Strain Optimization of Tensioned Web through Computational Fluid Dynamics in the Roll-to-Roll Drying Process

Area of Science:

• Materials Science
• Mechanical Engineering
• Chemical Engineering

Background:

• Web temperature and strain variations in roll-to-roll (R2R) systems hinder smooth functional layer manufacturing.
• Limited research exists on mitigating these web unevenness issues in R2R drying processes.

Purpose of the Study:

• To develop a structural analysis model for R2R dryers to understand web drying mechanisms.
• To investigate the impact of structural modifications on web temperature and strain distributions.
• To improve the uniformity of functional layers produced via R2R processing.

Main Methods:

• Developed a structural analysis model using web temperature distribution as a boundary condition.
• Applied structural modifications to the dryer's flow channel and aluminum plate hole density.
• Validated model predictions of web temperature and strain in cross-machine (CMD) and machine (MD) directions.

Main Results:

• The model accurately predicted web temperature and strain distributions within the dryer.
• Structural modifications reduced web temperature deviation by up to 74%.
• Strain deviation in CMD and MD directions was decreased by up to 46%.

Conclusions:

• The developed model and structural modifications effectively address web unevenness in R2R drying.
• Findings are crucial for minimizing defects in functional layers on polymer-based webs.
• This research advances the quality control of continuous R2R manufacturing processes.