Influence of CNC turning variables on high strength Beryllium-Copper (C17200) alloy using tungsten carbide insert

Alagarsamy, S.V.; Ravichandran, M.; Meignanamoorthy, M.; Chanakyan, C.; Kumar, S. Dinesh; Sakthivelu, S.

doi:10.1016/j.matpr.2020.01.260

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…The authors successfully determined the optimal values for cutting speed, feed rate, and depth of cut, to produce the best values regarding material removal rate and surface roughness. Another similar study, performed by Alagarsamy et al [45], also analyzed the influence of machining parameters in the material removal rate and produced surface roughness. Here, the authors considered three machining parameters, cutting speed, feed rate, and depth of cut.…”

Section: Introductionmentioning

confidence: 97%

Wear Behavior of Uncoated and Coated Tools in Milling Operations of AMPCO (Cu-Be) Alloy

et al. 2021

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Copper-Beryllium alloys have excellent wear resistance and high mechanical properties, they also possess good electrical and thermal conductivity, making these alloys very popular in a wide variety of industries, such as aerospace, in the fabrication of tools for hazardous environments and to produce injection molds and mold inserts. However, there are some problems in the processing of these alloys, particularly when these are subject to machining processes, causing tools to deteriorate quite rapidly, due to material adhesion to the tool’s surface, caused by the material’s ductile nature. An assessment of tool-wear after machining Cu-Be alloy AMPCOLOY 83 using coated and uncoated tools was performed, offering a comparison of the machining performance and wear behavior of solid-carbide uncoated and DLC/CrN multilayered coated end-mills with the same geometry. Multiple machining tests were conducted, varying the values for feed and cutting length. In the initial tests, cutting force values were registered. The material’s surface roughness was also evaluated and the cutting tools’ edges were subsequently analyzed, identifying the main wear mechanisms and how these developed during machining. The coated tools exhibited a better performance for shorter cutting lengths, producing a lower degree of roughness on the surface on the machined material. The wear registered for these tools was less intense than that of uncoated tools, which suffered more adhesive and abrasive damage. However, it was observed that, for greater cutting lengths, the uncoated tool performed better in terms of surface roughness and sustained wear.

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Section: Introductionmentioning

confidence: 97%

Wear Behavior of Uncoated and Coated Tools in Milling Operations of AMPCO (Cu-Be) Alloy

et al. 2021

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“…Cutting speed (V), which contributed 69.05 % to the total output responses, was the factor that had the biggest impact. It was followed by a feed rate of 10.42 % and a DoC of 11.36% [14]. The study revealed that when considering both surface roughness and vibration speed the is the most important factor [15].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Machining Variables of Inconel 800 Alloy in CNC Face Milling Using TiAlN and TiAlN-TiN Coated Inserts

Kumar¹,

Bala

2023

AMR

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This research work is based on the machinability of an Inconel 800 alloy using TiAlN-coating and TiAlN-TiN-coating tools. In the CNC VMC Face milling process feed, depth of cut (DoC), and cutting speed consider input variables and surface roughness, Tool wear is measured for all machining conditions. To enhance the machining conditions a Taguchi L9 Design of Experiment was created. ANOVA analysis was used to identify the important variables influencing Flank wear (tool wear) and surface roughness. The signal-to-noise ratio for the ideal cutting combination was identified by evaluating the optimum surface roughness and tool wear. for the effect of coating, a comparison was done between the findings obtained using both TiAlN-coated and TiAlN-TiN tungsten carbide-coated tools. The best optimum surface roughness and tool wear of the experiment conducted under machining with TiAlN-TiN coated carbide tool resulted in .3433 µm and 128 µm respectively.

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“…4 Cu-Be alloy, which has high strength and hardness, great thermal and electrical conductivity and excellent wear resistance, is commonly used in the fields of defence, nuclear, aerospace, automotive, electrochemistry, medicine and maritime. 5,6 However, while developing new materials provide many advantages in terms of mechanical and physical properties, they cause many uncertainties in machining processes. Determining the ideal machining conditions for each produced material contributes to the reduction of production costs and sustainability.…”

Section: Introductionmentioning

confidence: 99%

“…They reported that LIL application can be suitable for finishing operations and depth of cut is the primary parameter for cutting power. 5,[20][21][22][23][24][25][26][27][28][29][30][31] Saikiran et al conducted a research on the performance of vegetable oil (peanut and cottonseed oils) based fluids in highspeed steel (HSS) tool machining of copper alloys. They stated that peanut-based cutting fluid is the most ideal in terms of cutting force, material removal rate and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

“…According to grey relational analysis of variance analysis (ANOVA) results, cutting speed was the main parameter on machining indicators, followed by depth of cut and feed rate. 5 García-Martínez et al compared the cutting force changes with the results in dry and wet cutting environments when machining a copper-nickel alloy with LIL. They reported that LIL application can be suitable for finishing operations and depth of cut is the primary parameter for cutting power.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of surface roughness and energy consumption in turning of C17500 copper alloy under different machining environments and modellings with response surface method

Çakıroğlu

Günay

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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The difficulties in machinability due to the developments in the technical properties of engineering materials increase the importance of machinability indicators such as surface quality, power or energy consumption and tool life in terms of sustainable machining. In this context, the machinability of a copper-beryllium alloy (C17500), which is used in a wide range of industries and also characterized as a hybrid material, was investigated in vortex tube cooling and dry cutting environments. First, turning experiments were performed with a coated carbide tool and varying cutting speed, feed rate and depth of cut. In the experiments, the total energy consumed during turning and the roughness of the machined surfaces were measured, and analysed experimentally and statistically. In the second stage, mathematical models were developed for the total energy consumption and average surface roughness for both cutting environments with the response surface method. As a result, the chip formation process in the turning of the Cu alloy under vortex tube cooling negatively affected the cutting power and positively contributed to the surface quality. Due to the fact that vortex tube cooling creates a cooling effect rather than lubrication, built-up layer/built-up edge (BUL/BUE) formation on the tool cutting edges caused the change in the tool geometry and thus the chip removal process became more difficult and increased the energy consumption. On the other hand, in the vortex tube cooling application, the surface roughness decreased by an average of 31.4% compared to dry cutting. Furthermore, the predictive mathematical models developed for the total energy consumption and the mean surface roughness can be used with high reliability.

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Influence of CNC turning variables on high strength Beryllium-Copper (C17200) alloy using tungsten carbide insert

Cited by 6 publications

References 11 publications

Wear Behavior of Uncoated and Coated Tools in Milling Operations of AMPCO (Cu-Be) Alloy

Wear Behavior of Uncoated and Coated Tools in Milling Operations of AMPCO (Cu-Be) Alloy

Optimization of Machining Variables of Inconel 800 Alloy in CNC Face Milling Using TiAlN and TiAlN-TiN Coated Inserts

Analysis of surface roughness and energy consumption in turning of C17500 copper alloy under different machining environments and modellings with response surface method

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