遇见数据集

TPV橡塑密封条耐磨性能预测数据

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浙江省数据知识产权登记平台2024-12-09 更新2024-12-10 收录
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橡胶耐磨性是决定橡胶制品寿命的关键因素,但是橡胶的耐磨性机理复杂、影响因素多,不易预测和调控,而橡胶的力学性能机理较明确,容易测得。因此,需要建立橡胶材料的耐磨性能和力学性能之间的关系模型,以达到利用力学性能预测和调控橡胶耐磨性能的目的。本数据是采用多元线性回归法建立了复合橡胶材料的耐磨性能和力学性能之间的模型关系,从而达到预测复合橡胶材料耐磨性能的目的。选用阿克隆磨耗量作为因变量y来表征复合橡胶材料的耐磨性能,阿克隆磨耗量值越大,即证明复合橡胶材料耐磨性越差;阿克隆磨耗量值越小,即证明复合橡胶材料耐磨性越好。选用邵氏A硬度x1,100%定伸x2,200%定伸X3,200%定伸/100%定伸x4,拉伸强度x5,扯断伸长率x6,撕裂强度x7,永久变形x8作为自变量,利用 MATLAB 语言regress 语句拟合样本数据,得到回归模型系数,建立了复合橡胶材料的耐磨性能和邵氏A硬度,100%定伸,200%定伸,200%定伸/100%定伸,拉伸强度,扯断伸长率,撕裂强度和永久变形的多元线性回归模型,用于预测复合橡胶材料的耐磨性能。

Abrasion resistance is a critical factor governing the service life of rubber products. However, the abrasion resistance mechanism of rubber is complex and involves numerous influencing factors, rendering it challenging to predict and regulate. By contrast, the mechanical performance mechanisms of rubber are relatively well-understood and readily measurable. Thus, it is imperative to develop a relational model between the abrasion resistance and mechanical properties of rubber materials, to enable the prediction and regulation of rubber abrasion resistance via their mechanical performance data. This dataset establishes a model correlating the abrasion resistance and mechanical properties of composite rubber materials via multiple linear regression, with the goal of predicting the abrasion resistance of such composite rubber materials. Akron abrasion loss was selected as the dependent variable y to characterize the abrasion resistance of the composite rubber materials. Specifically, a higher Akron abrasion loss value corresponds to poorer abrasion resistance of the composite rubber material, while a lower value indicates better abrasion resistance. The following eight indicators were selected as independent variables: Shore A hardness (x₁), 100% modulus (x₂), 200% modulus (x₃), 200% modulus / 100% modulus (x₄), tensile strength (x₅), elongation at break (x₆), tear strength (x₇), and permanent set (x₈). Sample data was fitted using the `regress` function in MATLAB to derive the coefficients of the regression model. A multiple linear regression model was thus constructed between the abrasion resistance of composite rubber materials and the aforementioned eight mechanical performance indicators, for the purpose of predicting the abrasion resistance of composite rubber materials.

创建时间:
2024-10-29
搜集汇总
数据集介绍
TPV橡塑密封条耐磨性能预测数据 数据集图片
特点
该数据集由兴宇汽车零部件股份有限公司提供,包含1199条记录,每年更新,用于通过多元线性回归模型预测复合橡胶材料的耐磨性能。数据包括邵尔A硬度、定伸强度、拉伸强度等多个力学性能指标,旨在建立这些指标与耐磨性能之间的关系模型。
以上内容由遇见数据集搜集并总结生成
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