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Consider a coordinate system with origin in the center of the mastering circle and one measuring device positioned at X0, Y0 (unknowns) sending a beam with a slope S (also unknown). The equation of the beam is:
(1) y-Y0 = S*(x-X0)
The intersection of this line with the mastering circle x2 + y2 = R12 can be found by solving
(2) x2 + (s*(x-X0) + Y0)2 = R12
And then finding y from equation [1]. This will give you a formula with 3 unknowns (X0, Y0 and S) for the intersection point (Xi, Yi)
Distance between the intersection point (Xi, Yi) and (X0, Y0) is given by:
d12 = (Xi-X0)2 + (Yi-Y0)2
You need 3 such equations, from 3 mastering circles to solve the 3 unknowns. Note that solution for each sensor is independent of the other sensors.
It's a bit early in the morning for me but the basic outline should work.
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It should be in 3D - x and y are not enough to position the devices...
"The only place where Success comes before Work is in the dictionary." Vidal Sassoon, 1928 - 2012
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Not sure why you think it is 3D. The OP talked about 2D and his diagram is 2D.
In 3D the problem cannot be solved with only 3 measurements.
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Look for my questions... The devices are not in the same plain as the circle to measure... Or so I understood...
"The only place where Success comes before Work is in the dictionary." Vidal Sassoon, 1928 - 2012
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Joan M wrote: Given the difference between r1-r2 and m2-m1 could I find the angle in which the measuring device is mounted?
Yes.
"It is easy to decipher extraterrestrial signals after deciphering Javascript and VB6 themselves.", ISanti[ ^]
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A little clarification is needed. If m1 and m2 are the distances from the sensor to points on the circles then you have a triangle with three known distances so you should be able to solve for the angles between each leg of the triangle.
Is there more to this or am I missing something?
"They have a consciousness, they have a life, they have a soul! Damn you! Let the rabbits wear glasses! Save our brothers! Can I get an amen?"
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Sensors measure along the red lines in the drawing.
m1 is the distance from the sensor to the first master part.
m2 is the distance from the sensor to the second master part.
If I have 2 master parts, I'll have 2 measures from each sensor.
But I don't know the real position/orientation of any sensor...
Thank you very much Rick.
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You should be able to know the real positions of the sensors. I think you have to in this case. If they are fixed in space then you should be able to determine their locations. If they are moved into place by a mechanism then you should know where they were moved to. If they are moved into position manually then this whole thing seems rather pointless.
I have done this kind of thing for a living over many years and it's really not that hard when you have all of the information. It seems to me that you do not have enough information and it appears you will have to define some constraints to be able to acquire that information. I used to have these battles with the MEs who design systems all the time. Now they have learned what data they have to provide and they do so or I/we can't do our jobs.
"They have a consciousness, they have a life, they have a soul! Damn you! Let the rabbits wear glasses! Save our brothers! Can I get an amen?"
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Rick York wrote: You should be able to know the real positions of the sensors
Amen to that... but I'm afraid the problem here (having to read micrometers) is that even the mechanical engineers want to place the sensors correctly they can't.
I've proposed to use a metrology device to find where the devices are placed, but it seems they can have mechanical issues and maintenances that make this approach unusable.
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I went ahead and did the math. You can check it in this PDF file [^].
You still have some (or a lot of) work to do because you have to solve a system of non-linear equations.
The basic flow is the same as outlined in my previous message:
- Find the intersection between the circle (mastering part) and the measuring line.
- Using also the formula for the distance between 2 points you reduce it to an equation with 5 parameters: x,y coordinates of the sensor, slope of measuring line, radius of mastering part and distance measured by the sensor.
- Each of the mastering parts gives you a new equation and you solve the system of 3 equations for the 3 unknowns: x,y coordinates and slope.
I've tested the formulas with a CAD drawing and they work nicely.
Enjoy!
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Where are the measurements m1 and m2 in your formula?
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They are d1, d2 and d3. It cannot be solved with only 2 measurements. The original post was talking about 3 measurements and then mentions only 2.
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Sorry, my fault...
Yes, we have 3 sensors, and 2 master parts which give 2 readings for each sensor.
Each sensor will give a value for master 1 and another value for master 2.
Master 1 radius and master 2 radius are both known.
Once the sensors are "calibrated" then we can start measuring new parts using the results found.
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THANK YOU VERY MUCH FOR THIS DETAILED EXPLANATION AND FOR THAT DOCUMENT.
I'll put a CAD software to work and I'll try to apply those calculations.
Thanks again!
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Glad you liked it! I had good fun trying to solve your problem. Just a few notes:
- As I said before, if you have only 2 calibration disks you cannot solve the problem unless you have some other constraint.
