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Operation - Omron E3X-NV Manual

Fiber-optic amplifier

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E3X-NV/NVG
H
LIGHT SOURCE COLOR SELECTION
To distinguish two colors, select a light source color that creates a
large difference in the reflection rate between the two colors.
Reflection Rates
Refer to the following table to select the best light source color to dis-
tinguish colors.
Red Light Source
(E3X-NV)
White Red
Green
Black

Operation

H
OUTPUT CIRCUITS
E3X-NV21/NVG21
Teaching indicator
(red/green)
Operation
Stability
indicator
indicator
(green)
(orange)
Main
circuit
H
WITH/WITHOUT-OBJECT TEACHING, NO-OBJECT TEACHING, MAXIMUM SENSITIVITY SETTING
Refer to the following table to select the most suitable sensitivity setting method.
Sensitivity setting method
Typical application
Note:
If the set distance is very short (i.e., 0 to 12 mm for the E32-TC200 and 0 to 4 mm for the E32-DC200), no-object teaching is not possible
due to excessive light. In this case, perform with/without-object teaching.
Green Light Source
(E3X-NVG)
White
Red
Green
Black
Brown
Load
Black
Control
output
Blue
Remote
Pink
teaching input
Maximum sensitivity setting
Detection of the existence of
objects that interrupt light
perfectly
Detection of objects with no
background objects
Colors to be
distinguished
di ti
i h d
White – Red
White – Green
Red – Green
Black – Red
Black – Green
White – Black
Timing Chart
Light-ON
Incident
Interrupted
Operation
ON
indicator
OFF
12 to
(orange)
ON
24 VDC
Output
OFF
transistor
Operates
Load
Releases
(relay)
(Between brown and
black terminals)
No-object teaching
If teaching is impossible by
stopping the movement of
detectable objects
To detect bright or dark objects
by teaching only with background
objects
Elimination of background object influence
E3X-NV/NVG
Light source
Red
Green
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Dark-ON
Incident
Interrupted
Operation
ON
indicator
OFF
(orange)
ON
Output
OFF
transistor
Operates
Load
Releases
(relay)
(Between brown and
black terminals)
With/Without-object teaching
Detection of a slight difference in
reflection
Color discrimination
Background objects with
unstable reflection
Detection of object surface
irregularities
3

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