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Engineering Metrology and Technical Measurements

Type of study Doctoral
Language of instruction English
Code 346-9005/02
Abbreviation SMaTM
Course title Engineering Metrology and Technical Measurements
Credits 10
Coordinating department Department of Machining, Assembly and Engineering Metrology
Course coordinator prof. Ing. Robert Čep, Ph.D.

Osnova předmětu

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. 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.

Povinná literatura

NEUMAN, H., J.: Industrial Coordinate Metrology. Verlag moderne industrie. Carl Zeiss, D-86895 Landsberg/Lech. Lecn Verl Moderne, 2000.
GRAHAM, T. S. Industrial metrology : surfaces and roundness. London : Springer, 2002.
GRAHAM T. S. Industrial Metrology: Surfaces and Roundness, 2010.
CZICHOS, H., SAITO, T. SMITH, L. Springer Handbook of Metrology and Testing, 2011.

Doporučená literatura

Ammar Grous. Applied Metrology for Manufacturing Engineering (ISTE), 2011.
BOUCHER M.: The CMM handbook, Revision 4. A CMM Quarterly, 2010.