Data analysis for investigating the tribological behaviors of aluminum-silicon alloys

被引：2

作者：

Azadi, Mahboobeh ^{[1
]}

Azadi, Mohammad ^{[2
]}

机构：

[1] Semnan Univ, Fac Mat & Met Engn, Semnan, Iran

[2] Semnan Univ, Fac Mech Engn, Semnan, Iran

来源：

DATA IN BRIEF | 2022年 / 42卷

关键词：

Wear dataset; Nanoparticles; Hardness; Elastic module; Nanocomposite; Aluminum alloys;

D O I：

10.1016/j.dib.2022.108260

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This dataset describes the tribological properties of aluminum-silicon alloys when reinforced with two types of nanoparticles: silica and clay. Moreover, two types of aluminum-silicon alloys were chosen as matrices. These alloys are used in the piston and cylinder-head parts of an automobile engine part. The percentage of nanoparticles was about 1 wt. %. All specimens were developed through the stir casting method. The range of casting temperature was about 700 -850 degrees C. Stirring times for aluminum alloy melts were 2 and 4 min. Ageing heat treatment was also applied for some specimens after the casting process. The Vickers hardness instrument, a pin-on-disk tribometer, and compression test were utilized to collect the data. In addition, to analyze data, a Design-Expert software was used. The data contain hardness, wear rate, friction coefficient, and compression elastic module for aluminum-silicon alloy specimens. (C) 2022 The Author(s). Published by Elsevier Inc.

引用

页数：17

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