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The Use Of Numerical Regression Analysis In Modeling Various Types Of Experimental Friction

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Conference

2002 Annual Conference

Location

Montreal, Canada

Publication Date

June 16, 2002

Start Date

June 16, 2002

End Date

June 19, 2002

ISSN

2153-5965

Conference Session

To Design and Conduct Experiments

Page Count

13

Page Numbers

7.1194.1 - 7.1194.13

DOI

10.18260/1-2--10664

Permanent URL

https://peer.asee.org/10664

Download Count

649

Paper Authors

author page

Scott Morton

author page

John Nydahl

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Nancy Peck

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

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Session 2666

The Use of Numerical Regression Analysis in Modeling Various Types of Experimental Friction

John Nydahl, Nancy Peck, and Scott Morton Department of Mechanical Engineering, University of Wyoming

Abstract

Modeling is vital to engineering, yet students have difficulty understanding and appreciating the concept. This paper describes a series of dynamic experiments that utilizes a rotating disk to reinforce concepts involved in creating an empirical model. These experiments have many positive pedagogical attributes. The apparatus is simple, plus the required mass, length and time measurements are not difficult to make with simple instruments. The equipment is inexpensive and portable for both classroom and laboratory use. The experiments range from simple moment of inertia concepts to the testing of more complex friction models and may be easily modified to vary the results. The disk is an appropriate system for sophomore level students to analyze, since the solution of its angular momentum differential equation results in a simple angular displacement versus time relationship, q(t), even though the frictional model is non-linear, varying with the angular velocity w raised to some unknown power. This permits superior results since the q vs. t data set can be accurately determined over the range of angular velocities using an ordinary stopwatch. The drag devices generate kinetic friction ( Fm µ constant), eddy current friction (Fm µ w) and aerodynamic friction (Fm µ w2). Trend lines that undergraduates typically use to correlate data are inappropriate here because none have the proper functional form. Excel is utilized because a) it is a natural platform to record and manipulate experimental data, b) its Solver package permits an iterative nonlinear regression analysis to determine the unknown empirical coefficients by minimizing the error between experimental and model predictions, and c) Visual Basic function modules may be utilized to calculate the empirical model values. The discovery-based experiments, run as coupled or independent experiments, may also be utilized as demonstrations since the empirical results are in excellent agreement with accepted physical models. Further, the exceptional agreement obtained between the general empirical model results and the various friction laws allows students to deduce specific relationships from more general relationships.

I. Introduction

Lower division students often blindly accept authority-given knowledge and then try to regurgitate and/or apply this information without regard to the implicit assumptions and limitations. An implied goal of any higher learning institution is to move learners from naiveté to a questioning and critical thinking state 1. This situation is particularly acute when students are asked to integrate material from different courses 1,2 in discovery-based laboratory exercises, since the bulk of entering engineering students lack laboratory experiences. Consequently, many educators are stressing the need for hands-on teaching of fundamentals3-9. Over the past ten Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Education

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Morton, S., & Nydahl, J., & Peck, N. (2002, June), The Use Of Numerical Regression Analysis In Modeling Various Types Of Experimental Friction Paper presented at 2002 Annual Conference, Montreal, Canada. 10.18260/1-2--10664

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