What is the Symbolic Solution to the Acceleration Problem of Two Blocks?

In summary, the correct system equations for calculating the acceleration of the two boxes are Fcos(x)-(m1+m2)g*(coeff)=(m1+m2)a and F(normal)-(m1+m2)g=0. However, the second equation is incorrect and should be Fn = (m1 + m2)*g + F*sinθ. This means that Ffr = μk*((m1 + m2)*g + F*sinθ). The correct equation for calculating the acceleration is (Fcos(x)/(m1+m2))-g(coeff)=a.
  • #1
rey242
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Homework Statement


When force F(force is at an angle Theda) is not too large, box m1(smaller top box) moves with box m2(bigger bottom box) without sliding. Find the magnitude of the acceleration of the two blocks.(see attachment)



Homework Equations


F=ma


The Attempt at a Solution


This is from a test that I took and I just wanted to make sure to see if I really did this wrong. The test is all symbolic, by the way.
Fcos(x)-F(friction kinetic)=(m1+m2)a (this is the system equation for the right-left direction)
F(normal)-(m1+m2)g=0 (this is the system equation for the up-down direction)
F(friction kinetic)=F(normal)*(coefficient of kinetic friction)

In order to figure out the acceleration, I got acceleration by itself and plugged in the 3rd equation into F(friction) in the first equation.
Fcos(x)-F(normal)*(coeff.)=(m1+m2)a

Then I used the second equation and replace the force normal:

Fcos(x)-(m1+m2)g*(coeff)=(m1+m2)a

Then after some math, I got this:

Fcos(x)=(m1+m2)a+(m1+m2)g(coeff)
(Fcos(x)/(m1+m2))=a+g(coeff)
(Fcos(x)/(m1+m2))-g(coeff)=a

So can anyone double check this to see if this works out or if the professor is right and this is totally wrong?
Figure1.jpg
 
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  • #2
F(normal)-(m1+m2)g=0 (this is the system equation for the up-down direction)

This equation is not correct. If should be ...

Fn = (m1 + m2)*g + F*sinθ

Which means that

Ffr = μk*((m1 + m2)*g + F*sinθ)

etc.
 
  • #3
oh wow that explains a lot thanks!
 

FAQ: What is the Symbolic Solution to the Acceleration Problem of Two Blocks?

What is the Symbolic Acceleration Problem?

The Symbolic Acceleration Problem is a concept in the field of artificial intelligence and computer science. It refers to the challenge of designing algorithms and systems that are capable of efficiently processing and manipulating symbolic data, such as text, images, and other forms of non-numerical data.

What are some potential applications of solving the Symbolic Acceleration Problem?

The ability to efficiently process and manipulate symbolic data has numerous potential applications, including natural language processing, image and pattern recognition, automated reasoning, and knowledge representation.

What are the main challenges in solving the Symbolic Acceleration Problem?

One of the main challenges in solving the Symbolic Acceleration Problem is the complexity of symbolic data and the need for algorithms and systems that can effectively handle this complexity. Another challenge is the lack of clear and consistent rules for manipulating symbolic data, as opposed to numerical data which can be easily processed using mathematical equations.

How is the Symbolic Acceleration Problem being addressed?

Researchers are addressing the Symbolic Acceleration Problem through various methods such as developing new algorithms and data structures specifically designed for symbolic data, using machine learning techniques to improve the efficiency of processing symbolic data, and creating hybrid systems that combine traditional symbolic processing with numerical methods.

What are the potential implications of solving the Symbolic Acceleration Problem?

If the Symbolic Acceleration Problem is successfully solved, it could lead to significant advancements in artificial intelligence and machine learning, allowing for more accurate and efficient processing of complex data. This could also have practical applications in various industries, such as healthcare, finance, and education.

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