- Degree Bachelor
- Code: EME 2401
- Credit hrs: 3
- Prequisites: 30 Cr. Hr.
This course introduces the principles, techniques, and tools used in experimental measurements within mechanical and multidisciplinary engineering fields. Students will study the fundamentals of measurement systems, error analysis, calibration, data acquisition, and signal processing. The course covers a wide range of sensors and transducers for measuring physical parameters such as temperature, pressure, flow, displacement, strain, force, and vibration. Emphasis is placed on experimental design, instrumentation selection, uncertainty analysis, and data interpretation to ensure accuracy and reliability in engineering applications.
Bachelor Degree in Mechanical Engineering (Energy and Power Engineering) (160 Cr.)
Experimental Methods for engineers Text/Handout.
| content serial | Description |
|---|---|
| 1 | Introduction to measurement systems |
| 2 | Complete measurement systems and types of sensors [Active Vs Passive – Contact Vs Contactless] – Lab Work [introduction to basic electronic components and Multimeter ] |
| 3 | Measurement systems : Static Characteristics [accuracy, sensitivity, precision, linearity, resolution, hystresis, zero stability, dead band, readability, range, zero drift, senitivity drift] |
| 4 | Measurement systems : Dynamic Characteristics [zero order , first order] responses and properties |
| 5 | Measurement systems : Dynamic Characteristics [second order] responses and properties |
| 6 | Introduction to data acquisition systems , Analogue Vs Digital Signals , Amplitude and frequency , sampling frequency , Nyquist theorem, aliasing, stroboscopic effect |
| 7 | 7th week assessment |
| 8 | Introdutcion to A/D conversion , D/A converter ( Digital ramp ADC [Stair step ramp], successive approximation ADC ) |
| 9 | Signal Flow scheMEfor data acquisition systems, noise effect on differential Vs single ended connections , shielding, grounding |
| 10 | Position and temperature sensors : Theory of operation , Advantages and Disadvantages , Proper selection , Position [linear , rotary] and temperature [thermistors, therocouples, IR] |
| 11 | Force measurement and error compensation |
| 12 | 12th week assessment |
| 13 | Experiment planning , generalized experimental procedure , the rule of uncertainity analysis, types of experimental errors, caliberation, uncertainity analysis and propagation of uncertainity |
| 14 | Normal distribution, students’ T- distribution , confidence interval and level of significance, error analysis [uncerainty analysis] |
| 15 | Final Revision |
| 1 | Introduction to measurement systems |
| 2 | Complete measurement systems and types of sensors [Active Vs Passive – Contact Vs Contactless] – Lab Work [introduction to basic electronic components and Multimeter ] |
| 3 | Measurement systems : Static Characteristics [accuracy, sensitivity, precision, linearity, resolution, hystresis, zero stability, dead band, readability, range, zero drift, senitivity drift] |
| 4 | Measurement systems : Dynamic Characteristics [zero order , first order] responses and properties |
| 5 | Measurement systems : Dynamic Characteristics [second order] responses and properties |
| 6 | Introduction to data acquisition systems , Analogue Vs Digital Signals , Amplitude and frequency , sampling frequency , Nyquist theorem, aliasing, stroboscopic effect |
| 7 | 7th week assessment |
| 8 | Introdutcion to A/D conversion , D/A converter ( Digital ramp ADC [Stair step ramp], successive approximation ADC ) |
| 9 | Signal Flow scheMEfor data acquisition systems, noise effect on differential Vs single ended connections , shielding, grounding |
| 10 | Position and temperature sensors : Theory of operation , Advantages and Disadvantages , Proper selection , Position [linear , rotary] and temperature [thermistors, therocouples, IR] |
| 11 | Force measurement and error compensation |
| 12 | 12th week assessment |
| 13 | Experiment planning , generalized experimental procedure , the rule of uncertainity analysis, types of experimental errors, caliberation, uncertainity analysis and propagation of uncertainity |
| 14 | Normal distribution, students’ T- distribution , confidence interval and level of significance, error analysis [uncerainty analysis] |
| 15 | Final Revision |
| 1 | Introduction to measurement systems |
| 2 | Complete measurement systems and types of sensors [Active Vs Passive – Contact Vs Contactless] – Lab Work [introduction to basic electronic components and Multimeter ] |
| 3 | Measurement systems : Static Characteristics [accuracy, sensitivity, precision, linearity, resolution, hystresis, zero stability, dead band, readability, range, zero drift, senitivity drift] |
| 4 | Measurement systems : Dynamic Characteristics [zero order , first order] responses and properties |
| 5 | Measurement systems : Dynamic Characteristics [second order] responses and properties |
| 6 | Introduction to data acquisition systems , Analogue Vs Digital Signals , Amplitude and frequency , sampling frequency , Nyquist theorem, aliasing, stroboscopic effect |
| 7 | 7th week assessment |
| 8 | Introdutcion to A/D conversion , D/A converter ( Digital ramp ADC [Stair step ramp], successive approximation ADC ) |
| 9 | Signal Flow scheMEfor data acquisition systems, noise effect on differential Vs single ended connections , shielding, grounding |
| 10 | Position and temperature sensors : Theory of operation , Advantages and Disadvantages , Proper selection , Position [linear , rotary] and temperature [thermistors, therocouples, IR] |
| 11 | Force measurement and error compensation |
| 12 | 12th week assessment |
| 13 | Experiment planning , generalized experimental procedure , the rule of uncertainity analysis, types of experimental errors, caliberation, uncertainity analysis and propagation of uncertainity |
| 14 | Normal distribution, students’ T- distribution , confidence interval and level of significance, error analysis [uncerainty analysis] |
| 15 | Final Revision |
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