Artificial Intelligence and Robotics in Manufacturing

Více o produktu ↓

Artificial Intelligence (AI) is revolutionizing the manufacturing industry by automating tasks at a speed, scale, and scope that far surpasses human capabilities. As AI continues to advance, it is clear that the future of manufacturing will be driven by intelligent systems.

Artificial intelligence (AI) is revolutionizing the manufacturing industry by automating tasks at a speed, scale and scope that far surpass human capabilities. As AI continues to advance, it is clear that the future of manufacturing will be driven by intelligent systems. These systems have the potential to transform the way products are made, improving efficiency and quality across the board. AI is paving the way for a new era of manufacturing, where innovation and automation go hand in hand.

Artificial Intelligence and Robotics in Manufacturing: A Sustainable Future offers a comprehensive exploration of the scientific and technological advancements in robotics-based manufacturing. This book delves into a variety of topics, including applications in the aerospace, nuclear and medical industries. Emphasizing the use of advanced AI-based robotics, this book highlights recent breakthroughs in manufacturing techniques, specifically focusing on AI applications in fabrication and machining. Additionally, it examines the rapid evolution of AI technology and addresses cost-effective solutions within the manufacturing sector.

Overall, this book provides valuable insights into the intersection of AI and robotics in manufacturing, offering a glimpse into the exciting possibilities for the future of this industry and allowing this book to serve as a valuable source for academics, researchers in manufacturing, computational scientists, mechanical engineers, systems engineers, manufacturing engineers and professionals in industries related to AI and manufacturing.

Obsah

1. Advanced Manufacturing Techniques of Additive Manufacturing Processes: A State-of-the-Art Review and Future Applications. 2. Predicting Productivity and Surface Quality in EN19 Alloy Electrical Discharge Machining Using Machine Learning Regression Models. 3. Implementation of AI and Industry 4.0 in Additive Manufacturing Processes. 4. Investigation on Damper Material While Designing and Simulation of Low-Cost Magnetorheological Fluid: A Manufacturing Systems-Based Case Study. 5. Case Study, Future Trends, and Innovations in AIoT-Based Manufacturing Technologies. 6. Green Composite: AI-Based Fabrication, Characterization, Evaluation, and Application. 7. IoT-Based Algorithms for Robots: A Case Study on Remanufacturing. 8. AI-Based Scientometric Analysis of Post-Processing in Additively Manufactured Structure: Insights from 2013 to 2023.