COE Press Equipment has introduced its new “Science Behind the Solution” calculators, a suite of engineering-based tools built on actual FEA (finite element analysis) data. These calculators are designed to give customers data-backed proof that proposed coil processing equipment will meet their specific performance and material handling requirements.
“With the rise of dual- and triple-phase steels, we’ve seen too many companies invest in equipment that ultimately couldn’t handle the job,” said COE President Reid Coe. “Our engineering team developed these calculators to demonstrate—upfront—that COE systems can withstand the forces generated by each application. This gives customers confidence in their equipment investment.”
Each calculator uses customer-supplied inputs—such as material type, coil size, and required production speeds—and runs them through proprietary algorithms. The result: precise validation of equipment capability and suggestions for optimal performance settings.
For example, the COE Coil Calculator takes basic input like coil ID, OD, and width, then calculates coil weight, expected run time, and parts per coil. This allows fabricators to better plan production and quote jobs more accurately. Another tool, the CTL Calculator, helps manufacturers evaluate the viability of bringing blanking line operations in-house, projecting potential ROI and value.
COE encourages manufacturers to ask all equipment providers for real data—proof that proposed systems are up to the task. As part of that effort, COE also offers to evaluate competing equipment specs, helping buyers ensure they’re choosing the right solution for their line.
Coil processing calculators are tools that use engineering data to simulate and validate equipment performance for metal forming applications.
By entering material specs, production speeds, and coil dimensions, the CTL calculator determines feasibility and potential ROI of in-house blanking lines.
They are currently offered through COE’s engineering team, who input your specs and return data-based recommendations for equipment selection or optimization.
