Day 1
Introduction
Metrology definitions
- SI system and traceability
- Definitions (repeatability, reproducibility, uncertainty etc.)
- Components of a measurement system
Short range sensors
- Sensor terminology (range, resolution, sensitivity etc.)
- Sensor types (capacitive, inductive, optical etc.)
Long range sensors
- Displacement interferometry (principle, components, error sources etc.)
- Encoders (theory, various types)
Day 2
Case introduction
- Measurement machine for freeform optics
- Case will be used and developed throughout course
- Analysis of existing solutions
- Performance estimation (uncertainty calculation)
Mechatronic context
- Control theory summary
- Influence of sensor properties
- Influence of sensor placement
- Applying corrections
Metrology on system level
- Design principles for low uncertainty
- Error types
- Rules of Abbe and Bryan
- System loops
- Quantity of concern
- Error budgeting basics
Day 3
System calibration
- Calibration terminology
- Calibration instruments & artefacts
- Self-calibration and reversal techniques
- Application examples
- Use of calibration data
Machine Vision
Case SMT system
- Vision metrology
- Calibration of series products
- Data logistics for field replacement units
