensions and boundary/initial conditions. An example problem solving for temperature distribution over time is included. Finally, the derivation of the 1D wave equation considers transverse vibrations on an elastic string and arrives at the standard form.
This document discusses partial differential equations and heat transfer problems. It provides an example of modeling heat flow through a straight bar using principles of physics. This leads to the derivation of the one-dimensional heat equation. Boundary and initial conditions are also discussed. Solutions are found using the method of separation of variables. The document also briefly discusses the wave equation and Fourier series, providing examples of their applications to problems of heat transfer and vibrating strings.
The one-dimensional heat equation describes heat flow along a rod. It can be solved using separation of variables. For a rod with insulated sides initially at uniform temperature u0 and ends suddenly cooled to 0°C:
1) The solution is a Fourier series involving eigenfunctions that satisfy the boundary conditions.
2) The temperature is the sum of the eigenfunctions weighted by Fourier coefficients involving u0.
3) As time increases, the temperature decreases towards the boundary values according to exponential decay governed by the eigenvalues.
This document discusses partial differential equations and heat transfer. It begins by introducing the heat equation, which models heat conduction in a solid body. It presents the one-dimensional heat equation and describes Fourier's analysis using separation of variables. The solution is expressed as a Fourier series involving sine and exponential terms. Examples are provided of using Fourier series to solve heat equations subject to various boundary conditions.
The document provides data and equations to solve several physics problems related to fluid dynamics and material properties. It gives the dimensions of a room and calculates the mass of air in the room. It also gives properties of nitrogen gas and calculates the mass of nitrogen in a storage tank. Finally, it provides equations and properties to calculate the maximum speed of a small aluminum sphere falling through air, and the time to reach 95% of this maximum speed.
The document discusses the wave equation and its application to modeling vibrating strings and wind instruments. It describes how the wave equation can be separated into independent equations for time and position using the assumption that displacement is the product of separate time and position functions. This separation leads to trigonometric solutions that satisfy the boundary conditions of strings fixed at both ends. The solutions represent standing waves with discrete frequencies determined by the length, tension, and density of the string. Similar methods apply to wind instruments with different boundary conditions.
This document provides a derivation of the heat conduction equation and discusses its applications and generalizations. It begins by reviewing the early work of Jean Baptiste Biot and Jean Baptiste Joseph Fourier who helped establish the foundations for analyzing heat conduction. It then derives the one-dimensional heat conduction equation from first principles, making assumptions about heat flow through a solid rod. The derivation shows how the equation accounts for heat flux and absorption. Finally, it generalizes the equation to multi-dimensional spaces and discusses incorporating source/sink terms and variable material properties. Two examples are provided to demonstrate solving the heat conduction equation.
This document provides a derivation of the heat conduction equation and wave equation. It begins by summarizing the work of key historical figures in heat transfer such as Fourier and Biot. It then shows the derivation of the 1D heat conduction equation from first principles considering heat flux and absorption. This is generalized to multiple dimensions and boundary/initial conditions. An example problem solving for temperature distribution over time is included. Finally, the derivation of the 1D wave equation considers transverse vibrations on an elastic string and arrives at the standard form.
This document discusses partial differential equations and heat transfer problems. It provides an example of modeling heat flow through a straight bar using principles of physics. This leads to the derivation of the one-dimensional heat equation. Boundary and initial conditions are also discussed. Solutions are found using the method of separation of variables. The document also briefly discusses the wave equation and Fourier series, providing examples of their applications to problems of heat transfer and vibrating strings.
The one-dimensional heat equation describes heat flow along a rod. It can be solved using separation of variables. For a rod with insulated sides initially at uniform temperature u0 and ends suddenly cooled to 0°C:
1) The solution is a Fourier series involving eigenfunctions that satisfy the boundary conditions.
2) The temperature is the sum of the eigenfunctions weighted by Fourier coefficients involving u0.
3) As time increases, the temperature decreases towards the boundary values according to exponential decay governed by the eigenvalues.
This document discusses partial differential equations and heat transfer. It begins by introducing the heat equation, which models heat conduction in a solid body. It presents the one-dimensional heat equation and describes Fourier's analysis using separation of variables. The solution is expressed as a Fourier series involving sine and exponential terms. Examples are provided of using Fourier series to solve heat equations subject to various boundary conditions.
The document provides data and equations to solve several physics problems related to fluid dynamics and material properties. It gives the dimensions of a room and calculates the mass of air in the room. It also gives properties of nitrogen gas and calculates the mass of nitrogen in a storage tank. Finally, it provides equations and properties to calculate the maximum speed of a small aluminum sphere falling through air, and the time to reach 95% of this maximum speed.
The document discusses the wave equation and its application to modeling vibrating strings and wind instruments. It describes how the wave equation can be separated into independent equations for time and position using the assumption that displacement is the product of separate time and position functions. This separation leads to trigonometric solutions that satisfy the boundary conditions of strings fixed at both ends. The solutions represent standing waves with discrete frequencies determined by the length, tension, and density of the string. Similar methods apply to wind instruments with different boundary conditions.
Differential equations model real-world phenomena involving continuously changing quantities and their rates of change. Some examples include:
1) Population growth modeled by an exponential growth differential equation where the rate of change of population is proportional to the current population.
