Often the simulations do not produce quite the same output as the real component circuits. But even then they can give us an approximate idea what to expect from the real circuit.
Of course, if the simulations are different, it is because we have not taken account of all the involved factors. Therefore, we try again and after a few tries, we get closer to the real results. It is a learning process.
Learning is good, but takes time.
Could we accelerate our learning process by Crowd Sourcing PI simulations? There are a few people on this forum, with lots of knowledge. Others, like myself, are just trying to learn something.
Would the knowing ones teach the students? I hope.
How can we simulate an FE target? Let's take the response of a real target as goal. The infamous bottle top or crown cork. It is a tricky target, because it shows very different characteristics, when presented to the coil at different angles.
In the vertical position, the X response is dominant, but there is still a little R component too.
In the flat position, the R response is dominant, but the x response is still there to some degree.
If we want to find ways to perfectly discriminate this pesky target, we must fully understand the reasons for the different responses.
If we fully understand the reasons, we have a better chance to design a perfect discrimination.
Let's simulate!
Tinkerer
Of course, if the simulations are different, it is because we have not taken account of all the involved factors. Therefore, we try again and after a few tries, we get closer to the real results. It is a learning process.
Learning is good, but takes time.
Could we accelerate our learning process by Crowd Sourcing PI simulations? There are a few people on this forum, with lots of knowledge. Others, like myself, are just trying to learn something.
Would the knowing ones teach the students? I hope.
How can we simulate an FE target? Let's take the response of a real target as goal. The infamous bottle top or crown cork. It is a tricky target, because it shows very different characteristics, when presented to the coil at different angles.
In the vertical position, the X response is dominant, but there is still a little R component too.
In the flat position, the R response is dominant, but the x response is still there to some degree.
If we want to find ways to perfectly discriminate this pesky target, we must fully understand the reasons for the different responses.
If we fully understand the reasons, we have a better chance to design a perfect discrimination.
Let's simulate!
Tinkerer
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