Investigation of Mechanical Properties of Grey Cast Irons Reinforced with Carbon Titanium Nitride (TiNC)

Author:

Yakut Rifat1ORCID

Affiliation:

1. Department of Energy Systems Engineering, Faculty of Technology, Batman University, Batman 72000, Türkiye

Abstract

In this study, grey cast iron (GG25) was produced via reinforcement with carbon titanium nitride (TiNC) in different amounts (0%, 0.153%, 0.204% and 0.255%). Samples were made from this material according to the standards for hardness, compression and wear, and then experiments were conducted. The test conditions applied for the TiNC-reinforced samples were similarly applied to unreinforced samples. The TiNC-reinforced and unreinforced samples were compared regarding their compression, hardness, and wear properties. The results of the hardness tests showed the highest average hardness value of 215 HB for sample A (0% TiNC). For TiNC-reinforced specimens, the hardness values of the reinforced specimens increased with increasing reinforcement. Sample B (0.153% TiNC) had an average hardness value of 193 HB. For sample C (0.204% TiNC), an average hardness value of 200 HB was measured. For sample D (0.255% TiNC), an average hardness value of 204 HB was determined. Sample A’s highest compression strength value was 780 MPA (0% TiNC). Similar to the hardness test values, the compression strength of the reinforced samples increased with the increasing reinforcement rate. The compression test value was found to be 747 MPa for sample B (0.153% TiNC), 765 MPa for sample C (0.204% TiNC) and 778 MPa for sample D (0.255% TiNC). Wear tests were performed on all samples to examine changes in the wear volume loss, wear rate and friction coefficients. Scanning electron microscopy (SEM) was used to determine the wear mechanisms on the worn surfaces of the samples. When examining the wear condition of the samples with the same hardness value as a function of increasing load values, increases in the wear volume loss values were observed as the load value increased.

Publisher

MDPI AG

Subject

Surfaces, Coatings and Films,Mechanical Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3