The effects of material extrusion (MEX) process parameters on dimensional aspects of polycaprolactone for coronary stent applications

Ensuring dimensional accuracy in material extrusion (MEX) polycaprolactone (PCL) stents is critical for clinical performance, yet published studies report inconsistent parameter effects. This work systematically evaluated four MEX process parameters—extrusion temperature (TE), material deposition speed (vD), extrusion multiplier (ME) and layer thickness (tL)—on strut width (wS), stent thickness (tS) and stent length (lS) across three representative geometries (Hybrid A, Hybrid C, Chevron B). Twenty-one parameter combinations were experimentally tested, with dimensional data measured by optical microscopy and subsequently analysed using ANOVA and response-surface modelling (RSM) to quantify main effects, interactions and optimise outcomes. Results showed that ME and TE dominated wS and lS deviations, tL most strongly influenced tS, while vD had only minor, geometry-dependent effects. Complex geometries with acute angles (Chevron B) amplified interaction effects and trade-offs between dimensions. RSM multi-factor optimisation combined with experiments identified compromise windows balancing wS, tS and lS (TE: 150–180 °C, vD: 30–50 mm/s, ME: 130–140%, tL: 0.2 mm). Stent geometry critically governs parameter sensitivity, indicating that robust MEX-based fabrication of PCL stents requires geometry-aware optimisation rather than universal approach.

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Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2026-04-15
DOI
https://doi.org/10.1007/s00170-026-18050-4
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

The effects of material extrusion (MEX) process parameters on dimensional aspects of polycaprolactone for coronary stent applications

Nur Amalina Muhammad, Asnul Hadi Ahmad, Noorhafiza Muhammad, Shayfull Zamree Abd Rahim et al.
The International Journal of Advanced Manufacturing Technology
Coronary Interventions and Diagnostics
article

The effects of material extrusion (MEX) process parameters on dimensional aspects of polycaprolactone for coronary stent applications

Nur Amalina Muhammad, Asnul Hadi Ahmad, Noorhafiza Muhammad, Shayfull Zamree Abd Rahim, Siti Noor Fazliah Mohd Noor, Mohd Shuhidan Saleh, Kamalakanta Muduli, Kuang Yee Ng
article en

Abstract

Ensuring dimensional accuracy in material extrusion (MEX) polycaprolactone (PCL) stents is critical for clinical performance, yet published studies report inconsistent parameter effects. This work systematically evaluated four MEX process parameters—extrusion temperature (TE), material deposition speed (vD), extrusion multiplier (ME) and layer thickness (tL)—on strut width (wS), stent thickness (tS) and stent length (lS) across three representative geometries (Hybrid A, Hybrid C, Chevron B). Twenty-one parameter combinations were experimentally tested, with dimensional data measured by optical microscopy and subsequently analysed using ANOVA and response-surface modelling (RSM) to quantify main effects, interactions and optimise outcomes. Results showed that ME and TE dominated wS and lS deviations, tL most strongly influenced tS, while vD had only minor, geometry-dependent effects. Complex geometries with acute angles (Chevron B) amplified interaction effects and trade-offs between dimensions. RSM multi-factor optimisation combined with experiments identified compromise windows balancing wS, tS and lS (TE: 150–180 °C, vD: 30–50 mm/s, ME: 130–140%, tL: 0.2 mm). Stent geometry critically governs parameter sensitivity, indicating that robust MEX-based fabrication of PCL stents requires geometry-aware optimisation rather than universal approach.

The International Journal of Advanced Manufacturing Technology
Universiti Malaysia Pahang Al-Sultan Abdullah (MY), Papua New Guinea University of Technology (PG), Universiti Sains Malaysia (MY), Universiti Malaysia Perlis (MY)
Universiti Malaysia Perlis
Openalex Percentile: Top 24%
Coronary Interventions and Diagnostics
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