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Material Modeling of PMMA Film for Hot Embossing Process.

Dongwon Yun1, Jong-Bong Kim2

  • 1Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology, 333 Techno jungang-daero Hyeonpung, Dalseong-gun, Daegu 42988, Korea.

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|October 13, 2021
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Summary

This study analyzes hot embossing of poly methyl methacrylate (PMMA) film using computational methods. The finite element method (FEM) and a new constitutive model accurately predict material behavior for optimized hot embossing processes.

Keywords:
Poly methyl methacrylateconstitutive modelembossingfinite element methodpolymer

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Computational Modeling

Background:

  • Hot embossing is crucial for micro/nano-patterning flexible films like poly methyl methacrylate (PMMA).
  • Analyzing the complex mechanisms and optimizing process variables for hot embossing is time-consuming and costly due to extensive experimentation.
  • Variations in process parameters significantly impact the quality of embossed patterns.

Purpose of the Study:

  • To develop a computational analysis method for efficient hot embossing process optimization.
  • To accurately model the behavior of PMMA films during hot embossing.
  • To reduce the time and cost associated with finding optimal hot embossing conditions.

Main Methods:

  • Utilized the finite element method (FEM) combined with the arbitrary Lagrangian-Eulerian (ALE) re-mesh technique for simulation.
  • Developed a constitutive model that accounts for strain, strain rate, and temperature-dependent stress and softening in PMMA.
  • Integrated the developed constitutive model into the FEM analysis via a user-subroutine.

Main Results:

  • The proposed constitutive model effectively captured the work hardening, strain softening, and temperature-softening behaviors of PMMA.
  • The computational analysis provided a precise understanding of film deformation during the hot embossing process.
  • The FEM-ALE approach enabled a more efficient analysis compared to traditional experimental methods.

Conclusions:

  • The computational approach using FEM and a tailored constitutive model offers a viable and efficient method for analyzing and optimizing the hot embossing of PMMA films.
  • This method accurately predicts material response, facilitating the determination of optimal process conditions.
  • The study demonstrates the potential of computational analysis to accelerate the development and application of hot embossing technologies.