High speed turning of EN24 steel - a Taguchi based grey relational approach

被引:2
|
作者
Das, Diptikanta [1 ]
Mukherjee, Sagnik [1 ]
Dutt, Saurav [1 ]
Nayak, Bijaya Bijeta [1 ]
Sahoo, Ashok Kumar [1 ]
机构
[1] KIIT Univ, Sch Mech Engn, Bhubaneswar 751024, Odisha, India
关键词
EN24; Turning; Surface roughness; Taguchi; Grey relational analysis; SURFACE-ROUGHNESS; CUTTING PARAMETERS; FLANK WEAR; OPTIMIZATION; TOOL;
D O I
10.1016/j.matpr.2017.11.670
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Heat treated EN24 steel is turned with uncoated tungsten carbide inserts in dry cutting environment following Taguchi L16 design of experiments (DOE); and influence of machining process parameters on the surface roughness characteristics (i.e. Ra and Rz) is investigated. The multiple responses are optimized simultaneously using Taguchi based grey relational analysis. Analysis of Variance (ANOVA) for grey relational grade reveals that cutting speed is the most significant parameter followed by feed; and the influence of depth of cut is insignificant. Quadratic response surface models are generated for both the responses; and their adequacy is verified. (c) 2017 Elsevier Ltd. All rights reserved. Selection and/or Peer-review under responsibility of 7th International Conference of Materials Processing and Characterization.
引用
收藏
页码:4097 / 4105
页数:9
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