Checking date: 30/05/2022

Course: 2022/2023

Experimental techniques and test virtual machine
Study: Master of Engineering and Transport Machinery (73)

Coordinating teacher: SAN ROMAN GARCIA, JOSE LUIS

Department assigned to the subject: Department of Mechanical Engineering

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
The previous training as ingeneer in the industrial and production field
In this course, the following skills of the engineering studies will be promoted: - Improve the knowledge of mathematical methods, analytical, numerical and experimental aspects of engineering machines. - Design, calculate and product design with the knowledge and control of the uncertainty. - Apply the acquired knowledge and solve problems in new or unfamiliar environments within broader contexts and multidisciplinary environments.
Skills and learning outcomes
Description of contents: programme
1. Stress analysis and fatigue design methods by MEF. 2. Methodology for quantifying uncertainties in MEF methods. Application to the design of virtual laboratories 3. Concepts of metrology. Relationship between uncertainty and tolerance design. 4. Experimental techniques in mechanical engineering: extensometry. Monitoring application to fatigue tests. 5. Experimental techniques in mechanical engineering: photoelasticity. Monitoring application to fatigue tests. 6. Design of static and dynamic test machines controlled metrological quality.
Learning activities and methodology
The training activities include: - Lectures, where knowledge that students should acquire are presented. To facilitate their development students receive class notes and have basic reference texts that facilitates follow lessons and develop further work. - Performing related to the topic of the subject requiring the application of the concepts acquired works. - Lab, where students experimentally verify the theoretical concepts and results seen in class. - Lab in computer classroom, where you work with high-level programs that address the issues raised in the subject.
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60
Calendar of Continuous assessment
Basic Bibliography
  • . Notes of the subject published in Aula Global. UC3M.
Additional Bibliography
  • . Errors Due to Misalignment of Strain Gages.. Micro-Measurements, V. Tech Note TN-511. 2010
  • . Errors Due to Transverse Sensitivity in Strain Gages.. Micro-Measurements, V. Tech Note TN-509. 2010
  • . Errors Due to Wheatstone Bridge Nonlinearity.. Micro-Measurements, V. Tech Note TN-507-1. 2010
  • . Evaluation of measurement data. Supplement 1 to the ¿Guide to the expression of uncertainty in measurement¿. Propagation of distributions using a Monte Carlo method. Joint Committee for Guides in Metrology. 2008
  • . GUM Evaluation of measurement data ¿ Guide to the expression of uncertainty in measurement. JCGM 1002008. 2008
  • . Shunt Calibration of Strain Gage Instrumentation.. Micro-Measurements. Tech Note TN-514. 2004
  • Hills, R.G., and Trucano, T.G.. Statistical validation of engineering and scientific models: Background.. Sandia Natl. Lab.. 1999
  • . Strain Gage Thermal Output and Gage Factor Variation with Temperature.. Micro-Measurements, V. Tech Note TN-504-1. 2010
  • Montero, W., Farag, R., Díaz, V., Ramirez, M., and Boada, B.L.. Uncertainties associated with strain-measuring systems using resistance strain gauges. J. Strain Anal. Eng. Des.. 2011
  • Oberkampf, W.L., and Barone, M.F.. Measures of agreement between computation and experiment: Validation metrics.. J. Comput. Phys.. 2006
  • Watson, R.B.. Bonded Electrical Resistance Strain Gages,. Springer, Boston, MA, . 2008
  • . The Three-Wire Quarter-Bridge Circuit.. Micro-Measurements, V. 2010

The course syllabus may change due academic events or other reasons.