// Case story

How to solve problems using ΔT

May 2026

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One of our customers ran into a recurring quality issue on a high-volume mould. Parts came out within tolerance most of the time, but every fourth or fifth shift produced a batch with subtle warping. The team had ruled out the obvious culprits — material batch, machine setup, ambient conditions — and were running out of ideas.

The problem behind the problem

They installed MouldFlo on the cooling circuits and started logging flow and temperature data continuously. Within a week, the pattern was visible. The ΔT — the difference between inlet and outlet temperature — was creeping upward on two specific circuits during longer production runs.

That meant heat was building up faster than the cooling system could carry it away. Not enough to trigger a hard alarm, but enough to shift the part geometry just past tolerance once the mould reached a critical temperature.

What the data showed

Two circuits were running at the upper edge of their flow capacity. The bottleneck turned out to be a partial blockage in the manifold — minor enough that it had not been caught during routine maintenance, but significant enough to change the cooling profile under load.

With the data in hand, the maintenance team cleaned the manifold, verified flow rates against the original specification, and adjusted the cycle settings to take advantage of the restored cooling capacity.

The result

Cycle time dropped by five seconds per part. Across a typical shift, that adds up to a meaningful production gain. More importantly, the warping issue disappeared completely. The team now uses ΔT as a leading indicator — if the differential starts climbing on a circuit, they know maintenance is needed before quality drops.

This is what MouldFlo is built for. Not just monitoring, but giving production teams the data they need to find problems before those problems find them.

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