基于 SSA-GDA-LSSVM 模型的润滑脂性能和最佳添加剂比例预测

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Tribology International Pub Date : 2024-11-05 DOI:10.1016/j.triboint.2024.110366

Yanqiu Xia, Hanbin Zhao, Xin Feng

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引用次数: 0

摘要

本文针对聚四氟乙烯润滑脂中三种添加剂的复配问题，提出了一种基于 SSA-GDA-LSSVM 的机器学习模型，用于预测聚四氟乙烯润滑脂的摩擦学性能和添加剂的最佳配比。高斯数据增强扩展了实验数据，麻雀算法优化了最小二乘支持向量机的超参数。SHAP 分析澄清了模型预测，非支配排序遗传算法确定了最佳添加剂比率，并通过实验进行了验证。结果表明，模型预测的摩擦系数和磨损疤痕宽度的 R² 值超过了 0.97，最佳比率的实验误差小于 1%。

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Prediction of grease performance and optimal additive ratio based on the SSA-GDA-LSSVM model

In this paper, to address the issue of compounding three additives in PTFE grease, we propose a machine learning model based on SSA-GDA-LSSVM to predict both the tribological performance and the optimal ratio of additives in PTFE grease. Gaussian data augmentation expanded the experimental data, and the Sparrow Algorithm optimized hyperparameters of the Least Squares Support Vector Machine. SHAP analysis clarified model predictions, and a Non-Dominated Sorting Genetic Algorithm identified optimal additive ratios, which were experimentally validated. The results showed that the model predicted friction coefficients and wear scar widths with R² values exceeding 0.97, and the experimental error for optimal ratios was less than 1 %.

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来源期刊

Tribology International 工程技术-工程：机械

CiteScore

10.10

自引率

16.10%

发文量

627

审稿时长

35 days

期刊介绍： Tribology is the science of rubbing surfaces and contributes to every facet of our everyday life, from live cell friction to engine lubrication and seismology. As such tribology is truly multidisciplinary and this extraordinary breadth of scientific interest is reflected in the scope of Tribology International. Tribology International seeks to publish original research papers of the highest scientific quality to provide an archival resource for scientists from all backgrounds. Written contributions are invited reporting experimental and modelling studies both in established areas of tribology and emerging fields. Scientific topics include the physics or chemistry of tribo-surfaces, bio-tribology, surface engineering and materials, contact mechanics, nano-tribology, lubricants and hydrodynamic lubrication.