predictive maintenance

A New Era: Tracking Quality Digitally

What are advanced management systems and how does deep integrative system management software help automotive heat treaters improve processes while saving on time and unnecessary expenses? Explore the future of software technology for the management of heat treating operations in this Technical Tuesday by Sefi Grossman, founder and CEO of CombustionOS.


The heat treating industry is on the brink of a technological transformation. Just as the momentous adoption of websites and emails transformed the nature of work for manufacturers, the advanced software systems are thrusting us into a new era of simplicity, automation, and deep integrations.

This article explores how advanced systems — an application of ERP (enterprise resource planning) and MES (manufacturing execution systems) combined with the power of AI — is revolutionizing facility operations, enhancing quality, efficiency, and profitability.

What Are Advanced Systems?

Advanced systems simplify, streamline, and automate operations by lifting the data burden off of plant personnel. While most existing systems focus on the part inventory workflow, more advanced systems go beyond by directly integrating into the heat treat process to track at bin/tray/tree level.

This requires real-time scheduling control, barcode scanning, digitizing recipe and process (no more paper), and direct sensor/PLC integration. Because of its critical nature, an advanced system is most likely an on-premise and cloud “hybrid solution” that is not crippled by internet connectivity issues. This allows it to still utilize rapidly evolving cloud systems that provide external services like messaging, big data storage, and AI to name a few.

Precise Processing

Figure 1. CombustionOS developers spend extensive time with operators and plant managers to create interfaces that are intuitive and easy to use. Pictured is access to job data stats from a mobile device being used outside of the manufacturing plant.

Repeatable, accurate methods to ensure optimal time, temperature, and atmosphere of the decided heat treatment processes are possible with advanced systems.

Utilizing existing sensors and hardware interfaces, data is collected in short intervals, transformed into meaningful data formats, and stored in a database. Network technologies such as HTTP, Modbus, and other analog to AI technologies make this possible with minimum additional hardware. The data is managed locally on the facility network, and synchronized with cloud services for further processing, analysis, and long-term history storage.

With a close monitoring of all these variables, facilities can tighten acceptable specification ranges. Deep integration with equipment ensures that data flows seamlessly from sensors and devices to the central system.

This real-time data collection and processing enables facilities to monitor operations continuously and make informed decisions quickly. For example, integrating data from temperature sensors, pressure gauges, and other monitoring devices ensures that all critical parameters are tracked and managed effectively. Additionally, if a temperature reading deviates from the acceptable range, the system can immediately alert the relevant personnel, allowing them to take corrective action before it becomes a critical issue.

 In addition to quality assurance, integrated artificial intelligence tools optimize job scheduling. Unlike traditional date/time calendar methods, AI systems predict job completion times based on real-time process data. This is particularly useful for roller furnace setups, where continuous processing occurs, but it is also beneficial for batch furnaces. Optimized scheduling improves resource allocation and operational efficiency, ensuring that jobs are completed on time and to the required specifications. The difference between a “calculation algorithm” and AI is that, with AI, you do not have to pre-program it. It automatically learns and adjusts for known variability in your hardware and even the personnel that are operating the equipment.

Finally, the automation of these systems captures and records all necessary information accurately. This reduces the risk of non-compliance, improving the overall quality of the final product. For example, a Detroit-based heat treating facility reported that accessing real time data to ensure compliance with industry standards has allowed them to spend 40% less time on documentation tasks.

Figure 2. Having increased control over the process gives more peace of mind to operators that components perform as needed.

Alleviating Burden on Maintenance and Inventory

Predictive maintenance is one of the most significant applications of AI in the heat treating industry. Traditional maintenance schedules are often based on fixed intervals, which can lead to unnecessary downtime or unexpected failures. AI driven predictive maintenance, on the other hand, uses real-time data to determine the optimal times for maintenance activities. This approach not only reduces downtime but also extends the lifespan of equipment.

A Detroit-based heat treating facility implemented an AI-driven predictive maintenance system (PMs) and saw a 25% reduction in equipment downtime. By analyzing data from critical parts, inventory, process tracking history, and various sensors, the AI system could predict when components were likely to fail, allowing the maintenance team to inspect and address issues proactively beyond their standard PMs. This not only improved operational efficiency, but also saved significant costs associated with emergency repairs and unplanned downtime.

