Parametric Optimization and Modeling for Flank Wear of Tisin-Tialn Nanolaminate Cutting Insert

Kaladhar, M

doi:10.24191/jmeche.v17i3.15313

Cited by 3 publications

(1 citation statement)

References 32 publications

(35 reference statements)

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“…However, it seems that there are few studies that apply AE techniques to visualize cutting operations, that is, using an AE-based sensor system to fully grasp the state of the cutting tool with practical application in mind. The qualitative and quantitative evaluation of the wear state of the cutting tool can be very useful information when evaluating parameters by the machine learning method [17]- [19].…”

Section: Introductionmentioning

confidence: 99%

Development and Testing of a Turning Process Monitoring System using Acoustic Emission

Ninomiya¹,

Yoshida²,

Okita³

et al. 2021

JMechE

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Studies on in-process measurement have suggested techniques for sensing tool wear and machine status in a machining center and turning center, for example by measuring cutting resistance. However, there appear to be no reports of effective uses of machine sensing in practical machine tools, perhaps due to problems such as limitations on the number and density of sensors and the possibility that attaching sensors may affect machine rigidity and thus processing quality. The purpose of this research is to develop a system that can monitor the state of the cutting process and maintain it in a normal or optimal state at all times, based on the acoustic emission (AE) method. To realize the development of such a system, it is very important to qualitatively and quantitatively evaluate the tool wear. This report describes a tool wear experiment that collected AE signals, cutting force data, and high-speed camera images during metal turning. The collected basic data are comprehensively evaluated and examined to determine the effectiveness of in-process measurement by the AE method. The results suggest that evaluating various AE parameters obtained from the AE original waveform is an effective parameter for monitoring tool wear and cutting conditions that affect product quality. The findings from the basic data obtained in this study were found to be useful information for the practical application of in-process measurement by the AE method using machine learning methods.

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Section: Introductionmentioning

confidence: 99%

Development and Testing of a Turning Process Monitoring System using Acoustic Emission

Ninomiya¹,

Yoshida²,

Okita³

et al. 2021

JMechE

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Comparative performance evaluation between uncoated and TiAlN + AlCrN coated carbide tools in hard turning of AISI H11 steel

Das

Gautam

Panda³

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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Cutting tools, such as ceramic, cubic boron nitride, and polycrystalline diamond, are normally preferred to machine hardened hot work steel materials which are exclusively demanded in mould and die-making industries. However, such tool materials are very costly. If carbide tools with proper coatings will be used within a particular machining range, comparative tool life can be achieved with lesser cost in hard machining. The present experimental work is based on the comparative assessment among new generation TiAlN + AlCrN coated and traditional uncoated carbide tools concerning tool life, tool flank wear, cutting temperature, cutting force, and surface integrity in dry hard turning of AISI H11 steel. The experiments with 16 trials are performed according to the L16 orthogonal array by considering various machining parameters that include cutting speed, depth of cut, and feed. At last, with the measured tool life and as per Gilbert's economic approach, distinctive cost analysis has been implemented to demonstrate the cost-effectiveness of coated carbide tools in hard turning. From the experimental results, a promising machining performance is noticed for TiAlN + AlCrN coated carbide inserts in terms of all machining attributes compared to uncoated carbide inserts due to superior wear resistance, and surface hardness as well as strength of coating material. In summary, the multilayer TiAlN + AlCrN coated carbide tool offers significant cost savings (Rs. 12.82 in Indian currency), with a 9% reduction in production costs in comparison with hard turning via. uncoated insert (Rs. 14).

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Hard Turning Performance Investigation of AISI D2 Steel under a Dual Nozzle MQL Environment

et al. 2023

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In recent years, hard turning has emerged as a burgeoning cutting technology for producing high-quality finishing of cylindrical-shaped hardened steel for a variety of industrial applications. Hard turning under dry cutting was not accepted because of the generation of higher cutting temperatures which accelerated tool wear and produced an inferior surface finish. Nowadays, minimum quantity lubrication (MQL) is widely accepted in hard turning to reduce the problems encountered in dry cutting. This research aimed to augment the MQL performance in the hard turning process of AISI D2 steel by applying a novel concept, namely, a dual jet nozzle MQL system that supplies the cutting fluid into the cutting zone from two different directions. The performances of hard turning are discussed using machinability indicator parameters, such as surface roughness, tool wear, cutting temperature, power consumption, noise emission, and chip morphology. The dual nozzle MQL greatly reduced the friction between contact surfaces in the cutting zone and provided improved surface quality (Ra = 0.448 to 1.265 µm). Furthermore, tool flank wear was found to be lower, in the range of 0.041 to 0.112 mm, with abrasion and adhesion being observed to be the main mode of wear mechanisms. The power consumption was greatly influenced by the depth of cut (46.69%), followed by cutting speed (40.76%) and feed (9.70%). The chip shapes were found to be helical, ribbon, and spiral c type, while the colors were a metallic, light blue, deep blue, and light golden.

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Parametric Optimization and Modeling for Flank Wear of Tisin-Tialn Nanolaminate Cutting Insert

Cited by 3 publications

References 32 publications

Development and Testing of a Turning Process Monitoring System using Acoustic Emission

Development and Testing of a Turning Process Monitoring System using Acoustic Emission

Comparative performance evaluation between uncoated and TiAlN + AlCrN coated carbide tools in hard turning of AISI H11 steel

Hard Turning Performance Investigation of AISI D2 Steel under a Dual Nozzle MQL Environment

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