i. Cutting time: Approximately 53.57 seconds.
ii. Material Removal Rate: Approximately 880.65 mm³/s.
iii. Gross power used in the cutting process: Approximately 610.37 Watts.
To determine the cutting time, material removal rate, and gross power used in the cutting process, we need to calculate the following:
i. Cutting time (T):
The cutting time can be calculated by dividing the length of the cut (150 mm) by the feed rate (0.25 mm/rotation) and multiplying it by the number of rotations required to complete the operation. Given that the rotational speed is 336 rotations per minute, we can calculate the cutting time as follows:
T = (Length / Feed Rate) * (1 / Rotational Speed) * 60
T = (150 mm / 0.25 mm/rotation) * (1 / 336 rotations/minute) * 60
T ≈ 53.57 seconds
ii. Material Removal Rate (MRR):
The material removal rate is the volume of material removed per unit time. It can be calculated by multiplying the feed rate by the cutting depth and the cross-sectional area of the cut. The cross-sectional area of the cut can be calculated by subtracting the area of the inner circle from the area of the outer circle. Therefore, the material removal rate can be calculated as follows:
MRR = Feed Rate * Cutting Depth * (π/4) * (Outer Diameter^2 - Inner Diameter^2)
MRR = 0.25 mm/rotation * 2.0 mm * (π/4) * ((100 mm)^2 - (30 mm)^2)
MRR ≈ 880.65 mm³/s
iii. Gross Power (P):
The gross power used in the cutting process can be calculated by multiplying the material removal rate by the specific energy for aluminum and dividing it by the machine mechanical efficiency. Therefore, the gross power can be calculated as follows:
P = (MRR * Specific Energy) / Machine Efficiency
P = (880.65 mm³/s * 0.7 N−m/m³) / 0.85
P ≈ 610.37 Watts
So, the results are:
i. Cutting time: Approximately 53.57 seconds.
ii. Material Removal Rate: Approximately 880.65 mm³/s.
iii. Gross power used in the cutting process: Approximately 610.37 Watts.
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3. Consider a 7-DOF system with mass matrix [M] and stiffness matrix [K]. A friend has discovered three vectors V₁, V₂ and V3 such that VT[M]V₁ = 0 VT[K]V₁ = 0 forij. Has your friend found 3 eigenvectors of the system? Do you need any more information? What else can you tell your friend about these vectors?
Yes, your friend has found 3 eigenvectors of the system. An eigenvector is a vector that, when multiplied by a matrix, produces a scalar multiple of itself.
In this case, the vectors V₁, V₂, and V₃ are eigenvectors of the system because, when multiplied by the mass matrix [M] or the stiffness matrix [K], they produce a scalar multiple of themselves.
I do not need any more information to confirm that your friend has found 3 eigenvectors. However, I can tell your friend a few things about these vectors. First, they are all orthogonal to each other. This means that, when multiplied together, they produce a vector of all zeros. Second, they are all of unit length. This means that their magnitude is equal to 1.
These properties are important because they allow us to use eigenvectors to simplify the analysis of a system. For example, we can use eigenvectors to diagonalize a matrix, which makes it much easier to solve for the eigenvalues of the system.
Here are some additional details about eigenvectors and eigenvalues:
An eigenvector of a matrix is a vector that, when multiplied by the matrix, produces a scalar multiple of itself.
The eigenvalue of a matrix is a scalar that, when multiplied by an eigenvector of the matrix, produces the original vector.
The eigenvectors of a matrix are orthogonal to each other.
The eigenvectors of a matrix are all of unit length.
Eigenvectors and eigenvalues can be used to simplify the analysis of a system.
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