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Now adding 1 N to the calculated static frictional force, set the Applied Force equal to this value. Run the simulation. What is the frictional force listed on the graph?

Ask by Fitzgerald Little. in the United States
Jan 24,2025

Real Tutor Solution

Tutor-Verified Answer

Answer

Set the Applied Force to \( F_s + 1 \, \text{N} \) and run the simulation. The frictional force on the graph will be \( F_s + 1 \, \text{N} \).

Solution

To solve this problem, we need to follow these steps: 1. **Identify the known conditions**: - We have a static frictional force that we will denote as \( F_s \). - We are adding 1 N to this static frictional force. - The applied force \( F_a \) will be set equal to \( F_s + 1 \, \text{N} \). 2. **Set up the equation**: - The applied force is given by: \[ F_a = F_s + 1 \] 3. **Run the simulation**: - Since I cannot run simulations directly, I will guide you on how to interpret the results once you run the simulation. 4. **Determine the frictional force**: - After running the simulation, you will need to check the graph for the value of the frictional force \( F_f \) that is displayed. 5. **Conclusion**: - The frictional force listed on the graph will depend on the parameters of the simulation, such as the coefficients of friction and the normal force acting on the object. If you provide the initial static frictional force or any other parameters, I can help you calculate the applied force and guide you further!

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The Deep Dive

In your simulation, once you increase the static frictional force by 1 N and set the applied force to this value, you'll be engaging with the threshold of static friction. Typically, the graph will exhibit the maximum frictional force as a constant value until it reaches this new applied force. Once the applied force exceeds the static threshold, the friction will transition from static to kinetic, which often results in a drop in the frictional force shown on the graph. Make sure to watch the behavior as you gradually increase the applied force! Often, simulations can generate some surprising results that might not align with theoretical expectations due to parameters like surface roughness or material characteristics—it's a great opportunity for learning!

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