Santosh Kumar Tamang – författare

Manufacturing Process Optimization for Sustainable Development Using Digital Twin Applications explores the potential of digital twin applications in the manufacturing sector, with a primary focus on achieving sustainable development.

The edited volume provides a comprehensive overview of the interdisciplinary nature of digital twin applications, considering how collaboration between engineering, data science, environmental science, and other fields can lead to holistic and impactful solutions. The content addresses the challenges and potential hurdles in implementing digital twin solutions in manufacturing while also proposing future directions for research and development in this rapidly evolving field, further reviewing how digital twin technologies can be effectively applied to enhance efficiency, reduce waste, and improve overall productivity in manufacturing processes. The role of digital twins in contributing to sustainable development goals is also analyzed, including considerations such as resource conservation, energy efficiency, and the reduction of environmental impact throughout the manufacturing lifecycle. Case studies and real-world examples are included to illustrate successful implementations.

The publication caters to a diverse audience of professionals, researchers, and academics from engineering disciplines, including mechanical engineers, industrial engineers, electrical and electronic engineers, data scientists and AI engineers, and manufacturing and operations managers. The comprehensive approach makes it an essential resource for anyone seeking to understand the intersection of digital twin technology and sustainable manufacturing practices.

Manufacturing Process Optimization for Sustainable Development Using Digital Twin Applications explores the potential of digital twin applications in the manufacturing sector, with a primary focus on achieving sustainable development.

The edited volume provides a comprehensive overview of the interdisciplinary nature of digital twin applications, considering how collaboration between engineering, data science, environmental science, and other fields can lead to holistic and impactful solutions. The content addresses the challenges and potential hurdles in implementing digital twin solutions in manufacturing while also proposing future directions for research and development in this rapidly evolving field, further reviewing how digital twin technologies can be effectively applied to enhance efficiency, reduce waste, and improve overall productivity in manufacturing processes. The role of digital twins in contributing to sustainable development goals is also analyzed, including considerations such as resource conservation, energy efficiency, and the reduction of environmental impact throughout the manufacturing lifecycle. Case studies and real-world examples are included to illustrate successful implementations.

The publication caters to a diverse audience of professionals, researchers, and academics from engineering disciplines, including mechanical engineers, industrial engineers, electrical and electronic engineers, data scientists and AI engineers, and manufacturing and operations managers. The comprehensive approach makes it an essential resource for anyone seeking to understand the intersection of digital twin technology and sustainable manufacturing practices.

The book focuses on multiple areas of manufacturing, including cutting-edge material processing technologies, custom-made materials, metallic and non-metallic materials, new engineering experiments, contemporary machining, joining, surface modification, and process optimization techniques.

Readers will find in this volume an extensive exploration of various advanced manufacturing and material engineering topics. It includes a detailed examination of aluminum grades and their applications, an overview of cold spray additive manufacturing, and a discussion on Gas Metal Arc Welding (GMAW) for cladding low-carbon steel plates. The volume also presents innovative approaches to brake pedal design using topology optimization, analysis of resistance-spot welding quality, and the impact of shot peening on the corrosion behavior of SiC Particle Reinforced Aluminum Composite. It highlights crucial factors in 3D printed component strength, reviews 3D milling operations with ABAQUS, and delves into the rare ferroelectric material Fresnoite. The book surveys visual sensing technologies for weld pool analysis, simulates Claus Sulfur Recovery Units with Aspen Plus, and discusses ultrasonic-assisted stir casting for metal matrix nanocomposites. It also covers the joining of dissimilar magnesium alloys, advancements in electrochemical surface coatings, unconventional machining techniques, surface coating processes using pulsed power systems, natural fiber-reinforced composite fabrication, and process parameter optimization in laser beam welding using NSGA-II.

Audience

The book will interest researchers in academia and industry engineers in advanced manufacturing, materials science, surface science, adhesion and coatings, production engineering, civil engineering, and welding.