Mathematical Modeling of Effects of Various Factors on Uncertainty of Measurement in Material Testing


In case of material testing, the result of a measurement is only an approximation to the value of the measurand and is only complete when it is accompanied of the uncertainty. Computing the reported test result is straightforward; however, computing the uncertainty associated with the test result requires more consideration. The uncertainty evaluation process will encompass a number of influences quantities that affect the result obtained for the measurand In order to quantify the uncertainty we will have to consider all the factors that could influence the results. Material testing measurement process is always doubtful about the value of quantity to be measured which provides the basis for safe working of mechanical components during their operations therefore, Therefore Measurement professionals need to be explain to their clients the value of their work including its limitations.

In this paper a methodology is developed for determining the result of measurement concerning the area of material testing and their respective uncertainties. Such methodology, which has a possible systematic application, is associated with guarantee of metrological reliability to the results of measurement in material testing, as well as the possibility of implementation in industrial laboratories, and in the Testing Laboratory Network. With this a mathematical model is developed by using regression analysis to explain the impact of various parameters on the measurement uncertainty and quality of material testing.

  • Abstract
  • Keywords
  • Introduction
  • Nomenclature
  • Results
  • Conclusion
  • Acknowledgments
  • References

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In