346-0907/02 – Engineering Metrology and Quality Management (SMŘK)
| Gurantor department | Department of Machining, Assembly and Engineering Metrology | Credits | 10 |
| Subject guarantor | prof. Ing. Robert Čep, Ph.D. | Subject version guarantor | prof. Ing. Robert Čep, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 2011/2012 | Year of cancellation | |
| Intended for the faculties | FS, HGF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The course focuses on the scientific principles of engineering metrology in the technical and legislative areas. Graduate will be able to independently develop and apply measuring methods, including their evaluation in their scientific work.
Teaching methods
Individual consultations
Summary
The course deals with the importance of metrology in terms of ensuring consistency, accuracy and precision, state, legal and applied metrology. Determination of measurement uncertainties, measuring methods and measuring instruments, variations in size, shape, position, surface roughness. Dimensional circuits and principles of mutual interchangeability. The relationship of engineering metrology and quality - meaning, evaluation methods, characteristics, management systems, tools, security, economy and quality of statistical methods for quality control.
Compulsory literature:
[1] Neuman, H., J.: Industrial Coordinate Metrology. Verlag moderne industrie. Carl Zeiss, D-86895 Landsberg/Lech. Lecn Verl Moderne, 2000.
[2] Graham, T.: Smith. Industrial metrology : surfaces and roundness. London : Springer, 2002.
[3] Humienny, Z., Osanna, P. H., Tamre, M., Weckenmann, L. Blunt., Jakubiec, W.: Geometrical product specifications. Course for Technical Universities, Warszawa, 2001.
[4] Graham T. Smith. Industrial Metrology: Surfaces and Roundness, 2010.
[5] Horst Czichos, Tetsuya Saito and Leslie E. Smith. Springer Handbook of Metrology and Testing, 2011.
Recommended literature:
[1] Ammar Grous. Applied Metrology for Manufacturing Engineering (ISTE), 2011.
[2] BOUCHER M.: The CMM handbook, Revision 4. A CMM Quarterly, 2010.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Student will make research work and at examination will discussion about that and one more theoretical question.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Metrology - meaning, definition, classification. State policy in the quality of metrological security of the state - law, regulations, standards of public administration, accreditation and certification system ensuring consistency, accuracy and precision of measurement and measuring instruments. Clarification of basic concepts and metrological characteristics of measuring instruments.
2. Methodology for determining the uncertainties in measurements and estimation of the actual size of the desired probability. Systematic and random partial and the resulting errors for the correlated and uncorrelated input parameters and the linear functional dependencies. Basic concepts of probability theory and mathematical statistics - probability, types of random variables, distribution functions and probability density, the statistical characteristics of random variables. Estimate of the true parameter value with the desired probability. Methodology for determining the dependence and independence of random variables based on correlation coefficient.
3. Deviations of the actual surface - deviations, variations of geometric shape, relative position, surface roughness - definitions, standards, parameters, measurement methods, special measuring instruments. Statistical dimensional circuits - the determination and calculation of the final member of the linear functional dependence and a simple method of calculation and statistical methods, applications in metrology, the issue of mutual interchangeability and construction. Dimensional theory of circuits with a focus on math
model evaluation of systematic and random variables, application of to calculate the probability dimensional circuits.
4. Quality of products and services - meaning, norms, signs, methods, accreditation and certification system. Systems and quality management subsystems. Strategic quality management - principles, tools. Economics of quality, costs, effects and effectiveness. Quality assurance in pre-production, production and post-production stage. Methods and means of ensuring product quality.
5. Statistical methods for quality control - principles, importance, statistical control and statistical acceptance. Evaluation of production technology in terms of accuracy required by statistical methods. Using computer technology in the processing of measurement results, the parameters in the analysis of random processes, automation and statistical methods of quality control products.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction