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| MECA0038-1 | Measurement uncertainties and dimensional metrology
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| Duration : | 30h Th, 30h Pr |
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| Number of credits : |
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| Lecturer : | Maarten Arnst, Tristan Gilet |
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| Coordinator : | Maarten Arnst |
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Language(s) of instruction :
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| French language |
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Course contents :
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| Dimensional metrology refers to the measurement of the geometry and topology of manufactured parts and products, such as their dimensions, angles, roundness and texture. Such measurements are critical for the evaluation of prototype parts to set product specifications, as well as for the development and assessment of manufacturing processes to ensure that fabricated parts meet targeted dimensional tolerances.
Dimensional measurements are affected by measurement uncertainties due to various limitations in experimental methods. The quantification and management of these uncertainties are key to ensure the reliability of metrology data, especially when these data are used to support important engineering decisions.
This course will introduce the fundamental principles and methods underlying the reliable measurement of dimensional quantities:
- Uncertainty quantification, including random variables and probability distributions, statistical inference, hypothesis testing, and confidence intervals.
- Dimensional metrology, including measurement standards, measurement system specifications, traceability, classical metrology using handheld devices, and advanced measurement systems involving various sensing techniques.
- Measurement uncertainty, including the characterization of uncertainties on the basis of equipment specifications, the propagation and combination of uncertainties, and the reporting of uncertainties by ISO and other standards.
Detailed examples of measurement processes will be presented and analyzed in class and practiced during lab sessions. |
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Learning outcomes of the course :
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| At the end of the course, students will understand the main principles and application of various sensors and techniques for the measurement of dimensional quantities. Students will also be able to identify the errors and uncertainties that may affect such measurements, and to set up techniques for their quantification and management. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| This course assumes that students have a background in mechanics and physics, as well as in elementary calculus (integrals and derivatives), linear algebra (matrices and vectors), and probability and statistics (probability density functions, mean variance). |
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Planned learning activities and teaching methods :
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| The course takes the form of a series of lectures. The theoretical course material will be practiced through homework assignments. Several measurement processes will be demonstrated and analyzed during lab sessions. |
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Mode of delivery (face-to-face ; distance-learning) :
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| Face-to-face |
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Recommended or required readings :
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| The lectures will be supported by slides or notes prepared by the instructors, as well as by ISO and other standards relevant to dimensional metrology, geometrical product specifications, and measurement uncertainty. |
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Assessment methods and criteria :
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| Work for this course will be evaluated on the basis of a final exam that will cover the theoretical material seen in class, as well as the lab sessions. Students will be required to complete regular homework assignments, as well as to document their lab work in a concise report. The final grade will be a weighted average of the grades obtained for the homework (15%), lab report (15%) and final exam (70%). |
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Organizational remarks :
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| The course is taught in the Spring semester. |
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Contacts :
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| Dr. Maarten ArnstAssistant Professor
Office: B52 - 0/419
Email: Maarten.Arnst@ulg.ac.be
Dr. Tristan Gilet
Assistant Professor
Office: B52 - 0/423
Email: Tristan.Gilet@ulg.ac.be
Julien Lemaire
Teaching assistant
Office: B52 - 0/424
Email: Julien.Lemaire@ulg.ac.be |
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