- You need a solver for non-linear system of equations. Depending on the language you use you might find a good one or a not so good one. For C I'd start with that good workhorse: "Numerical Recipes in C" (see chapter 9.6 page 386).
You can contact me if you have more questions.
Cheers,
Mircea
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If your circular parts were actually eccentric (i.e. cams) you'd detect different peaks and troughs as the centre rotates, which would give you an insight into the radial distribution of the measuring devices?
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Parts must be 100% circular.
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This seems very simple unless I'm not understanding the question?
BTW... your either saying circumference when you're actually meaning diameter, or you need to find the diameter from the circumference C=D*PI
All you're asking for is the angle of each measuring device vector relative to the center of the cylinders, "NOT" the position of the measuring device.
It becomes a simple triangle problem... so what do you know?
You know the lengths of all 3 sides of each triangle (one for each sensor).
1.) The first two are the radii of the cylinders, you know this ahead of time (diameter/2)
2.) The third length is the difference between the 2 measurements from the individual sensor
Knowing the three lengths, and being unconcerned with orientation/position you simply trig out the 3 angles of the triangle.
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I need to get a precise measure of the sensors and after reading the values I need to find the radius of the part.
Sensors are placed around the part.
But I can't know in advance the real position of the sensors neither the real angle they are.
Sensors are outside of the part.
Even the part measures 50 mm the sensor measure only 10 mm.
I need a precision of micrometers in the reading, therefore finding the position/orientation of the sensors is important to be able to measure new parts.
The orientation of the 3 sensors could even not make a triangle at all... (i.e. 2 sensors perfectly aligned).
I fail to see it simple...
Could you explain/develop your idea please?
PS: I really wish you are right. ![Beer | [beer]](https://codeproject.global.ssl.fastly.net/script/Forums/Images/beer.gif)
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Please clarify your question... you had said you have mastering parts of known diameters.
If this is the case then yes getting the angle is simple if your looking for the angle between the sensor direction and the center of the object.
You can find this angle for each sensor, but you can never know anything about where the sensor is positioned around the objects being measured without another point of reference.
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Joan,
1. It looks like a 3-d problem to me.
2. Can you measure the distances sensor-to-sensor?
3. Do you get shortest distance sensor to target or distance "at this angle" ( which I don't know that well )
4. Can you move the target in a known pattern?
5. Remember that you need one more equations than unknowns.
I think this works with 4 sensors, being able to get sensor to sensor distances, being able to read
shortest distance sensor to target, and a sphere.
On second thought, IF you can trust being in plane, then for each sensor, you have 2 distances. Knowing the 2 diameters, you have the distance to center, and the angle of incidence. IF you know the distance between sensors, you can get relative position for target axis and sensor "array". Then you could check x-y motion for accuracy and squareness.
Of course you don't know "where you are" wrt to anything else, or at what angles.
dave
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1. Maybe it is... They have told me mechanically they can put the senors in the same plane than the parts.
2. No, I can't. I need too much precision. And I would need a metrology machine to check that... something the customer doesn't want. They are interested on a solution that could survive a mechanical maintenance.
3. Sensors only read the distance between the sensor to the part.
4. No, the precision I need is 3 micro meters... Really don't know how to move that part with that precision.
I really hope the mechanical engineers will be capable to put all the sensors in the same plane than the part itself, if this is not happening, then I'm afraid the solution will be much more harder.
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Hi, You get good distance measurement ( I expect worse case error to be less than double the sensors if you don't have an angle ( beam to cl ) over 45deg. _that's a guess_ ).
Note, ( don't know scale ) at 3 uM, you're in the breath on it and it moves range.
You have a known 2 diameters "perfect" standard, you want to measure part diameter but part to measure may not be exactly located.
Try - draw this and check, I didn't - place your standard. Take 3 measurements, think about 3 arcs from the standards axis, move your standard, repeat, you have 8 unknowns ( x,y for each sensor, x,y for the standard ) and 3 measurements for the first location, 10 unknowns, 6 measurements for the second, 12 and 9, 3rd, 14 and 12 4th, 16 and 15 5th, 18 and 18 6th, at 17 you get a solution. Note that the error bars could be horrible depending on the setup. I suspect that placing the sensors in an approximately equilateral triangle helps, adding a 4th sensor should help, adding measurements will, I'd try a 3 x 3 grid of "target" points that covered most of the between sensor area.
But you will have to work on error analysis and see.
Have fun!
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If the problem is a 2D one, then the angle can be computed using this equation:
cos(alpha) = (r1-r2)/(m2-m1)
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