已知方程修正后的新粉末压模方程:第 2 部分--M Yu Balshin 公式的现代化

Powders Pub Date : 2024-03-19 DOI:10.3390/powders3010009
Anatolii V. Laptiev
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引用次数: 0

摘要

基于 M. Yu.Balshin 在粉末压实过程(PCP)离散模型框架内的著名方程的基础上,推导出了两个新的粉末模压方程,它们显示了压实压力 p 与粉末样品相对密度 ρ 的关系。第一个方程 p=w(1-ρ0)(n-m)-(ρ-ρ0)n(1-ρ)m,除了粉末在模具中的初始密度 ρ0,还包含三个常数参数-w、n 和 m。这两个方程中的常量参数值是根据这些方程的理论曲线与实验粉末压实曲线拟合确定的。通过对各种粉末(包括铁、铜和镍等普通金属粉末、锡和铅等高塑性粉末、塑性粉末(镍)与非塑性粉末(Al2O3)的混合物、镀镍氧化铝粉末以及脆性化合物粉末,特别是碳化钛 TiC)的压实实验数据进行近似分析,验证了这些方程对 PCP 描述的充分性。所提出的方程可以高精度地描述 PCP,其判定系数 R2 达到 0.9900 到 0.9999 之间。尽管存在孔隙,但当压力增加到极高水平时,样品的密度就会停止增加,此时四常数方程可以非常准确地从头到尾描述 PCP。
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New Die-Compaction Equations for Powders as a Result of Known Equations Correction: Part 2—Modernization of M Yu Balshin’s Equations
Based on the generalization of M. Yu. Balshin’s well-known equations in the framework of a discrete model of powder compaction process (PCP), two new die-compaction equations for powders have been derived that show the dependence of the compaction pressure p on the relative density ρ of the powder sample. The first equation, p=w(1−ρ0)(n−m)·(ρ−ρ0)n(1−ρ)m, contains, in addition to the initial density ρ0 of the powder in die, three constant parameters—w, n and m. The second equation in the form p=H1−ρ0b−c·ρ−ρ0b1−ρ0c−aρ−ρ0c also takes into account the initial density of the powder and contains four constant parameters H, a, b, and c. The values of the constant parameters in both equations are determined by fitting the theoretical curve according to these equations to the experimental powder compaction curve. The adequacy of the PCP description with these equations has been verified by approximating experimental data on the compaction of various powders, including usual metal powders such as iron, copper, and nickel, highly plastic powders such as tin and lead, a mixture of plastic powder (Ni) with non-plastic powder (Al2O3), nickel-plated alumina powder, as well as powder of a brittle compound, in particular titanium carbide TiC. The proposed equations make it possible to describe PCP with high accuracy, at which the coefficient of determination R2 reaches values from 0.9900 to 0.9999. The four-constant equation provides a very accurate description of PCP from start to finish when the density of the samples stops increasing once the pressure increases to an extremely high level, despite the presence of porosity.
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