Development of a Python-Based MasterCurveCreator Tool for Viscoelastic Materials

The behavior of viscoelastic materials across wide range of temperatures and frequencies is essential for engineering applications, significantly impacting the performance, durability and safety of products in industries like automotive and aerospace. To understand this behavior, master curves are v...

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Published in:2025 Smart Systems Integration Conference and Exhibition (SSI) pp. 1 - 7
Main Authors: Sharma, Harshita, Albrecht, Jan, Horn, Tobias Daniel, Pantou, Remi, Rzepka, Sven
Format: Conference Proceeding
Language:English
Published: IEEE 08.04.2025
Subjects:
Dynamic mechanical analysis
Master curves
Mathematical models
Power measurement
Prony series coefficients
Python
Reliability
Reproducibility of results
Shift factors
Smart systems
Standardization
Temperature distribution
Temperature measurement
Viscoelastic materials
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Abstract The behavior of viscoelastic materials across wide range of temperatures and frequencies is essential for engineering applications, significantly impacting the performance, durability and safety of products in industries like automotive and aerospace. To understand this behavior, master curves are very helpful, as they consolidate the viscoelastic behavior into single curve and predicts the material properties under varying conditions. Traditionally, to create master curves has required considerable manual effort and is prone to human error, which leads to inaccurate results. To streamline this process, MasterCurveCreator, a python-based tool with an intuitive GUI, is developed to generate master curves. This tool shifts raw measurement data using temperature-dependent shift factors derived from a Power Law model, adjusts to a reference temperature and generates a master curve. In addition, it supports the deduction of the Prony series coefficients for effective modeling of viscoelastic behavior.
AbstractList The behavior of viscoelastic materials across wide range of temperatures and frequencies is essential for engineering applications, significantly impacting the performance, durability and safety of products in industries like automotive and aerospace. To understand this behavior, master curves are very helpful, as they consolidate the viscoelastic behavior into single curve and predicts the material properties under varying conditions. Traditionally, to create master curves has required considerable manual effort and is prone to human error, which leads to inaccurate results. To streamline this process, MasterCurveCreator, a python-based tool with an intuitive GUI, is developed to generate master curves. This tool shifts raw measurement data using temperature-dependent shift factors derived from a Power Law model, adjusts to a reference temperature and generates a master curve. In addition, it supports the deduction of the Prony series coefficients for effective modeling of viscoelastic behavior.
Author Sharma, Harshita
Rzepka, Sven
Horn, Tobias Daniel
Pantou, Remi
Albrecht, Jan
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  givenname: Sven
  surname: Rzepka
  fullname: Rzepka, Sven
  email: sven.rzepka@enas.fraunhofer.de
  organization: Fraunhofer Institute for Electronic Nanosystems (ENAS),Chemnitz,Germany
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SubjectTerms Dynamic mechanical analysis
Master curves
Mathematical models
Power measurement
Prony series coefficients
Python
Reliability
Reproducibility of results
Shift factors
Smart systems
Standardization
Temperature distribution
Temperature measurement
Viscoelastic materials
Title Development of a Python-Based MasterCurveCreator Tool for Viscoelastic Materials
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