watlow

Q&A: AI, MCP, and Heat Treat

/ CONTROLS TECHNICAL CONTENT, MANUFACTURING HEAT TREAT TECH

AI is moving from concept to practice in heat treating — driving furnace optimization, smarter scheduling, and predictive compliance. In this Q&A, Peter Sherwin, strategic marketing at Watlow, highlights how Model Context Protocol (MCP) will connect data, tools, and operators to reshape the industry’s digital future.

This informative piece was first released in Heat Treat Today’s October 2025 Ferrous & Nonferrous Heat Treatments/Mill Processing print edition.

Q1. What do we mean by “AI” in industrial heat treat?

It is probably best to start with a contrast. We have fixed code in heat treat applications, such as a setpoint programmer that is pre-programmed with ramps and soaks at specific temperatures for specific times. I like to think of AI (artificial intelligence) as introducing the concept of flexible code that learns from data over time.

AI has been used for a surprisingly long time in heat treatment. The original autotune algorithms used a form of AI and machine learning to adapt the PID parameters to a specific furnace, learning from real equipment process signals (such as temperature sensors) to provide optimum control.

Q2. Where is AI already working in heat treat?

AI is most obviously used in equipment optimization, and there are a growing number of cases expanding from process control to energy optimization. Less obvious uses are within the heat treating plants. For example, AI in contract review can highlight key customer requirements, pull together relevant specifications, and help craft recipe design or selection.

A common issue across plants is the need to continually optimize and re-optimize production planning and scheduling. Because heat treating occurs near the end of the manufacturing chain, last-minute changes are common. The ability to quickly re-plan based on specific requirements is a typical use of AI.

Following the process, quality analysis is now supported by AI with optical microscopy that leverages microstructural datasets. AI can also be used for financial analysis, recruitment, and customer support.

Q3. What is MCP?

Model Context Protocol (MCP) is a structured method for AI applications and agents to securely discover data, call tools, and share context. Developed by the engineering team at Anthropic in 2024, it has now received widespread adoption across major technology providers, such as Microsoft and OpenAI.

In simple terms, it enables large language models (LLMs) to communicate reliably with other data sources.

Q4. What MCP adoption is happening today?

It is still early, but MCP adoption is accelerating rapidly. Most software companies are developing MCP servers. Many B2C applications already exist, and there are now a growing number of industrial applications, such as those from Highbyte, Flow Software, and Siemens.

Q5. What will “MCP-compliant” mean for AI developers?

From a developer’s perspective, this should be easier than crafting individual application programming interfaces (APIs) that require strict mapping between software products. Any changes on the other end of the system would normally require the API to be restructured. MCP is expected to support inheriting updates without code changes and provide a more uniform setup.

Figure 1a. MCP Standard screen capture of how to use the tool. (Screen capture from the “Architecture overview” page of modelcontextprotocol.io.)
Figure 1b. Toggle to the “Tool Call Response” to view the response for that example input request. (Screen capture from the “Architecture overview” page of modelcontextprotocol.io.)

Q6. How would MCP specifically benefit heat treat?

In the last 30 years, I have seen three waves of technology. The first wave was automation that leveraged PLCs, setpoint programmers, and carbon probes to reduce manual errors and improve utilization.

The second wave focused on regulations in aerospace (AMS2750) and automotive (CQI-9) to harmonize auditing processes, improve quality, and reduce in-use failures (reducing recalls). These regulations focused on ensuring ongoing equipment capability (such as TUS for furnaces and ovens), instrumentation and quality thermocouples via SATs, independent calibration, and operator procedures and training.

The last wave focused on Industry 4.0 and IIoT to further automate and optimize previous improvements. However, apart from some isolated cases, many Industry 4.0 solutions have not delivered the expected value. There are many potential reasons, but one standout is the focus on continued machine automation at the expense of human intervention.

The benefit of MCP is that it acts as a bridge between data and the people who need to use that data to improve processes.

Q7. What are the biggest adoption barriers (and how to reduce them)?

I am typically an early adopter of technology. I was asked to automate a manual sealed quench furnace (batch integral quench) to automatic setpoint and carbon control in the early 1990s, which was one of my first projects. I began exploring technology solutions for Industry 4.0 and IIoT back in 2013. There will always be both early adopters and laggards.

