Detecting Liquid Media and Bubbles Using Optical Sensors

In my line of work in Life Sciences, we often deal with liquid media and bubble detection evaluation through a vessel or a tube. This can be done by using the absorption principle or the refraction principle with through-beam-configured optical sensors. These are commonly embedded in medical devices or lab instruments.

This configuration provides strong benefits:

    • Precise sensing
    • Ability to evaluate liquid media
    • Detect multiple events
    • High reliability

How does it work?

The refraction principle is based on the media’s refraction index. It uses an emitted light source (Tx) that is angled to limit the light falling on the receiver (Rx, Figure 1). When the light passes through a liquid, refraction causes the light to focus on the receiver as a beam (known as a “beam-make” configuration). All liquids and common vessel materials (silicon, plastic, glass, etc.) have a known refraction index. These sensors will detect those refraction differences and output a signal.

The absorption principle is preferred when a media’s absorption index is high. First, a beam is established through a vessel or tube (Figure 2). Light sources in the 1500nm range work best for aqueous-based media such as water. As a high absorption index liquid enters the tube, it will block the light (known as a beam-break configuration). The sensor detects this loss of light.

Discrete on-off signals are easily used by a control system. However, by using the actual light value information (commonly analog), more data can be extracted. This is becoming more popular now and can be done with either sensing principle. By using this light-value information, you can differentiate between types of media, measure concentrations, identify multiple objects (e.g., filter in an IV and the media) and much more.

There is a lot to know about through-beam sensors, so please leave a comment below if you have questions on how you can benefit from this technology.

Food for Thought: Should a Fork Sensor be Your First Choice?

When it comes to reliability and accuracy, there is no optical sensing mode better than the through-beam photoelectric sensor. Its reliability is a result of the extraordinary levels of excess gain – the measurement of light energy above the level required for normal sensing. The more excess gain, the more tolerant of dirt, moisture and debris accumulating on the sensor.

Excess gain comparison

The accuracy of through-beams results from a tight, well-defined sensing area. This chart shows a comparison between the popular sensing modes.

When it comes to reliability and accuracy, there is no optical sensing mode better than the through-beam photoelectric sensor. Its reliability is a result of the extraordinary levels of excess gain – the measurement of light energy above the level required for normal sensing. The more excess gain, the more tolerant of dirt, moisture and debris accumulating on the sensor. The accuracy of through-beams results from a tight, well-defined sensing area. This chart shows a comparison between the popular sensing modes.

The sensing area starts with an emitted beam projected onto the receiver. The wider the emitted beam, the easier to align. Once aligned, you now have the effective beam which is basically the size of the emitter and receiver lens. The smaller the lens, the smaller the effective beam. Apertures can also be used to narrow down the effective beam.

Simple detection

A target is detected when it breaks the effective beam. The simple detection principle means these sensors can detect anything, regardless of color, texture, or reflectivity. They are generally used in applications that require a sensing range of 2mm to 100m! The simplicity of their operation and wide range make them a go-to detection solution across industries.

Fork sensor, effective beam_emitted beamTraditional through-beam sensors consist of two separate pieces which must be separately mounted and wired, and perfectly aligned to work. This can be inconvenient and time consuming. But for those applications that can use an opening from 5mm to 220mm, self-contained through-beam sensors, also called fork sensors, provide the usefulness of traditional through-beams without the trouble of alignment. With the emitter and receiver in one housing, they are automatically aligned and require only half the wiring effort.

Light types

Available in four different light types – red light, pinpoint red light, infrared and laser – they can detect even difficult and tiny parts. Red light and pinpoint red light are used for most applications, while laser light is used for small part detection, as small as 0.08 mm. Infrared improves detection efforts in dirty environments.

Through-beam sensors are a go-to solution for photoelectric applications, but with tough housings, various lighting options, and the ease of installation and alignment, fork sensors should be first on your list of photoelectric sensors to consider.

