The Problem: Invisible Flaws, Real Consequences
In the automotive industry, a single irregularity in the polyurethane (PU) seal can lead to costly quality failures — water leaks, customer dissatisfaction, or worse, structural issues. The EINES Pressure Control System addresses this by digitally supervising the PU application process onto windshield glass cells. Its main goal: prevent water ingress caused by imperfections in the PU bead.
Real-Time Precision, Beyond PLC Limits
The EINES system — powered by a PC and a high-resolution digital pressure sensor — continuously captures pressure data, enabling real-time comparison against a previously learned “ideal” pattern and instantly detecting bubbles, voids, or hardened PU fragments as they appear.
When a deviation is detected, the glass is automatically rejected, and the system logs key vehicle data.
A Smart Interface
The user interface presents the live pressure curve together with reference patterns tailored to each model. This visual comparison helps the system assess, in real time, whether the application remains within acceptable limits, highlighting any deviations that might affect quality.
Pattern Learning and Statistical Analysis
The system can automatically learn and update its reference patterns. By analyzing valid pressure curves over time, it refines these patterns to reflect the current production reality. This capability, available only to advanced users, allows the process to adapt naturally to variations in materials, equipment, or environmental conditions, reducing the need for manual adjustments.
Final Thought: Quality Built Into Every Bead
The EINES PU Pressure Control System isn’t just about data or hardware — it’s about guaranteeing quality at the source. By combining high-resolution sensing, automatic pattern learning, and full traceability, it empowers manufacturers to ensure every PU application is consistent, robust, and audit-ready.
In a world where OEMs are racing to cut defects and boost production speed, this system makes every millimeter count.