What is fibre laser machine?

How does the CNC Fiber laser cutting machine work? - Factories

In recent years Fibre optic laser cutting machines have become the driving force behind the global production of sheet metal parts.

Books on the subject of What is fibre laser machine

Handbook of Laser Technology and Applications

CRC Press. 2021

This comprehensive handbook gives a fully updated guide to lasers and laser technologies, including the complete range of their technical applications. This third volume covers modern applications in engineering and technology, including all new and updated case studies spanning telecommunications and data storage to medicine, optical measurement, defense and security, nanomaterials processing and characterization. Key Features: • Offers a complete update of the original, bestselling work, including many brand-new chapters. • Deepens the introduction to fundamentals, from laser design and fabrication to host matrices for solid-state lasers, energy level diagrams, hosting materials, dopant energy levels, and lasers based on nonlinear effects. • Covers new laser types, including quantum cascade lasers, silicon-based lasers, titanium sapphire lasers, terahertz lasers, bismuth-doped fiber lasers, and diode-pumped alkali lasers. • Discusses the latest applications, e.g., lasers in microscopy, high-speed imaging, attosecond metrology, 3D printing, optical atomic clocks, time-resolved spectroscopy, polarization and profile measurements, pulse measurements, and laser-induced fluorescence detection. • Adds new sections on laser materials processing, laser spectroscopy, lasers in imaging, lasers in environmental sciences, and lasers in communications. This handbook is the ideal companion for scientists, engineers, and students working with lasers, including those in optics, electrical engineering, physics, chemistry, biomedicine, and other relevant areas.

The Restructuring of Global Value Chains

Springer Nature. 2022

This book discusses the feasible breakthrough of emerging economy enterprises in participating the international division of labor led by developed countries and gradually standing at the top end(s) of the value chain based on a deep understanding of the practice and upgrading opportunities of Chinese enterprises. On the basis of re-understanding the theory of global value chains, this book puts forward and expounds the concept of restructuring the global value chain. This book analyzes the background, motivations, paths and effects of enterprises in emerging economies to reconstruct the global value chain and develops a theoretical system to explore the deep-seated logic behind enterprise upgrading. This book concludes that the transformation and upgrading of Chinese enterprises are the most critical initiatives in seeking a new balance in the world economy. This book involves dozens of manufacturing enterprise cases in Chinese mainland and Taiwan. It is of great value to the research and policy study of enterprise upgrading and the participation in global competition.

Machine Learning Applications in Non-Conventional Machining Processes

IGI Global. 2021

Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today’s technology-driven market.