Subject DatasheetDownload PDF
|Budapest University of Technology and Economics|
|Faculty of Transportation Engineering and Vehicle Engineering|
|1. Subject name||Measurement systems in vehicle manufacturing|
|2. Subject name in Hungarian||Járműgyártási méréstechnika|
|3. Code||BMEKOGGM652||4. Evaluation type||mid-term grade||5. Credits||5|
|6. Weekly contact hours||2 (10) Lecture||0 (0) Practice||2 (11) Lab|
Vehicle Engineering MSc (J)
Specialization (sp) at Vehicle Engineering MSc (J)
|9. Working hours for fulfilling the requirements of the subject||150|
|Contact hours||56||Preparation for seminars||18||Homework||8|
|Reading written materials||54||Midterm preparation||4||Exam preparation||10|
|10. Department||Department of Automotive Technologies|
|11. Responsible lecturer||Dr. Bánlaki Pál|
|12. Lecturers||Dr. Bánlaki Pál|
|14. Description of lectures|
|Basic concepts of measurement technology, measurement methods, measurement errors, systematic errors, accidental errors, law of error summing. Measuring instruments: length gauges, constant values (measuring columns, gauges), variable length gauges, mechanics (caliper, micrometer, fine probes, gauges), optical (optometer, length measuring machine, workshop microscope, laser interferometer), angular measuring tools, methods, pneumatic, electrical sensors and measuring systems. Coordinate measuring machines, spatial measurements.
Typical measurement tasks and tools: shape failure measurements, position error measurements, surface characteristics (surface roughness, topography), gear measurements, thread measurements.
Design of measurement technology, within the system and at the finished piece. Measuring tool management.
Automatic size control. Surface digitization. Process measurement technology (temperature, vibration, force, torque, etc.), monitoring systems.
Calibration and calibration of measuring instruments. Statistical Process Control (SPC).
|15. Description of practices|
|16. Description of labortory practices|
|Complex Measurements (length, shape, surface, 1D, 2D, 3D measurements. 3D surface and shape digitising, scanning methods.|
|17. Learning outcomes|
|18. Requirements, way to determine a grade (obtain a signature)|
The conditions for obtaining the final signature are the completing the midterm test,(20%), taking part on all the labs, and submiting an acceptable individual task (30%).
|19. Opportunity for repeat/retake and delayed completion|
|The midterm test and the individual task can be retaken once.|
|20. Learning materials|
|Slides and presentation notes|
|Effective date||10 October 2019||This Subject Datasheet is valid for||Inactive courses|