2) The motion of a falling object modeled by a differential equation where acceleration due to gravity relates the rate of change of velocity to the rate of change of height over time.
3) Newton's law of cooling modeled by a differential equation where the rate of change of temperature is proportional to the difference between the temperature of an object and its environment.
4) The electric current in an RL circuit modeled by a differential equation relating the rate of change of current to
Partial differential equations (PDEs) involve rates of change with respect to continuous variables and are used to model phenomena in infinite-dimensional configuration spaces like fluids. PDEs are generally harder to solve than ordinary differential equations (ODEs) but have simple solutions for linear problems. Classic domains where PDEs are used include acoustics, fluid flow, electrodynamics, and heat transfer. The document gives examples of using PDEs in wave equations to model the transverse vibrations of a stretched string and in transmission line equations to model how electrical current and voltage vary along a wire over time. PDEs can describe a variety of physical phenomena through formalization with multidimensional dynamical systems, similarly to how ODE
The one-dimensional wave equation governs vibrations of an elastic string. It is solved by separating variables, yielding solutions of the form F(x)G(t) where F and G satisfy ordinary differential equations. Boundary conditions require F(x) to be sinusoidal, with wavelengths that are integer multiples of the string length. The general solution is a superposition of these sinusoidal modes, with coefficients determined by the initial conditions. Motions of strings with different initial displacements are expressed as solutions to the one-dimensional wave equation.
After watching this ppt you will get answers of the questions like...
1) What does it mean?
2) What we study in calculus?
3) Who invented it?
4) What was the need to invent it?
and many more...
You will also learn about the basic difference between discrete and continuous.
And many real life and cool applications of calculus....
This document summarizes heat transfer via extended surfaces or fins. It defines key terms like convection coefficient h and discusses how fins work to increase surface area and thus conductive heat transfer. The document derives the differential equation that governs one-dimensional, steady-state heat transfer through a fin. It presents solutions to this equation for different boundary conditions, like an insulated tip or prescribed tip temperature. Fin effectiveness is introduced as a metric for how well a fin enhances heat transfer compared to no fin.
This document discusses applications of differential equations. It begins by covering the invention of differential equations by Newton and Leibniz. It then defines differential equations and covers types like ordinary differential equations (ODEs) and partial differential equations (PDEs). Examples of commonly used differential equations are provided, such as the Laplace equation, heat equation, and wave equation. Applications of differential equations are discussed, including modeling mechanical oscillations, electrical circuits, and Newton's law of cooling.
This document is a solution to a physics problem set composed and formatted by E.A. Baltz and M. Strovink. It contains solutions to 6 problems using vector algebra and trigonometry. The document uses concepts like the law of cosines, dot products, cross products, and vector identities to break vectors into components and calculate angles between vectors. It also applies these concepts to problems involving vectors representing locations on a sphere and wind resistance problems for airplanes.
Text Book: An Introduction to Mechanics by Kleppner and Kolenkow
Chapter 1: Vectors and Kinematics
-Explain the concept of vectors.
-Explain the concepts of position, velocity and acceleration for different kinds of motion.
References:
Halliday, Resnick and Walker
Berkley Physics Volume-1
We use stochastic methods to present mathematically correct representation of the wave function. Informal construction was developed by R. Feynman. This approach were introduced first by H. Doss Sur une Resolution Stochastique de l'Equation de Schrödinger à Coefficients Analytiques. Communications in Mathematical Physics
October 1980, Volume 73, Issue 3, pp 247–264.
Primary intention is to discuss formal stochastic representation of the Schrodinger equation solution with its applications to the theory of demolition quantum measurements.
I will appreciate your comments.
The document discusses the topic of moment of inertia. It will cover moment of inertia concepts including introduction, parallel axis theorem, perpendicular axis theorem, and moment of inertia calculations for rectangles, triangles, and circles. Examples are provided for calculating the moment of inertia of a rectangle about its centroidal axis and for a triangular section about its base and centroidal axis. The last example calculates the second moment of inertia of a circular lamina about its centroidal axis using the polar moment of inertia method.
Application of Differential Equation in Real LifeMd.Sumon Sarder
This presentation discusses applications of differential equations in real life, including Newton's Law of Cooling, exponential population growth, radioactive decay, and falling objects. It will be presented by Md. Sumon Sarder and explores differential equation models for how temperature changes over time according to Newton's Law, how a population grows exponentially assuming positive population and growth rate, how radioactive material decreases exponentially over time, and the differential equation that describes falling objects. The presentation concludes with an opportunity for any questions.
- Green's Theorem relates a line integral around a closed curve C to a double integral over the region D bounded by C. It expresses the line integral as the double integral of the curl or divergence of the vector field over D.
- The curl and divergence operators can be used to write Green's Theorem in vector forms involving the tangential and normal components of the vector field along C.
- Parametric surfaces in 3D space can be described by a vector-valued function r(u,v) of two parameters u and v. The set of points traced out by this function as u and v vary is the parametric surface.
Calculus in real life (Differentiation and integration )Tuhin Ahmed
- Calculus involves dividing problems into small pieces to understand change (differential calculus) or combining pieces to find totals (integral calculus).
- Newton's Law of Cooling uses differential calculus to model how an object's temperature changes over time as it approaches the temperature of its environment.
