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Metal Mine ›› 2026, Vol. 55 ›› Issue (4): 93-107.

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Mechanical Properties Simulation and Preparation Optimization of 3D Printing Transparent Rock-like Materials Based on Machine Learning#br#

HE Yilin1 QIAN Ziwei1 XIE Shiping2 LIU Jufeng1   

  1. 1. School of Resources and Geosciences,China University of Mining and Technology,Xuzhou 221008,China;
    2. Changsha Institute of Mining Research Co. ,Ltd. ,Changsha 410000,China
  • Online:2026-04-15 Published:2026-05-08

Abstract: In this study,a transparent 3D printing rock-like material system based on light-cured resin was constructed to
solve the contradiction between the transparency and mechanical properties of rock physical simulation materials. Based on the
3D printing resin material,a standard sample was made. Through 25 sets of uniaxial compression tests with two factors and five
levels,the data of transmittance,elastic modulus,compressive strength and peak strain of the material were obtained,and the
sensitivity of different material components to these performance indexes was discussed. Subsequently,the random forest algorithm
and NSGA-Ⅱ multi-objective optimization method were used to systematically explore the coupling mechanism of the ratio
of flexible resin and cleaning agent on the optical-mechanical properties of materials. It is found that the content of flexible
resin plays a dominant role in the regulation of light transmittance and peak strain. The cleaning agent mainly affects the attenuation
law of elastic modulus and compressive strength. The multi-objective optimization results reveal the performance trade-off
law of ′high transmittance-high elastic modulus′ and ′high peak strain-high compressive strength′,and screen out the optimal
formula matching the mechanical characteristics of sandstone,mudstone and coal rock. The synergistic regulation of transmittance
and mechanical parameters is realized,which lays a material foundation for the visualization study of rock mass deformation
and failure.

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