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Material extrusion of low-thermal-expansion cordierite ceramics: Process optimization and performance evaluation by data-driven technique

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Abstract

Material extrusion of cordierite ceramics faces challenges in fabricating dense, high-strength components due to non-linear parameter coupling. To address this, a two-stage framework based on Latin hypercube sampling is proposed. The first stage employs planar dimensional deviation of green bodies for rapid, non-destructive screening to filter impractical parameters prior to sintering. The second stage optimizes flexural strength of sintered bodies under dimensional constraints, enabling a decoupled enhancement of mechanical performance. Sensitivity analysis reveals that layer height (41.8%) and nozzle temperature (39.0%) govern dimensional deviation, whereas layer height is the dominant factor (60.7%) governing flexural strength, which is further validated by the evolution of microstructural defects. Under optimized conditions, the green bodies achieve a planar dimensional deviation of <0.25%, while the sintered samples reach a flexural strength of 196.8 MPa after hot isostatic pressing. To validate the proposed framework, a 148-mm lightweight mirror is successfully fabricated, exhibiting near-zero thermal expansion (−0.45 to 0.05 × 10−6/K, 0–50 °C). This study provides a useful insight into the development of a data-driven fused deposition modeling strategy for the fabrication of high-performance ceramic components.
Original languageEnglish
Article number115993
Pages (from-to)1-13
Number of pages13
JournalMaterials and Design
Volume265
Early online date13 Apr 2026
DOIs
Publication statusPublished - May 2026

Keywords

  • Cordierite ceramic
  • Material extrusion
  • Low thermal expansion
  • Artificial neural network
  • Latin hypercube sampling

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