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The Role of Sensors in Error Proofing
The
significant benefits of error proofing both automated and manual assembly
procedures are becoming increasingly evident in all industries. The objectives
are both increased quality and increased productivity. Often increased
productivity comes at the cost of quality. However, with new sensor
technologies, assemblies can be validated and error-proofed automatically
in-process rather than post-process. This saves steps in the manufacturing
process, and eliminates significant costs. High-precision photoelectric sensors,
dimensional gauging sensors, light screens, and camera-based technologies, as
well as manual techniques can be applied to ensure critical product attributes.
And these same techniques can also be used to measure and assess process
variability over time.
Error
proofing is quite different from post-assembly inspection that can result in
potential rework or scrap of parts. The very essence of error proofing is
designing the assembly process in a way that the error or failure cannot occur.
It is both proactive and preventive. Here are six valuable functions that these
sensors perform along with typical application examples.
Part
Presence/Position.
Verifying
that a critical part is in place and in the correct position before the next
step in the process is a common requirement. Photoelectric sensors can easily
achieve this objective with the latest models able to detect even the smallest
and narrowest edges of parts. In the illustration, the two sensors can form a
convergent point a mere one-hundredth of an inch to accurately detect the edges
of semiconductor wafers. In this example the sensors not only verify the
presence of the wafer, but also can detect if the wafer is skewed in the
cassette.
Short
Range Measurement.
With
the advancement of sensing technology in the last several years, users are now
able to integrate cost effective measuring capabilities into their processes
with resolution as high as 0.0001 inch. Parts can be automatically inspected for
critical attributes prior to the next manufacturing step. In the illustration,
laser sensors are checking a cast wheel rotating in a fixture to assure that
there are no voids or excessive run-out prior to machining.
Long
Range Measurement.
New,
long range sensors can look inside a machine or process where a shorter range
sensor will not fit or survive, or is intrusive to the process. Ranges are now
available for inspecting at any distance from one to 164 feet with repeatable
accuracy of 0.04 to 0.12 inches. This capability opens up thousands of new
inspection applications. The illustration shows a single sensor measuring the
range of motion of an automotive seat back to verify it is able to adjust in
three angles of recline, without regard to seat material, color or texture.
Light
screen part profiling.
Many
parts or assemblies cannot be inspected with traditional single-beam sensors.
Oftentimes the user needs to determine if any one or more of several parts are
in the proper position on an assembly. A light screen system can profile an
entire part for missing or misplaced components. In the example, a light screen
is inspecting the surface a cylinder head to make certain that all valves are
seated in the head in an automated assembly process.
Image
recognition.
Oftentimes
an entire product area must be inspected because the flaw could be anywhere in
the defined area. Image sensors are designed to easily solve these applications
with a camera that counts pixels and then compares the count to a pre-determined
reference count. In the application example, the sensor inspects a plastic
steering column component for irregularities in a flange area, and rejects parts
that register 80% or less white pixels, compared to a good part.
Manual bin pick verification.
The
accuracy of humans in sequential manual assembly is also a huge issue in error
proofing. PLC-controlled "picking" systems use lights indicating which item
to pick next, and a light screen in front of each bin to verify that the correct
part has been taken. These
systems increase quality percentages for assembly operations by reducing missed
parts, and parts assembled in the wrong order. Along
with error-proofing the assembly process, they also increase worker efficiency
by verifying at all times where an assembler last left off during the assembly
process, even after a break or work-stoppage. This totally visual communication
system is also a worldwide solution that eliminates training obstacles such as
language barriers, and technical ability. The illustration shows a warehouse
application.
In
today's marketplace, it is not good enough to simply make parts. Manufacturers
and customers demand high quality that is measurable and verifiable, for each
and every part or assembly. Error proofing reduces the
time spent on quality inspections and rework, in addition to lowering the reject
and scrap percentages. This adds up to reduced manufacturing costs and higher
plant profitability. Manufacturers are now able to optimize their
production speeds and produce quality products faster than ever before.
This article is provided by Banner Engineering and written by Michael Dean, Technical Marketing Manager, Banner Engineering Corp. For more information please visit their website at http://www.bannerengineering.com.