Dimensional Analysis and Self-Similarity Methods for Engineers and Scientists

Dimensional analysis is routinely used to check the plausibility of derived equations and computations and to form reasonable hypotheses about complex physical situations. Providing a concise and accessible overview of key concepts in dimensional analysis, this book uses engineering and science cases and examples to show the practical use of dimensional analysis and self-similarity methods in solving complex problems. The text presents all of the mathematical steps along with the main equations. The appendix includes two detailed case studies. In addition, the author integrates numerous part figures as well as photos with the examples and cases.