The Right Mix of Products for Recipe-Driven Machine Change Over

The filling of medical vials requires flexible automation equipment that can adapt to different vial sizes, colors and capping types. People are often deployed to make those equipment changes, which is also known as a recipe change. But by nature, people are inconsistent, and that inconsistency will cause errors and delay during change over.

Here’s a simple recipe to deliver consistency through operator-guided/verified recipe change. The following ingredients provide a solid recipe-driven change over:

Incoming Components: Barcode

Fixed mount and hand-held barcode scanners at the point-of-loading ensure correct parts are loaded.

Change Parts: RFID

Any machine part that must be replaced during a changeover can have a simple RFID tag installed. A read head reads the tag in ensure it’s the correct part.

Feed Systems: Position Measurement

Some feed systems require only millimeters of adjustment. Position sensor ensure the feed system is set to the correct recipe and is ready to run.

Conveyors Size Change: Rotary Position Indicator

Guide rails and larger sections are adjusted with the use of hand cranks. Digital position indicators show the intended position based on the recipes. The operators adjust to the desired position and then acknowledgment is sent to the control system.

Vial Detection: Array Sensor

Sensor arrays can capture more information, even with the vial variations. In addition to vial presence detection, the size of the vial and stopper/cap is verified as well. No physical changes are required. The recipe will dictate the sensor values required for the vial type.

Final Inspection: Vision

For label placement and defect detection, vision is the go-to product. The recipe will call up the label parameters to be verified.

Traceability: Vision

Often used in conjunction with final inspection, traceability requires capturing the barcode data from the final vials. There are often multiple 1D and 2D barcodes that must be read. A powerful vision system with a larger field of view is ideal for the changing recipes.

All of these ingredients are best when tied together with IO-Link. This ensures easy implantation with class-leading products. With all these ingredients, it has never been easier to implement operator-guided/verified size change.

Custom Sensors: Let Your Specs Drive the Design

Customized sensors, embedded vision and RFID systems are often requirements for Life Science devices to meet the needs for special detection functions, size constraints and environmental conditions. Customization can dramatically raise costs and you don’t want to pay for stock features, such as an external housings and universal outputs, that are simply not needed. So, it comes down to your specification driving the design. A qualified sensor supplier can create custom orders, allowing your specifications to drive the design, building just what you need and nothing you don’t.

It’s as easy as putting a model together.

The process is fairly straight forward. After reviewing your specifications, the sensor supplier develops a plan to supply a functional prototype for your testing phase. Qualified sensing companies can quickly build prototypes either by starting with a standard product or using standard modules. Both methods have advantages.

Standard Product approach: This is the fastest method to get a prototype up and running. Here, the focus is on providing a solution for the basic sensing/detection application. Once testing confirms the functionally, a custom project is started. The custom project ensures seamless integration into your device. Also, cost control measures can be addressed.

Standard Module approach: This will handle the most demanding applications. When a standard product is not able to meet the basic required functionally, we turn to the base component modules. An ever-growing field of applications are solved by combining options from the hundreds of available modules. While this takes more time, the sensing company can deliver a near final prototype in much less time than if they were creating an internal development.

Qualified sensor companies can easily handle the production side as well. With significant investments in specialized automated manufacturing equipment, production can be scaled to meet varying demands. And as components go obsolete, sustaining engineering projects are routinely handled to maintain availability. This can be disruptive for internal production or contract manufacturers. Sensor companies will take on the responsibility of life-cycle management for years to come. It’s part of their business model.

So, make sure your sensor, embedded vision or RFID supplier has a large model kit to pull from. Your projects will exceed your specification and be completed on time without long-term life-cycle issues.

For more information , visit https://www.balluff.com/en/de/service/services/productbased-service/.

 

Improve Error Proofing with IO-Link and IoT-Enabled Sensors

Though error-proofing sensors and poka yoke have been around for decades, continuing advancements related to the Industrial Internet of Things (IIoT) are making both more accessible and easier to maintain.

