Dispense Monitoring: Adhesive and Sealant
Process monitoring inspection to detect improper adhesive or sealant dispensing operations during manufacturing assembly—in real-time!
Monitor adhesive and sealant dispense operations in real-time to catch and identify process defects
Measuring the appropriate dispensing of sealants, coatings, and adhesives in manufacturing assembly can be a challenge. Typical problems are air bubbles resulting in voids, incorrect tip size, wrong media or partial hardening due to issues such as incorrect pressure, exposure, clogged nozzles, or tooling alignment. When these defects go undetected, they can cause issues such as leaks, non-secure parts, and unwanted noise and vibration.
Our process monitoring solutions and defect detection systems monitor the process to identify low pressure, high pressure, dispense time issues, and more as they occur—and the data insights you need to solve the problem.
Typical issues identified using Sciemetric’s intelligent process monitoring system:
- Air bubbles
- Clogged nozzles
- Missed or incomplete purge following nozzle replacement
- Oversized nozzle/wrong tip
- Pressure deviations
- Improper dispense time
- Debris or semi-cured material
- Optionally monitor leak test to catch failures caused by faulty dispense/adhesive process
- Optionally monitor upstream dispense components such as pail pump or auger pump, which can ultimately affect the overall dispense process
A smart dispense / adhesive process monitoring system
Automate defect detection
Let this smart system detect defects, reduce reliance on operator judgment
Eliminate guesswork
Use the technology to understand and address quality issues faster
Easily configure tests
sigPOD makes it easy to start testing quickly
Get insight into the process
Gain visibility into your process using waveforms and reporting at the station
Analyze virtually any adhesive, sealant, or fluid dispense application in real time
Digital process data visualization identifies quality issues in any lubricant, adhesive, or sealant dispense application, whether it's automotive gaskets, electronics, medical devices, consumer products, or any other manufactured product. Use our fluid dispense monitoring system on any of the following dispense processes:
- Silicone Bead Dispensing
- Silicone Drop Dispensing
- Silicone Sealant Dispensing
- Industrial Sealant Dispensing
- Anaerobic Bead Dispensing
- Anaerobic Drop Dispensing
- 2-Part Epoxy Dispensing
- Bead Inspection
- Rotospray Systems
- Oil/Grease or Other Fluid Monitoring
- And more
Easily add process monitoring or data to your existing dispense machine
See how manufacturers are retrofitting their existing dispense operations with Sciemetric’s sigPOD to catch defects in real-time, improve product quality, and drastically decrease scrap and rework costs, and line downtime.
Proven Applications. Measurable Results.
Solving quality issues with Loctite® adhesive dispensing
After numerous leaks and the threat of warranty claims, a manufacturer needed an accurate monitoring solution to catch bubbles causing the leaks at their Loctite® adhesive dispense station. sigPOD allowed them to detect a variety of issues causing dispense defects as they happen, improving product quality, and decreasing scrap and rework costs, and downtime.
SEE THE CASE STUDYUsing process monitoring to identify bubbles machine vision missed
Vision systems can’t see air trapped within opaque sealants and adhesives, and this results in chronic quality issues on a production line. Our integrated process monitoring platform monitors dispensing applications with a high level of precision to identify faulty applications before they reach the end of the line.
Have confidence in every single dispense operation
Ensure the quality of every single dispense operation using Sciemetric's real-time production monitoring system.
Store and manage all your dispense machine process data—and machine vision images—in one place!
Easily connect your dispense process to Sciemetric’s QualityWorX suite to enable full part history traceability, including any machine vision images captured by your system.
