Experimental Methods and instrumentation

  • Mechanical Engineering |
  • English

Description

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.

Program

Bachelor Degree in Mechanical Engineering (Energy and Power Engineering) (160 Cr.)

Objectives

  • acquisition, analysis and presentation. • To understand how to quantify error and uncertainty in physical measurements. • To gain hands-on experience with modern instrumentation, systems-level experimentation and different sensors . • To improve written and oral communication skills, to develop the ability to write engineering reports of high quality, and to improve the student’s ability to function as a member of an engineering team. • The professional and ethical responsibilities of mechanical power and energy engineers.

Textbook

Experimental Methods for engineers Text/Handout.

Course Content

content serial Description
1Introduction to measurement systems
2Complete measurement systems and types of sensors [Active Vs Passive – Contact Vs Contactless] – Lab Work [introduction to basic electronic components and Multimeter ]
3Measurement systems : Static Characteristics [accuracy, sensitivity, precision, linearity, resolution, hystresis, zero stability, dead band, readability, range, zero drift, senitivity drift]
4Measurement systems : Dynamic Characteristics [zero order , first order] responses and properties
5Measurement systems : Dynamic Characteristics [second order] responses and properties
6Introduction to data acquisition systems , Analogue Vs Digital Signals , Amplitude and frequency , sampling frequency , Nyquist theorem, aliasing, stroboscopic effect
77th week assessment
8Introdutcion to A/D conversion , D/A converter ( Digital ramp ADC [Stair step ramp], successive approximation ADC )
9Signal Flow scheMEfor data acquisition systems, noise effect on differential Vs single ended connections , shielding, grounding
10Position and temperature sensors : Theory of operation , Advantages and Disadvantages , Proper selection , Position [linear , rotary] and temperature [thermistors, therocouples, IR]
11Force measurement and error compensation
1212th week assessment
13Experiment planning , generalized experimental procedure , the rule of uncertainity analysis, types of experimental errors, caliberation, uncertainity analysis and propagation of uncertainity
14Normal distribution, students’ T- distribution , confidence interval and level of significance, error analysis [uncerainty analysis]
15Final Revision
1Introduction to measurement systems
2Complete measurement systems and types of sensors [Active Vs Passive – Contact Vs Contactless] – Lab Work [introduction to basic electronic components and Multimeter ]
3Measurement systems : Static Characteristics [accuracy, sensitivity, precision, linearity, resolution, hystresis, zero stability, dead band, readability, range, zero drift, senitivity drift]
4Measurement systems : Dynamic Characteristics [zero order , first order] responses and properties
5Measurement systems : Dynamic Characteristics [second order] responses and properties
6Introduction to data acquisition systems , Analogue Vs Digital Signals , Amplitude and frequency , sampling frequency , Nyquist theorem, aliasing, stroboscopic effect
77th week assessment
8Introdutcion to A/D conversion , D/A converter ( Digital ramp ADC [Stair step ramp], successive approximation ADC )
9Signal Flow scheMEfor data acquisition systems, noise effect on differential Vs single ended connections , shielding, grounding
10Position and temperature sensors : Theory of operation , Advantages and Disadvantages , Proper selection , Position [linear , rotary] and temperature [thermistors, therocouples, IR]
11Force measurement and error compensation
1212th week assessment
13Experiment planning , generalized experimental procedure , the rule of uncertainity analysis, types of experimental errors, caliberation, uncertainity analysis and propagation of uncertainity
14Normal distribution, students’ T- distribution , confidence interval and level of significance, error analysis [uncerainty analysis]
15Final Revision
1Introduction to measurement systems
2Complete measurement systems and types of sensors [Active Vs Passive – Contact Vs Contactless] – Lab Work [introduction to basic electronic components and Multimeter ]
3Measurement systems : Static Characteristics [accuracy, sensitivity, precision, linearity, resolution, hystresis, zero stability, dead band, readability, range, zero drift, senitivity drift]
4Measurement systems : Dynamic Characteristics [zero order , first order] responses and properties
5Measurement systems : Dynamic Characteristics [second order] responses and properties
6Introduction to data acquisition systems , Analogue Vs Digital Signals , Amplitude and frequency , sampling frequency , Nyquist theorem, aliasing, stroboscopic effect
77th week assessment
8Introdutcion to A/D conversion , D/A converter ( Digital ramp ADC [Stair step ramp], successive approximation ADC )
9Signal Flow scheMEfor data acquisition systems, noise effect on differential Vs single ended connections , shielding, grounding
10Position and temperature sensors : Theory of operation , Advantages and Disadvantages , Proper selection , Position [linear , rotary] and temperature [thermistors, therocouples, IR]
11Force measurement and error compensation
1212th week assessment
13Experiment planning , generalized experimental procedure , the rule of uncertainity analysis, types of experimental errors, caliberation, uncertainity analysis and propagation of uncertainity
14Normal distribution, students’ T- distribution , confidence interval and level of significance, error analysis [uncerainty analysis]
15Final Revision

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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