- Integral calculus can be used to calculate the area under a curve, such as finding the area between a curve and the x-axis given the curve's equation and bounds of integration.
The document discusses applications of differential equations. It begins by providing a brief history of differential equations, noting they were independently invented by Newton and Leibniz. It then defines ordinary and partial differential equations. Examples of applications are given for modeling phenomena like cooling, oscillations, and game development. Specific differential equations like Laplace's, heat, and wave equations are discussed along with physical applications in fields like physics, engineering, and biology. Newton's law of cooling is provided as a motivating example and its applications are outlined.
This chapter discusses calculating the positions of centers of mass for various objects. It begins with definitions of center of mass, center of gravity, and centroid. It then provides calculations for finding the center of mass of:
1) Plane areas where the equation is given in x-y or polar coordinates
2) Plane curves where the equation is given in x-y or polar coordinates
3) Three dimensional figures like hemispheres and cones
4) Simple geometric shapes like triangles, where the center of mass can be found without calculus.
The positions of centers of mass have physical significance beyond just mathematical calculations, such as in problems involving static equilibrium, dynamics, and hydrostatics.
The document defines the cross product of two vectors in R3. It provides properties of the cross product, including that it is skew-commutative and not associative. The cross product of two vectors v and w has magnitude equal to the area of the parallelogram with sides v and w, and is orthogonal to both v and w. Several examples of computing cross products are provided. The document also introduces the triple scalar product and proves several properties of the cross product using this concept.
The document introduces second order differential equations and their solutions. It defines an initial value problem for a second order equation as consisting of the equation and two initial conditions. Linear equations are introduced, which can be written in standard form or with constant or variable coefficients. The dynamical system formulation converts a second order equation to a system of first order equations. Undamped and damped free vibrations are discussed. Examples are provided, including finding the solution to an initial value problem, and determining the quasi-frequency, quasi-period, and equilibrium crossing time.
The document summarizes the heat output of a hair straightener over time. It is described by three functions between 0-3.2 minutes, 3.2-8 minutes, and 8-12 minutes.
The total heat output over the full 12 minutes is found to be 3224.98 hundred degree units by calculating the integrals of each function.
The interval with the greatest increase in heat is found to be from 0-3.2 minutes, with a maximum increase of 218.0 degrees F per minute at 0 minutes.
The heat decrease at 9.2 minutes is calculated to be 145.24 degrees F per minute by substituting into the third function.
The document discusses work and line integrals. It defines work as the force component parallel to the distance moved, and how line integrals are used to calculate work when the force varies over the distance. It provides examples of evaluating line integrals, including along a straight line path and broken into multiple path segments. For a given force function F(x,y,z), it shows how to set up and evaluate the line integral to find the work done along different paths between two points.
- The binormal vector B(t) is defined as the cross product of the unit tangent vector T(t) and unit normal vector N(t).
- It is proven that B(t) is a unit vector, meaning it has constant length. Its derivative dB/ds is therefore orthogonal to B(t).
- The torsion τ of a space curve is defined as the rate of change of the binormal vector with respect to arc length s, or τ = -dB/ds·N. Torsion measures how much a curve twists as one moves along it.
- For a plane curve, the torsion is always zero since the cross product that defines torsion is equal to the
This document discusses partial differential equations and the heat equation. It begins by defining partial differential equations and providing an example of the heat equation modeling heat transfer through a solid body. It then derives the one-dimensional heat equation to model heat flow through a uniform bar. The method of separation of variables is introduced to solve the heat equation under various boundary and initial conditions. Finally, examples are provided to demonstrate solving heat transfer problems using Fourier series expansions.
1) The document discusses solving the one-dimensional heat conduction equation for a bar with different boundary conditions.
2) For a bar with insulated ends, the solution is a Fourier series involving cosine terms.
3) For a bar with ends kept at arbitrary temperatures, the solution consists of a steady-state linear term plus a transient solution that is the same as the solution for a bar with ends at zero temperature.
Differential equations model real-world phenomena involving continuously changing quantities and their rates of change. Some examples include:
1) Population growth modeled by an exponential growth differential equation where the rate of change of population is proportional to the current population.
2) The motion of a falling object modeled by a differential equation where acceleration due to gravity relates the rate of change of velocity to the rate of change of height over time.
3) Newton's law of cooling modeled by a differential equation where the rate of change of temperature is proportional to the difference between the temperature of an object and its environment.
4) The electric current in an RL circuit modeled by a differential equation relating the rate of change of current to
Partial differential equations (PDEs) involve rates of change with respect to continuous variables and are used to model phenomena in infinite-dimensional configuration spaces like fluids. PDEs are generally harder to solve than ordinary differential equations (ODEs) but have simple solutions for linear problems. Classic domains where PDEs are used include acoustics, fluid flow, electrodynamics, and heat transfer. The document gives examples of using PDEs in wave equations to model the transverse vibrations of a stretched string and in transmission line equations to model how electrical current and voltage vary along a wire over time. PDEs can describe a variety of physical phenomena through formalization with multidimensional dynamical systems, similarly to how ODE
The one-dimensional wave equation governs vibrations of an elastic string. It is solved by separating variables, yielding solutions of the form F(x)G(t) where F and G satisfy ordinary differential equations. Boundary conditions require F(x) to be sinusoidal, with wavelengths that are integer multiples of the string length. The general solution is a superposition of these sinusoidal modes, with coefficients determined by the initial conditions. Motions of strings with different initial displacements are expressed as solutions to the one-dimensional wave equation.
