On machining of hardened AISI D2 steel with PCBN tools

Arsecularatne, J.A.; Zhang, L.C.; Montross, C. S.; Mathew, P.

doi:10.1016/j.jmatprotec.2005.06.079

Cited by 114 publications

(54 citation statements)

References 16 publications

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“…On the other hand, the Vickers hardness of a sintered composite decreases from 42.0 to 37.5 GPa with increasing the SiCw component to 20 %. This interval of the Vickers hardness values for composites based on cBN produced at HPHT conditions is conclusive prerequisite to their application in cutting tools for turning of very hard steels [16]. The fracture toughness hasn't appreciable correlation with a change of the SiCw concentration up to 20 %.…”

Section: Resultsmentioning

confidence: 84%

Composites of the cBN–Si3N4 system reinforced by SiCw for turning tools

Osipov

Klimczyk

Cygan

et al. 2016

J. Superhard Mater.

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Section: Resultsmentioning

confidence: 84%

Composites of the cBN–Si3N4 system reinforced by SiCw for turning tools

Osipov

Klimczyk

Cygan

et al. 2016

J. Superhard Mater.

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“…Chen [12] investigated the cutting forces and surface roughness in the hardened steel machining process by using CBN cutting tools. Arsecularatne et al [13] studied AISI D2 machining process using PCBN tools. They stated that when cutting speed is 70 m/min., the most appropriate value of tool life and material removal rate are obtained.…”

Section: Introductionmentioning

confidence: 99%

Hybridizing a Multi Response Taguchi Algorithm with Reference Ideal Method to Solve Machining Problems

Sofuoğlu¹

2017

ijisae

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New materials lead to the occurrence of high technology industries. These materials are high strength, corrosion and heat resistant steel alloys, titanium, ceramics, composites, and other non-metallic materials. Conventional machining methods are not proper to machine these materials in terms of high surface quality. Such materials are generally processed using non-traditional machining methods. Multi criteria decision making models (MCDM) are extensively used in material-process selection, and optimization of machining problems in engineering. In this study, a novel hybrid optimization model is proposed. Taguchi method is hybridized with Reference Ideal Method. The model is tested using two case studies (conventional and non-traditional machining problems) taken from literature. The proposed model can be used by engineers and operators in manufacturing environment.

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“…As with the excellent synthetical performance such as high strength, heat resistance （1670-1770K）, good thermal conductivity and chemical inertia on iron and its alloy, PCBN has become a much more appropriate engineering material [2], which is suitable for high speed machining especially. The mechanism of tool wear has become more complicated with the increasing speed and temperature [3][4][5][6][7]. Wan Yi et al [8] considered that the mechanism of tool wear and damage during high speed machining were essentially different from that of the common traditional cutting speed machining.…”

Section: Introductionmentioning

confidence: 99%

Diffusion Wear of Al2O3 Ceramic Tools when Cutting Materials Based on Thermodynamics

Shao¹,

Wang²,

Xiao³

et al. 2017

dtetr

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ABSTRACT Cutting temperature always highly reaches over to 1000℃ when high speed machining with PCBN tools. Diffusion of tool material element may have important influence on tool wear at such high temperature, the diffusion wear and oxidation wear have become the major wear mechanism. In this paper, the rules of diffusion wear and oxidation wear for PCBN cutting tools are proposed and analyzed based on thermodynamics theory. Dissolution concentrations in typical normal workplace materials of PCBN tool material at different temperature are then calculated. Diffusion reaction rules in high temperature are developed and analyzed using Gibbs free energy criterion. The machining tests were conducted using the PCBN tools at different cutting speeds of 50, 95, 100 and 180 m/min, feed of 0.1, 0.2 and depth of cut of 0.1, 0.8, 1, and 1.5 mm respectively on PUMA300LM numerically-controlled lathe. It was found that the theoretical results were uniform with the experimental data; the results will provide useful references for tool material design and selection.

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On machining of hardened AISI D2 steel with PCBN tools

Cited by 114 publications

References 16 publications

Composites of the cBN–Si3N4 system reinforced by SiCw for turning tools

Composites of the cBN–Si3N4 system reinforced by SiCw for turning tools

Hybridizing a Multi Response Taguchi Algorithm with Reference Ideal Method to Solve Machining Problems

Diffusion Wear of Al2O3 Ceramic Tools when Cutting Materials Based on Thermodynamics

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