Teaching Measurement Uncertainty In A Mechanical Engineering Technology Laboratory
Author(s) -
Maurice Bluestein
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--6326
Subject(s) - measurement uncertainty , computer science , session (web analytics) , instrumentation (computer programming) , process (computing) , propagation of uncertainty , industrial engineering , set (abstract data type) , data collection , uncertainty analysis , work (physics) , simulation , mechanical engineering , engineering , statistics , mathematics , algorithm , world wide web , programming language , operating system
In preparing students for careers in mechanical engineering technology, we have recognized that many of our graduates are hired into industrial positions involving performance and test. These positions involve setting up experiments and making mechanical measurements. Modem methods of data collection utilize measurement uncertainty analysis. We include concepts of measurement uncertainty in our course entitled “Instrumentation” which includes a laboratory segment. One laboratory experiment is utilized to help teach measurement uncertainty and is described in this paper. The experiment utilizes ordinary materials and industrial measurement devices. It shows the students typical sources of uncertainty in measurements. Statistical methods are utilized for both small and large samples. Propagation of measurement uncertainty is also shown as students make length and diameter measurements, determine the uncertainty of those dimensions and utilize the data to determine the uncertainty of a volume calculation. Students exchange data sheets and so have an opportunity for understanding human variation and to work cooperatively on a team project. Lab reports m required and graded by the instructor.
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