Additionally, the integration of QR codes for inventory and process tracking enables quick and accurate data entry compared to manual logging. For instance, when racking parts out of bins, operators can simply scan QR codes, which automatically update the system with the relevant information. This not only speeds up the process but also minimizes the chances of human error.

Reducing Operational Costs

The adoption of advanced ERP and MES systems has led to substantial cost savings for many facilities. These systems reduce operational costs through the implicit automated integrations that technologies like CombustionOS bring. Here are just a few ways that operational costs have been cut:

  • Decreasing shipping and receiving management from three to just one employee
  • Minimizing rework costs by timely process alerts
  • Reducing personnel by replacing constant manual oversight with accurate, digital tracking systems
  • Lowering administrative costs by utilizing a more efficient and accurate invoice automation platform

Case Study: A client reported comprehensive cost savings, including a 20% reduction in shipping and receiving time, fewer logistics and furnace operators needed, a 33% decrease in rework costs, a 15% savings in maintenance costs, and a 25% reduction in accounting overhead. These efficiencies translate into substantial payroll savings and improved profitability.

How To Implement

Figure 3. When racking parts out of bins, operators can simply scan QR codes, which automatically update the system with the relevant information.

One of the most significant advancements in heat treating technology is the deep integration with various equipment types. Unlike traditional ERP systems, which often lack true integration, advanced systems work backwards from equipment data, building ERP functionalities around this integration to ensure seamless and accurate data flow.

First, there are advanced systems that can handle data from both digital and analog sensors. So, for heat treaters who are juggling a variety of sensors and systems, looking for an integrative advanced system that has adaptability will ensure compatibility with existing equipment while keeping an eye on cost. Facilities can continue using their current equipment while benefiting from advanced monitoring and control capabilities.

Second, advanced ERP/MES systems can take collaboration with multiple vendors. Rather than uproot current systems and relationships, work with an advanced systems provider who is able to collaborate with other software and systems. Advanced ERP/MES systems provide comprehensive solutions that include deep equipment integration and full ERP functionalities. This approach reduces the complexity and cost of integration, ensuring that all components work together seamlessly.

Key Applications

Most operations in a heat treat department will benefit from advanced systems due to the time-saving automations that the system integrates. But many heat treaters are looking to adapt and integrate older systems and often more complex designs, like roller hearth furnaces. Here are some steps that experts will take to guide you through to make the digital integration smooth and effective:

  1. First, it is important to understand you don’t need to boil the ocean. Starting with a more advanced inventory tracking system that employs barcodes can set the underpinnings for a more integrated system while providing immediate benefits to your logistics.
  2. Then, it is also key to get a deep understanding of your current process and map out your operational workflow. Using a flowchart program helps
    visualize the process to make sure all stakeholders are on the same page.
  3. Some aspects of your current process are probably outdated (perhaps created by someone who is no longer at the company), while others are key to the core of how you operate. Understanding the difference is crucial to make sure you unlock potential automation without disturbing your core process and flow.
  4. You’ll then need to prepare every required form, document, chart etc. that you use in the operation. For process control, recipes, and lab testing, provide many parts/iterations to capture the complexity.
  5. Finally, take inventory of any existing digital systems you have adopted, like inventory tracking, spreadsheets, or custom software. The existing system
    network, including servers, Wi-Fi setup, and hardware (PCs, printers, scanners, etc.) will be utilized as much as possible in the transition to reduce the need to purchase and set up different equipment.

Conclusion

The future will require constant innovations and thoughtful leveraging of increasingly advanced systems. Unlike static, homegrown, or “pieced together” solutions, the most advanced systems are constantly updated with new features, ensuring they remain at the cutting edge of technology. Engaging directly with plant personnel to understand their needs and challenges allows systems like CombustionOS to evolve and improve continuously.

The heat treating industry is on the cusp of a technological transformation, driven by advancements in ERP, MES, and AI. These technologies offer the potential to enhance quality, efficiency, and profitability, making them essential for the future of manufacturing. By embracing automation, integrating advanced AI capabilities, and committing to continuous innovation, the industry can achieve new levels of operational excellence.