After watching this ppt you will get answers of the questions like...
1) What does it mean?
2) What we study in calculus?
3) Who invented it?
4) What was the need to invent it?
and many more...
You will also learn about the basic difference between discrete and continuous.
And many real life and cool applications of calculus....
This document summarizes heat transfer via extended surfaces or fins. It defines key terms like convection coefficient h and discusses how fins work to increase surface area and thus conductive heat transfer. The document derives the differential equation that governs one-dimensional, steady-state heat transfer through a fin. It presents solutions to this equation for different boundary conditions, like an insulated tip or prescribed tip temperature. Fin effectiveness is introduced as a metric for how well a fin enhances heat transfer compared to no fin.
This document discusses applications of differential equations. It begins by covering the invention of differential equations by Newton and Leibniz. It then defines differential equations and covers types like ordinary differential equations (ODEs) and partial differential equations (PDEs). Examples of commonly used differential equations are provided, such as the Laplace equation, heat equation, and wave equation. Applications of differential equations are discussed, including modeling mechanical oscillations, electrical circuits, and Newton's law of cooling.
This document is a solution to a physics problem set composed and formatted by E.A. Baltz and M. Strovink. It contains solutions to 6 problems using vector algebra and trigonometry. The document uses concepts like the law of cosines, dot products, cross products, and vector identities to break vectors into components and calculate angles between vectors. It also applies these concepts to problems involving vectors representing locations on a sphere and wind resistance problems for airplanes.
Text Book: An Introduction to Mechanics by Kleppner and Kolenkow
Chapter 1: Vectors and Kinematics
-Explain the concept of vectors.
-Explain the concepts of position, velocity and acceleration for different kinds of motion.
References:
Halliday, Resnick and Walker
Berkley Physics Volume-1
We use stochastic methods to present mathematically correct representation of the wave function. Informal construction was developed by R. Feynman. This approach were introduced first by H. Doss Sur une Resolution Stochastique de l'Equation de Schrödinger à Coefficients Analytiques. Communications in Mathematical Physics
October 1980, Volume 73, Issue 3, pp 247–264.
Primary intention is to discuss formal stochastic representation of the Schrodinger equation solution with its applications to the theory of demolition quantum measurements.
I will appreciate your comments.
The document discusses the topic of moment of inertia. It will cover moment of inertia concepts including introduction, parallel axis theorem, perpendicular axis theorem, and moment of inertia calculations for rectangles, triangles, and circles. Examples are provided for calculating the moment of inertia of a rectangle about its centroidal axis and for a triangular section about its base and centroidal axis. The last example calculates the second moment of inertia of a circular lamina about its centroidal axis using the polar moment of inertia method.
Application of Differential Equation in Real LifeMd.Sumon Sarder
This presentation discusses applications of differential equations in real life, including Newton's Law of Cooling, exponential population growth, radioactive decay, and falling objects. It will be presented by Md. Sumon Sarder and explores differential equation models for how temperature changes over time according to Newton's Law, how a population grows exponentially assuming positive population and growth rate, how radioactive material decreases exponentially over time, and the differential equation that describes falling objects. The presentation concludes with an opportunity for any questions.
- Green's Theorem relates a line integral around a closed curve C to a double integral over the region D bounded by C. It expresses the line integral as the double integral of the curl or divergence of the vector field over D.
- The curl and divergence operators can be used to write Green's Theorem in vector forms involving the tangential and normal components of the vector field along C.
- Parametric surfaces in 3D space can be described by a vector-valued function r(u,v) of two parameters u and v. The set of points traced out by this function as u and v vary is the parametric surface.
Calculus in real life (Differentiation and integration )Tuhin Ahmed
- Calculus involves dividing problems into small pieces to understand change (differential calculus) or combining pieces to find totals (integral calculus).
- Newton's Law of Cooling uses differential calculus to model how an object's temperature changes over time as it approaches the temperature of its environment.
- Integral calculus can be used to calculate the area under a curve, such as finding the area between a curve and the x-axis given the curve's equation and bounds of integration.
The document discusses applications of differential equations. It begins by providing a brief history of differential equations, noting they were independently invented by Newton and Leibniz. It then defines ordinary and partial differential equations. Examples of applications are given for modeling phenomena like cooling, oscillations, and game development. Specific differential equations like Laplace's, heat, and wave equations are discussed along with physical applications in fields like physics, engineering, and biology. Newton's law of cooling is provided as a motivating example and its applications are outlined.
This chapter discusses calculating the positions of centers of mass for various objects. It begins with definitions of center of mass, center of gravity, and centroid. It then provides calculations for finding the center of mass of:
1) Plane areas where the equation is given in x-y or polar coordinates
2) Plane curves where the equation is given in x-y or polar coordinates
3) Three dimensional figures like hemispheres and cones
4) Simple geometric shapes like triangles, where the center of mass can be found without calculus.
The positions of centers of mass have physical significance beyond just mathematical calculations, such as in problems involving static equilibrium, dynamics, and hydrostatics.
