Kongunadu College of Engineering and Technology(Autonomous)

Introduction Mechanical engineering design is undergoing a major transformation with the rapid development of Artificial Intelligence (AI), Machine Learning (ML), advanced simulation, additive manufacturing, and cloud-based engineering tools. Traditional design methods generally depend on the experience of engineers, repeated modelling, analysis, and modification of a selected concept. Generative Design and AI-Assisted Engineering Design offer a smarter approach by allowing engineers to explore a large number of possible design solutions automatically. Instead of developing only one or two concepts, the designer can define the required performance, loading conditions, material, manufacturing method, space constraints, and other design requirements. The software can then generate multiple optimized design alternatives. This approach combines CAD, CAE, Artificial Intelligence, optimization algorithms, computational design, and additive manufacturing to create innovative and lightweight m...

 ABSTRACT: Mango is one of the most important tropical fruits with high economic value, but it suffers from significant post-harvest losses due to improper handling, storage, and transportation conditions. Conventional post-harvest practices depend on manual monitoring and fixed storage parameters, which often fail to respond to dynamic environmental changes. Digital Twin technology provides a smart solution by creating a virtual representation of the physical mango fruit and its post-harvest environment. This article presents a comprehensive study on the application of digital twin technology for mango post-harvest management. The proposed approach integrates IoT sensors, cloud computing, and data analytics to monitor fruit quality in real time, predict spoilage risks, and optimize storage and transportation decisions. The study highlights the process, benefits, challenges, and future scope of digital twin implementation in the mango supply chain. INTRODUCTION: Mango is widely cul...

  Introduction Composite 3D printing is rapidly emerging as an advanced manufacturing method for producing lightweight, high-strength, and geometrically complex components. However, achieving consistent quality in composite additive manufacturing remains challenging due to variations in fibre distribution, temperature, bonding, porosity, and deposition conditions. Intelligent Composite 3D Printing addresses these challenges by integrating Artificial Intelligence, Machine Learning, and In-Situ Monitoring directly into the printing process. This combination enables the manufacturing system to monitor component quality in real time, detect defects, and automatically adjust printing parameters. What is Intelligent Composite 3D Printing? Intelligent composite 3D printing is an advanced additive manufacturing approach in which composite materials are printed using a digitally controlled process supported by sensors and AI-based decision systems. Composite feedstocks may include: Carbon-...

  Introduction Buildings, bridges, and other civil infrastructure are exposed to ageing, environmental conditions, heavy loads, and unexpected damage. Traditional Structural Health Monitoring mainly depends on periodic inspections and sensor data. However, continuous monitoring is becoming increasingly important for maintaining structural safety. AI-powered Digital Twins provide a smarter approach by creating a continuously updated virtual representation of a physical structure. This technology combines real-time data, sensors, and Artificial Intelligence to help engineers understand structural behaviour and identify possible problems at an earlier stage. AI-powered Digital Twin showing a real bridge connected to a virtual structural model Evolution of Structural Health Monitoring Traditional structural monitoring mainly relied on visual inspections and periodic measurements to identify damage. Later, sensors were introduced to measure vibration, strain, displacement, and temp...

The Digital Twin is driving a seismic shift, marking the birth of the "living blueprint." It's a dynamic, sentient virtual replica of any physical entity, from a turbine to a city. This replica doesn't just display data; it thinks, learns, and predicts. Liberated from reacting to failures, the Twin autonomously models solutions. It steers the physical asset toward maximum efficiency and zero downtime. The Digital Twin is the key to perpetual optimization. Though rooted in early command-and-control systems, the Digital Twin remained a distant vision. Today, the powerful confluence of ubiquitous IoT sensing, near-zero latency 5G networks, and the infinite power of the Hyperscale Cloud has broken the chains of limitation. This convergence has made the conceptual twin a practical, indispensable tool, enabling widespread autonomous asset management and goal-driven optimization. The Digital Twin combines real-time biometrics of the physical world with algorithmic intelligen...