About the Author:

Sefi Grossman
Founder & CEO
CombustionOS
Source: Author

Sefi Grossman has been at the forefront of technology revolutions for the past two decades and has been leading the technology company CombustionOS for nearly seven years.


For more information: Contact Sefi at sefi@combustionos.com.


Find Heat Treating Products And Services When You Search On Heat Treat Buyers Guide.Com

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Heat Treat Radio #65: The Future of Heat Treat, a Conversation with Piotr Zawistowski

Heat Treat Today publisher, Doug Glenn, sat down with heat treating specialist, Piotr Zawistowski, the managing director at SECO/VACUUM, to hear what he believes the future of heat treat holds. Karen Gantzer and Bethany Leone from Heat Treat Today also joined the conversation, recorded at the ASM Heat Treat Show 2021. In this episode, you’ll learn why Piotr believes LPC, automation, and predictive maintenance are the future of heat treat and  how to get there.

Below, you can watch the video, listen to the podcast by clicking on the audio play button, or read an edited transcript.




The following transcript has been edited for your reading enjoyment.

Bethany Leone (BL): Peter first shared how SECO/WARWICK was on a mission to actualize the future of heat treat.

Piotr Zawistowski (PZ):  I think we are on a mission, that is, SECO/WARWICK and I.  I think the future of heat treatment will be LPC for carburizing, and gas quenching for quenching instead of oil.  I think the future is LPC and hydrogen quenching, to be honest.  Right now, most of carburizing is done in a carburizing atmosphere, and most of the quenching, as I know it.  I think that everything is moving in the vacuum direction, if you will, but we're not there yet.  So, that's our mission, in general.

Members of Heat Treat Today sat down with Piotr Zawistowski, managing director of SECO/VACUUM, at the ASM Heat Treat Show 2021.

I think I showed you a graph with what is the difference in quenching between oil and gas.  Right now, with 25 bar quenching, we are on the level of slow oil.  To get there, we have to use helium, but it's expensive, it's not economical.  We can go to hydrogen, which is the speed of oil and it's everywhere, it's cheap.  I think this is the future.

BL: This idea that the future of heat treat will be LPC and gas quenching – specifically with hydrogen – means moving in the vacuum direction, as Peter noted. But how fast will this transition come, especially given safety concerns with the use of hydrogen as a quenchant?

PZ: Exactly, that is the concern right now.  I think it will come, but we are far away from it.  Anyway, we don't have to go to hydrogen immediately, but I think we should go to nitrogen for now.  We have some solutions for that, and on top of that, I think we will go from regular carburizing to LPC.  It's not easy for people to switch, so our mission is for us to try to convince people to switch to LPC.  We would like to make it as easy as possible for them so that's why—maybe 20 years ago—we thought about starting.  Because we had quenching and carburizing, we thought, let's maybe leave quenching the same and start with carburizing.  So, we developed vacuum oil quench furnaces just to make it easier so they only have to change one thing at a time.  But then, we thought, it's a leap for them anyway because those are different oils and it's a vacuum oil.  So, right now, we're introducing a furnace with vacuum carburizing with the regular atmosphere is a quenching chamber in regular oils that all the heat treaters have known for years.

DG:  This is the SuperIQ?

PZ:  This is the SuperIQ.  I don't want to make it commercial, but this is another step.  If you look at our wall here, we have six different products and five of them are for carburizing.  It starts with Vector.  It can have carburizing but it doesn't have to be, but anyway, they all are connected with carburizing.  I think the mission is to convince people and to switch, in the industry, from all the messy dangerous, open-fire furnaces to new, clean, better technology.

Piotr sharing SECO/WARWICK vision for the future of heat treating.

BL: As we just heard, these are big transitions. So, if the first step towards heat treat with LPC is for heat treaters to use atmosphere carburizing with oil quench, what are the next steps to move to a fully vacuum-based future?

PZ:  Step number two is vacuum oil quench and step number three is vacuum carburizing or LPC and high pressure gas quench.  That is the future, in my opinion, and with hydrogen.

