**Preface to "Modeling, Optimization and Design Method of Metal Manufacturing Processes"**

Metal manufacturing process is an essential topic in the field of manufacturing, and is also key for the fabrication of precise components. Nowadays, complicated and high-performance metal products need smarter, more efficient, and more accurate manufacturing processes, which would require systematic improvements to the existing metal manufacturing techniques. Therefore, the optimization and improvement of metal manufacturing process is now key to preparing high-performance metal products and improving product performance.

This book presents studies of the manufacturing of difficult-to-deform metals, through the modeling, optimization, and design of the manufacturing processes, and provides an introduction to cutting-edge technology for improvements, including: (1) machine learning algorithms in manufacturing metal products; (2) the fabrication and mechanical property optimization of metals; and (3) numerical simulations and experiments in the machining of metals. The purpose of this book is to present a variety of feasible fabrication methods and advanced manufacturing techniques for precision metal products.

This book focuses on the modeling, optimization, and design methods of metal manufacturing processes, including the applications of artificial intelligence (AI) technology, the optimization of mechanical properties of metals, and numerical simulations in the machining of metals; as such, graduate students, engineering technicians, and researchers in related areas will benefit from the findings shown in this book, as would readers with interests in related application fields such as equipment manufacturing, advanced manufacturing, artificial intelligence, optics, etc.

We thank all the contributors and the Editors (Mr. Scott Pan and Ms. Sue Sun) for their enthusiastic support of the book, as well as the editorial staff of the journal *Processes* for their efforts.

> **Guoqing Zhang, Zejia Zhao, and Wai Sze YIP** *Editors*
