Anders E. W. Jarfors

This book is a concise hands-on guide that provides students a useful tool for a systematic approach to scientific inquiry. Science Theory for Engineers and Physicists provides a basic understanding of "the method" as a question and to understand how a reliable answer that can be validated is constructed. It covers the basic terminology and methods which are exemplified for ease of understanding for the reader. Testing of hypotheses and quantitative understanding of uncertainty and uncertainty propagation are also illustrated. The book is intended to be used with experimental work as a final or thesis project for undergraduate or graduate students who have not had prior experience in science theory or data handling and uncertainty.

The book looks into the recent advances in the ex-situ production routes and properties of aluminum and magnesium based metal matrix nanocomposites (MMNCs), produced either by liquid or semi-solid state methods. It comprehensively summarizes work done in the last 10 years including the mechanical properties of different matrix/nanoreinforcement systems. The book also addresses future research direction, steps taken and missing developments to achieve the full industrial exploitation of such composites. The content of the book appeals to researchers and industrial practitioners in the area of materials development for metal matrix nanocomposites and its applications.

This book is a concise hands-on guide that provides students a useful tool for a systematic approach to scientific inquiry. Science Theory for Engineers and Physicists provides a basic understanding of "the method" as a question and to understand how a reliable answer that can be validated is constructed. It covers the basic terminology and methods which are exemplified for ease of understanding for the reader. Testing of hypotheses and quantitative understanding of uncertainty and uncertainty propagation are also illustrated. The book is intended to be used with experimental work as a final or thesis project for undergraduate or graduate students who have not had prior experience in science theory or data handling and uncertainty.