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AI-Metrology (NJK)

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AI-Metrology Artificial Intelligence revolutionizes metrology by enhancing measurement precision, automating analysis, and predicting equipment failures for mechanical engineering students exploring Industry 4.0. AI-Metrology Fundamentals AI integrates machine learning algorithms with traditional metrology tools like CMMs, laser scanners, and vision systems to process vast datasets from sensors. Neural networks detect anomalies in surface profiles or dimensional data faster than manual methods, while predictive models forecast tool wear in CNC machining. ​ Key Techniques Computer Vision AI : Analyzes images from optical scanners to classify defects on machined parts, using convolutional neural networks (CNNs) for edge detection and roughness evaluation. Predictive Maintenance : ML models like random forests analyze vibration and gauge data to predict calibration needs, reducing downtime by 30-50% in manufacturing labs. Generative AI Optimization : Simulates measurement variations due t...
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Autonomous Vehicles and AI-Based Mechanical Control Systems(GRK)

  Autonomous Vehicles and AI-Based Mechanical Control Systems Abstract This seminar paper presents an in-depth discussion on Autonomous Vehicles and AI-Based Mechanical Control Systems. The role of Artificial Intelligence (AI) and Machine Learning (ML) in monitoring, analysing, and improving mechanical systems is explored. Key principles, architecture, algorithms, applications, advantages, challenges, case studies, and future directions are highlighted in this work. Introduction Condition monitoring and control of mechanical systems play a vital role in increasing system reliability, safety, and availability. Traditional mechanical engineering methods are now enhanced by data-driven AI models to detect faults automatically and improve performance. Technology Background Mechanical components such as bearings, gears, shafts, engines, and turbines experience continuous stress and wear during operation. Sensors such as accelerometers, thermocouples, current sensors, and...
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Machine vision (NJK)

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Machine vision Machine vision integrates cameras, sensors, and AI algorithms to enable machines to "see" and interpret visual data, transforming mechanical engineering practices in manufacturing and automation. This technology enhances precision in quality control, robotics, and design processes, making it essential for modern mechanical engineers and polytechnic curricula. ​ Core Concepts Machine vision systems capture images using high-resolution cameras like CCD or CMOS, then process them via software for analysis. Key steps include image acquisition, preprocessing (e.g., noise reduction), feature extraction, and decision-making using AI like deep learning. In mechanical engineering, this replicates human inspection but at higher speeds and accuracy, supporting tasks from defect detection to robotic guidance. ​ Key Applications Machine vision guides robots in assembly by locating parts and verifying orientations, crucial for automotive welding and electronics PCB inspectio...
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International Organization for Standardization (ISO) - NJK

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International Organization for Standardization (ISO)   ISO standards give mechanical engineers a common, internationally accepted way to design, manufacture, and manage quality, safety, and environment in engineering systems. The following blog-style content is suitable for diploma/UG students. ​ Introduction to ISO for Mechanical Engineers In modern industries, customers expect machines and components to be safe, reliable, and consistent, whether they are made in India, Germany, or Japan. ISO standards make this possible by providing globally agreed rules for how organizations should manage quality, environment, safety, and many engineering processes. ​ What Is ISO? ISO stands for the International Organization for Standardization, an independent body that develops international standards for products, services, and systems. ​ An ISO standard is essentially an agreed “best way of doing something”, documented as a reference that companies and engineers can follow. ​ Why ISO Matters...
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