Machine Intelligence in Mechanical Engineering

Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions this interdisciplinary book will help readers to explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Examines a range of transfer printing technologies and their specific features for different applications Highlights breakthrough results and systems enabled by novel TP techniques Offers an insightful outlook on trends and future directions in each sub-area of transfer printing INDICE: 1. Machine Intelligence in Mechanical Engineering: Introductory Overview2. Implementation of machine Intelligence in machining operations3. Smart production line management4. Preventive maintenance with artificial intelligence5. Manufacturing data clustering and optimization6. AR/VR technology requirements in mechanical7. Machine vision technology in mechanical engineering8. Intelligent controlling of fluid flow9. Heat transfer modelling and smart controlling10. Data assisted automobile/vehicles dynamic systems11. Intelligence based plant engineering12. Machine intelligence in mechanics13. Smart business modelling and marketing of products14. Supply chain management and decision making15. Industry 4.0 for mechanical engineers16. Intelligent teaching-learning of mechanical engineering17. Socio-economical impacts of machine intelligence in automation18. Autonomous systems with intelligent agents19. Roles of cloud computing in manufacturing sectors20. Energy management with intelligent control

• ISBN: 978-0-443-18644-8
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 430
• Fecha Publicación: 01/08/2023
• Nº Volúmenes: 1
• Idioma: Inglés