Hybrid optimal scheme for minimizing machining force and surface roughness in hard turning of AISI 52100 steel
نویسندگان
چکیده
منابع مشابه
Surface Roughness, Machining Force and FlankWear in Turning of Hardened AISI 4340 Steel with Coated Carbide Insert: Cutting Parameters Effects
The current experimental study is to investigate the effects of process parameters (cutting speed, feed rate and depth of cut) on performance characteristics (surface roughness, machining force and flank wear) in hard turning of AISI 4340 steel with multilayer CVD (TiN/TiCN/Al2O3) coated carbide insert. Combined effects of cutting parameter (v, f, d) on performance outputs (Ra, Fm and VB) ar...
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The use of multilayer coated carbide tool in hard turning has several advantages over grinding process such as; reduction of processing costs, increased productivity, short cycle time, compatible surface roughness and less enviornment problems without the use of cutting fluid. In the present study, an attempt has been made to evaluate the performance of multilayer coated carbide inserts during ...
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In this study, 39 sets of hard turning (HT) experimental trials were performed on a Mori-Seiki SL25Y (4-axis) computer numerical controlled (CNC) lathe to study the effect of cutting parameters in influencing the machined surface roughness. In all the trials, AISI 4340 steel workpiece (hardened up to 69 HRC) was machined with a commercially available CBN insert (Warren Tooling Limited, UK) unde...
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This paper deals with the study of various machining process and show the effect of different cutting parameters on the properties of material. There are several important factors in the product quality which are surface finish, cutting temperature, tool life and coolant quality. The use of coolant generally causes life of tools and it also maintains work piece surface properties without damage...
متن کاملPredicting Surface Roughness of AISI 4140 Steel in Hard Turning Process through Artificial Neural Network, Fuzzy Logic and Regression Models
In this study, the average surface roughness values obtained when turning AISI 4140 grade tempered steel with a hardness of 51 HRC, were modeled using fuzzy logic, artificial neural networks (ANN) and multi-regression equations. Input variables consisted of cutting speed (V), feed rate (f) and depth of cut (a) while output variable was surface roughness (Ra). Fuzzy logic and ANN models were dev...
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ژورنال
عنوان ژورنال: International Journal of Engineering, Science and Technology
سال: 2019
ISSN: 2141-2839,2141-2820
DOI: 10.4314/ijest.v11i3.3