DEPARTMENT OF MECHANICAL ENGINEERING

  Latest Trends in Press Working  Press working (sheet metal working) is advancing through automation, precision control, and digital manufacturing. The latest developments include: 1. Servo Press Technology Uses servo motors instead of conventional flywheel drives. Provides precise control of ram speed, position, and force. Advantages: Higher accuracy Better surface finish Longer die life Up to 30% lower energy consumption in suitable applications. 2. AI-Based Smart Presses Artificial intelligence monitors: Press load Die wear Sheet alignment Product quality Detects defects early and optimizes production automatically. 3. Industry 4.0 and IoT Integration Modern press shops use: Real-time sensors Cloud monitoring Predictive maintenance Digital production dashboards Automatic quality inspection. 4. High-Speed Progressive Die Stamping Multiple operations (piercing, bending, blanking, forming) are completed in one die set...

  Intelligent (AI-Driven) Forging Artificial intelligence monitors forging parameters in real time. Machine learning predicts defects, grain size, and mechanical properties. Adaptive process control automatically adjusts temperature, press force, and deformation. 2. Digital Twin Technology A digital replica of the forging line simulates the process before production. Enables: Real-time quality prediction Reduced trial-and-error Predictive maintenance Improved dimensional accuracy 3. Isothermal Forging Dies and workpiece are maintained at nearly the same high temperature. Used for: Titanium alloys Nickel superalloys Aerospace engine components Produces excellent dimensional accuracy with minimal defects. 4. Precision and Near-Net Shape Forging Components are forged close to their final dimensions. Benefits: Less machining Lower material waste Reduced manufacturing cost Higher productivity 5. Radial Forging with Precisio...

  Statistical Process Control (SPC) and Statistical Quality Control (SQC) If you've ever wondered how a factory can produce millions of identical parts without checking every single one, or how a hospital keeps infection rates within safe limits, the answer usually traces back to two closely related disciplines: Statistical Process Control (SPC) and Statistical Quality Control (SQC) . Together, they form the backbone of modern quality management, turning raw data into decisions that keep processes stable, predictable, and efficient. This post breaks down what SPC and SQC actually mean, how they differ, the tools that make them work, and how to start applying them in your own operations. What Is Statistical Quality Control (SQC)? Statistical Quality Control is the umbrella term for using statistical methods to monitor and improve quality. It covers three broad areas: Descriptive statistics — using tools like mean, standard deviation, range, and distribution shape to describe ...