BL: As a review, moving to LPC could look like, first, using a traditional vacuum furnace with atmosphere capabilities, then, heat treating with vacuum oil quench, and finally, heat treating with LPC and high pressure gas quench. If such a transition is appealing, it would be good know what the productivity improvements of LPC are. . .

PZ:  So, it depends; there are a couple factors.  First, we have to take into account what kind of a case that we're talking about.  But, in general, I can tell you that the productivity increase should be 50%, or even 100%, or more.

DG:  You can double the amount of product through in the same amount of time?

Piotr walks through challenges to overcome to achieve an LPC and hydrogen heat treat future.

PZ:  Yes.  And, it's just as simple with increasing the temperature, so we are not limited with low pressure carburizing with the temperature, whereas there is a limit that atmosphere carburizing can be done. So, we have a lot of possibilities here.

BL: So, a 50-100% increase in productivity and an increased temperature range comes along with low pressure carburizing, LPC. When considering LPC, there is the question of how traditional specification, which clearly state the necessity of atmosphere carburizing, can be compatible with this newer technology.

PZ:  Yes, and those specs are changing.

DG:  Is that going to be a hindrance?

PZ:  Yes, it is right now, especially in aerospace.  The automotive industry, they moved already to LPC, but aerospace we are trying to help to change those specs, and they are changing as we speak.  A lot of those specs are still from the '80s, and there was no LPC back then.  As you know, in aerospace, it is not easy to change a spec, but this is happening right now, as we speak.

DG:  Are you guys involved with changes from Nadcap and all?

PZ:  Yes, and we are involved in major aerospace players.  We are doing tests for them and we are delivering them LPC furnaces.  Some of them are still doing R&D, but this is a first step.  With some of them, we are starting to see real production with LPC in aerospace, so we are getting there.

BL: To be sure, integrating the technical creation of specs by bringing heat treaters in touch with key end-users in the industry is necessary to have standards reflect effective heat treating techniques. Aside from standards, is there any resistance to adopting low pressure carburizing?

PZ:  I think, people are afraid of what is new: atmospheric carburizing is very simple and it is well known, vacuum carburizing is something different.  So, for atmosphere carburizing, it's only to control the potential in the furnace and time of carburizing.  In vacuum carburizing, it's not that easy- you have to have a special simulator to create a recipe.  People are afraid of it, but they shouldn't be because there is software.  We have software that can make that recipe really easy and pretty quick.  People are just afraid of something new.

SECO/WARWICK's SimVac

We have it [simulator] to create a recipe for LPC for the purpose of carburizing and we actually provide it.  This is our own simulator and we provide it with the equipment so it's very, very easy.

BL: In addition to an aversion to the new and the changes that may be involved, folks have a real concern with distortion. Peter then addressed this concern. . .

PZ:  High pressure gas quenching, in general, is better, but there are other methods.  It is not only us, but we are all trying to limit the distortions; we cannot say “eliminate” because that is impossible, but we can try to limit the distortion and control the distortions.  What we introduced to the market is our 4D quench technology, “fourth” dimension is that we rotate the part during quenching.

BL: While there is resistance that may be from outdated industry specs, a suspicion of the new, or technical concerns which the industry is continually addressing, Peter was sure note that there are, in fact, drivers that are encouraging heat treaters to move towards LPC.

PZ:  I think, the driver is both productivity and safety.  As an example, the [US] Biden administration just committed to reduce CO2 emission by 50% by the end of the decade.  This is good technology and there is a lot of fuel to emission out of atmosphere carburizing, internal and external.  But, there will be a push for climate change and CO2 emission.  I think, it's not only mandates, but, I think, in Europe, for example, they have a lot of grant; there is a lot of government money you can get if you are reducing the CO2 emission.  I think, for the heat treaters, it should be easy to capitalize on it.  As I said, no CO2 emission on LPC.  There is no emission at all.  That is the beauty of the technology.

Kanthal notes the electric shift that is predominantly occurring in Europe

Find this article in the August 2021 digital edition

BL: Certainly, financial incentives to adopt “greener” technologies as well as personal desire to do so would be motivating. Is there anything about the heat treated parts cosmetically that would make LPC attractive?

