Kongunadu College of Engineering and Technology(Autonomous)

INTRODUCTION     A key component of technological progress, artificial intelligence has an impact on almost every sector, including mechanical engineering. In the past, AI was mostly linked to automation and data science, but it is already transforming the way engineers create, produce, and manage systems. This change is fostering previously unthinkable levels of creativity, accuracy, and efficiency     This essay will examine the emergence of artificial intelligence (AI) in mechanical engineering.     AI describes the ability of machines and systems to carry out operations like learning, problem-solving, and decision-making that normally call for human intellect. AI is frequently included into software tools used in mechanical engineering to assist machines in learning from data and making defensible conclusions.     Many of the conventional processes, including design, analysis, simulation, manufacture, and maint enance, are ...

  Industry 4.0 is the latest manufacturing concept that integrates digital technologies in the chain of production. In this age, smart manufacturing will make use of the IoT, AI, robotics, and big data analytics for better efficiency, flexibility, and autonomy. Key Components of Industry 4.0 1. IoT and Connectivity: IoT makes machines, devices, and systems talk to each other, feeding real-time data to analyze and subsequently optimize the processes. In a smart factory, sensors collect data related to equipment performance, environmental conditions, and product quality; thus, predictive maintenance reduces downtime. 2. Artificial Intelligence and Machine Learning: Smart manufacturing really finds its backbone in AI and machine learning. These technologies enable automation of very complex tasks, make for better decision-making because of predictive analytics, and enable customization of products in high volume. AI-driven systems adapt changes in production needs with no human ...