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The relationship between science and sports is undeniable. In this lab, students design the best inner core of a golf ball possible by varying the composition of a reaction mixture to take advantage of the principles of polymer chemistry.

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The relationship between science and sports is undeniable. Tennis racquets and bicycles are made lighter and stronger by nanotechnology; footballs are inflated to the appropriate pressure (we hope) in accordance with the ideal and simple gas laws; sports drinks are carefully made and studied using analytical chemistry to improve athletic performance; and breathable, comfortable apparel is designed by applying the principles of materials chemistry. In this lab, students design the best inner core of a golf ball possible by varying the composition of a reaction mixture to take advantage of the principles of polymer chemistry. This lab will hone students' experimental design and polymer synthesis skills, but a lower golf score is not guaranteed! Complete for 24 students working in pairs.

Correlation to Next Generation Science Standards (NGSS)

Science & Engineering Practices

Asking questions and defining problems
Planning and carrying out investigations
Analyzing and interpreting data
Constructing explanations and designing solutions
Engaging in argument from evidence
Obtaining, evaluation, and communicating information

Disciplinary Core Ideas

MS-ETS1.A: Defining and Delimiting Engineering Problems
MS-ETS1.C: Optimizing the Design Solution
MS-PS1.A: Structure and Properties of Matter
HS-ETS1.B: Developing Possible Solutions

Crosscutting Concepts

Structure and function
Scale, proportion, and quantity

Performance Expectations

MS-PS1-3. Gather and make sense of information to describe that synthetic materials come from natural resources and impact society.
MS-ETS1-1. Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions.
MS-ETS1-2. Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
MS-ETS1-3. Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success.
MS-ETS1-4. Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.
HS-ETS1-2. Design a solution to a complex real-world problem by breaking it down into smaller, more manageable problems that can be solved through engineering.