The document defines the cross product of two vectors in R3. It provides properties of the cross product, including that it is skew-commutative and not associative. The cross product of two vectors v and w has magnitude equal to the area of the parallelogram with sides v and w, and is orthogonal to both v and w. Several examples of computing cross products are provided. The document also introduces the triple scalar product and proves several properties of the cross product using this concept.
The document introduces second order differential equations and their solutions. It defines an initial value problem for a second order equation as consisting of the equation and two initial conditions. Linear equations are introduced, which can be written in standard form or with constant or variable coefficients. The dynamical system formulation converts a second order equation to a system of first order equations. Undamped and damped free vibrations are discussed. Examples are provided, including finding the solution to an initial value problem, and determining the quasi-frequency, quasi-period, and equilibrium crossing time.
The document summarizes the heat output of a hair straightener over time. It is described by three functions between 0-3.2 minutes, 3.2-8 minutes, and 8-12 minutes.
The total heat output over the full 12 minutes is found to be 3224.98 hundred degree units by calculating the integrals of each function.
The interval with the greatest increase in heat is found to be from 0-3.2 minutes, with a maximum increase of 218.0 degrees F per minute at 0 minutes.
The heat decrease at 9.2 minutes is calculated to be 145.24 degrees F per minute by substituting into the third function.
The document discusses work and line integrals. It defines work as the force component parallel to the distance moved, and how line integrals are used to calculate work when the force varies over the distance. It provides examples of evaluating line integrals, including along a straight line path and broken into multiple path segments. For a given force function F(x,y,z), it shows how to set up and evaluate the line integral to find the work done along different paths between two points.
- The binormal vector B(t) is defined as the cross product of the unit tangent vector T(t) and unit normal vector N(t).
- It is proven that B(t) is a unit vector, meaning it has constant length. Its derivative dB/ds is therefore orthogonal to B(t).
- The torsion τ of a space curve is defined as the rate of change of the binormal vector with respect to arc length s, or τ = -dB/ds·N. Torsion measures how much a curve twists as one moves along it.
- For a plane curve, the torsion is always zero since the cross product that defines torsion is equal to the
This document discusses partial differential equations and the heat equation. It begins by defining partial differential equations and providing an example of the heat equation modeling heat transfer through a solid body. It then derives the one-dimensional heat equation to model heat flow through a uniform bar. The method of separation of variables is introduced to solve the heat equation under various boundary and initial conditions. Finally, examples are provided to demonstrate solving heat transfer problems using Fourier series expansions.
1) The document discusses solving the one-dimensional heat conduction equation for a bar with different boundary conditions.
2) For a bar with insulated ends, the solution is a Fourier series involving cosine terms.
3) For a bar with ends kept at arbitrary temperatures, the solution consists of a steady-state linear term plus a transient solution that is the same as the solution for a bar with ends at zero temperature.
(1) The heat equation describes how heat flows over time within a material. It was first studied by Fourier in the early 1800s.
(2) The one-dimensional heat equation is derived assuming heat flows through a thin bar of homogeneous material with insulated sides. The temperature at any point depends only on position and time.
(3) Using Fourier's law of heat conduction and assumptions about the bar, an expression can be derived that relates the rate of heat transfer to the second spatial derivative of temperature - leading to the heat equation α2uxx = ut, where α is the thermal diffusivity.
Temperature Distribution in a ground section of a double-pipe system in a dis...Paolo Fornaseri
This document summarizes a numerical modelling report on the temperature distribution in a double-pipe system for district heating. It describes the heat equation model used and outlines the finite element method for discretization. Key steps include defining the geometry and boundary conditions, selecting physical parameters, generating the mesh with different refinement techniques, computing relevant matrices, and presenting results over time. The goal is to analyze the thermal distribution in the pipes buried in the ground.
This document provides an introduction to Fourier theory and its applications to solving partial differential equations. It discusses linear differential operators and the method of separation of variables. As an example, it uses separation of variables to solve the one-dimensional heat equation on a bar with different boundary conditions, showing that the solutions are Fourier series involving sines or cosines. The document outlines several key concepts in Fourier analysis including Fourier series, Bessel's inequality, and convergence results.
The document discusses unsteady state heat transfer through experimental studies of thermal diffusivities and heat transfer coefficients. It covers several topics:
1) Transient heat conduction problems involve temperature varying over time and position. Special cases of the heat equation are investigated, requiring initial and boundary conditions.
2) An example of a point thermal explosion problem is presented, where energy is instantaneously released at a point and the subsequent temperature distribution is measured over time and distance.
3) Several 1D transient heat conduction problems are formulated using non-dimensional parameters like Fourier number and Biot number, including a slab with convection at the boundary, a solid cylinder with internal convection, and a sphere undergoing convective cooling
One dimensional steady state fin equation for long finsTaufiq Rahman
This document presents the derivation of the one-dimensional steady-state fin equation for a long fin. It defines key terms like fin, temperature at the base (Tb) and surrounding fluid (T∞). The energy balance equation is shown for a differential volume element of the fin. Solving the resulting ordinary differential equation gives the temperature distribution equation as T(x) - T∞ = (Tb - T∞)e-mx, where m is a parameter involving heat transfer coefficient and fin properties. The heat flow equation is also derived. Two example problems are included to demonstrate calculating heat loss from long fins using the derived equations.