Balluff - The IO-Link Revolution!

Designed to eliminate product defects by preventing human errors or correcting them in real time, poka yoke has been a key to a lean manufacturing process since it was first applied to industrial applications in 1960. Today, error proofing relies far less on manual mechanisms and more on IoT-enabled error proofing sensors that connect devices and systems across the shop floor.

IoT is enabling immediate control of error-proofing devices such as sensors. This immediacy guards against error-proofing devices being bypassed, which has been a real problem for many years. Now, if a sensor needs adjustment it can be done remotely. A good example of this is with color sensors. When receiving sub-components from suppliers, colors can shift slightly. If the quality group identifies the color lot as acceptable but the sensor does not, often the color sensor is bypassed to keep production moving until someone can address it, creating a vulnerable situation. By using IoT-enabled sensors, the color sensor can be adjusted remotely at any time or from any location.

The detection of errors has been greatly improved by integrating sensors directly into the processes. This is a major trend in flexible manufacturing where poka yoke devices have to be adjusted on-the-fly based on the specific product version being manufactured. This means that buttons or potentiometers on discrete sensors are not adequate. Sensors must provide true data to the control system or offer a means to program them remotely. They must also connect into the traceability system, so they know the exact product version is being made. Connections like this are rapidly migrating to IO-Link. This technology is driving flexible manufacturing at an accelerated rate.

IO-Link enables sensors to process and produce enriched data sets. This data can then be used to optimize efficiencies in an automated process, increase productivity and minimize errors.

Additionally, the easily expandable architecture built around IO-Link allows for easy integrations of poka yoke and industrial identification devices. By keeping a few IO-Link ports open, future expansion is easy and cost effective. For poka yoke, it is important that the system can be easily expanded and that updates are cost-effective.

Using MicroSpot LEDs for Precise Evaluations in Life Science

Handling microfluidics and evaluating samples based on light is a precise science. And that precision comes from the light source, not the actual detection method. But too many times we see standard LEDs being used in these sensing and evaluation applications. Standard LEDs are typically developed for lighting and illumination applications and require too many ancillary components to achieve a minimum level of acceptability. Fortunately, there is an alternate technology.

First, let’s look at a standard LED. Figure 1 shows a typical red LED. You can see the light emission surface is cluttered with the anode pad (square in the middle) and its bond wire. These elements are fine for applications like long-range sensing, lighting and indications, but for precise, up-close applications they cause disturbances.

Figure 1: Typical red LED showing the intrusion of the anode and bond wire into the light emission

Most notable is the square hole in the middle of the emission pattern. There are two typical methods to reduce the effect of the hole: lensing and apertures. An aperture essentially restricts the emitted light to a corner of the die, substantially reducing the light energy causing difficulties with low-contrast detections. Using a lens only will maintain the light energy, but the beam will have a fixed focused point that is not acceptable for many applications. But even the bond wire produces reflections and causes spurious emissions. These cannot be tolerated with microfluidics as adjacent channels will become involved in the measurement. An additional aperture is typically used to suppress the spurious emissions.

Fortunately, there is an alternative with MicroSpot LEDs. Basically, the anode and emission areas are inverted as shown in the Figure 2 comparison.

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Figure 2: Comparison of the typical LED with the MicroSpot’s clean, powerful and collimated emission

This eliminates the need for the anode and bond wire to interfere with the emitted light. This produces a clean, powerful and collimated emission that will produce consistent results without additional components. This level of beam control is typically reserved for lasers. However, lasers also require more components, are much larger and cost more. The MicroSpot LED is the best choice for demanding life science applications.

Try the MicroSpot for yourself in select Balluff MICROmote miniature photoelectric sensors.

Learn more at www.balluff.com.

