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1A Calculation of the number of accessible states to an ideal gas
We consider an ideal gas enclosed in a container of volume ð at a temperature ð. The gas consists of ð number of molecules, each of mass ð. Suppose the total energy of the system lies in a narrow range from (ð¸ â ðð¸) to ð¸. Any molecule of the ideal gas lying within this energy range is described by a state having an elementary volume
where ðâ²ð and ðâ²ð are, respectively, the position and momentum coordinates of the molecules of the gaseous system.
Classical mechanics is mainly based on Newton's laws of motion and gravitation. Initially, it was thought that Newton's second law of motion was valid and applicable at all speeds. But new experimental evidence showed that Newton's second law of motion is valid and applicable at low speeds and invalid when the object is moving at high speeds comparable to the velocity of light. This failure of classical mechanics led to the development of the special theory of relativity by young physicist Albert Einstein in 1905, which showed everything in the universe is relative and nothing is absolute. Relativity connects space and time, matter and energy, electricity and magnetism, which are useful and remarkable to our understanding of the physical universe.
The special theory of relativity is applicable to all branches of modern physics, high-energy physics, optics, quantum mechanics, semiconductor devices, atomic theory, nanotechnology, and many other branches of science and technology.
The theory of relativity has two parts: the special theory of relativity and the general theory of relativity. The special theory of relativity deals with the inertial frame of references, while the general theory of relativity deals with the accelerated frame of references. Some common technical terms that are frequently used in relativistic mechanics are as follows:
1. Particle:A particle is a tiny bit of matter with almost no linear dimensions and is considered to be located at a single place. Its mass and charge define it. Examples include the electron, proton, and photon, among others.
Just like a computer, we must remember things in the order in which entropy increases. This makes the second law of thermodynamics almost trivial. Disorder increases with time because we measure time in the direction in which disorder increases. You can't have a safer bet than that!
Stephen Hawking
Learning Outcomes
After reading this chapter, the reader will be able to
Understand various thermodynamic potentials such as internal energy, enthalpy, Helmholtz free energy, and Gibbs free energy and their applications
Calculate the magnetic work done by a paramagnetic system and understand the process of creating low temperatures using the principle of adiabatic demagnetization
Apprehend the idea of first and second-order phase transitions and Clausius–Clapeyron and Ehrenfest equations related to the phase transitions, respectively
Derive Maxwell's thermodynamic relations
Apply Maxwell's thermodynamic relations to derive energy equations, ð –ðð equations, and other thermodynamic relations connecting ð¶ð and ð¶ð
Derive Joule–Kelvin coefficient for ideal and real gases like Van der Waals gas
Describe Joule's experiment in case of adiabatic expansion of ideal and real Gases
Understand the Joule–Thomson effect for real and Van der Waals gases through porous plug experiment and the temperature of inversion
Solve numerical problems and multiple choice questions on thermodynamic potentials, Maxwell's thermodynamic relations, and Joule–Kelvin coefficient
10.1 Introduction
The term thermodynamic potentials refers to a specific measure of the capacity of a thermodynamic system to perform work. It is a key concept in thermodynamics and encompasses four variables: internal energy ð , Helmholtz free energy ð¹ , enthalpy ð», and Gibbs free energy ðº. The choice of the suitable thermodynamic potential depends upon the specific conditions of the system—whether any isolated, closed, or open systems. This means each of these four potentials has its unique usage scenario and interpretation. These potentials are paramount in describing the energy changes within systems. These potentials are extensive state variables of dimensions of energy and are introduced to account for specific constraints such as isothermal, adiabatic, isochoric, and isobaric processes in a thermodynamic system. Their purpose is to allow for simple treatment of equilibrium for systems interacting with the environment. Starting from the first and second laws of thermodynamics, the differential form of four thermodynamic potentials are derived, and these are called fundamental equations.
We suppose ⦠that the constituent molecules of any simple gas whatever (i.e., the molecules which are at such a distance from each other that they cannot exercise their mutual action) are not formed of a solitary elementary molecule, but are made up of a certain number of these molecules united by attraction to form a single one.
