With its uncommon presentation of instructional material regarding mathematical modeling, measurements, and solution of inverse problems, Thermal Measurements and Inverse Techniques is a one-stop reference for those dealing with various aspects of heat transfer.

Progress in mathematical modeling of complex industrial and environmental systems has enabled numerical simulations of most physical phenomena. In addition, recent advances in thermal instrumentation and heat transfer modeling have improved experimental procedures and indirect measurements for heat transfer research of both natural phenomena and manmade applications. These new resources and methods help theoretical, computational, and experimental researchers synergistically interact to better understand the physical phenomena being studied. This book explores how inverse analysis can be used to increase understanding of interactions between technological systems and nature, by bridging the gap between data derived from measurements and information from theoretical predictions.

Assembled in three parts?Modeling and Measurements in Heat Transfer, Inverse Heat Transfer Problems, and Applications?this self-contained resource:

• Explores theoretical background and examples
• Outlines practical applications, including sample test cases
• Presents inverse techniques to estimate spatially and time-varying functions (such as heat sources, fluxes, and thermophysical properties), as well as constant parameters in heat transfer problems

Written by international experts, this book assumes basic heat transfer knowledge, presenting a balanced approach suitable for advanced undergraduates and graduate students, as well as practicing engineers and academic and industrial researchers. With coverage of modeling at the micro- and nanoscales, this book covers classic and novel approaches to help readers understand and solve heat transfer problems of all kinds.

This book introduces the fundamental concepts of inverse heat transfer solutions and their applications for solving problems in convective, conductive, radiative, and multi-physics problems. Inverse Heat Transfer: Fundamentals and Applications, Second Edition includes techniques within the Bayesian framework of statistics for the solution of inverse problems. By modernizing the classic work of the late Professor M. Necati OEzisik and adding new examples and problems, this new edition provides a powerful tool for instructors, researchers, and graduate students studying thermal-fluid systems and heat transfer. FEATURES Introduces the fundamental concepts of inverse heat transfer Presents in systematic fashion the basic steps of powerful inverse solution techniques Develops inverse techniques of parameter estimation, function estimation, and state estimation Applies these inverse techniques to the solution of practical inverse heat transfer problems Shows inverse techniques for conduction, convection, radiation, and multi-physics phenomena M. Necati OEzisik (1923-2008) retired in 1998 as Professor Emeritus of North Carolina State University's Mechanical and Aerospace Engineering Department. Helcio R. B. Orlande is a Professor of Mechanical Engineering at the Federal University of Rio de Janeiro (UFRJ), where he was the Department Head from 2006 to 2007.

With its uncommon presentation of instructional material regarding mathematical modeling, measurements, and solution of inverse problems, Thermal Measurements and Inverse Techniques is a one-stop reference for those dealing with various aspects of heat transfer. Progress in mathematical modeling of complex industrial and environmental systems has enabled numerical simulations of most physical phenomena. In addition, recent advances in thermal instrumentation and heat transfer modeling have improved experimental procedures and indirect measurements for heat transfer research of both natural phenomena and manmade applications. These new resources and methods help theoretical, computational, and experimental researchers synergistically interact to better understand the physical phenomena being studied. This book explores how inverse analysis can be used to increase understanding of interactions between technological systems and nature, by bridging the gap between data derived from measurements and information from theoretical predictions. Assembled in three parts-Modeling and Measurements in Heat Transfer, Inverse Heat Transfer Problems, and Applications-this self-contained resource: Explores theoretical background and examples Outlines practical applications, including sample test cases Presents inverse techniques to estimate spatially and time-varying functions (such as heat sources, fluxes, and thermophysical properties), as well as constant parameters in heat transfer problems Written by international experts, this book assumes basic heat transfer knowledge, presenting a balanced approach suitable for advanced undergraduates and graduate students, as well as practicing engineers and academic and industrial researchers. With coverage of modeling at the micro- and nanoscales, this book covers classic and novel approaches to help readers understand and solve heat transfer problems of all kinds.

Finite Difference Methods in Heat Transfer, Second Edition focuses on finite difference methods and their application to the solution of heat transfer problems. Such methods are based on the discretization of governing equations, initial and boundary conditions, which then replace a continuous partial differential problem by a system of algebraic equations. Finite difference methods are a versatile tool for scientists and for engineers. This updated book serves university students taking graduate-level coursework in heat transfer, as well as being an important reference for researchers and engineering. Features Provides a self-contained approach in finite difference methods for students and professionals Covers the use of finite difference methods in convective, conductive, and radiative heat transfer Presents numerical solution techniques to elliptic, parabolic, and hyperbolic problems Includes hybrid analytical-numerical approaches