Improve Your Feeder Bowl System (and Other Standard Equipment) with IO-Link

One of the most common devices used in manufacturing is the tried and true feeder bowl system. Used for decades, feeder bowls take bulk parts, orients them correctly and then feeds them to the next operation, usually a pick-and-place robot. It can be an effective device, but far too often, the feeder bowl can be a source of cycle-time slowdowns. Alerts are commonly used to signal when a feed problem is occurring but lack the exact cause of the slow down.

feeder bowl

A feed system’s feed rate can be reduced my many factors. Some of these include:

  • Operators slow to add parts to the bowl or hopper
  • Hopper slow to feed the bowl
  • Speeds set incorrectly on hopper, bowl or feed track
  • Part tolerance drift or feeder tooling out of adjustment

With today’s Smart IO-Link sensors incorporating counting and timing functions, most of the slow-down factors can be easily seen through an IIoT connection. Sensors can now time how long critical functions take. As the times drift from ideal, this information can be collected and communicated upstream.

A common example of a feed system slow-down is a slow hopper feed to the bowl. When using Smart IO-Link sensors, operators can see specifically that the hopper feed time is too long. The sensor indicates a problem with the hopper but not the bowl or feed tracks. Without IO-Link, operators would simply be told the overall feed system is slow and not see the real problem. This example is also true for the hopper in-feed (potential operator problem), feed track speed and overall performance. All critical operations are now visible and known to all.

For examples of Balluff’s smart IO-Link sensors, check out our ADCAP sensor.

Stacklights deliver versatile multi-status indication in real time

With advanced communication technology, stacklights can provide valuable information to operators and floor managers.

Rainer3It’s a new world for real-time, point-of-use information. Stacklights and indicators can provide much more feedback to operators and plant floor managers than ever before.

Using colored lights, stacklights can convey a wide range of information. While red, yellow, green and blue are the standard stacklight colors, a variety of other colors can be used to indicate specific conditions and needs.  It is important to develop a communication plan to clearly identifies what each color and flashing pattern represents.

Figure 1

Color overload can be a problem if not planned out properly. The best planning utilizes a dual color approach where colors are defined by personnel responsible and machine/process status at the point of use. An example would be yellow/blue indication wherein yellow = process slowdown and blue = line supervisor is responsible. This responsibility is clearly on the line supervisor to fix the slowdown at the point of indication. Flashing multiple colors is one method to dual color indication, but that has proven to be confusing. A much more intuitive approach is to segment the indicators based on your communication plan. Even small, point-of-use indicators can be segmented to exceed your goals.

OwnerWe have also seen customers mixing their own colors to achieve a level of differentiation. This differentiation could be simple appearance preference or adherence to their corporate color identity. All very achievable with the new class of smart, LED based stacklights and indicators.

By providing continuously variable information, also referred to as analog information, stacklights can be used to indicate current level status in tanks, hoppers, feeders, flow racks and so on. Continuously variable information is also ideal to use in pacing for operators in manual assembly areas. They can quickly see how much time each individual person has for their process step. If someone is struggling, others can visibly see the situation and step in and help.

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Another popular use is simply displaying that the machine is in idle state, like the spinning icon on computers. This would typically suspend all other forms of indication.  Basically, it indicates the machine is not ready. The color indicators can be used as part of a communication plan to indicate the reason for the idle time and call for specific personnel to respond. As soon as the machine is ready, the indicators and stacklights revert to normal operations, just like your computer.

Stacklights can additionally provide operational status such as flow rates, pressure values and process speed.

To learn more about stacklights and indicators, visit www.balluff.com.

Collaborative Automation…It’s Not Just for Robots

Manufacturing is made up of hundreds of discrete operations. Some are repetitive, while others are more diverse. Repetitive tasks are ideal for automation while diverse tasks require more flexibility. And while automation can be extremely flexible, that comes with a high initial investment costs and significant deployment time. The alternative? People!

Humans have the unrivaled ability to adapt to a diverse and flexible manufacturing environment. They can be productive relatively quickly with proper guidance without high initial cost investments.

