June 12, 2005
June 12, 2005
June 15, 2005
10.1350.1 - 10.1350.30
Torsional Strength of Steel Machine Screws
Harvey Abramowitz and Laura Elliott
Department of Mechanical Engineering Purdue University Calumet Hammond, IN 46323
An experiment that measures the torsional strength of metallic screws is described. The major objective is to use this experiment as the vehicle for students to gain an understanding of some basic statistical methods for analyzing data.
Students majoring in Mechanical Engineering take a course in experimental methods during their junior year. This course includes some statistical methods for analyzing data, utilizing a well known text.1 However, it has been generally found that a senior student has forgotten much of those techniques. In an effort to reinforce and solidify the learning of these methods, an experiment was devised that uses torsion testing of metallic screws as the vehicle for understanding and, hopefully, remembering some basic techniques of data analysis. In addition, the students learn something about product testing and the variability of real commercial products.
The specific objectives are: 1. To introduce statistical techniques for evaluating and comparing the means and variances of different samples. a) To determine the mean of a sample. b) To determine the standard deviation of a sample. c) To determine if a sample property is normally distributed. 1) To construct histograms. 2) To construct quantile plots. 3) To construct normal probability plots. d) To determine confidence intervals. e) To determine if the variances are different for two samples, using the F test. f) To determine if the means are the same for two different samples, using the Student t test.
“Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright@2005 American Society for Engineering Education”
Abramowitz, H. (2005, June), Torsional Strength Of Steel Machine Screws Paper presented at 2005 Annual Conference, Portland, Oregon. https://peer.asee.org/14601
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