Mechanism Study on the Effect of Retarder on Polyurethane Setting Time Based on Molecular Simulation

Yuxuan Wu , Wenyuan Xu , Tianlai Yu , Yongcheng Ji

Journal of Wuhan University of Technology Materials Science Edition ›› 2025, Vol. 40 ›› Issue (1) : 224 -231.

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Journal of Wuhan University of Technology Materials Science Edition ›› 2025, Vol. 40 ›› Issue (1) : 224 -231. DOI: 10.1007/s11595-025-3056-1
Organic Materials

Mechanism Study on the Effect of Retarder on Polyurethane Setting Time Based on Molecular Simulation

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Abstract

This study identified castor oil and phosphate ester as effective retarders through setting time, tensile, and flexural tests, and determined their optimal dosages. The mechanism by which phosphate ester affects the setting time of polyurethane was further investigated using molecular dynamics simulations. Fourier transform infrared spectroscopy was also employed to systematically study the physical and chemical interactions between phosphate esters and polyurethane materials. The results demonstrate that a 1% concentration of phosphate ester provides the most effective retarding effect with minimal impact on the strength of polyurethane. When phosphate ester is added to the B component of the two-component polyurethane system, its interaction energy with component A decreases, as do the diffusion coefficient and aggregation degree of component B on the surface of component A. This reduction in interaction slows the setting time. Additionally, the addition of phosphate ester to polyurethane leads to the disappearance or weakening of functional groups, indicating competitive interactions within the phosphate ester components that inhibit the reaction rate.

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Yuxuan Wu, Wenyuan Xu, Tianlai Yu, Yongcheng Ji. Mechanism Study on the Effect of Retarder on Polyurethane Setting Time Based on Molecular Simulation. Journal of Wuhan University of Technology Materials Science Edition, 2025, 40(1): 224-231 DOI:10.1007/s11595-025-3056-1

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References

[1]

Ahirwar D, Telang A, Purohit R, et al.. A Short Review on Polyurethane Polymer Composite[J]. Mater. Today Proc., 2022, 62(6): 3 804-3 810

[2]

Wu Y, Xu W, Yu T, et al.. A Study on the Bonding Performance of PU/ AC Interface[J]. Case Stud. Constr. Mater., 2023, 19: e02 428

[3]

Mohamed T S, Nassef E, Morsy A, et al. Enhancing 3D Printing Sustainability: Reinforcing Thermoplastic Polyurethane with Recycled Polyurethane Foam for Durable Applications in Orthopedic Foot-wear[J]. J. Vinyl Addit. Technol., 2024

[4]

Liu Z, Tang Z, Yang L, et al.. Deterioration Reason and Improvement Measure of the Retarding Effect of Protein Retarder on Phosphorus Building Gypsum[J]. J. Wuhan Univ. Technol. -Mater. Sci. Ed., 2024, 39(4): 962-967

[5]

Wu W, Yu X, Hu A, et al.. Amphoteric Retarder for Long-Standing Cementing: Preparation, Properties and Working Mechanism[J]. Geoenergy Sci. Eng., 2023, 223: 211 524

[6]

Hong B, Lu G, Gao J, et al.. Evaluation of Polyurethane Dense Graded Concrete Prepared Using the Vacuum Assisted Resin Transfer Molding Technology[J]. Constr. Build. Mater., 2021, 269: 121 340

[7]

Li L, Yu T. Curing Comparison and Performance Investigation of Polyurethane Concrete with Retarders[J]. Constr. Build. Mater., 2022, 326: 126 883

[8]

Yu R, Wang Q, Wang W, et al.. Polyurethane/Graphene Oxide Nano-composite and Its Modified Asphalt Binder: Preparation, Properties and Molecular Dynamics Simulation[J]. Mater. Des., 2021, 209: 109 994

[9]

Goclon J, Panczyk T, Winkler K. Investigation of the Interfacial Properties of Polyurethane/Carbon Nanotube Hybrid Composites: A Molecular Dynamics Study[J]. Appl. Surf. Sci., 2018, 433: 213-221

[10]

Shi S, Liu Q, Xu T, et al.. Study on the Effect of Transition Temperature on Shape Memory Behavior in Polyurethane Based on Molecular Dynamics Simulation[J]. Mater Res. Express, 2019, 6(11): 115 323

[11]

Ministry of Transport of the People’s Republic of China. Testing Methods of Cement and Concrete for Highway Engineering, 2020 [S]. JTG 34202020

[12]

Chen J, Wang W, Sun H, et al.. Roles of Accelerated Molecular Dynamics Simulations in Predictions of Binding Kinetic Parameters[J]. Mini Rev. Med. Chem., 2024, 24(14): 1 323-1 333

[13]

Zhao C, Zhou J, Zhong K, et al.. Enhancing Understanding Metal Matrix Composites Through Molecular Dynamics Simulation: A Comprehensive Review[J]. Comput. Mater. Sci, 2024, 239: 112 993

[14]

Ludwig V, Da Costa Ludwig Z M, Modesto M A, et al.. Binding Energies and Hydrogen Bonds Effects on DNA-Cisplatin Interactions: a DFT-xTB Study[J]. J. Mol. Model., 2024, 30(6): 187 1–9)

[15]

Stöhr M, Van Voorhis T, Tkatchenko A. Theory and Practice of Modeling Van Der Waals Interactions in Electronic-Structure Calculations[J]. Chem. Soc. Rev., 2019, 48(15): 4 118-4 154

[16]

Xue B, Li B, Jin S, et al.. Effects of the Diffusion Path on the Effective Diffusion Coefficient of Hydrogen Isotope in Tungsten with Helium Bubbles[J]. J. Nucl. Mater., 2024, 599: 155 184

[17]

Bi J, Li J, Chen Z, et al.. Model for the Diffusion of N-alkane Confined in Nanopores: Effect of the Fluid/Pore-Wall Interaction[J]. Eur. Assoc. Geosci. Eng., 2021, 209: 1-14

[18]

Fu Z, Tang Y, Peng C, et al.. Properties of Polymer Modified Asphalt by Polyphosphoric Acid Through Molecular Dynamics Simulation and Experimental Analysis[J]. J. Mol. Liq., 2023, 382: 121 999

[19]

Liu H. Simple and Accurate Expressions for Radial Distribution Functions of Hard Disk and Hard Sphere Fluids[J]. Mol. Phys., 2024, 122: e2 299 250

[20]

Dimitroulis C, Raptis T, Raptis V. POLYANA—A Tool for the Calculation of Molecular Radial Distribution Functions Based on Molecular Dynamics trajectories[J]. Comput. Phys. Commun., 2015, 197: 220226

[21]

Hoffmann G G. Infrared and Raman Spectroscopy: Principles and Applications, 2023, Berlin, Walter de Gruyter GmbH & Co KG M]

[22]

Dai J, Chen P, Chu X, et al.. Data Fusion of Near Infrared, Fourier Transform Infrared and Raman Spectroscopy for Quantifying the Conversion of Poly Alpha Oil (PAO)[J]. Fuel, 2024, 366: 131 420

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