Presents eleven projects demonstrating how to build simple, fun, and educational Stirling engines from available kits.

Do you know how to make a working engine from soda cans? You do now! The Quick and Easy Stirling Engine book will show you every detail you need to know. There are no difficult secrets and no expensive parts to buy. With two soda cans and a few other materials you can build a running engine in just a few hours.The engine featured in this book was designed for use in educational settings. Consulting with several educators, this engine was designed so that it could be assembled with simple hand tools by most builders in about three hours. The parts list is simple and affordable. Simple hand tools are all that is required for assembling this engine.Once assembled, the engine will spin a flywheel when the bottom is heated and ice is placed on top. This is a hot air engine design, sometimes referred to as a Stirling Engine. The engine makes motion by exercising a temperature differential. The bottom half of the engine must be warmed to about 250 degrees F, and the top of the engine must be cooled with cold water or ice. When these conditions are present, the engine will spin between 100 and 200 rpm.The primary components of this engine are soda cans, copper wire, and an old CD. The adhesive that is used for construction is readily available at hardware stores. This engine is a fun project for students, home builders, hobbyists, and anyone who wants to learn how to make their own hot air engine from soda cans.

For Stirling engines to enjoy widespread application and acceptance, not only must the fundamental operation of such engines be widely understood, but the requisite analytic tools for the stimulation, design, evaluation and optimization of Stirling engine hardware must be readily available. The purpose of this design manual is to provide an introduction to Stirling cycle heat engines, to organize and identify the available Stirling engine literature, and to identify, organize, evaluate and, in so far as possible, compare non-proprietary Stirling engine design methodologies. This report was originally prepared for the National Aeronautics and Space Administration and the U. S. Department of Energy.

My history with stirling engines. -- A brief history of stirling engines. -- The stirling engine explained. -- What makes a good striling engine? -- Working with aluminum. -- Working with acrylic. -- Thermoforming vinyl. -- Tools needed for these projects. -- Engine #1 - the reciprocating stirling engine. -- Engine #2 - horizontal flywheel magnetic drive stirling engine. -- Engine #3 - vertical flywheel magnetic drive stirling engine. -- Appendices.

#1 NEW YORK TIMES BEST SELLER • At last, a book that shows you how to build—design—a life you can thrive in, at any age or stage • “Life has questions. They have answers.” —The New York Times Designers create worlds and solve problems using design thinking. Look around your office or home—at the tablet or smartphone you may be holding or the chair you are sitting in. Everything in our lives was designed by someone. And every design starts with a problem that a designer or team of designers seeks to solve. In this book, Bill Burnett and Dave Evans show us how design thinking can help us create a life that is both meaningful and fulfilling, regardless of who or where we are, what we do or have done for a living, or how young or old we are. The same design thinking responsible for amazing technology, products, and spaces can be used to design and build your career and your life, a life of fulfillment and joy, constantly creative and productive, one that always holds the possibility of surprise.

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

In this book long-time model maker Stan Bray describes the construction of a range of uncomplicated miniature steam engines, for construction by the model engineer.