Count of Quaregna Amedeo Avogadro
Learning Outcomes
After reading this chapter, the reader will be able to:
List the differences between ideal and real gas
List the experiments that depicted the behavior of real gases over a large range of pressures and temperatures
Demonstrate the meaning of liquid–gas interface, critical volume, critical pressure, and critical temperature
Derive the equation of state of a real gas considering the effect of pressure and volume
Obtain the reduced equation of state, the law of corresponding state, and the compressibility factor
Compare and contrast the Van der Waals equation of state with experimental results on CO2 due to Andrews
Solve numerical problems and multiple choice questions on the Van der Waals equation of state, reduced equation state, and critical constants of a gas
5.1 Introduction
The foundation of kinetic theory of gases (KTG) is based on two important assumptions: (i) the volume occupied by the molecules of the gas is negligible compared to the total volume of the container, and (ii) no appreciable intermolecular attractive or repulsive forces are present among the molecules. A gas is said to be an ideal one when it conforms exactly to these tenets of the KTG. According to the KTG, such an ideal gas of ð mole obeys the equation of state: ð ð = ðð ð. It is the task of the experimental physicists to test the validity of this equation of state over the whole range of physical parameters such as pressure and temperature. There are a large number of direct and indirect experimental pieces of evidences which clearly indicate that in reality, gases do not behave ideally, that is, the equation ð ð = ðð ð is not satisfied by the real gases over the entire range of the above-mentioned physical parameters. Real gases deviate from ideal behavior, especially at high pressures and low temperatures.
Thermodynamics is a funny subject. The first time you go through it, you don't understand it at all. The second time you go through it, you think you understand it, except for one or two small points. The third time you go through it, you know you don't understand it, but by that time you are so used to it, it doesn't bother you anymore.
Arnold Soummerfield
1.1 Introduction
“Thermodynamics” is the branch of science that deals with the macroscopic properties of matter. In this branch of physics, concepts about heat and work and their inter-conversion, energy and energy conversion, and working principle of heat engines with their efficiency are mainly discussed. The name “thermodynamics” was originated from two Greek words: “therme” means “heat” and “dynamics” means “power” or “energy”. Thus, matter related to heat and energy is primarily paid attention in this subject. Further, it is believed that the term “thermodynamics” arises from the fact that the macroscopic thermodynamic variables used to describe a thermodynamic system depend on the temperature of the system.
Thermodynamics is the branch of physics in which the system under investigation consists of a large number of atoms and molecules contributing to the macroscopic matter of the system. The average physical properties of such a thermodynamic system are determined by applying suitable conservation equations such as conservation of mass, conservation of energy, and the laws of thermodynamics in equilibrium. The equilibrium state of a macroscopic system is achieved when the average physical properties of the system do not change with time and the system is not driven by any external driving force during the course of investigation. The interrelationships among the various physical properties are established with the help of associated thermodynamic relations derived from the laws of thermodynamics. These average (macroscopic) properties of thermodynamic systems are determined from the macroscopic parameters such as volume ð , pressure ð , and temperature ð , which do not depend on the detailed positions and ocities of the atoms and molecules of the macroscopic matter in the system. These macroscopic quantities are called thermodynamic coordinates, variables or parameters. Further, these macroscopic properties depend on each other. Therefore, from the measurements of a subset of these properties, the rest of them can be calculated using the associated thermodynamic relations.
At a high enough temperature and/or density, the atoms in a gas suffer collisions due to their high thermal energy, and some of the atoms get ionized, making an ionized gas. In this process, a number of electrons that are normally bound to the atom in orbits around the atomic nucleus become free and thus form an independent electron gas cloud coexisting with the surrounding gas of atomic ions and neutral atoms. These ionized atoms and electrons generate an electric field that causes motion of the charges, and a current is generated in the gaseous medium. This current produces a localized magnetic field. The state of matter thus created is called plasma. In thermal equilibrium, the ionization state of such a gaseous system is related to the ionization potential, temperature, and pressure of the system. Thus, the Saha ionization equation. expresses how the state of ionization of any particular element in a star changes with varying temperatures and pressures. This equation takes into account the combined ideas of quantum mechanics and statistical mechanics for its derivation and is used to explain the spectral classification of stars. This equation was developed by the Indian astrophysicist Prof. Meghnad Saha in 1920. 5A.1 Derivation of Saha ionization equation According to Prof. M. N. Saha, the temperatures in the interior of stars are extremely high, and the elements present there are mostly in the atomic state. Saha argued that under the prevailing conditions inside the stars, atoms move very rapidly and undergo frequent collisions. In the process of such collisions, valence electrons are stripped off from their orbits. This is referred to as thermal ionization and is accompanied by electron recapture to form neutral atoms. The degree of such thermal ionization depends on the temperature of the star. Using the Saha ionization equation, a general relation between the degree of thermal ionization and the temperature can be obtained from the statistical description of plasma in thermodynamic equilibrium.
For an infinitesimal reversible process, a combination of first and second laws of thermodynamics results
where ð ðð denotes the generalized expression for work done by the system, ðð is the change in entropy, and ðð is the change in internal energy of the system. Equation (16) leads to the definition of temperature ð as
Thus, equation (17) indicates that the temperature at any point depends on the slope of the ð â ð curve. If the slope of this curve (point ð´ in Figure 3A.1) is positive, the temperature will be positive. On the other hand, the temperature will be negative for the negative slope of the curve (point ð¶ in Figure 3A.1).
