Surface Roughness and Tool Wear on Cryogenic Treated CBN Insert on Titanium and Inconel 718 Alloy Steel

Thamizhmanii, S.; Rasool, Mohideen; Zaidi, Ahmad Mujahid Ahmad; Hasan, Sulaiman

doi:10.1088/1757-899x/100/1/012058

Cited by 9 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It depicts high surface roughness for conventionally treated specimens (HT), as compared to 16 h cryogenically treated specimens (HTC16). In the case of the conventionally treated specimen (HT), the higher value of surface roughness indicates a much rough surface which resembles the notch-like pattern and it will act as a potential site for the nucleation of cracks [12]. This leads to increment in the wear rate (Figure 11) as compared to HTC16 specimen.…”

Section: Resultsmentioning

confidence: 99%

Influence of carbide density on surface roughness and quasi-stable wear behaviour of H13 die steel

Shinde¹,

Dhokey²

2017

Surface Engineering

View full text Add to dashboard Cite

Influence of cryogenic treatment on AISI H13 hot work die steels has been studied to correlate carbide density with surface roughness and dry sliding wear. This work includes hardening of AISI H13 specimens at 1020°C, oil quenching followed by double tempering at 500°C and then cryogenic treatment at −185°C for different cryosoaking periods from 8 to 32 h, followed by soft tempering at 100°C. The dry sliding wear behaviour on pin-on-disc has been studied for a load of 40 N at a speed of 3 m s −1 for the sliding distance of 6000 m. A model has been proposed to elaborate upon the effect of tertiary carbide precipitation on the improvement of surface roughness, followed by establishing quasi-stable wear mechanism and the interpretation obtained from the Avrami equation of kinetics. A logical correlation has been established between carbide density and surface roughness.

show abstract

Section: Resultsmentioning

confidence: 99%

Influence of carbide density on surface roughness and quasi-stable wear behaviour of H13 die steel

Shinde¹,

Dhokey²

2017

Surface Engineering

View full text Add to dashboard Cite

show abstract

“…Due to brittleness, the tool may get micro-cracks at higher cutting speeds and flank wear during machining (Khan & Ahmed, 2008). Recently, cryogenic treatment on cutting tools has resulted in successful application to reduce cutting forces, power consumption and tool wear for machining different materials in CNC turning process (Aggarwal, Singh, Kumar, & Singh, 2008;Ghosh & Rao, 2017;Özbek, Çiçek, Gülesin, & Özbek, 2015;Sreerama Reddy, Sorna Kumar, Venkatarama Reddy, & Venkatram, 2009a;Sreerama Reddy, Sorna Kumar, Venkatarama Reddy, Venkatram, & Senthil Kumar, 2009b;Thamizhmanii, Mohideen, Zaidi, & Hasan, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of cryogenic treatment of tungsten carbide tools on cutting force and power consumption in CNC milling process

Mukkoti

Sankaraiah

Yohan

2018

Production & Manufacturing Research

View full text Add to dashboard Cite

In this paper, the effect of Deep Cryogenic Treatment (DCT) soaking duration on tungsten carbide end mill cutters on cutting forces and power consumption during machining P20 mold steel in CNC milling machine is investigated and optimized the process parameters. The data collected for the study are based on Box-Behnken design of response surface methodology. Cutting forces and power consumption are considered as important performance measures which are functions of decision variables viz. cutting speed, feed, depth of cut, and end milling cutting tools subjected to different soaking duration. The percentage contribution is calculated based on ANOVA to identify most influencing parameter on cutting forces and power consumption. The study revealed that cryogenic soaking duration exhibits most significant effect on cutting forces and power consumption followed by cutting speed, feed, and depth of cut. Regression analysis is carried out to relate the process variables and performance measures. Finally, a non-dominated sorting Algorithm (NSGA-II) is proposed to optimize the process variable to obtain the desired optimal solutions. The results indicate DCT tool soaked for longer duration is minimizing the cutting forces and power consumption when compared to untreated tool.

show abstract

“…Shokrani A et al [5] investigated the effect of liquid nitrogen cryogenic cooling on the surface integrity of end milling of Ti-6Al-4V titanium alloy. Thamizhmanii S et al [6] used machining materials with superhard tools such as cubic boron nitride (CBN) and poly cubic boron nitride (PCBN) to reduce tool wear while achieving dimensional accuracy, smooth surfaces, and more parts per cutting edge. Kaynak Y et al [7] investigated the machining performance of a new generation of near-beta alloy Ti-5553 for high-speed cutting and dry machining under low-temperature cooling conditions, which resulted in shorter chips compared to dry machining.…”

Section: Introductionmentioning

confidence: 99%

Aero-Engine Blade Cryogenic Cooling Milling Deformation Simulation and Process Parameter Optimization

Chen,

Xu,

Huang

et al. 2023

Materials

View full text Add to dashboard Cite

For the machining of aero-engine blades, factors such as machining residual stress, milling force, and heat deformation can result in poor blade profile accuracy. To address this issue, simulations of blade milling were completed using DEFORM11.0 and ABAQUS2020 software to analyze blade deformation under heat-force fields. Process parameters such as spindle speed, feed per tooth, depth of cut, and jet temperature are used to design both a single-factor control and BBD test scheme to study the influence of jet temperature and multiple changes in process parameters on blade deformation. The multiple quadratic regression method was applied to establish a mathematical model correlating blade deformation with process parameters, and a preferred set of process parameters was obtained through the particle swarm algorithm. Results from the single-factor test indicated that blade deformation rates were reduced by more than 31.36% in low-temperature milling (−190 °C to −10 °C) compared with dry milling (10 °C to 20 °C). However, the margin of the blade profile exceeded the permissible range (±50 µm); therefore, the particle swarm optimization algorithm was used to optimize machining process parameters, resulting in a maximum deformation of 0.0396 mm when the blade temperature was −160 °C~−180 °C, meeting the allowable blade profile deformation error.

show abstract

Surface Roughness and Tool Wear on Cryogenic Treated CBN Insert on Titanium and Inconel 718 Alloy Steel

Cited by 9 publications

References 12 publications

Influence of carbide density on surface roughness and quasi-stable wear behaviour of H13 die steel

Influence of carbide density on surface roughness and quasi-stable wear behaviour of H13 die steel

Effect of cryogenic treatment of tungsten carbide tools on cutting force and power consumption in CNC milling process

Aero-Engine Blade Cryogenic Cooling Milling Deformation Simulation and Process Parameter Optimization

Contact Info

Product

Resources

About