Optimization of wear performance and COF of AISI 1040 steel using grey relational analysis

被引：2
|
作者：
Agrawal, Rohit [1 ]
Mukhopadhyay, Arkadeb [1 ]
机构：
[1] Birla Inst Technol, Dept Mech Engn, Ranchi 835215, Bihar, India
来源：
MATERIALS TODAY-PROCEEDINGS | 2022年 / 61卷
关键词：
AISI; 1040; steel; Wear rate; COF; GRA; Optimization; ACID-FORMING SURFACES; TRIBOLOGICAL PROPERTIES; SELF-LUBRICATION; SOLID LUBRICANT; BORIC-ACID; FILMS; MECHANISMS;
D O I：
10.1016/j.matpr.2022.03.665
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The present work investigates the wear performance of AISI 1040 steel under dry sliding conditions and its optimization using a Grey Relational Analysis (GRA). On a pin-on-disc tribometer, sliding wear tests were performed by varying the load (10-100 N), sliding speed (0.5-1.5 m/s), and sliding distance (400-1000 m). Three levels of variation were used in the test parameters. Taguchi's L-9 orthogonal array (OA) was used in the present experiments. GRA was used to predict an optimal condition (load 50 N, sliding speed 0.5 m/s, sliding distance 700 m) that would result in enhanced COF and wear rate of AISI 1040 steel under dry sliding conditions. (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页码：110 / 114
页数：5
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