The document discusses heat transfer through various geometries including a plane wall, cylinder, and sphere. It defines key concepts like the Fourier number, lumped system analysis, and time constant. For a body initially at temperature Ti cooling to the surroundings at T∞, the maximum heat transfer is the change in the body's energy content. The fraction of heat transfer for different geometries can be calculated using non-dimensional temperature relations and integrating appropriate terms.
The document discusses Fourier series and two of its applications. It provides an overview of Fourier series, including its definition as an infinite series representation of periodic functions in terms of sine and cosine terms. It also discusses two key applications of Fourier series: (1) modeling forced oscillations, where a Fourier series is used to represent periodic forcing functions; and (2) solving the heat equation, where Fourier series are used to represent temperature distributions over time.
Two basic topics of heat transfer have been covered up by me based on the famous books of :-
1) John H. Lienhard (Professor Emeritus, University of Houston)
2) J.P. Holman (Professor, Southern Methodist University)
3) Prabal Talukdar (Associate Professor, IIT, India)
This document discusses temperature and thermal equilibrium. It begins by explaining that temperature represents the average kinetic energy of atoms in a substance. When two substances are in thermal contact, heat will flow between them until they reach the same temperature and thermal equilibrium. Several temperature scales are then described, including Celsius, Fahrenheit, and Kelvin. The document also covers thermal expansion, explaining that all materials expand slightly when heated through the transfer of kinetic energy between atoms. Examples of applications that rely on thermal expansion, such as bimetallic strips and railway tracks, are provided.
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONSAYESHA JAVED
1) The document discusses modeling and applications of second order differential equations. It provides examples of second order differential equations that model vibrating springs and electric current circuits.
2) Solving second order differential equations involves finding the complementary function and particular integral. The type of roots in the auxiliary equation determines the form of the complementary function.
3) An example solves a second order differential equation modeling a vibrating spring to find the position of a mass attached to the spring at any time.
The Laplace transform is used to solve differential equations by transforming them into algebraic equations that are easier to solve. It was developed in the late 18th century building on prior work by Euler and Lagrange. The transform switches a function of time f(t) to a function of a complex variable F(s). It can be applied to ordinary and partial differential equations to reduce their dimension by one. Real-world applications of the Laplace transform include modeling semiconductor mobility, call completion in wireless networks, vehicle vibrations, and electromagnetic field behavior.
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3 examples of PDE, for Laplace, Diffusion of Heat and Wave function. A brief definition of Fouriers Series. Slides created and compiled using LaTeX, beamer package.
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The document discusses Fourier series and two of their applications. Fourier series can be used to represent periodic functions as an infinite series of sines and cosines. This allows approximating functions that are not smooth using trigonometric polynomials. Two key applications are representing forced oscillations, where a periodic driving force can be modeled as a Fourier series, and solving the heat equation, where the method of separation of variables results in a Fourier series representation of temperature over space and time.
The document describes the heat diffusion equation, which relates the rate of change of energy in a solid to the rate of heat transfer in and out. It presents the one-dimensional, steady-state heat conduction equation and discusses using thermal resistance concepts from electrical circuits to analyze heat transfer through composite walls. The thermal resistance of insulation materials is equal to the thickness divided by the thermal conductivity.
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This document provides steps for designing a website. It begins by explaining the purpose of a website and identifying key considerations like audience and goals. It then lists rules for website design, such as understanding the user perspective and respecting interface conventions. The document outlines the website design process, including planning, following design rules, using website building tools to create pages, and types of pages. It also lists common website development languages and tools. The document concludes by encouraging the use of templates and pre-designed elements to efficiently build a website.
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Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
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2. Presented By:
Joseph Ash
Jordan Baldwin
Justin Hirt
Andrea Lance
school.edhole.com
3. Jean Baptiste Biot
(1774-1862)
French Physicist
Worked on analysis of
heat conduction
Unsuccessful at dealing
with the problem of
incorporating external
convection effects in heat
conduction analysis
school.edhole.com
4. Jean Baptiste Joseph Fourier
(1768 – 1830)
Read Biot’s work
1807 determined how to solve the
problem
Fourier’s Law
Time rate of heat flow (Q) through a slab
is proportional to the gradient of
temperature difference
school.edhole.com
5. Ernst Schmidt
German scientist
Pioneer in Engineering Thermodynamics
Published paper “Graphical Difference
Method for Unsteady Heat Conduction”
First to measure velocity and
temperature field in free convection
boundary layer and large heat transfer
coefficients
Schmidt Number
Analogy between heat and mass
transfer that causes a dimensionless
quantity
school.edhole.com
6. A first approximation of the equations that govern the
conduction of heat in a solid rod.
school.edhole.com
7. A uniform rod is insulated on both lateral ends.
Heat can now only flow in the axial direction.
It is proven that heat per unit time will pass
from the warmer section to the cooler one.