The book Heat and Thermodynamics: Theory, Problems, and Solutions is an informal, readable introduction to the basic ideas of thermal physics. It is aimed at making the reader comfortable with this text as a first course in Heat and Thermodynamics. The basic principles and phenomenological aspects required for the development of the subject are discussed at length. In particular, the extremum principles of entropy and free energies are presented elaborately to make the content of the book comprehensive. The book provides a succinct presentation of the material so that the student can more easily determine the major objective of each section of a particular chapter. In fact, thermal physics is not the subject in physics that starts with its epigrammatic equations—Newton’s, Maxwell’s, or Schrodinger’s, which provide accessibility and direction. Instead, it (thermodynamics) can be regarded as a subject formed by the set of rules and constraints governing interconversion and dissipation of energy in macroscopic systems. Further, the syllabus of statistical mechanics for graduate students has changed significantly with the introduction of National Education Policy 2020.
Thermal physics has established the principles and procedures needed to understand and explain the properties of systems consisting of macroscopically large numbers of particles, typically of the order of 1023 or so. Examples of such collections of systems include the molecules in a closed vessel, the air in a balloon, the water in a lake, the electrons in a piece of metal, and the photons (electromagnetic wave packets) emitted by the Sun. By developing the macroscopic classical thermodynamic descriptions, the book Heat and Thermodynamics: Theory, Problems, and Solutions provides insights into basic concepts and relationships at an advanced undergraduate level. This book is updated throughout, providing a highly detailed, profoundly thorough, and comprehensive introduction to the subject. The laws of probability are used to predict the bulk properties like stiffness, heat capacity, and the physics of phase transition, and magnetization of such systems.
This textbook provides a thorough coverage of classical mechanics. Meant for undergraduate and graduate physics students, it contains discussions on topics beneficial for researchers also. Along with standard graduate-level topics, it highlights and demonstrates the applications of classical mechanics in various areas of physics, astronomy, and astrophysics, thus emphasizing the subject's relevance to current research. Detailed explanations are provided throughout to support self-study and ensure clear understanding of concepts. The text begins with preliminary topics and then proceeds to Lagrange's equation of motion, Hamilton's principle of stationary action, and conservation principles in classical mechanics. It then extends to topics like Hamiltonian formulation of laws of mechanics, two-body central force problem, and restricted three-body problem, among others. Lagrange and Poisson brackets are discussed in exclusive chapters. The book concludes with expositions on Hamilton–Jacobi formulation of dynamics, perturbation theory in Hamiltonian mechanics, dynamics of rigid bodies, and nonlinear dynamics and chaos.
From genome sequencing to large sky surveys, digital technologies produce massive datasets that promise unprecedented scientific insights. But data, for being good to use and reuse, need people – scientists, technicians, and administrators – as embodied, evaluative, social humans. In this book, anthropologist Götz Hoeppe draws on an ethnography of astronomical research to examine the media and practices that scientists and technicians use to instruct graduate students, make diagrams for data calibration and discovery, organize collaborative work, negotiate the ethics of open access, encode their knowledge in datasets – and undertake social inquiries along the way. This book offers a reflection on the sociality of data-rich research that will benefit attempts to integrate human and machine learning. It will be of interest for students and scholars in data science and science and technology studies, as well as in anthropology, sociology, history, and the philosophy of science. This book is also available Open Access on Cambridge Core.
Fully revised and updated, the new edition of Engineering Dynamics provides a comprehensive, self-contained and accessible treatment of classical dynamics. All chapters have been reworked to enhance student understanding, and new features include a stronger emphasis on computational methods, including rich examples using both Matlab and Python; new capstone computational examples extend student understanding, including modelling the flight of a rocket and the unsteady rolling of a disk. The coverage of Lagrange's equations is improved, spanning simple systems and systems relevant to engineers. It provides students with clear, systematic methods for solving problems in dynamics, demonstrates how to solve equations of motion numerically, and explains all mathematical operators. Including over 150 real-world examples to motivate student learning, over 400 homework problems, and accompanied online by Matlab and Python repositories and supplemental material, the new edition of this classic is ideal for senior undergraduate and graduate students in engineering.
The study of magnetism has driven progress in experimental science for centuries, and demonstrates how ground-breaking theoretical advances can be translated directly into essential, transformative technology. Now in an expanded second edition, this popular textbook provides comprehensive coverage of the theory and practical applications of magnetism and magnetic materials. The text has been updated throughout to address significant developments from the last decade, including new theoretical insights, advanced experimental probes, and thin film technology. A new chapter covers the important topic of transverse magnetotransport and effects of topology. The book is extensively illustrated with over 700 figures conveying important experimental data, concepts and applications, and each self-contained chapter concludes with a summary section, a list of further reading and a set of exercises. The text contains a wealth of useful information that will be of interest to graduate students and researchers in physics, materials science and engineering.
