Experimental investigation and multi-objective optimization of process parameters during machining of AISI 52100 using high performance coated tools

Bhandarkar, L. R.; Behera, M.; Mohanty, P. P.; Sarangi, Sunil

doi:10.1016/j.measurement.2020.108842

Cited by 18 publications

(5 citation statements)

References 33 publications

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“…Physical and mechanical properties were extracted from Davis et al [23], and chemical compositions of H13, 25CrMo4. 53 HRC, AISI3310, and AISI316 were obtained from [24][25][26][27][28][29], respectively. Material selection criteria for die components included Young's modulus, hardness of the workpiece material, and availability on the market.…”

Section: Materials Geometrical Dimensions and Process Parametersmentioning

confidence: 99%

Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications

2021

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This paper investigates the effect that the selection of the die material generates on the extrusion process of bimetallic cylindrical billets combining a magnesium alloy core (AZ31B) and a titanium alloy sleeve (Ti6Al4V) of interest in aeronautical applications. A robust finite element model is developed to analyze the variation in the extrusion force, damage distribution, and wear using different die materials. The results show that die material is a key factor to be taken into account in multi-material extrusion processes. The die material selection can cause variations in the extrusion force from 8% up to 15%, changing the effect of the extrusion parameters, for example, optimum die semi-angle. Damage distribution in the extrudate is also affected by die material, mainly in the core. Lastly, die wear is the most affected parameter due to the different hardness of the materials, as well as due to the variations in the normal pressure and sliding velocity, finding critical values in the friction coefficient for which the die cannot be used for more than one forming stage because of the heavy wear suffered. These results can potentially be used to improve the efficiency of this kind of extrusion process and the quality of the extruded part that, along with the use of lightweight materials, can contribute to sustainable production approaches.

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Section: Materials Geometrical Dimensions and Process Parametersmentioning

confidence: 99%

Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications

2021

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“…Surface roughness and flank wear were minimised. Machining forces, surface integrity, chip study, tool wear, and chip reduction coefficient were examined by Bhandarkar et al [27].…”

Section: Influence Of Optimization Techniques In Hard Machiningmentioning

confidence: 99%

A contemporary advancement of intelligent machining and sustainability aspects in hard machining area: A Critical Review

Khatai,

Sahoo,

Kumar

et al. 2023

E3S Web Conf.

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The intelligent manufacturing devotes considerable effort to towards machining process. This phenomenon is engendered by the growing demand for advanced machining process for manufacturing of precise parts by adopting optimization techniques. This article illustrates the most significant developments in the sustainability aspects as well as optimization and modelling techniques adopted to solve the problems and complexity in hard machining process. Machining realisation necessitates recent and future breakthroughs in technological innovations for Industry 4.0. A significant amount of focus is also paid to the different sustainability aspects, modelling strategies and performance analysis during hard machining process. Many avenues for future study on the needs of intelligent manufacturing are discussed in this article. The future directions for intelligent machine systems and sustainability factors are also discussed for the green, sustainable, and high dimensional accuracy manufacturing in hard machining area.

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“…The results showed that coated tools reduce surface roughness and inhibit the progression of tool wear. Bhandarkar et al [ 23 ] studied the performance of coated tools in machining bearing steel. Experiments were optimized via Taguchi–Grey relational analysis.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel

et al. 2023

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In this study, a comparison of measured cutting parameters is discussed while machining AISI 52100 low-alloy hardened steel under two different sustainable cutting environments, those in which a dry and minimum quantity lubrication (MQL) medium are used. A two-level full factorial design method has been utilized to specify the effect of different experimental inputs on the turning trials. Experiments were carried out to investigate the effects of three basic defining parameters of turning operation which are namely cutting speed, cutting depth, feed rate effects and also the effects of the cutting environment. The trials were repeated for the combination of different cutting input parameters. The scanning electron microscopy imaging method was used to characterize the tool wear phenomenon. The macro-morphology of chips was analyzed to define the influence of cutting conditions. The optimum cutting condition for high-strength AISI 52100 bearing steel was obtained using the MQL medium. The results were evaluated with graphical representations and they indicated the superiority of the pulverized oil particles on tribological performance of the cutting process with application of the MQL system.

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Experimental investigation and multi-objective optimization of process parameters during machining of AISI 52100 using high performance coated tools

Cited by 18 publications

References 33 publications

Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications

Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications

A contemporary advancement of intelligent machining and sustainability aspects in hard machining area: A Critical Review

Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel

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