Answer:
5.6 mm
Explanation:
Given that:
A cylindrical tank is required to contain a:
Gage Pressure P = 560 kPa
Allowable normal stress
= 150 MPa = 150000 Kpa.
The inner diameter of the tank = 3 m
In a closed cylinder there exist both the circumferential stress and the longitudinal stress.
Circumferential stress ![\sigma = \dfrac{pd}{2t}](https://tex.z-dn.net/?f=%5Csigma%20%3D%20%5Cdfrac%7Bpd%7D%7B2t%7D)
Making thickness t the subject; we have
![t = \dfrac{pd}{2* \sigma}](https://tex.z-dn.net/?f=t%20%3D%20%5Cdfrac%7Bpd%7D%7B2%2A%20%5Csigma%7D)
![t = \dfrac{560000*3}{2*150000000}](https://tex.z-dn.net/?f=t%20%3D%20%5Cdfrac%7B560000%2A3%7D%7B2%2A150000000%7D)
t = 0.0056 m
t = 5.6 mm
For longitudinal stress.
![\sigma = \dfrac{pd}{4t}](https://tex.z-dn.net/?f=%5Csigma%20%3D%20%5Cdfrac%7Bpd%7D%7B4t%7D)
![t= \dfrac{pd}{4*\sigma }](https://tex.z-dn.net/?f=t%3D%20%5Cdfrac%7Bpd%7D%7B4%2A%5Csigma%20%7D)
![t = \dfrac{560000*3}{4*150000000}](https://tex.z-dn.net/?f=t%20%3D%20%5Cdfrac%7B560000%2A3%7D%7B4%2A150000000%7D)
t = 0.0028 mm
t = 2.8 mm
From the above circumferential stress and longitudinal stress; the stress with the higher value will be considered ; which is circumferential stress and it's minimum value with the maximum thickness = 5.6 mm
Answer:
24.72 kwh
Explanation:
Electric energy=potential energy=mgz where m is mass, g is acceleration due to gravity and z is the elevation.
Substituting the given values while taking g as 9.81 and dividing by 3600 to convert to per hour we obtain
PE=(108*9.81*84)/3600=24.72 kWh
Historical data is examined for patterns that are then used to make predictions is one of the analysis methods that describe neural computing
What is neural computing?
A neural network is an artificial intelligence technique that instructs computers to analyze data in a manner modeled after the human brain. It is a kind of artificial intelligence technique known as deep learning that makes use of interconnected neurons or nodes in a layered structure to mimic the human brain.
Historical data is nothing but the existing network data which is stored for the predicting in future
In the context of neural networks, the word "pattern" refers to a collection of activations over a group of units (neurons).
Hence to conclude neural netwoks almost describes the patterns
To know more on neural networks follow this link
brainly.com/question/27371893
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