Sometimes it makes sense to wait until technology matures and becomes more reliable, but this feels different. For the first time, data will build upon data, and learning early from that data will put companies ahead.

Cybersecurity and IT policies will scrutinize any new technology. One opportunity for AI is to also strengthen cybersecurity robustness. I recently heard that if you do not respond to a technology breach within 30 minutes, you will lose significant data. Human intervention alone will not be fast enough. AI is truly a double-edged sword.

There is also a growing fear that AI will take jobs. This has been demonstrated in the software industry, where it is estimated that 30 percent of code is now written by AI. I do not believe a heat treater can reduce staff further, since most are already operating with skeleton crews. The real opportunity is to enable all individuals to accomplish more, supported by AI.

The final point is when to adopt this technology. The pace of improvement over the past two years has been tremendous, and we are only now reaching the point where new models are robust enough for industrial application.

Q8. Pace of change: start now or wait?

The base LLMs needed time to improve and become more reliable while reducing hallucinations. Each version of ChatGPT has made significant leaps in knowledge and robustness. The latest model, GPT-5, is beginning to provide the level of reliability needed for industrial applications; this progress will continue.

Q9. What AI-powered products or services will emerge with MCP?

We can do a bit of future gazing. I compiled several ideas as part of my preparation for my presentation at ASM Heat Treat in October. In each example below, you will notice that a human remains in the loop. Instead of manually fetching specific data and information, the agent provides timely information.

EnergyOptimizerAgent — Subscribes to “Power/Furnace*/kW” tags and day-ahead tariff feeds. Models alternate start times and sends a proposal called “propose_shift” to a PlanningAgent. If planners accept, the new schedule is written back to the UNS so control logic and enterprise resource planning (ERP) software stay aligned.

ComplianceAgent — Monitors SAT and TUS counters published by the Edge Process Management (EPM) platform. When drift approaches a set threshold, it issues “propose_sat” with a suggested window and part list. After the test, AuditPackAgent gathers .uhh files and publishes a cryptographic hash so auditors can verify authenticity without manual file transfers.

UniformityMonitorAgent — Streams zone temperatures and compares each batch with stored “golden” fingerprints. If deviation grows, it assembles options, such as rerouting the load or adding a soak. Operators approve or reject through a dashboard.

MaintenanceSchedulerAgent — Reads valve-cycle counts, fan-vibration spectra, and motor current signatures. Calls a computerized maintenance management system (CMMS) tool to open a work order, reserve a slot, and order spare parts when limits are reached.

OperatorCopilotAgent — Listens to every proposal on the MCP bus and presents it in chat form. For example: “Shift Load B932 to 13:30 to avoid the peak tariff. Accept or ask why.” One tap reveals historian trends, specification clauses, and the agent’s reasoning trail, giving junior staff instant context while keeping humans in charge.

Q10. Any drawbacks or cautions with MCP?

AI and MCP will continue to be targets for cybercrime. It is important to architect any solution so that the base control and operation of equipment remain safe, even if the AI layer is breached.

At ASM Heat Treat, I will touch on some architectural solutions that can support safer AI implementations. As with anything internet-related, precautions must be taken. With AI, you also introduce the possibility of human-like imposters.

There is risk in everything we do, and everyone needs to continually assess risk versus reward. In many cases, MCP may tip the balance by providing more value than past technology solutions.

The responses in this article represent Peter Sherwin’s personal views and not necessarily those of his organization.

About The Author:

Peter Sherwin
Strategic Marketing
Watlow

Peter Sherwin is passionate about offering best-in-class solutions to the heat treatment industry. He is a chartered engineer and a recognized expert in heat treatment control and data solutions.

For more information: Contact Peter Sherwin at peter.sherwin@watlow.com.

Q&A: AI, MCP, and Heat Treat Read More »

Message from the Editor: AI, Where Are You?

/ EDITOR

Heat Treat Today publishes twelve print magazines a year and included in each is a letter from the editor. This letter is from the October 2025 Ferrous & Nonferrous Heat Treatments/Mill Processing print edition. In today’s letter, Bethany Leone, managing editor at Heat Treat Today, shares her insights on where artificial intelligence stands in the heat treating industry nine months into 2025.

In January 2025, the heat treat industry was envisioning operational improvements thanks to leaps in artificial intelligence (AI) developments. Now, nine months later, are we still searching for AI?

