Artificial Intelligence Driven Energy Platforms in Mechanical Engineering
Keywords:
Deep Learning, Machine Learning, Energy, Mechanical Engineering, Artificial Intelligence.Abstract
An Examination of the Combination of Mechanical Engineering Design and Artificial Intelligence is presented in this work. The significant impact that and artificial intelligence (AI) have on the mechanical engineering design process is examined in this thesis. The book thoroughly examines traditional design methodologies and contrasts them with the creative, effective, and dynamic opportunities provided by AI and ML technologies. The study places a strong emphasis on the value of datasets, AI algorithms, and their use. The formation of 'Specialist's Partner,' an innovation that supports mechanical engineering design through artificial intelligence, is a significant accomplishment. This tool demonstrates how AI may be used practically to link theoretical knowledge with real-world engineering difficulties. The applications of AI and their contribution to sustainable development in a number of mechanical engineering trends are highlighted in this study. Consequently, it provides data and research on AI sustainability, which includes both environmental and economic progress. Additionally, it has demonstrated how AI applications support sustainable development by meeting energy demands, generating employment, and improving environmental conservation.
