Statistical design of experiments is useful in virtually every quantitative field. Two-level factorial designs, which are the focus of this book, provide the most efficient plans for exploring the effects of many factors at once. Engineers, physical scientists, and all who conduct experiments will find this book indispensible. The analysis of 50 published experiments from diverse fields gives the book broad appeal.

The book is important because it reflects a trend, especially in microelectronics manufacture toward recyclability. Europe and Asia are moving towards legislation to ban the use of lead in solders and public demand in the US will likely have the same result. Producers of solders and manufacturers who use them will have to invent and employ suitable substitutes and A Guide to Lead-free Solders will show them how to do so.

Reliability Testing is expensive and engineers and managers require new techniques and equipment to rapidly determine the reasons of product degradation and failure as well as to design products that do not fail.

Acoustic emission (AE) techniques have been studied in civil engineering for more than two decades. With more and more aging structures and structures damaged due to earthquakes and other disasters, there is a great need for the advanced and effective inspection techniques that AE testing can offer. This book covers all levels of AE testing, from a description of AE basics to step-by-step instructions for sophisticated AE algorithms and applications. It is the first edited book that deals with this very important technique used to monitor structural health.

This book presents the concepts and algorithms of advanced industrial process control and on-line optimization within the framework of a multilayer structure. It describes the interaction of three separate layers of process control: direct control, set-point control, and economic optimization. The book features illustrations of the methodologies and algorithms by worked examples and by results of simulations based on industrial process models.