Optimization of Cutting Parameters in Dry Turning of AISI 4340 Hardened Alloy Steel with Multilayered Coated Carbide Tool

Author(s):  
Sandip Mane ◽  
Anjali Mishra ◽  
Vaidehi Kannawar
2019 ◽  
Vol 72 (4) ◽  
pp. 509-514 ◽  
Author(s):  
Shalina Sheik Muhamad ◽  
Jaharah A. Ghani ◽  
Che Hassan Che Haron ◽  
Hafizal Yazid

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.


Measurement ◽  
2012 ◽  
Vol 45 (7) ◽  
pp. 1872-1884 ◽  
Author(s):  
R. Suresh ◽  
S. Basavarajappa ◽  
G.L. Samuel

Author(s):  
Weiwei Liu ◽  
Yuan Hu ◽  
Jianwu Zhou ◽  
Renjie Lu ◽  
Chengzhou Wang

Composite machining is one of the hot researches currently, and optimal cutting parameters are particularly important to get ideal surface and reduce processing cost of workpiece. By comparison, the present paper selects the surface root mean square deviation Sq as the three-dimensional evaluation parameter of surface roughness to reflect the special appearance after cutting accurately. The single-factor experiment and orthogonal experiment were conducted to study the machining defects emerged and effect of parameters on surface roughness when side milling CFRP (Carbon Fiber Reinforced Plastics) with diamond coated carbide tool. The mapping relationship between cutting parameters and surface roughness was established based on the experiment results. Then, the cutting parameters were optimized by using genetic algorithm with two conflicting objectives: material removal rate and surface roughness. The experiment results show that the proposed method is feasible and effective, and can provide references for the actual processing of CFRP.


2021 ◽  
Vol 1034 (1) ◽  
pp. 012099
Author(s):  
Mahros Darsin ◽  
Rika Dwi Hidayatul Qoryah ◽  
Robertus Sidartawan ◽  
Allen Luviandy ◽  
Aris Zainul Muttaqin ◽  
...  

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