Numerical investigations of cutting temperature and cutting forces in cryogenic assisted turning of magnesium alloy

Ijaz, Hassan; Asad, Muhammad; Danish, Mohd; Gupta, Munish Kumar; Siddiqui, Muhammad Ehtisham; Al‐Zahrani, Ahmed

doi:10.1007/s00170-021-06989-5

Cited by 11 publications

(6 citation statements)

References 38 publications

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“…The full width at half maximum (FWHM) of each peak was calculated with the help of "Xpert Highscore Plus" software. Thereafter, crystallite size and lattice strain were measured by using Equations ( 15) and (16), respectively [51].…”

Section: Influence Of Process Parametersmentioning

confidence: 99%

“…As each peak gives their respective crystallite size and lattice strain, an average was also measured to achieve a better understanding. Thereafter, crystallite size and lattice strain were measured by using Equations ( 15) and (16), respectively [51].…”

Section: Influence Of Process Parametersmentioning

confidence: 99%

“…Using liquefied gases as a coolant, cryogenic machining diminishes the undesirable rise in temperature during machining, as well as eliminating the perilous gases which are associated with other coolants and lubricants [14,15]. The liquefied gas, normally liquid nitrogen (LN2), directly evaporates into the atmosphere immediately after the process, leaving no residue behind and making the process clean and economical [16][17][18]. In addition, the beneficial attribute of lowering the cutting temperature can significantly decrease the ignition risk associated with magnesium alloy [19].…”

Section: Introductionmentioning

confidence: 99%

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Predictive Modelling and Multi-Objective Optimization of Surface Integrity Parameters in Sustainable Machining Processes of Magnesium Alloy

2021

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Magnesium alloys are widely used in numerous engineering applications owing to their superior structural characteristics. However, the machining of magnesium alloy is challenging because of its poor machinability characteristics. Therefore, this paper investigates the machining of magnesium alloys under different sustainable cooling conditions. The machining was performed by varying cutting velocity, feed rate, and depth of cut under dry and cryogenic cooling conditions. The primary focus of the paper is to develop a predictive model for surface roughness under different machining environments. The models developed were found to be in excellent agreement with experimental results, with only 0.3 to 1.6% error. Multi-objective optimization were also performed so that the best surface finish together with high material removal rate could be achieved. Furthermore, the various parameters of surface integrity (i.e., surface roughness, micro-hardness, micro-structures, crystallite size, and lattice strain) were also investigated.

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Section: Influence Of Process Parametersmentioning

confidence: 99%

Section: Influence Of Process Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictive Modelling and Multi-Objective Optimization of Surface Integrity Parameters in Sustainable Machining Processes of Magnesium Alloy

2021

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“…They also found a reduction in built-up edge (BUE) and built-up layer (BUL) formation during turning. Ijaz et al [20] performed a two-dimensional finite-element-based analysis (FEA) of the orthogonal cutting process of AZ31B magnesium alloy in cryogenic and dry machining environments by varying the cutting speed and uncut chip thickness. Cutting forces and temperatures were considered output parameters.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Tool Wear and Chip Morphology during Turning of AZ31B Magnesium Alloy under Dry Environment

Thobane,

Chaubey,

Gupta

2023

JMMP

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The present research investigated the turning of AZ31B magnesium alloy in a dry environment using carbide tool inserts coated with tungsten carbonitride (TiCn) and thin alumina (Al2O3). A Box–Behnken design based on fifteen experiments showed a proportional increasing trend of flank wear with all three machining parameters, i.e., cutting speed, feed rate, and depth of cut. The most influential parameter is the cutting speed. A maximum flank wear of 299.34 µm due to excessive adhesion of work material on the tool face was observed at a high cutting speed. Machining at low speed resulted in a significant reduction in tool wear due to less chipping. The tool wear and chip morphology study confirmed the results.

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“…Recently, the application of finite element tensile and compression test simulation tools have been increased because experimental investigations take a long time and have a significant cost of implementation [8,9]. For this reason, modeling of plastic deformation processes with the finite element (FE) method offers an alternative method [10][11][12][13][14]. However, to prove that the material is appropriate and applicable, the constitutive equation parameters of the material must be determined exactly and the material model must be selected correctly [15][16][17].…”

mentioning

confidence: 99%

Hot Deformation Behavior and Strain Rate Sensitivity of 33MnCrB5 Boron Steel Using Material Constitutive Equations

Teker

Danish

Gupta

et al. 2021

Trans Indian Inst Met

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In this paper, the constitutive equation parameters (Johnson–Cook parameters) of the 33MnCrB5 material were determined with the help of tensile tests. Initially, Johnson–Cook (JC) model was used for performing the simulations of the sample with finite element analysis with the help of ANSYS software. For these operations, the sample was first used at a certain temperature (24 °C) and low strain rates (10−1, 10−2, 10−3 s−1) and quasi-static tensile tests were performed. Then, high temperature tensile tests were performed with strain rate values of 10−3 s−1 at temperatures of 300 °C, 600 °C, and 900 °C, respectively. Finally, JC parameters belonging to test materials were found in accordance with the results obtained from the high temperature tensile and quasi-static tests. In the last stage, the results obtained from the simulation software for the yield stress, maximum stress, and elongation values were compared with the experimental results. As a result, deviation values for quasi-static tests are calculated as 5.04% at yield stress, 5.57% at maximum stress, and 5.68% at elongation, while for high temperature, yield stress is 9.42%, maximum stress is 11.49% and the elongation value is 7.63%. The accuracy of JC parameters was verified with the comparison made with the obtained data.

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Numerical investigations of cutting temperature and cutting forces in cryogenic assisted turning of magnesium alloy

Cited by 11 publications

References 38 publications

Predictive Modelling and Multi-Objective Optimization of Surface Integrity Parameters in Sustainable Machining Processes of Magnesium Alloy

Predictive Modelling and Multi-Objective Optimization of Surface Integrity Parameters in Sustainable Machining Processes of Magnesium Alloy

Analysis of Tool Wear and Chip Morphology during Turning of AZ31B Magnesium Alloy under Dry Environment

Hot Deformation Behavior and Strain Rate Sensitivity of 33MnCrB5 Boron Steel Using Material Constitutive Equations

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