SIMIODE resources are here. Use the Browse menu to find Modeling Scenarios and Resources migrated from the old website.

Close

Resources

Modeling Scenario

3-017-StackedCoffeeFiltersFalling-ModelingScenario

Author(s): Brian Winkel

SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

Keywords: data falling body coffee filter stacked ersistance

88 total view(s), 27 download(s)

Abstract

Resource Image Data on free falling 2, 4, 6, and 8 stacked coffee filters is offered. Students form a model using a resistance term proportional to velocity, velocity squared, or velocity to some general power. Parameters need to be estimated and models compared.

Citation

Researchers should cite this work as follows:

Article Context

Resource Type
Differential Equation Type
Qualitative Analysis
Application Area
Course Level
Lesson Length
Technology
Approach
Pedagogical Approaches
Vision and Change Core Competencies - Ability
Bloom's Cognitive Level

Description

Data on several sets of stacked coffee filters falling is presented. The stacks contain 2, 4, 6, and 8 coffee filters.

This is part of a larger set of data and videos offered by the Doane College (Crete NB USA), Department of Physics. We enclose the data with additional information in the Excel file 3-017-S-Excel-StackedCoffeeFiltersFalling-StudentVersion.xls.

Using the data for the situations (one at a time) offered in 3-017-S-Excel-StackedCoffeeFiltersFalling-StudentVersion.xls estimate the parameters in your model.

Consider the mass of one coffee filter as m and absorb it into the constant for resistance, but note how many filters for each data set, e.g., in first data set the mass of the stack of coffee filters is 2m while in the second data set the mass of the stacked coffee filters is 4m.

Article Files

Authors

Author(s): Brian Winkel

SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

Comments

Comments

There are no comments on this resource.