Some studies on hard turning of AISI 4340 steel using multilayer coated carbide tool

Measurement ◽  
2012 ◽  
Vol 45 (7) ◽  
pp. 1872-1884 ◽  
Author(s):  
R. Suresh ◽  
S. Basavarajappa ◽  
G.L. Samuel
Keyword(s):  
Hard Turning ◽  
Carbide Tool ◽  
Aisi 4340 Steel ◽  
Coated Carbide Tool ◽  
4340 Steel ◽  
Coated Carbide ◽  
Aisi 4340

Turning of hardened AISI 4340 steel using coated carbide tool

2017 ◽  
Author(s):  
José Miguel ◽  
Marcos Ribeiro ◽  
Jose Souza ◽  
Marcel Kondo ◽  
Manoel Alves
Keyword(s):  
Carbide Tool ◽  
Aisi 4340 Steel ◽  
Coated Carbide Tool ◽  
4340 Steel ◽  
Coated Carbide ◽  
Aisi 4340

scholarly journals Experimental investigation on hard turning of AISI 4340 steel using cemented coated carbide insert

2018 ◽  
Vol 314 ◽  
pp. 012004
Author(s):  
J Pradeep Kumar ◽  
K P Kishore ◽  
M Ranjith Kumar ◽  
K R Saran Karthick ◽  
S Vishnu Gowtham
Keyword(s):  
Experimental Investigation ◽  
Hard Turning ◽  
Aisi 4340 Steel ◽  
4340 Steel ◽  
Coated Carbide ◽  
Carbide Insert ◽  
Aisi 4340

scholarly journals Evaluation The Performance Of Cvd And Pvd Coated Carbide Tool In Hard Turning Of Aisi-4340 Steel

2021 ◽  
Vol 23 (10) ◽  
pp. 272--280
Author(s):  
Mir Qurrat Ul Ain ◽  
◽  
Manjit Singh ◽  
Kapil Prashar ◽  
◽  
...  
Keyword(s):  
Hard Turning ◽  
Flank Wear ◽  
Work Piece ◽  
Aisi 4340 Steel ◽  
4340 Steel ◽  
Cutting Rate ◽  
Cutting Velocity ◽  
The Impact ◽  
Coated Carbide ◽  
Aisi 4340

The work introduced in this proposal tends to the surface unpleasantness and flank wear during hard turning of AISI 4340 steel (33HRC) utilizing CVD (TiCN/Spasm/Al2O3/TiN) multi-facet covered carbide device and PVD (TiCN/Al2O3) covered carbide device. Three variables (cutting rate, feed and profundity of cut) and three level factorial test plans with Taguchi’s L9OA and factual examination of difference were acted to explore the impact of these cutting boundaries on the apparatus and work piece as far as flank wear, and surface harshness. Additionally the examination of these impacts between previously mentioned sorts of apparatuses was finished. The outcomes show that for surface unpleasantness and flank wear, feed and cutting velocity were measurably huge and profundity of cut had least impact on both surface harshness and flank wear. For surface harshness, feed was more huge followed by cutting velocity for the two sorts of devices, while as, for flank wear cutting pace was more huge followed by feed for the two kinds of instruments. Surface completion was estimated in Ra boundary and a decent surface completion was acquired by PVD covered apparatus at low and medium rates, anyway with the speeding up the CVD covered carbide device showed better surface completion. Flank wear was estimated by utilizing optical magnifying instrument and the outcomes show that more wear happened in PVD covered carbide apparatus when contrasted with CVD covered carbide device under same cutting boundaries and natural conditions. Consequently for better surface completion at low and medium velocities PVD covered carbide apparatus is better and for higher paces, CVD covered carbide device is ideal. For low apparatus wear, CVD covered carbide device is liked.

scholarly journals Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool

2017 ◽  
Vol 65 (4) ◽  
pp. 553-559 ◽  
Author(s):  
D. Rajeev ◽  
D. Dinakaran ◽  
S.C.E. Singh
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Tool Wear ◽  
Hard Turning ◽  
Cutting Tool ◽  
Carbide Tool ◽  
Online Tool ◽  
Coated Carbide Tool ◽  
Tool Wear Estimation ◽  
Coated Carbide

AbstractNowadays, finishing operation in hardened steel parts which have wide industrial applications is done by hard turning. Cubic boron nitride (CBN) inserts, which are expensive, are used for hard turning. The cheaper coated carbide tool is seen as a substitute for CBN inserts in the hardness range (45–55 HRC). However, tool wear in a coated carbide tool during hard turning is a significant factor that influences the tolerance of machined surface. An online tool wear estimation system is essential for maintaining the surface quality and minimizing the manufacturing cost. In this investigation, the cutting tool wear estimation using artificial neural network (ANN) is proposed. AISI4140 steel hardened to 47 HRC is used as a work piece and a coated carbide tool is the cutting tool. Experimentation is based on full factorial design (FFD) as per design of experiments. The variations in cutting forces and vibrations are measured during the experimentation. Based on the process parameters and measured parameters an ANN-based tool wear estimator is developed. The wear outputs from the ANN model are then tested. It was observed that as the model using ANN provided quite satisfactory results, and that it can be used for online tool wear estimation.

Wear mechanism of a coated carbide tool in cryogenic machining of AISI 4340

2019 ◽  
Vol 72 (4) ◽  
pp. 509-514 ◽  
Author(s):  
Shalina Sheik Muhamad ◽  
Jaharah A. Ghani ◽  
Che Hassan Che Haron ◽  
Hafizal Yazid
Keyword(s):  
Wear Mechanisms ◽  
Cutting Speed ◽  
Optical Microscope ◽  
Carbide Tool ◽  
Cryogenic Machining ◽  
Content Type ◽  
Coated Carbide Tool ◽  
Adhesion Wear ◽  
Coated Carbide ◽  
Aisi 4340

Purpose The purpose of this study is to investigate wear mechanisms of a multi-layered TiAlN/AlCrN-coated carbide tool during the milling of AISI 4340 steel under cryogenic machining. Design/methodology/approach The wear progression was measured using a toolmaker microscope and an optical microscope. Later, a field emission scanning electron microscope and energy-dispersive X-ray analysis were used to investigate the wear mechanisms in detail. Findings A comprehensive analysis revealed that the main causes of tool wear mechanisms were abrasion and adhesion wear on the flank face. Originality/value The investigations presented in this paper may be used by the machining industry to prolong the tool life at higher cutting speed by the application of liquid nitrogen.

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