Managed by AI

Daniel Llaguno, President of NUTEC Bickley

For many industry players, AI has started in the office before the furnace. This can look like creating manuals, writing emails, and reading contracts to interpret legal language.

Daniel Llaguno, president of NUTEC Bickley, calls this the early stages of AI adoption. His company has leveraged AI for onboarding and training new employees — a low-risk, high-value application.

Like many suppliers, they are exploring how AI could eventually reshape furnace development, likely on an open-loop system first (versus a closed-loop where AI receives furnace information and immediately sends back direction to the furnace controls on how to respond).

The Furnace Floor

Jason Orosz, President of Global Heat Treating Services

The next step is already visible: integrate AI into existing IIoT platforms that manage floor operations. Platforms that you may already have considered are QMULUS by NITREX, PdMetrics by Ipsen, and Edge Process Management (EPM Data) by Eurotherm, a Watlow company. These are just a sampling of advanced management systems on the marketplace, and ones that are at different stages of incorporating AI and machine learning for process optimization.

QMULUS has already deployed across all North American Heat Treating Services locations, according to Jason Orosz, president of Global Heat Treating Services. He says AI has been useful in “helping with analysis, troubleshooting, and quality control” — themes you will hear repeatedly in early AI applications.

Evolving To Meet Expectations

Michael Mouilleseaux, General Manager of Erie Steel, Ltd

What should AI integration into furnace operations look like? Michael Mouilleseaux, general manager at Erie Steel, has commented that heat treat AI should help the industry shed its “black magic” reputation. He envisions advanced analysis that could, for example, “correlate intergranular oxidation (IGO) results with furnace integrity checks (i.e., leaks), eventually establishing hard limits for allowable leak rates.”

Still, obstacles remain. “I think it’s going to be a while before commercial heat treaters can relinquish furnace control over to an AI,” Orosz added, specifically commenting on maintaining furnace parameters. This makes sense due to the need for commercial heat treaters to conform to client specifications. Rather, he says in-house heat treat operations “are likely going to be the first movers in that area since they can make their own rules.” For readers of this publication — who primarily are coming from these types of operations — that should be an encouragement: you have a key role to innovate.

Lee Rothleutner, Manager of Materials R&D, The Timken Company

One other key factor for this integration to occur within operations comes with acknowledging the heavy digital capacity that AI requires. Lee Rothleutner, manager of Materials R&D at The Timken Company, commented on this very point, writing to me that for high-quality digital data, the heat treat industry needs to commit not just to the investment but to maintaining a robust data collection and storage infrastructure. He also foresees one pathway of AI integration beyond preventative maintenance, noting, “AI applications can extend to process optimization, quality control, and energy efficiency improvements.”

What To Do Now

For successful integration of AI technology, the common denominator is that management teams are being encouraged to constantly try new ways to innovate with AI.

The first thing you need to do is open an email and send me your AI integration story. Just kidding. (Not really.)

After that, you need to read Peter Sherwin‘s article on page 34 of this issue where he discusses a new development in standardization that should accelerate AI’s role in industry.

Finally, if you are attending ASM Heat Treat 2025 this month, bring your AI to the table … literally, if you have a booth. Showcase what you’ve been doing at your location or become a part of the conversation. Lee Rothleutner, quoted above, will be participating in a panel discussion on this very topic in the afternoon of Tuesday, October 21.

The Heat Treat Today booth is #944. Not everyone is accustomed to the rapid pace of tech adoption; we want to help one another understand the risks and potential that AI brings, and your stories are critical. I look forward to talking with you.

References

Glenn, Doug, and Llaguno, Daniel. 2025. Interview by Heat Treat Today. Private recording, February.

Loepke, Mike. 2025. “Digitalization Propels Heat Treating to Industry of the Future.” Heat Treat Today 7 (8).

Bethany Leone
Managing Editor
Heat Treat Today
Contact: Bethany Leone at bethany@heattreattoday.com

Message from the Editor: AI, Where Are You? Read More »

22 News Chatter To Keep You Current

/ HEAT TREAT NEWS, MANUFACTURING HEAT TREAT NEWS

Heat Treat Today offers News Chatter, a feature highlighting representative moves, transactions, and kudos from around the industry. Enjoy these 22 news items.

