Trial Production of Heavy-Duty Metal Rubber Based on Predictive Model of Relative Density Mechanics  

基于相对密度力学预测模型的大载荷金属橡胶构件试制

作　　者：Hao Huirong Wang Jiawei Zhao Wenchao Ren Jiangpeng 郝慧荣;王佳苇;赵文超;任江鹏(内蒙古工业大学能源与动力工程学院,内蒙古呼和浩特010080)

机构地区：[1]College of Energy and Power Engineering,Inner Mongolia University of Technology,Hohhot 010080,China

出　　处：《稀有金属材料与工程》2025年第3期604-611,共8页Rare Metal Materials and Engineering

基　　金：National Natural Science Foundation of China(12262028);Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region(NJYT22085);Inner Mongolia Autonomous Region Science and Technology Plan Project(2021GG0437)。

摘　　要：The predictive model and design of heavy-duty metal rubber shock absorber for the powertrains of heavy-load mining vehicles were investigated.The microstructural characteristics of the wire mesh were elucidated using fractal graphs.A numerical model based on virtual fabrication technique was established to propose a design scheme for the wire mesh component.Four sets of wire mesh shock absorbers with various relative densities were prepared and a predictive model based on these relative densities was established through mechanical testing.To further enhance the predictive accuracy,a variable transposition fitting method was proposed to refine the model.Residual analysis was employed to quantitatively validate the results against those obtained from an experimental control group.The results show that the improved model exhibits higher predictive accuracy than the original model,with the determination coefficient(R^(2))of 0.9624.This study provides theoretical support for designing wire mesh shock absorbers with reduced testing requirements and enhanced design efficiency.针对大载荷矿用车动力总成悬置系统,研究了大载荷金属橡胶减振器的设计与预测模型。通过基于分形图学描述金属橡胶的微观结构特征,并利用虚拟制备技术建立数值模型,提出了金属橡胶构件的设计方案。试制了4组不同相对密度的金属橡胶减振器,并通过力学试验建立了基于相对密度的预测模型。为进一步提高预测精度,提出了一种变量转置拟合法对预测模型进行改进。通过与对照组试验结果对比,用残差分析定量验证。结果显示,改进后的模型具有较高的预测精度,决定系数R^(2)达到0.9624。这项研究为金属橡胶减振器设计提供了理论支持,可减少试验次数并提高设计效率。

关 键 词：metal rubber fractal graph preparation process mechanical model properties prediction 

分 类 号：TB332[一般工业技术—材料科学与工程]