CAI models

ID: 3601
Course type: scientific and vocational
Course coordinator: Stojadinović M. Slavenko
Lecturers: Stojadinović M. Slavenko
Contact: Stojadinović M. Slavenko
Level of studies: Ph.D. (Doctoral) studies – Mechanical Engineering
ECTS: 5
Final exam type: seminar works

Lectures

Goal

Detailed study of metrological modeling techniques of products and development of new or improvement of the existing geometrically-technological-metrological model of products for the purpose of automatic inspection planning and measurement in production and everyday engineering practice. Generating knowledge for practical application and implementation on measuring machines of various producers by defining different control data lists and measurement protocols.

Outcome

After completing of the teaching process, the student own the necessary research and practicl knowledge to understand and solve the metrological problems of integration of product design, of technology planning, of measurement and inspection planning. Automatic generation of measurement protocols and control data list for measuring machines of various manufacturers will ensure a reduction overall measurement time and inspection time and reduce measurement errors due to human factors. Also, the student will be able to effectively understand, researching, apply and improve engineering metrological problems and solve them with the concept of geometric-technological-metrological integration.

Theoretical teaching

1. Advanced models for product modeling and metrological product models. 2. Metrological and geometrical features. 3. Semantic metrological model of tolerances. 4. Metrological interfaces. 5. CAI model and intelligent metrology. 6. Research problems in this area and elected examples of application. Our research in this area.

Practical teaching

1. Geometric modeling of standard forms of tolerance for the complex metrological model of a product - a real product. 2. Taken parameters of metrological features from the STEP / IGES file. 3. Distribution of measuring points and generation of the initial measurement path. 4. Collision avoidance algorithm. 5. Optimization of the measurement path based on the ants colony - the final measurement path. 6. Generating measurement protocols and control data list.

Attendance requirement

MSc degree, primarily technical faculty.

Resources

1. Handouts for each lecture. 2.The instruction for making seminar work. 3. The monograph in the field of quality and production metrology. 4. Facility and technical equipment: Laboratory for production metrology and TQM.

Assigned hours

Total assigned hours: 65

Active teaching (theoretical)

New material: 40
Elaboration and examples (recapitulation): 10

Active teaching (practical)

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Knowledge test

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 10
Review and grading of the project: 0
Test: 0
Test: 0
Final exam: 5

Knowledge test (100 points total)

Activity during lectures: 0
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 60
Project: 0
Final exam: 40
Requirement for taking the exam (required number of points): 50

Literature

Stojadinovic, M.S, Majstorovic, D.V., Durakbasa, M.N., & Sibalija, V.T (2016). Towards an intelligent approach for CMM inspection planning of prismatic parts. Measurement, 92, 326-339.; Stojadinovic, M.S., Majstorovic, D.V. (2019), An Intelligent Inspection Planning System for Prismatic Parts on CMMs, Springer International Publishing, 978-3-030-12806-7.; Durakbasa, M.N. (2004). Geometrical product specification and verification for the analytical description of technical and non-technical structures, TU Wienna, Austria.; Zhao, F., Brown, R.J., Kramer, T.R., Xu, X. (2011) Information Modeling for Interoperable Dimensional Metrology, Springer-Verlag, London.; Flack, D. (2001). CMM Measurement Strategies, Measurement Good Practice Guide No. 41, National Physical Laboratory, United Kingdom.