Equipment

  1. ROGESA Roheisengesellschaft Saar GmbH has commissioned SMS group to carry out a comprehensive modernization of blast furnace 4 (BF4), which will extend the service life of the blast furnace and ensure effective monitoring of the hearth lining. The contract includes the planning and delivery of the Paul Wurth hearth lining and multi thermocouple sensor probes (MTPs), as well as technical support during the installation phase at the in Dillingen, Germany, location. Additionally, Future Forgeworks, a steel manufacturer based in Brisbane, Australia, has commissioned SMS group to supply the nation’s first continuous mill technology (CMT® 350) mill. Future Forgeworks’ landmark project, the Swanbank Green Steel Mill Project, will produce rebar steel in an endless process for the Australian company, guaranteeing low carbon emissions and highly efficient production. 
  2. Piper Industrial Manufacturing Company, a Piper Aircraft, Inc., subsidiary, has acquired a Flexform™ fluid cell press from Quintus Technologies, expanding its equipment inventory to target the growing demand for low volume, high-complexity sheet metal forming. The company provides turnkey world-class manufacturing solutions.
  3. Steel producer Colakoğlu Metalurji AS, has placed an order with SMS group for the modernization of the laminar cooling section and the downcoiler in its 1,850-millimeter hot strip mill. With the completion of the laminar cooling system upgrade, the Turkish company plans to enter the market for wear-resistant steel grades. Additionally, Fujian Kebao Metal Products Co., Ltd., a subsidiary of Fujian Sanbao Group, has contracted with SMS for two tinplate continuous annealing lines (TIN CALs).
  4. A heat and energy management company that produces approximately 2 million complex parts per year has expanded with a custom-made VAB furnace for vacuum aluminum brazing. SECO/WARWICK has delivered the furnace to the company, located in the Czech Republic.
  5. Aluminum and renewable energy company Hydro has decided to invest in a new sow casting line at Husnes to increase its primary aluminum casthouse flexibility. The company’s primary plant produces low-carbon extrusion ingot for the European construction and automotive industries. The sow caster, which will have a capacity of 100,000 tonnes per year, will give flexibility to produce sow ingots in periods of lower demand for the plant’s main products.
  6. Secat, Inc., recently announced the addition of the Alubin extrusion press to its Nicholasville Pilot Lab. The press was donated by Wagstaff, Inc., which manufactures direct chill aluminum casting systems. This equipment will elevate the company’s testing, development, and small-scale production capabilities.
  7. Tenova will supply a new hot dip galvanizing line for PT Tata Metal Indonesia. The flexibility of the new line for zinc aluminum magnesium alloys will enable production of three types of coated coils.
View of ROGESA blast furnace 4 from the water treatment plant
Cooling groups operating as part of the laminar cooling system for Colako
Low-carbon extrusion ingot for the European construction and automotive industries produced at Husnes
A new aluminum extrusion press installed at Secat’s Nicholasville Pilot Lab in Kentucky
Tenova and PT Tata Metal Indonesia

