Rethinking Wire Drawing Dies
In the wire and cable industry, manufacturers long treated drawing dies as simple consumables. Paramount Die’s Smart Die System, protected under U.S. Patent #12,048,957, changes that mindset by turning the die box into a real-time data and control platform. Learn more about Paramount Die: https://www.paradie.com
About seven years ago, Joao Norona, Director of Research and Product Development at Paramount Die Co., recognized a critical gap on the plant floor. Wire producers did not have the data they needed to safely run at optimal speeds, so they kept lines well below capacity to avoid breaks and costly downtime. Operators could see the line running, but they had no direct visibility into what mattered most inside the die: temperature, force, and lubrication performance. Decisions about dies, lubricants, and settings often relied on subjective impressions—how the wire “felt” or “looked”—instead of hard numbers.
From Idea to Patented Smart Die System
Norona set out to replace guesswork with real-time data and transform wire drawing from an art into a measurable science. He presented the concept to company President Rich Sarver, who agreed to back a multi‑year development effort. Over roughly six years, Paramount invested more than $1 million in research to create what is now the patented Smart Die System, developed entirely in‑house.
During early trials, select customers installed confidential pilot systems on production lines to validate performance. Those tests confirmed that the live data matched real conditions and helped win over skeptical operators who initially viewed the concept as theoretical. Once they saw consistent, actionable results, many began describing the system as a true “game‑changer” in daily operations.
Designed by Wire Drawers, for Wire Drawers
From the outset, Norona rejected the idea of a simple external add‑on. The team concluded that the only way to measure the process accurately was to instrument the die box itself and embed intelligence at the core of the drawing system, with AI playing a key role in analysis and pattern detection.
Norona notes that some OEMs offer drawing lines with gauges and basic alarms, but those suppliers primarily build equipment rather than draw wire every day with customers. Paramount’s engineers, by contrast, come directly from the wire drawing world and designed the Smart Die System around real production challenges. In his words, it is a system “designed by wire‑drawers for wire‑drawers.”
Inside the Smart Die System Hardware
The Smart Die System integrates a redesigned die box with a network of sensors and electronics that capture what happens at the wire–die interface in real time. Instead of simply holding a die, the box becomes an intelligent “nerve center” that measures:
- Draw force by block – High‑precision sensors track how much pulling power each die requires. Norona calls this the best available indicator of efficiency at each block, because it reveals how well the process is running in the moment.
- Die temperature close to the interface – Embedded temperature sensors sit as close as possible to the working zone to capture true thermal loads. These readings correlate directly with friction, lubricant performance, and wear.
- Cooling performance and water flow – Water‑flow and cooling control units located under the machine can automatically adjust coolant delivery. This matters because even modest shifts in flow can significantly affect die temperature and performance.
At the heart of the system sits a die box integrated with Paramount’s direct water‑cooled smart pressure cassettes, an evolution of the company’s patented Paraloc Pressure System™. Each cassette combines dies, sensors, and cooling channels and sends signals to a local electronics control unit mounted on the machine. That unit conditions, synchronizes, and cleans the signals before sending them via Ethernet to a compact edge computer, where operators and engineers can view trends on a monitor or tablet in real time.
When plants add upstream signals—such as motor power, line speed, diameter, and lubricant properties—the system builds a multi‑dimensional view of the entire drawing process. All processing occurs on site, with no cloud connection required, which keeps sensitive production data under the manufacturer’s direct control.
Turning Invisible Process Behavior into Actionable Data
With synchronized force, temperature, and cooling data from each block, the Smart Die System exposes relationships that were previously invisible. For example, operators may increase line speed and see draw force drop, indicating that the lubricant has reached its optimal working range—an effect that feels counterintuitive without data. In other cases, a speed increase causes block‑level temperature and force to spike, warning that the process is operating beyond safe limits.
Traditional setups often infer draw force from motor load or overall machine behavior, but that view is distorted by drivetrain losses and lag. In contrast, the Smart Die System measures direct, isolated force readings by block, with immediate feedback. That lets teams react before wire breaks, dies overheat, or product falls out of spec.
The system also highlights which block in a multi‑die line acts as the weak link. Because drawing lines behave like chains, overall speed often depends on the block with poor cooling, incorrect reduction, or worn tooling. Once the system identifies that limiting block, teams can optimize die geometry, reduction schedule, and lubrication and then move on to the next bottleneck. Paramount reports that some early installations saw 5–10% increases in line speed in the first week, unlocking extra capacity without new machines.
Smart Adjustments and “Walk‑Away” Lines
The Smart Die System goes beyond monitoring. With the sensing, controls, and logic in place, plants can enable automated adjustments. If temperature at a specific block begins to drift beyond its target range, the control unit can increase coolant flow automatically to stabilize conditions—without waiting for operator intervention. That kind of closed‑loop control represents an early form of smart‑factory behavior on existing drawing lines.
Operators receive alerts as conditions trend toward failure, rather than after downtime occurs. The result is a process that becomes less dependent on a single “star operator” with decades of experience. As Norona notes, the system replaces gut feel with data, so the machine itself signals when something is off. Many operators now refer to upgraded lines as “walk‑away machines,” because they run smoothly enough that staff can step away with confidence.
Engineers benefit as well. Instead of arguing over subjective impressions, they can show a measurable impact: a die change that cut draw force by 7%, a cooling adjustment that stabilized temperatures, or a lubricant tweak that improved efficiency. That shifts discussions from “Why does this die cost more?” to “This die reduced force from 1,100 N to 950 N, which saved power, increased speed, and cut wear—delivering a return on investment many times greater than the price difference.” Some plants report payback periods as short as two to seven months, especially on mid‑ and high‑value products.
Local Data, AI Analytics, and a Growing Platform
From the beginning, Paramount designed the Smart Die System to support AI‑based process control, but the team had to address data‑security concerns first. Wire manufacturers typically guard production data closely and hesitate to send it to external cloud platforms. To solve that, Paramount built the system so that all data collection, analytics, and AI‑driven recommendations run locally inside the plant. Customers retain full ownership and control of their information. See Paramount Die’s corporate site for more background: https://www.paradie.com
As more lines run with Smart Die technology, the system accumulates a larger base of operational data. New algorithms can then:
- Suggest parameter changes based on live conditions
- Predict when a product will begin drawing outside tolerance
- Recommend die changes before quality issues or failures occur
Early adopters feed outcomes—such as speed gains, improved uptime, and fewer defects—back into the model, creating a continuous learning loop between the plant floor and Paramount’s development team.
Paramount does not view the Smart Die System as a one‑time product; it treats it as a long‑term platform. The roadmap includes additional features, deeper integrations, and more layers of intelligence, all anchored by the same core mission: deliver verified, real‑time data directly from inside the die system, where the most important decisions begin.
Norona believes the biggest change is cultural. Operators and engineers now rely on real data instead of estimates and opinions. Teams can prove process changes, justify investments, and run closer to true limits with confidence. In his words, the system finally gives wire‑drawing teams “visibility in the place that counts… not bits, not estimates, not opinions—facts.” That foundation continues to evolve as more AI capabilities emerge, and Norona sees no finish line in sight.