Maplesoft
Why and How to Use Simulation to Address Roll-to-Roll Quality & Performance Issues
As end-customers demand faster delivery and higher-quality products, it becomes urgent for converters and manufacturers of thin web materials (such as plastics, films, paper, labels, and metal foils) to find ways to improve their web line operations. With so many factors affecting web line performance—tension variations, material changes, and control strategies—it’s not always clear where to start.
This is where simulation can help, by providing answers for roller setpoints or identifying tension hotspots. However, if you are not using modeling tools today, you may have questions about how to make it work for you and to get the most value out.
In this video, Maplesoft's Chad Schmitke explains how machine designers use simulation tools to explore elements of a roll-to-roll system, try out tension control strategies, and find ways to support new materials or even a machine retrofit. Chad describes where to begin when solving these operational challenges, and how to use the visualization of tension or drive torque to uncover operational problems like slippage, before they occur in production.
Using real-world examples, this presentation will show you how process engineers use tools like MapleSim modeling software to enable smarter decision-making, reduce downtime, and create more efficient converting processes. Take a look at what's possible using simulation with roll-to-roll systems!
Topics include:
- The value of a simulation-based approach for improving web line design.
- How to apply digital modeling to your web handling or converting operations, and steps to get started.
- Diagnose and avoid tension problems through accurate modeling of the converting system.
- Using simulation to evaluate the impact of new web materials and test tension control strategies.
- Examples of companies that have used simulation to improve machine performance and troubleshoot problems faster.
Language:
English
Duration:
35 Minutes
Related Terms:
Simulation, Modeling
