Nanofluids: Advanced Applications and Numerical Simulations combines the mathematical and numerical studies of nanofluids and their application to a range of applications. The book begins by introducing the principles of nanofluids, structures, types, properties, methods and stability. This is followed by a detailed chapter that explains a full range of numerical techniques for the modeling of nanofluids. Subsequent chapters offer in-depth coverage of target areas, including cooling and heating applications, micro-electric and magnetic devices, chemistry and oil recovery, biomedicine, renewable energy, and automotive engineering. Throughout the book, methods for numerical modelling are described in detail, with supporting equations, techniques, and applied examples. This is a valuable resource for advanced students, scientists, engineers, and R&D professionals working with nanofluids, simulation, and numerical methods for advanced applications, as well as researchers across nanotechnology, biomedicine, electronics, energy, chemistry, materials science and mechanical engineering.

Weighted Residual Methods: Principles, Modifications and Applications introduces a range of WRMs, providing examples that show how they can be used to solve complex engineering problems with greater accuracy and computational efficiency. Examples focus on non-linear problems, including the motion of a spherical particle, nanofluid flow and heat transfer, magnetohydrodynamic flow and heat transfer, and micropolar fluid flow and heat transfer. These are important factors in understanding processes, such as filtration, combustion, air and water pollution and micro contamination. In addition to the applications, the reader is provided with full derivations of equations and summaries of important field research.

Differential Transformation Method for Mechanical Engineering Problems focuses on applying DTM to a range of mechanical engineering applications. The authors modify traditional DTM to produce two additional methods, multi-step differential transformation method (Ms-DTM) and the hybrid differential transformation method and finite difference method (Hybrid DTM-FDM). It is then demonstrated how these can be a suitable series solution for engineering and physical problems, such as the motion of a spherical particle, nanofluid flow and heat transfer, and micropolar fluid flow and heat transfer.

Nanofluids: Mathematical, Numerical and Experimental Analysis provides a combined treatment of the numerical and experimental aspects of this crucial topic. Mathematical methods such as the weighted residual method and perturbation techniques, as well as numerical methods such as Finite Element and Lattice-Boltzmann are addressed, along with experimental methods in nanofluid analysis. The effects of magnetic field, electric field and solar radiation on the optical properties and synthesis of nanofluid flow are examined and discussed as well. This book also functions as a comprehensive review of recent progress in nanofluids analysis and its application in different engineering sciences. This book is ideal for all readers in industry or academia, along with anyone interested in nanofluids for theoretical or experimental design reasons.