Company & Personnel

  1. Can-Eng Furnaces International, Ltd. has announced the promotion of two long-standing employees to new leadership roles in 2025. Jason Clay has been promoted to manufacturing operations manager, overseeing the future direction of the company’s manufacturing strategies. Adam DeCiccio has been promoted to purchasing and logistics manager and will focus on implementing innovative strategies and improvements within purchasing, supply chain, and inventory planning to support company growth.
  2. thyssenkrupp Aerospace, a logistics service provider for the commercial aerospace industry, and aluminum manufacturer Novelis have renewed their strategic partnership through a multi-year agreement.
  3. Kolene Corporation recently announced the promotions of Timothy D. Shoemaker and Peter L. Shoemaker, both to co-chief operating officers for the corporation. Tim Shoemaker is responsible for sales and has oversight of the company’s engineering, field service, and project management departments. Peter Shoemaker continues to lead the company’s chemical supply chain and order fulfillment departments, as well as its critical replacement parts revenue segment.
  4. Gasbarre‘s new 150,000-square-foot facility in St. Marys, Pennsylvania, recently became fully operational, with expanded floor space, upgraded infrastructure, and state-of-the-art equipment.
  5. JSW Steel Dolvi Works has selected SMS group for a major expansion of its steelmaking facility, increasing the annual capacity of the existing steel mill by 3.7 million tons per year.
  6. Watlow, a provider of industrial technology and thermal systems, recently expanded its executive leadership team by appointing two regional presidents to oversee operations in Asia and Europe. Shiyi Zhou will serve as regional president of Asia, and Klaus Aarestrupp as regional president over Europe.
  7. Ipsen announced the 2025 schedule for its comprehensive training course on vacuum furnace equipment. Ipsen U will take place on April 1-3, June 10-12, August 12-14, and October 7-9 in Cherry Valley, Illinois.
  8. CAN-ENG Furnaces International Ltd has formed a strategic partnership with Piotr Pelian, founder of Industrial Process Technology to expand its European presence.
  9. Hydro and Northvolt have signed an agreement where Hydro will acquire the remaining shares in the battery recycler Hydrovolt for NOK 78 million, increasing its ownership in Hydrovolt from 72 to 100 percent through this transaction. Hydrovolt is a raw materials company established in 2020 as a 50/50 joint venture between Hydro and Northvolt.
Jason Clay
Manufacturing Operations Manager
CAN-ENG Furnaces International, Ltd
Adam DeCiccio
Purchasing & Logistics Manager
CAN-ENG Furnaces International, Ltd
Timothy D. Shoemaker
Co-Chief Operating Officer
Kolene Corporation
Peter L. Shoemaker
Co-Chief Operating Officer
Kolene Corporation
Gasbarre’s new facility in St Mars, Pennsylvania
Shiyi Zhou
Regional President Asia
Watlow
Klaus Aarestrup
Regional President Europe
Watlow
Ipsen U training class
Piotr Pelian
Founder
Industrial Process Technology
Hydrovolt, one of Europe’s largest EV battery recycling plants in Fredrikstad, Norway

Kudos

  1. Solar Atmospheres, Inc. has been recognized as the industry leader in the Surface Treatment Services category of the 2024 Leadership in Medtech Awards.
  2. Phoenix Heat Treating has announced that their furnaces have received approvals from Pratt & Whitney and Bell Helicopter, increasing the company’s capacity to process orders that require specifically approved furnaces, ensuring compliance with stringent aerospace and defense standards.
  3. Steelhead Technologies recently announced the launch of the Tides of Steel Sweepstakes, in partnership with Calvary Industries. The contest offers an opportunity for job shops to win prizes that will accelerate 2025 growth and reward hard-working teams.
  4. The Otto Junker Foundation announced the winners of the Otto Junker Prize 2024, honoring outstanding academic achievements at the RWTH (Technical University of Aachen). The recipients are: Daniel Baggen, Moritz Diewald, Gerrit Ipers, and Jan Krusenbaum.
  5. Mark Thomason and John Blauser, both of Gasbarre, have received the 2025 Distinguished Service to Powder Metallurgy Award from the Metal Powder Industries Federation (MPIF). The award recognizes individuals who have dedicated at least 25 years to the powder metallurgy (PM) industry and made outstanding, long-term contributions that have earned the admiration of their peers.
  6. The inaugural class of field service engineers recently graduated from the Ipsen FSE Academy, a next-generation training program building on the foundation of the former Ipsen Corporate Academy. This revamped initiative reflects Ipsen’s ongoing commitment to developing top-tier talent. These engineers successfully completed an intensive 20-week training program focused on mastering the complexities of heat treatment furnace repair and service
Left to right: Wolfgang Bleck, Chairman of the Advisory Board of the OJ Foundation; Jan Krusenbaum, award winner; Gerrit Ipers, award winner; Daniel Baggen, award winner; Moritz Diewald, award winner; Ulrich Rudiger; Udo von Berg. Source: Andreas Schmitter
Mark Thomason
Global Sales Manager
Gasbarre Products
John Blauser
Business Development Manager
Gasbarre Precision Tooling
Members of the inaugural class of field service engineers from the Ipsen FSE Academy

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

22 News Chatter To Keep You Current Read More »

Thermal Loop Solutions, Part 1: A Path to Improved Performance and Compliance in Heat Treatment

/ AEROSPACE HEAT TREAT, AEROSPACE HEAT TREAT TECHNICAL CONTENT, ATMOSPHERE AIR FURNACES TECHNICAL CONTENT, AUTOMOTIVE HEAT TREAT, AUTOMOTIVE HEAT TREAT TECHNICAL CONTENT, CONTROLS TECHNICAL CONTENT

How often do you think about the intelligent designs controlling the thermal loop system behind your heat treat operations? With ever-advancing abilities to integrate and manage data for temperature measurement and power usage, the ability of heat treat operations to make practical, efficient, and energy-conscious change is stronger than ever. In part 1, understand several benefits of thermal loop systems and how they are leveraged to comply with industry regulations, like Nadcap.