PZ:  Of course.  And, you don't have to wash it after, which is great.  It depends, as we still can have LPC and oil quench, you have to wash it, but if you can get to the gas quench, you've eliminated the wash part.  They just look nice and shiny and bright.  The color is better and you can eliminate washing.

BL: It is clear that LPC, one of the factors that plays into the future of heat treat as Peter envisions, has challenges and benefits for heat treaters to consider. Peter then talked about two additional factors for the future of heat treat: automation and predictive maintenance.

PZ:  There are two other factors.  One is automation, which is something big and it's more and more especially nowadays with the labor issue.  But, it is to eliminate the human error part of it.  On top of that, it is the traceability of the parts.  More and more customers would like no operators and the machine has to run by itself.  We have that—a full system of equipment.  You just place the basket with parts, or several baskets, and then the robot takes it to the furnace, carburizes, quenches, tempers, washes and then it comes out, completely untouched.  Robots are the automated loader. That is the direction.

Another is predictive maintenance, which is a big deal right now.  By predictive maintenance, I mean that the system has to predict the failures or the downtimes.  A lot of systems, which are available on the market are called “predictive maintenance”, but they are reactive.  For example, they have sensors on the machine and if something breaks, it sends you an email message, or whatever.  Our SECO/PREDICTIVE, which is our predictive maintenance, is based on an algorithm.  The algorithm is written in such a way that the system learns on failures and the more equipment we have connected to it, the more data we have, like everything we have around us right now, all the Googles and Amazons and so on.  I think this is the future, as well.  So, everything has to be connected to one database to predict what will happen before it happens.

DG:  Can you give me an example?  Let's say you've got a high temperature fan inside a vacuum furnace.  How would the SECO/PREDICTIVE or predictive maintenance work on that?

PZ:  I think we would control the vibration on it.  I think that's one way to do it.  And, at a certain level, it would send a signal – "Watch out! - you are about to have a problem".  It is better to do it that way because, then, there is time to order a replacement or schedule something so it will not break.  But, the goal is to predict the failure before it happens.

BL: With thoughts of LPC, automation, and predictive maintenance on our minds, we then walked over to a display of various furnaces to see how SECO/VACUUM applied these insights to their own furnaces. Peter began with the Vector, a versatile high pressure gas quench furnace.

PZ:  This is a single chamber, multipurpose furnace.  It is for LPC carburizing and high pressure gas quenching.  This is the main furnace and, I think, 70% of what we sell. Maybe this is, like 50%.

Then 20% are the vacuum oil quench furnaces.  The vacuum oil quench furnaces heat processing chambers are the same as the Vector but then we can quench it in oil or we can have three chambers that can be continuous production or you can have oil quench on one side and high pressure gas quench on the other side.  We call it CaseMaster Evolution.  This is our middle step.  As I said, our goal is to go for LPC.

But, then, there is another one, the new baby in the family. [Peter then gestures to, what they call, the Super IQ vacuum furnace.]

For people, it was not easy to make a switch, so this is like a hybrid.  The processing chamber is vacuum carburizing but the quenching chamber is like a traditional atmosphere quench.  It is like a pure replacement: you can take one out and put this guy in.  You have all the benefits from low pressure carburizing but you operate mainly like an old and traditional furnace.  This is to make it easier in the transition.

BL: After learning how certain furnace designs can be helpful to heat treaters who have different processing needs or who are trying to convert to LPC, we then moved to see how LPC is being brought to pit-furnace size loads.

PZ:  This is another one, another tool in our mission, I would say.  This is a pit carburizing furnace but with LPC.  Right now, for big, heavy parts, they are carburizing atmosphere in pit furnaces and then they open the furnace and they just transfer it with a crane to an oil tank.  This is basically the same, but the pit furnace is with LPC.  There is nothing like this on the market right now.

We are trying to bring the LPC advantages to big parts and pit-style carburizers, as well.

BL: From LPC for large loads, we ended our tour with an LPC furnace with an interesting way to maintain traceability.​

PZ:  This is a single-piece carburizing furnace which we talked about.