But as we all know, “to err is human” and this is one of the biggest issues with manual operations. People need a little guidance from time to time. Collaboration is not just for robots; It’s for complete automation systems as well.

Collaborative automation is most important at the point-of-use, where humans are performing critical operations. Some of those common operations include:

  • Manual assembly for low volume or highly flexible operations
  • Delivery of raw materials to the point-of-use
  • Kit assembly for down-stream operation
  • Machine setup and change-over
  • Machine maintenance and calibration

All of these functions can be done error-free and with little training by simply guiding people within their current work envelope, also referred to as their point-of-use. This type of a lean function provides hands-free guidance in the form of indication devices connected directly to your automation system allowing workers to stay focused on the task at hand instead of looking elsewhere for instructions.

With the technology of IO-Link, smart indication devices can now show much more information to all the people involved in specific manufacturing tasks. Automation has an immediate and direct connection to the people that are so vital.

For example, in a manually-fed weld-cell, the smart indicators are capable of not only signaling that the part is loaded correctly, but also whether the part is out of alignment (shown here by the red indicator) or that something wrong with one of the automation components such as a stuck pneumatic clamp.

Figure 1
A manually-fed weld-cell with smart indicators is capable of not only signaling that the part is loaded correctly, but also if the part is out of alignment (shown by the red indicator) or that there is something wrong with one of the automation components such as a stuck pneumatic clamp.

Even better, with IIoT technology, trends can be analyzed to determine if the fixture/tool could be optimized for production or to identify common failure points. This all leads to tighter collaboration with operations, maintenance personnel and production supervisors.

A traditional kitting station, sometimes referred to as a supermarket, is another ideal application for smart indicators. Not only can they guide a single operator to the intended part to pull, they can guide multiple operators at the same time.  Also, smart indicators can inform of incorrect pulls, potential bin options (a physically closure bin), directional information, and inventory levels. And again, with IIoT technology, trends can be analyzed to determine proper layout, individual personnel performance and system throughput. The automation system collaborates with operations, forklift drivers and production supervisors.

Regal_v06_01_V3
A traditional kitting station, sometimes referred to as a supermarket, with smart indicators to guide operators to the intended part to pull.

So, take a look and see what a collaborative automation system utilizing smart indicators can do for your manual operations. You might be surprised.

A Smarter SmartLight

Just when you thought the SmartLight was the most flexible Tower Indicator light ever, it gets even more flexible with the addition of a new mode. This new mode is appropriately named “Flexible Mode”. The new Flexible mode enables two new applications: User defined segments and Point-of-use indication.

User Defined Segments

For traditional tower light applications, it’s now Figure 1possible to define the segments as you see fit. It works by taking control of every LED element. Each SmartLight segment is comprised of four LED elements that can be controlled anyway you want (see Figure 1).  For example, with the 3-segment SmartLight, you actually have 12 LED elements that you can organize any way you want. In Figure 2, we only use three LED elements per SmartLight segment, making it a four segment SmartLight. By using two LED elements we create six segments. Figure 3 is even more interesting, in this example we can see the size of the segments are sized by the intended users. Forklift Drivers need a larger light due to the distance and the fact that they are moving. Operators are closer than the forklift drivers, so their segment can be smaller, and maintenance can use the smallest segments because they are closest to the SmartLight when working on the machine.

Point of Use Indication

In these types of applications, the SmartLight is usedSocket Tray App in close proximity, usually within the work envelope of the operators. In the example shown, the SmartLight is used in a socket tray application. The SmartLight indicates to the operator which socket is required for a specific task. Inductive proximity sensors connected to an IO-Link Hub verify the correct socket was pulled. The photo is showing an All-Call (all lights lit). Here you can see the unique LED element grouping only available with the new Flexible mode. Other applications for operator guidance are essentially endless. There are no technical limitations to your creativity.

The Flexible mode is available in all SmartLights with firmware version 3.0 or greater. So go have some fun!

Learn more about the SmartLight at www.balluff.com.