Prediction of Machining Performances in Hardened AISI D2 Steel

被引:6
|
作者
Kumar, Ramanuj [1 ]
Sahoo, Ashok Kumar [1 ]
Mishra, Purna Chandra [1 ]
Panda, Amlana [1 ]
Das, Rabin Kumar [1 ]
Roy, Soumikh [1 ]
机构
[1] KIIT Deemed Univ, Sch Mech Engn, Bhubaneswar 24, Odisha, India
关键词
Surface roughness; Hard part turning; Chip-tool interface temperature; Chip reduction coefficient; Flank wear; Regression modelling; SURFACE-ROUGHNESS; CERAMIC TOOLS; OPTIMIZATION; PARAMETERS; WEAR; GEOMETRY; FINISH;
D O I
10.1016/j.matpr.2019.07.105
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The current research focuses on predicting the surface roughness, the flank wear and (chip-tool) interface temperature when turning the hardened AISI D2 (55 +/- 1 HRC) employing a mixed ceramic (Al2O3 + TiCN) tool in dry condition. Quadratic regression methodology has been introduced and their performances are compared on basis of mean error percentage among experimental and expected data. Normal probability plots are developed to understand the distribution of result data. ANOVA is implemented for all responses showing significant established regression models at 95 % of the level of confidence. 3D surface graph indicates that the feed is the most dominant term for Ra while cutting speed was more dominant for T and VBc. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2486 / 2495
页数:10
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