An impressively comprehensive textbook adopting a phenomenological approach to quantum physics. The chapters cover everything from basic definitions of key concepts to detailed discussions of the underlying theoretical framework, walking students step-by-step through the necessary mathematics and drawing clear connections between the theory and the most important modern research applications including quantum optics, fluids, nanophysics, entanglement, information, and relativity. With this book, students and researchers will have access to hundreds of real-world examples, exercises, and illustrations to support and expand their understanding. Instructors can tailor the content to suit the length and level of their course and will have access to an online solutions manual with fully worked solutions to all 300+ exercises in the book. Other online resources include Python simulations, additional exercises, and detailed appendices.
The optical theory of light scattering by nonspherical particles is fundamental to remote sensing of the atmosphere and ocean, as well as to other areas of computational physics, astrophysics, the biomedical sciences, and electromagnetics. At present, many training programs in light scattering are woefully lacking. This book fills the void in existing research on light scattering and training, particularly in the case of large scattering particles, and provides a solid foundation on which future research can be based, including suggestions for further directions in the field. With the elucidation of the theoretical basis for light scattering (particularly within the framework of the physical-geometric optics method) and the demonstration of practical applications, this book will be invaluable for training future scientists in the discipline of light scattering, as well as for researchers and professionals using remote-sensing techniques to analyze the properties of the atmosphere and oceans, and in the area of biophotonics.
We perform causal analysis on the low-dimensional Galerkin model for shear flow developed by Moehlis et al. (New J. Phys., vol. 6, 2004, 56). Our method integrates both equation-based analysis and the proposed Galerkin-based Granger causality (GGC) to investigate the effect of the nonlinear terms on the dynamics. Two types of quadratic interactions are identified: a fully triadic interaction and a modulated two-mode coupling. The propagation of these interactions through the nonlinear dynamics leads to a directed cause-and-effect network. Furthermore, the relative importance of each mode amplitude on the dynamics of the target mode is quantified. This analysis provides a deeper understanding of the nonlinear dynamics and distills control opportunities. To demonstrate the applicability of the proposed GGC to realistic flows where Galerkin projection is impractical, a turbulent lid-driven cavity flow is further studied. We foresee applications of the proposed causal analysis framework as valuable tools for Galerkin modelling – guiding investigations of modal causality, prediction uncertainty, model-order reduction and control design.
We present a detailed characterisation of radio frequency interference (RFI) in the 2.4 GHz band around Murriyang, CSIRO’s Parkes radio telescope. The dominant sources of interference are Wi-Fi and Bluetooth transmissions. We quantify how the intensity and directionality of this RFI vary with time of day and document its evolution over several years. Although most observers currently discard data within this band, our analysis shows that the interference is confined in both time and frequency and can be effectively mitigated. Using 10 seconds of 16-bit voltage data recorded during observations of the Vela Pulsar (PSR J0835—4510), we demonstrate that the majority of the channelised data remain unaffected by RFI. We compare three RFI detection and mitigation algorithms and evaluate their relative performance. All methods perform effectively, and any could be implemented in real time to enable productive use of this observing band. A real time implementation would allow the scientific use of this 128MHz observing band to increase, from almost 70% of the band being completely unusable all of the time, to over 90% of becoming accessible for science. Given its simplicity and efficiency, a basic power-threshold approach offers a relatively straightforward solution.
Boiling and bubble injection are effective strategies for enhancing heat transfer between solid boundaries and a working fluid in numerous industrial applications, including nuclear reactors and molten metal processing. Motivated by this, we conduct direct numerical simulations of a vertical, turbulent, differentially heated, bubble-laden channel flow. The Prandtl number $\textit{Pr}$, kept identical in both phases, is varied across three representative values – $0.07$ (liquid metals), $0.7$ (vapour) and $7$ (water) – to span thermal transport regimes across three orders of magnitude. The simulations are conducted at a friction Reynolds number $\textit{Re}_\tau =150$, void fraction $\alpha =5.4\,\%$ and a density ratio $\rho _r=0.1$ (defined as the bubble-to-carrier density). The bubbles substantially alter the hydrodynamic structure of the flow, amplifying turbulent fluctuations and mixing. Their interaction with the thermal boundary layers disrupts the characteristic streaky structures near the heated walls, fragmenting them into smaller and more chaotic patterns. To elucidate this mechanism, we examine the bubble-induced modifications to the temperature field and show that temperature becomes decorrelated from velocity. Consequently, the heat-transfer enhancement arises primarily from an increase in convective heat flux driven by intensified wall-normal velocity fluctuations. The thermal boundary layer is markedly thinned, and the Nusselt number nearly doubles across all examined cases.