Metrology and Measurements Syllabus

Metrology and Measurements Syllabus

  1. Introduction to Metrology

    • Definition and importance of metrology
    • Types of measurements and measurement systems
    • Standards of measurement (primary, secondary, tertiary)
    • Units of measurement and SI units
    • Calibration and traceability

  2. Measurement Errors

    • Types of errors (systematic, random, gross)
    • Sources of errors
    • Methods to minimize errors
    • Statistical analysis of measurement data

  3. Linear and Angular Measurements

    • Vernier calipers, micrometers, and height gauges
    • Sine bars, bevel protractors, and angle gauges
    • Comparators (mechanical, optical, pneumatic)
    • Surface roughness measurement

  4. Form Measurement

    • Measurement of straightness, flatness, roundness, and cylindricity
    • Use of autocollimators, spirit levels, and straight edges
    • Coordinate measuring machines (CMM)

  5. Interferometry

    • Principles of interferometry
    • Types of interferometers (Michelson, Fabry-Perot)
    • Applications in precision measurement

  6. Optical Measurements

    • Optical flats and optical projectors
    • Laser interferometry
    • Holography and its applications

  7. Force, Torque, and Pressure Measurement

    • Load cells, strain gauges, and dynamometers
    • Torque meters and pressure transducers
    • Calibration of force, torque, and pressure measuring instruments

  8. Temperature Measurement

    • Thermocouples, resistance temperature detectors (RTDs), and thermistors
    • Pyrometers and infrared thermometers
    • Calibration of temperature measuring instruments

  9. Flow Measurement

    • Orifice meters, venturi meters, and flow nozzles
    • Rotameters and turbine flow meters
    • Ultrasonic and electromagnetic flow meters

  10. Advanced Measurement Techniques

    • Non-destructive testing (NDT) methods
    • Ultrasonic testing, radiography, and eddy current testing
    • Applications of NDT in industry

Laboratory Work

  • Practical experiments related to the above topics
  • Use of measurement instruments and data acquisition systems
  • Data analysis and report writing

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