Course content

Choice of methodology and instrumentation for determination of parameters such as velocity, pressure, temperature and chemical composition. Direct and indirect measurement of heat flux, volume flow rate, hydrodymamic forces and local fluid mechanical losses. Measurement of parameters in turbulent flow. Models and scaling factors. Calibration of measurement probes. Bias and random errors. Cross-correlation and auto-correlation of sample records. Measurement accuracy demands. Measurement system composition and sensor installation. Analysis and presentation of measurement data. Experimental results as a basis for mathematical modelling and verification of analytical and numerical calculations. Measurement planning and choice of instrumentation.

Learning outcome

Knowledge:
After completion of this course, the student will have knowledge on:
- Experimental methodology
- Mesurements of pressure, temperature, velocity, forces
- Calibrating the elements of a measurement chain
- Analysis of experimental results
- Analysis of uncertainty of experimental resulta

After completion of this course, the student will have an overview on:
Both elementary and advanced techniques for the measurement of direct and indirect properties occurring in process technology

Skills:
After completion of this course, the student will have skills on measuring:
- Pressure, temperature, velocity, chemical composition
- Direct and indirect measurement of heat flux, volume flow, hydrodynamic forces and the measurement of hydrodynamic losses
- Parameters in turbulent flows
- Model tests and scaling
- Calibration of measuring devices
- Systematic and random errors
- Cross-correlations in time series
- Requirement of accuracy in experiments
- Building an experimental chain and installing of probes
- Presentation of experimental results – dimensionless groups
- Experimental results as basis for mathematical models
- Planning of experiments and instrumentation

General competence:
After completion of this course, the student will have general competence on:
For industrial processes one has to be able to measure physical properties and states, do an evaluation and use these to control the process.

Learning methods and activities

Lectures and laboratory excercises. The graphical programming environment LabVIEW, which has become an industrial standard as a development tool for test- and measurement applications, will be used in the laboratory excercises. Introduction to LabVIEW will be given in lectures. Excercises are mandatory, constituting 20% of the final grade. The lectures and exercises may be in English when students who do not speak Norwegian take the course.

Compulsory assignments

• Semester project
• Exercises

Recommended previous knowledge

Basic knowledge of heat transfer and fluid mechanics.

Course materials

A. Wheeler and A Ganjii: Introduction to Engineering Experimentation, 2nd Edition, Pearson Education 2004. Journal articles and lecture notes.

Credit reductions