This Technical Tuesday article by Peter Sherwin, global business development manager – Heat Treatment, and Thomas Ruecker, senior business development manager, at Watlow was originally published in Heat Treat Today’s January/February 2024 Air & Atmosphere Heat Treat print edition.

Introduction

Heat treatment processes are a crucial component of many manufacturing industries, and thermal loop solutions have become increasingly popular for achieving improved temperature control and consistent outcomes.

A thermal loop solution is a closed loop system with several essential components, including an electrical power supply, power controller, heating element, temperature sensor, and process controller. The electrical power supply provides the energy needed for heating, the power controller regulates the power output to the heating element, the heating element heats the material, and the temperature sensor measures the temperature. Finally, the process controller adjusts the power output to maintain the desired temperature for the specified duration, providing better temperature control and consistent outcomes.

Performance Benefits

Heat treatment thermal loop solutions offer several advantages over traditional heat treatment methods, including improved temperature control and increased efficiency. The thermal loop system provides precise temperature control, enabling faster heating and cooling and optimized soak times. In addition, the complete design of modern thermal loop solutions includes energy-efficient heating and overall ease of use.

Figure 1. Watlow Industry 4.0 solution (Source: Watlow)

Heat treatment thermal loop solutions are integrated with Industry 4.0 frameworks and data management systems to provide real-time information on performance. Combining artificial intelligence and machine learning algorithms can also provide additional performance benefits, such as the ability to analyze data and identify patterns for further optimization. Ongoing performance losses in a heat treatment system typically come from process drift s. Industry 4.0 solutions can explore these drift s and provide opportunities to minimize these deviations.

Heat treatment thermal loop solutions can be optimized using Failure Mode and Effects Analysis (FMEA). FMEA is a proactive approach to identifying potential failure modes and their effects, allowing organizations to minimize the risk of process disruptions and improve the overall efficiency of their heat treatment processes. Historically, this was a tabletop exercise conducted once per year with a diverse team from across the organization. Updates to this static document were infrequent and were primarily based on organization memory rather than being automatically populated in real time with actual data. There is a potential to produce “live” FMEAs utilizing today’s technology and leveraging insights for continuous improvement.

Th e effectiveness of heat treatment thermal loop solutions can be measured using metrics such as overall equipment effectiveness (OEE). OEE combines metrics for availability, performance, and quality to provide a comprehensive view of the efficiency of a manufacturing process. By tracking OEE and contextual data, organizations can evaluate the effectiveness of their heat treatment thermal loop solutions and make informed decisions about optimizing their operations.

Regulatory Compliance

Nadcap (National Aerospace and Defense Contractors Accreditation Program) is an industry-driven program that provides accreditation for special processes in the aerospace and defense industries. Heat treatment is considered a “special process” under Nadcap because it has specific characteristics crucial to aerospace and defense components’ quality, safety, and performance. Th ese characteristics include:

  • Process sensitivity: Heat treatment processes involve precise control of temperature, time, and atmosphere to achieve the desired material properties. Minor variations in these parameters can significantly change the mechanical and metallurgical properties of the treated components. This sensitivity makes heat treatment a critical process in the aerospace and defense industries.
  • Limited traceability: Heat treatment processes typically result in changes to the material’s microstructure, which are not easily detectable through visual inspection or non-destructive testing methods. Th is limited traceability makes it crucial to have strict process controls to ensure the desired outcome is achieved consistently.
  • Critical performance requirements: Aerospace and defense components often have strict performance requirements due to the extreme conditions in which they operate, such as high temperatures, high loads, or corrosive environments. The heat treatment process ensures that these components meet the specifications and can withstand these demanding conditions.
  • High risk: The failure of a critical component in the aerospace or defense sector can result in catastrophic consequences, including loss of life, significant financial loss, and reputational damage. Ensuring that heat treatment processes meet stringent quality and safety standards is essential to mitigate these risks.

Nadcap heat treatment accreditation ensures suppliers meet industry standards January/February and best practices for heat treatment processes. The accreditation process includes rigorous audits, thorough documentation, and ongoing process control monitoring to maintain high quality, safety, and performance levels.

