Optimization of the mechanical performance of TDI-based polyurethanes <i>via</i> orthogonal design and response surface methodology

The mechanical properties of polyurethane elastomers are primarily determined by their formulations and synthetic processes. Here, we present an in-depth investigation into the optimization of the mechanical performance of a toluene diisocyanate (TDI)-based polyurethane using orthogonal design and response surface methodology (RSM). The utmost mechanical performance with a tensile strength of 14.67 MPa and an elongation at break of 1160% was achieved. The model reliability in predicting the mechanical strength was validated with a reasonable accuracy error of 2.2%. The correlation between mechanical properties of the TDI-based polyurethane and factors including NCO/OH ratio (<i>R</i>-value), chain extension coefficient, crosslinking coefficient, and curing temperature was elucidated through a combination of Fourier transform infrared (FTIR) and Raman spectroscopy with RSM. A net positive interactive effect among the <i>R</i>-value, chain extension coefficient, and curing temperature was observed. Additionally, a volcano-shaped relationship was identified between tensile strength and the crosslinking coefficient, while a similar non-monotonic trend was found between elongation at break and curing temperature. Through multiple characterization experiments including equilibrium swelling measurements, differential scanning calorimetry (DSC) and scanning electron microscopy (SEM), the relationship between elastomer crosslink density and mechanical properties was systematically examined. This work provides valuable insights for the rational design of high-performance polymer materials.

Authors

Institutions

Publication Details

Journal
RSC Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ra02295a
Citations
1
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
0.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of the mechanical performance of TDI-based polyurethanes via orthogonal design and response surface methodology

Fu‐Zhen Xuan, Pengfei Tian, Tianjiao Hong, Yan Kang
1 citations
RSC Advances
Polymer composites and self-healing
0.61
article

Optimization of the mechanical performance of TDI-based polyurethanes via orthogonal design and response surface methodology

Fu‐Zhen Xuan, Pengfei Tian, Tianjiao Hong, Yan Kang
article en
1 citations

Abstract

The mechanical properties of polyurethane elastomers are primarily determined by their formulations and synthetic processes. Here, we present an in-depth investigation into the optimization of the mechanical performance of a toluene diisocyanate (TDI)-based polyurethane using orthogonal design and response surface methodology (RSM). The utmost mechanical performance with a tensile strength of 14.67 MPa and an elongation at break of 1160% was achieved. The model reliability in predicting the mechanical strength was validated with a reasonable accuracy error of 2.2%. The correlation between mechanical properties of the TDI-based polyurethane and factors including NCO/OH ratio (<i>R</i>-value), chain extension coefficient, crosslinking coefficient, and curing temperature was elucidated through a combination of Fourier transform infrared (FTIR) and Raman spectroscopy with RSM. A net positive interactive effect among the <i>R</i>-value, chain extension coefficient, and curing temperature was observed. Additionally, a volcano-shaped relationship was identified between tensile strength and the crosslinking coefficient, while a similar non-monotonic trend was found between elongation at break and curing temperature. Through multiple characterization experiments including equilibrium swelling measurements, differential scanning calorimetry (DSC) and scanning electron microscopy (SEM), the relationship between elastomer crosslink density and mechanical properties was systematically examined. This work provides valuable insights for the rational design of high-performance polymer materials.

RSC AdvancesVol. 15(27)
East China University of Science and Technology (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Rising-Star Program
Affordable and clean energy
Openalex Percentile: Top 34%
Polymer composites and self-healing
0.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.