چکیده مقاله
Artificial Intelligence AI is rapidly transforming modern manufacturing by enabling real time data analysis, predictive maintenance, intelligent automation, and optimized design and resource utilization From a mechanical engineering perspective, AI represents a major shift from traditional physics based approaches toward data driven and autonomous systems that enhance the design, operation, and maintenance of mechanical equipment This paper reviews the role of AI in manufacturing with a focus on key mechanical engineering applications and its contribution to smart production systems Major areas discussed include AI assisted machine and process design, predictive analytics, robotics, quality control, and production optimization AI based digital twins enable real time monitoring and predictive simulation of mechanical systems, while generative design algorithms create innovative and high performance geometries In manufacturing operations, predictive maintenance utilizes sensor data to forecast component failures, such as those in bearings and gears, thereby reducing downtime and associated costs Computer vision improves quality inspection by detecting fine defects, and AI powered robotics supports adaptive and collaborative automation The paper also highlights AI’s impact on production scheduling, process control, and energy management, leading to higher efficiency and sustainability Emerging applications such as AI driven materials discovery and additive manufacturing optimization are briefly addressed Despite these benefits, challenges remain, including data availability and quality, model explainability, workforce skill gaps, and cybersecurity concerns Overall, the integration of AI with mechanical engineering is driving the transition toward autonomous, resilient, and human centered manufacturing systems aligned with Industry 4 0 and Industry 5 0 concepts
کلیدواژهها
نویسندگان
Mohammad Reza Alaghemand
Department of Mechanical and Aerospace Engineering, ET C , Islamic Azad University, Tehran, Iran
Nima Rasekh Saleh
Department of Mechanical and Aerospace Engineering, ET C , Islamic Azad University, Tehran, Iran
Nasim Nayebpashaee
Department of Mining and Material Engineering, Tarbiat Modares University, Tehran, Iran
شیوه ارجاع
Alaghemand, Mohammad Reza and Rasekh Saleh, Nima and Nayebpashaee, Nasim,1404,The role of artificial intelligence in modern manufacturing: mechanical engineering perspective,The11th International and 22th National Conference on Manufacturing Engineering,Tehran
ارائهشده در
یازدهمین کنفرانس بین المللی بررسی مسائل جاری زبان ها، زبان شناسی، ترجمه و ادبیات13 بهمن 1404 · اهواز