The amount of heat is proportional to the area,
A, and to the temperature difference T2-T1, and
is inversely proportional to the separation
distance, d.
school.edhole.com
8. The final consideration can be expressed as the
following:
is a proportionality factor called the thermal
conductivity and is determined by material properties
school.edhole.com
9. The bar has a length L so x=0 and x=L
Perfectly insulated
Temperature, u, depends only on position, x,
and time, t
Usually valid when the lateral dimensions are small
compared to the total length.
school.edhole.com
10. The differential equation governing the
temperature of the bar is a physical
balance between two rates:
Flux/Flow term
Absorption term
school.edhole.com
11. The instantaneous rate of heat transfer from left to right
across the cross sections x=x0 where x0 is arbitrary can be
defined as:
The negative is needed in order to show a positive
rate from left to right (hot to cold)
school.edhole.com
12. Similarly, the instantaneous rate of heat transfer from
right to left across the cross section x=x0+Δx where Δx
is small can be defined as:
school.edhole.com
13. The amount of heat entering the bar in a time span of
Δt is found by subtracting the previous two equations
and then multiplying the result by Δt:
school.edhole.com
14. The average change in temperature, Δu, can be
written in terms of the heat introduced, Q Δt and the
mass Δm of the element as:
where s = specific heat of the material
ρ = density
school.edhole.com
15. The actual temperature change of the bar is simply
the actual change in temperature at some
intermediate point, so the above equation can also
be written as:
This is the heat absorption equation.
school.edhole.com
16. Equating the QΔt in the flux and absorption terms,
we find the heat absorption equation to be:
school.edhole.com
17. If we divide the above equation by ΔxΔt and allow both
Δx and Δt to both go to 0, we will obtain the heat
conduction or diffusion equation:
where
and has the dimensions of length^2/time and called
the thermal diffusivity
school.edhole.com
18. Certain boundary conditions may apply to the
specific heat conduction problem, for example:
If one end is maintained at some constant
temperature value, then the boundary condition for
that end is u = T.
If one end is perfectly insulated, then the boundary
condition stipulates ux = 0.
school.edhole.com
19. Consider the end where x=0 and the rate of flow of heat
is proportional to the temperature at the end of the bar.
Recall that the rate of flow will be given, from left to right, as
With this said, the rate of heat flow out of the bar from right to
left will be
Therefore, the boundary condition at x=0 is
where h1 is a proportionality constant
if h1=0, then it corresponds to an insulated end
if h1 goes to infinity, then the end is held at 0 temp.
school.edhole.com
20. Similarly, if heat flow occurs at the end x = L, then the
boundary condition is as follows:
where, again, h2 is a nonzero proportionality factor
school.edhole.com
21. Finally, the temperature distribution at one
fixed instant – usually taken at t = 0, takes
the form:
occurring throughout the bar
school.edhole.com
22. Sometimes, the thermal conductivity, density, specific
heat, or area may change as the axial position
changes. The rate of heat transfer under such
conditions at x=x0 is now:
The heat equation then becomes a partial differential
equation in the form:
or
school.edhole.com
23. Other ways for heat to enter or leave a bar must also
be taken into consideration.
Assume G(x,t,u) is a rate per unit per time.
Source
G(x,t,u) is added to the bar
G(x,t,u) is positive, non-zero, linear, and u does not depend on t
G(x,t,u) must be added to the left side of the heat equation
yielding the following differential equation
school.edhole.com
24. Similarly,
Sink
G(x,t,u) is subtracted from the bar
G(x,t,u) is positive, non-zero, linear, and u does not
depend on t
G(x,t,u) then under this sink condition takes the form:
school.edhole.com
25. Putting the source and sink equations
together in the heat equation yields
which is commonly called the generalized
heat conduction equation
school.edhole.com
26. Now consider a bar in which the temperature is a
function of more than just the axial x-direction.
Then the heat conduction equation can then be
written:
2-D:
3-D:
school.edhole.com
27. Let an aluminum rod of length 20 cm be initially at the
uniform temperature 25°C. Suppose that at time t=0,
the end x=0 is cooled to 0°C while the end x=20 is
heated to 60°C, and both are thereafter maintained at
those temperatures.
