Related Experiment Video
Updated: Apr 15, 2026

On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature
Published on: March 11, 2022
Modeling of PEEK Crystallization Kinetics Under Transient Thermal Conditions
Shahil Hamid1, To Yu Troy Su2, Soroush Azhdari1
1Department of Materials Engineering, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Abstract:
This study develops a kinetic model that captures poly-ether-ether-ketone (PEEK) crystallization over a temperature T window from glass transition (Tg) to melting (Tm) temperature, and across cooling rates from 5 to ~103 °C/min. The framework is a parallel dual-Nakamura formulation whose isokinetic parameters {kiT,ni,wiT} are obtained from a bi-level non-linear regression of isothermal crystallization tests conducted using a flash-differential scanning calorimeter (FSC). The weight wiT partitions the faster primary and slower secondary crystallization and is represented by a physics-based analytical function that captures its dome-shaped temperature dependence. A maximum isothermally achievable enthalpy function is introduced so that the model predicts enthalpy ΔH(t) natively under arbitrary thermal profiles. To extend this isothermal backbone to non-isothermal conditions, two explicit cooling-rate-dependent scalars are introduced, ωT˙ and χT˙, which shift wiT and limit attainable crystallinity at high cooling rates respectively. Finally, a rate-dependent induction time relation is added to adjust the onset of crystallization. Calibrating these rate functions against non-isothermal experiments, while keeping the isokinetic parameters fixed, yields a single isothermal-non-isothermal model that predicts ΔH(t) under arbitrary T(t) profiles. Model performance is validated using an interrupted FSC experiment with a multi-segment cooling program that mimics a local transient thermal history of PEEK during additive manufacturing. The sample is cooled through successive constant-rate segments with intermittent quench-remelt cycles to probe the accumulated crystallinity along the path. Without additional fitting, the model predicts the measured enthalpy evolution with R2 ≈ 0.95. The framework thus provides a practical route for predicting polymer crystallinity under processing-relevant thermal histories.
Related Concept Videos
Recrystallization: Solid–Solution Equilibria
Crystal Growth: Principles of Crystallization
Initiating crystallization involves manipulating the concentration of the solute and the temperature of the solution. Since crystal growth occurs when the ratio of concentration and solubility of the solute in the solvent...
Phase Transitions: Vaporization and Condensation
Phase Transitions: Melting and Freezing
Phase Transitions: Sublimation and Deposition

