What is heat transfer analysis?

What is heat transfer analysis? The Heat transfer simulation type allows the calculation of the temperature distribution and heat flux in solids under thermal loads (for example, convection and radiation). Both steady-state and transient simulations are supported. What is the most common type of heat exchanger used in the process industries? The shell-and-tube heat exchanger […]

How much load can an I beam support?

How much load can an I beam support? If you have a beam of steel which has a basic permissible bending stress of about 23000 lbs per square inch, by the time you make allowances for the span and the lack of restraint, the actual bending stress that the beam can handle is down to […]

What is free space loss in wireless communication?

What is free space loss in wireless communication? In telecommunication, the free-space path loss (FSPL) is the attenuation of radio energy between the feedpoints of two antennas that results from the combination of the receiving antenna’s capture area plus the obstacle-free, line-of-sight path through free space (usually air). How do you find the path loss […]

What is tech stack example?

What is tech stack example? A technology stack is simply a collection of different technologies that work together for some purpose, usually as a foundation for systems such as websites, mobile apps, and standalone desktop software. One of the best-known examples of a technology stack is LAMP, which is commonly used for websites. What are […]

What is the difference between a thermistor and a thermocouple?

What is the difference between a thermistor and a thermocouple? A thermistor is a thermally sensitive resistor that exhibits a continuous, small, incremental change in resistance correlated to temperature variations. Thermocouples reflect proportional changes in temperature through the varying voltage created between two dissimilar metals electrically bonded together. How do you measure a thermocouple? The […]

What is XOR problem in neural network?

What is XOR problem in neural network? The XOr problem is that we need to build a Neural Network (a perceptron in our case) to produce the truth table related to the XOr logical operator. This is a binary classification problem. Hence, supervised learning is a better way to solve it. Uni layered perceptrons can […]

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