Find the temperature distribution in
the rod at any time t
school.edhole.com
28. Find the temperature distribution, u(x,t)
a2uxx=ut, 0<x<20, t<0
u(0,t)=0 u(20,t)=60, t<0
u(x,0)=25, 0<x<20
From the initial equation we find that:
L=20, T1=0, T2=60, f(x)=25
We look up the Thermal Diffusivity of aluminum→a2=0.86
school.edhole.com
29. Using Equations 16 and 17 found on page 614, we find
that
where
u x t T T x p p a
T c e n x
( ) ( ) å¥
n t
2 1 1 , sin 2
=
-
ö çè
÷ø
= - + + æ
1
2 2 2
n
L
n L
L
T n x
f x T T x
= é - - - L
n dx
çè
æ
ö ù
( ) ( ) ò ÷ø
úû
êë
L
L
L
c
0 2 1 1 2 sin p
school.edhole.com
30. Evaluating cn, we find that
c x n x dx
= ò é - ( - )
-
ö çè
ù
( ( ) ( ) )
2
é - + =
c n n n n
p p p p
10 7 cos 12sin 5
( )
( ( ) )
n
c n
p
p
p
p
n
n
n
L
n
70cos 50
20
0 sin
20
25 60 0
20
2
0
= +
ù
úû
êë
÷ø
æ
úû
êë
school.edhole.com
31. Now we can solve for u(x,t)
( ) ( ) ( ( ) )
( ) ( ( ) ) ( )
u x t x n
ö çè= - + + æ +
u x t x n
å
å
¥
=
-
¥
=
-
2 2 2
0.86
ö çè
÷ø
p
ö çè
p
0.86
æ ÷ø
= + æ +
ö çè
÷ø
æ ÷ø
1
400
1
20
20
, 3 70cos 50 sin
20
0 70cos 50 sin
20
, 60 0
2
2
n
n t
n
n t
e n x
n
e n x
n
p
p
p
p
p
p
school.edhole.com
33. Derivation of the Wave Equation
Applicable for:
•One space dimension, transverse vibrations on elastic string
•Endpoints at x = 0 and x = L along the x-axis
•Set in motion at t = 0 and then left undisturbed
school.edhole.com
35. Since there is no acceleration in the horizontal direction
T(x + Dx, t) cos(q + Dq ) - T(x, t) cosq = 0
However the vertical components must satisfy
T(x x,t) sin( ) T(x,t)sin xu (x,t) tt +D q + Dq - q = rD
x
where is the coordinate to the center of mass and the
weight is neglected
Replacing T with V the and rearranging the equation becomes
V x + D x t -
V x t
( , ) ( , ) u (x, t)
x
tt = r
D
school.edhole.com
36. Letting , the equation becomes
Dx®0
V (x, t) u (x, t) x tt = r
To express this in terms of only terms of u we note that
V (x,t) H(t) tan H(t)u (x,t) x = q =
The resulting equation in terms of u is
x x tt (Hu ) = ru
and since H(t) is not dependant on x the resulting equation is
xx tt Hu = ru
school.edhole.com
37. For small motions of the string, it is approximated that
H = T cosq » T
using the substitution that
a2 = T / r
the wave equation takes its customary form of
xx tt a2u = u
school.edhole.com
38. The telegraph equation
u cu ku a2u F(x,t) tt t xx + + = +
where c and k are nonnegative constants
cut arises from a viscous damping force
ku arises from an elastic restoring force
F(x,t) arises from an external force
The differences between this telegraph equation and the customary
wave equation are due to the consideration of internal elastic
forces. This equation also governs flow of voltage or current in a
transmission line, where the coefficients are related to the electrical
parameters in the line.
school.edhole.com
39. For a vibrating system with more than on significant space coordinate it
may be necessary to consider the wave equation in more than one
dimension.
For two dimensions the wave equation becomes
xx yy tt a2 (u + u ) = u
For three dimensions the wave equation becomes
xx yy zz tt a2 (u + u + u ) = u
school.edhole.com
40. Consider an elastic string of length L whose ends are
held fixed. The string is set in motion from its
equilibrium position with an initial velocity g(x). Let
L=10 and a=1. Find the string displacement for any
time t.
( )
ì
ï ï
x
4 ,
1,
í
( L -
x
ï ) ï
î
=
4 ,
L
L
g x
x L
£ £
L < x <
3
L
L £ x £
L
3
4
4
4
4
0
school.edhole.com
41. From equations 35 and 36 on page 631, we find that
u x t k npx p
where ( ) å¥ =
n at
ö çè
÷ø
ö çè
æ ÷ø
= æ
, sin sin
1
n
n L
L
g x n x
p 2 sin p
= æ L
n dx
ö çè
ò ÷ø
( ) L
L
n a
k
L
0
school.edhole.com
42. Solving for kn, we find:
( )
é
3
n x
dx L x
dx n x
n x
x
n a
p p p p
2 4 sin sin 4 sin
= ò æ ò ò
( )
( )
æ + ÷ø
ö çè
ö
æ
ö çè
æ
æ ÷ø
ö çè
n
k L
ö çè= æ
( ) ÷ ÷ø
ç çè
÷ø
æ + ÷ø
ö
÷ ÷ø
ç çè
- ÷ø
æ + ÷ø
= æ
ù
úû
êë
ö çè
÷ø
æ - + ÷ø
ö çè
ö çè
ö çè
4
sin
4
8 sin 3
sin
4
sin
4
2 4 sin 3
3
2
4
0
4
3
4 4
p p
p
p p p
p p
n n
a n
n n n
n
L
n a
k
dx
L
L
L
L
L
L
k
L
n
L L
L
L
n L
school.edhole.com
43. Now we can solve for u(x,t)
u x t L
( )
( )
¥
æ
( )
å
( ) å
å
3 3
=
1
n
¥
3 3
=
¥
=
n at
ö çè
n at
ö çè
ö çè
÷ø
n n n x
ö çè
n n n x
ö çè
ö çè
æ ÷ø
æ
ö
ö
ö
÷ ÷ø
æ
æ
ç çè
ö çè
ö
ö
÷ ÷ø
æ
ç çè
ö çè
ö çè
÷ø
ö çè
ö çè
ö çè
æ + ÷ø
æ
= æ
÷ø
æ ÷ø
æ
÷ ÷ø
ç çè
÷ ÷ø
ç çèæ
÷ø
æ + ÷ø
= æ
÷ø
æ ÷ø
æ
ö
÷ ÷ø
ç çè
÷ ÷ø
ç çè
÷ø
æ + ÷ø
= æ
1
1
3
10
sin
10
sin
4
sin
4
, 80 1 sin 3
sin sin
4
sin
4
, 8 1 sin 3
sin sin
4
sin
4
, 8 sin 3
n
n
n n n x n t
n
u x t
L
L
n
u x t L
L
L
a n
p p p p
p
p p p p
p
p p p p
p
school.edhole.com