So “CaseMaster”, which was the name of our traditional integral quench carburizing furnace in the past, we no longer do. Right now, if we have an RFQ for atmosphere carburizer, we go with LPC.

Thank yous from the group.

Doug Glenn <br> Publisher <br> Heat Treat Today

Doug Glenn
Publisher
Heat Treat Today

 

 

 

 

 

 

 

 

 

 

 

 

 


To find other Heat Treat Radio episodes, go to www.heattreattoday.com/radio and look in the list of Heat Treat Radio episodes listed.

 

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Heat Treat Case Study: Predictive Maintenance with Digital Thyristor Power Control

OC

How intelligent are your maintenance systems? Whether they track usage or calculate data, having a maintenance system is key. This Technical Tuesday feature article highlights how intelligent digital maintenance systems can perform predictive maintenance analysis, putting you in a better position to meet challenges on the ground.

Tony Busch, sales application engineer at Control Concepts, Inc., wrote this Original Content article for Heat Treat Today. Reach out to editor@heattreattoday.com if you have an article that you’d like to write for the web or for print


Tony Busch
Sales Application Engineer
Control Concepts, Inc.

Digital power controllers can calculate resistance and provide precise power control. Predictive maintenance is achieved by knowing when an element has reached its useful life. Intelligent power control includes embedded algorithms with teach function to calculate data and predict what is likely to happen next in the life of a heating element. This capability can determine partial load loss, resistance change, and complete load loss. As a result, it can help reduce energy cost.

The ability to measure resistance in a furnace can provide information regarding the overall condition of an element. Utilizing “Teach” functions — a power controller with embedded algorithms for calculating data — digital power controllers can constantly predict what is likely to happen next in the life of a heating element. Knowing the life of the element allows you, the heat treater, to predict when they should be changed and allows for a structured shut down preventing expensive unscheduled downtime. Conditions, such as partial load failure, are determined and appropriate alarms are activated.

Knowing the life of the element is also very useful for the heat treater when determining other conditions of the furnace, such as furnace insulation problems. Heat loss due to poor insulation can cause the elements to work harder to maintain temperature and shorten element life. Furthermore, lost heat increases energy consumption and higher electric bills. Understanding the condition of the furnace elements and the overall life of the element can be key in determining if the furnace is in proper operating condition to meet the next AMS2750 audit.

Intelligent controllers have a Kilovolt-ampere hour meter (KVAh Consumption). The KVAh Consumption value is the apparent power (KVA), revealing to the operator the actual energy costs in a particular product run. Understanding plant loading and KVAh Consumption are key factors in determining if load shedding and load sharing are appropriate. Determining the aging process of a variable resistive load provides information that is very useful in determining when transformer taps should be tapped up or down. Operating on the proper tap can help eliminate costly utility penalties by improving system power factor.

IoT is becoming a reality. Digital connectivity by various bus networks allows this data to be readily accessible and power conversion equipment is just one smart device that will be to connect it all together. Predictive maintenance, and proper energy use, are just a couple of the many things that will result from improved plant productivity.

About the Author: Tony Busch, sales application engineer at Control Concepts, Inc., started as a test technician at the company 10 years ago before transitioning into field service and repairs, followed by his current position of 6 years. 

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Predictive Maintenance and Saving Money

Source: TAV-The Vacuum Furnace Blog

We hear the term “preventative maintenance” often used in the industry. Setting up procedures in advance to avoid unplanned downtime and other avoidable costs is certainly a hot topic. But this Heat Treat Today Best of the Web feature highlights a maintenance strategy that has become increasingly popular in creating better industrial efficiency: predictive maintenance. Read today’s feature article to learn about what predictive maintenance is, how it is implemented in a vacuum furnace system, and how this strategy saves you money.

An excerpt: “Predictive maintenance (PdM) evaluates the condition of equipment by performing periodic or on-line asset condition monitoring. Most PdM is performed while vacuum furnace is operating normally to minimize disruption of everyday operations. This maintenance strategy leverages the principles of statistical process control.”

Read more: “Save Time and Money with Vacuum Furnace Maintenance [2/2]

 

 

 

(Source: TAV Vacuum Furnace Blog)

 

 

 

 

 

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