The aerospace industry’s AMS2750G pyrometry specification and the automotive industry’s CQI-9 4th Edition regulations are crucial for ensuring consistent and high-quality heat treated components. Adherence to these regulations is essential for meeting the stringent quality requirements of the aerospace and automotive industries and other industries with demanding specifications.

Temperature uniformity is a crucial requirement of both AMS2750G and CQI-9 4th Edition, mandating specific temperature uniformity requirements for heat treating furnaces to ensure the desired mechanical properties are achieved throughout the treated components. AMS2750G class 1 furnaces with strict uniformity requirements +/-5°F (+/-3°C) provide both quality output and predictable energy use. However, maintaining this uniformity requires significant maintenance oversight due to all the components involved in the thermal loop.

Calibration and testing procedures are specified in the standards to help ensure the accuracy and reliability of the temperature control systems used in heat treat processes.

Detailed process documentation is required by AMS2750G and CQI-9 4th Edition, including temperature uniformity surveys, calibration records, and furnace classifications. This documentation ensures traceability, enabling manufacturers to verify that the heat treat process is consistently controlled and meets the required specifications.

Figure 2. Eurotherm data reviewer (Source: Watlow)

Modern data platforms enable the efficient collection of secure raw data (tamper-evident) and provide the replay and reporting necessary to meet the standards.

The newer platforms also offer the latest industry communication protocols – like MQTT and OPC UA (Open Platform Communications Unified Architecture) – to ease data transfer across enterprise systems.

MQTT is a lightweight, publish-subscribe-based messaging protocol for resource-constrained devices and low-bandwidth, high-latency, or unreliable networks. IBM developed it in the late 1990s, and it has become a popular choice for IoT applications due to its simplicity and efficiency. MQTT uses a central broker to manage the communication between devices, which publish data to “topics,” and subscribe to topics that they want to receive updates on.

OPC UA is a platform-independent, service-oriented architecture (SOA) developed by the OPC Foundation. It provides a unified framework for industrial automation and facilitates secure, reliable, and efficient communication between devices, controllers, and software applications. OPC UA is designed to be interoperable across multiple platforms and operating systems, allowing for seamless integration of devices and systems from different vendors. The importance of personnel and training is emphasized by CQI-9 4th Edition, which requires manufacturers to establish training programs and maintain records of personnel qualifications to ensure that individuals responsible for heat treat processes are knowledgeable and competent. With touchscreen and mobile integration, a significant development in process controls has occurred over the last decade.

Figure 3. Watlow F4T® touchscreen and Watlow PM PLUS™ EZ-LINK®
mobile application

By integrating these regulations into a precision control loop, heat treatment thermal loop solutions can provide the necessary level of control and ensure compliance with AMS2750G and CQI-9 4th Edition, leading to the production of high-quality heat treated components that meet performance requirements and safety standards.

Continuous improvement is also emphasized by both AMS2750G and CQI-9 4th Edition, requiring manufacturers to establish a system for monitoring, measuring, and analyzing the performance of their heat treatment systems. This development enables manufacturers to identify areas for improvement and implement corrective actions, ensuring that heat treat processes are continuously improving and meeting the necessary performance and safety standards.

To Be Continued in Part 2

In part 2 of this article, we’ll consider the improved sustainability outcomes, potential challenges and limitations, and the promising future this technology offers to the heat treat industry.

About the Authors

Peter Sherwin, Global Business Development Manager – Heat Treatment, Watlow
Thomas Ruecker, Senior Business Development Manager, Watlow

Peter Sherwin is a global business development manager of Heat Treatment for Watlow and is passionate about offering best-in-class solutions to the heat treatment industry. He is a chartered engineer and a recognized expert in heat treatment control and data solutions.

Thomas Ruecker is the business development manager of Heat Treatment at Eurotherm Germany, a Watlow company. His expertise includes concept development for the automation of heat treatment plants, with a focus on aerospace and automotive industry according to existing regulations (AMS2750, CQI-9).

For more information: Contact peter.sherwin@watlow.com or thomas.ruecker@watlow.com.

This article content is used with the permission of heat processing, which published this article in 2023.

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

Thermal Loop Solutions, Part 1: A Path to Improved Performance and Compliance in Heat Treatment Read More »

Skip to content