Before choosing course
The aim of this course is to build knowledge in the field of measurement of physical objects. To fulfill this goal methods and algorithms will be taught for the purpose of solving different measurement tasks in the manufacturing industry. Understanding of necessary statistical analysis methods to be used for estimation of uncertainty, repeatability and reproducibility of measurements is an example of an important goal. Using and handling data from coordinate measurement machines (CMMs) also tools and algorithms for precise data handling in the image processing field will be learned. Students will learn how to extract information from images that can be used for estimating dimensions of objects and also learn how to estimate errors in that process. Besides using standards for calibration of metrology tools also self-calibration methods will be taught as a way to separate errors sources in measurements in one and two dimensions.
Choose semester and course offering
Choose semester and course offering to see information from the correct course syllabus and course offering.
Content and learning outcomes
Course contents
- The role of the metrology in the production process
- Statistics for handling of measurement data
- Tolerances and how they are connected to measurement of machined parts
- Mechanical and optical systems for dimension measurements
- Vision systems and image processing
Intended learning outcomes
After completing the course with a passing grade the student should be able to:
- use different methods of measurement and understand their limitations
- use statistical methods to estimate and express measurement uncertainties from the given measurement data and/or instruments and method properties
- carry out basic image processing for metrology applications
- understand and use tolerances and standards based on Geometric product specifications (GPS)
Course Disposition
Practical labs using measurement tools and devices, interleaved with introductory and reflecting lectures/lessons. Written assignments.
Literature and preparations
Specific prerequisites
Students admitted to Engineering programmes (five-year) or Master's programmes (two-year) that has completed one of the courses MG1000, MG1016, MG1026 or MG2104 or have equivalent prior knowledge in manufacturing technology.
Recommended prerequisites
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Equipment
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Literature
Görs tillgängligt i Canvas för registrerade kursdeltagare
Can be downloaded from LMS by registered participants in the course.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- LABA - Laboratory work, 3,0 hp, betygsskala: P, F
- TENA - Written exam, 3,0 hp, betygsskala: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Attendance at at least 70% of the lectures in the course (10 of 14)
Opportunity to complete the requirements via supplementary examination
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Opportunity to raise an approved grade via renewed examination
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Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course web
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Course web MG2010Offered by
Main field of study
Technology
Education cycle
Second cycle
Add-on studies
MG2110 Advanced Metrology
Contact
Peter Ekberg, plekberg@kth.se