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.
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Shahil Hamid
To Yu Troy Su
Soroush Azhdari
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Hamid et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69fd7ef7bfa21ec5bbf073eb — DOI: https://doi.org/10.14288/1.0452021