Artificial intelligence supported mechanical engineering design

Abstract

An Investigation on the Integration of Artificial Intelligence with Mechanical Engineering Design: This thesis explores the profound influence of artificial intelligence (AI) and machine learning (ML) on the process of mechanical engineering design. The text conducts a thorough analysis of conventional design approaches, contrasting them with the dynamic, efficient, and innovative possibilities brought about by AI and ML technology. The study emphasizes the significance of datasets, AI algorithms, and their utilization. An important achievement is the creation of 'Engineer's Ally,' a program that utilizes artificial intelligence to aid in mechanical engineering design. This tool showcases the practical implementation of AI in connecting theoretical understanding with practical engineering problems. The thesis also examines crucial factors such as ethical considerations, privacy problems, and the difficulties of incorporating AI into established mechanical engineering systems. The article provides an equitable viewpoint on the capabilities and constraints of AI in mechanical engineering, highlighting the necessity for continuous investigation and ethical supervision in this swiftly progressing domain.

An Investigation on the Integration of Artificial Intelligence with Mechanical Engineering Design: This thesis explores the profound influence of artificial intelligence (AI) and machine learning (ML) on the process of mechanical engineering design. The text conducts a thorough analysis of conventional design approaches, contrasting them with the dynamic, efficient, and innovative possibilities brought about by AI and ML technology. The study emphasizes the significance of datasets, AI algorithms, and their utilization. An important achievement is the creation of 'Engineer's Ally,' a program that utilizes artificial intelligence to aid in mechanical engineering design. This tool showcases the practical implementation of AI in connecting theoretical understanding with practical engineering problems. The thesis also examines crucial factors such as ethical considerations, privacy problems, and the difficulties of incorporating AI into established mechanical engineering systems. The article provides an equitable viewpoint on the capabilities and constraints of AI in mechanical engineering, highlighting the necessity for continuous investigation and ethical supervision in this swiftly progressing domain.