Machining of 7Cr13Mo steel by US-PMEDM process

Zhang, W.; Li, L.; Wang, N.; Teng, Yue

doi:10.1080/10426914.2021.1885704

Cited by 13 publications

(6 citation statements)

References 28 publications

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“…For 20 A current while machining the composites TWR was drastically increases to 33.79 mg min −1 and 32.54 mg min −1 for the 2 wt% and 8 wt% composites owing to increase in discharge intensity. 28 When the electric process parameters current and Ton was tuned at 5 A and 10 μs a least TWR of 14.39 mg min −1 was achieved as shown in. By holding the current at fixed value and increasing the Ton has least impact on TWR.…”

Section: Resultsmentioning

confidence: 93%

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Y²,

Nashreen.

2022

ECS J. Solid State Sci. Technol.

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The component produced with best surface quality increases the life time of the product and with the objective of attaining it. AA7050 hybrid composites was processed using the electric discharge machining (EDM) technique. Composites with varying weight percentage of reinforced particles were manufactured using the stir casting technique. SiC and Al2O3 with an average particles size of 5 μm was used as reinforcement. EDM experimentation was conducted on the composites by varying pulse on time (Ton), current (A), powder concentration, and reinforcement weight percentage and the experimental runs were designed using Taguchi mixed orthogonal array, Material removal rate (MRR), tool wear rate (TWR), surface roughness (Ra), and machined surface hardness were recorded as response. When SiC particles were added into the dielectric fluid, MRR increased. The generated heat was uniformly spread throughout the machined surface due to the low thermal conductivity of SiC particles. TWR for composites machined with 2 wt% reinforcing materials increased significantly when powder particles were introduced, reaching 32.61 mg/min. The dispersed particles settled across the machined surface due to high density of SiC particles (4.36 g/cm3), lowering the surface quality. Black spots, remelted particles, globules, and micro pits are some of textures observed on machined surface morphology.

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Section: Resultsmentioning

confidence: 93%

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Y²,

Nashreen.

2022

ECS J. Solid State Sci. Technol.

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“…The Taguchi L25 orthogonal array is used to assess output characteristics such as Surface Roughness (Ra), Material Removal Rate (MRR), and Kerf Width (k), and machining reaction variables are optimised using the T-GRA technique. Zhang et al [9] performed the ultra-sonic assisted and powdered mixed EDM experiment on the 7Cr13Mo steel. The results show that 78% of microhardness was increased, and 57% of MRR was enhanced.…”

Section: Introductionmentioning

confidence: 99%

Machinability analysis and optimisation of EDM in AA6082/3 wt% BN/1 wt% MoS2 hybrid composites using entropy method weights integrated with complex proportional assessment (COPRAS) method

Ganesan¹,

Dhilip²,

Sivalingam

et al. 2022

Int J Adv Manuf Technol

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An investigation was made on composites containing AA6082 as matrix and boron nitride/molybdenum disulphide (BN/MoS 2 ) used as reinforcement, which was 3 wt. % of BN and 1% MoS 2 hybrid composite materials were fabricated by stir casting methodology. Using electrical discharge machining (EDM) equipment, machinability studies were examined to achieve an optimal condition of process parameters. Taguchi (L27 orthogonal array) based design of experiments was employed for experiments to examine the in uence of process parameters like pulse on time (Ton), peak current (IP) and gap voltage (V) on material removal rate (MRR), circularity (CIRC), electrode wear rate (EWR), and cylindricity (CYLD) were investigated. Multi Criteria Decision Making (MCDM) methodology was employed for the process parameters while machining AA6082/ 3 wt. % BN/1% MoS 2 hybrid composites. An entropy-based objective weights method was integrated with the complex proportional assessment (COPRAS) approach to assess the most excellent optimal level of process parameters. The entropy (W j ) weights were 0.1285, 0.1002, 0.5707 and 0.2005 for MRR, EWR, CIRC, and CYLD. The optimal conditions are obtained from the COPRAS method of relative signi cance score, and quantitative utility assessment score in the nineteenth experiment having the 15 A, 50 µs and 30 V with the relative signi cance score of 0.0735 with a higher quantitative utility score of 100% is achieved. Using an SEM, the machined surface is analysed for the micro-structural examination. At higher peak current (IP), micro-voids and craters with poor surface nish were achieved.

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“…The absence of mechanical nature is proved by observation of the even formed surfaces [1][2][3][4]18,21,22] and various works devoted to the research of acoustic oscillations in the full range of spectra [1,29]. Results of research considering erosion products have shown the absence of mechanical contact between electrodes [30,31] and wire oscillations with an amplitude of about ±|9 + i| nm (complex number) for steel workpieces and brass wire in water medium excited by working and idle pulses.…”

mentioning

confidence: 99%

“…Conductive nanoparticles introduced into nonconductive matrix [14,15], which have been known since the beginning of the 1980s; • Conductive nano-and microparticles introduced into the discharge gap [11,12,[16][17][18][19], which were first proposed at the beginning of the 1980s (some of the authors even proposed modifying the interelectrode gap conditions by the introduction of nonconductive particles during machining of conductive materials [20]);…”

mentioning

confidence: 99%

Elemental and Thermochemical Analyses of Materials after Electrical Discharge Machining in Water: Focus on Ni and Zn

et al. 2021

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The mechanism of the material destruction under discharge pulses and material removal mechanism based on the thermochemical nature of the electrical erosion during electrical discharge machining of conductive materials were researched. The experiments were conducted for two structural materials used in the aerospace industry, namely austenite anticorrosion X10CrNiTi18-10 (12kH18N10T) steel and 2024 (D16) duralumin, machined by a brass tool of 0.25 mm in diameter in a deionized water medium. The optimized wire electrical discharge machining factors, measured discharge gaps (recommended offset is 170–175 µm and 195–199 µm, respectively), X-ray photoelectron spectroscopy for both types of materials are reported. Elemental analysis showed the presence of metallic Zn, CuO, iron oxides, chromium oxides, and 58.07% carbides (precipitation and normal atmospheric contamination) for steel and the presence of metallic Zn, CuO, ZnO, aluminum oxide, and 40.37% carbides (contamination) for duralumin. For the first time, calculating the thermochemistry parameters for reactions of Zn(OH)2, ZnO, and NiO formation was produced. The ability of Ni of chrome–nickel steel to interact with Zn of brass electrode was thermochemically proved. The standard enthalpy of the Ni5Zn21 intermetallic compound formation (erosion dust) ΔH0298 is −225.96 kJ/mol; the entropy of the crystalline phase Scint is 424.64 J/(mol·K).

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Machining of 7Cr13Mo steel by US-PMEDM process

Cited by 13 publications

References 28 publications

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Machinability analysis and optimisation of EDM in AA6082/3 wt% BN/1 wt% MoS2 hybrid composites using entropy method weights integrated with complex proportional assessment (COPRAS) method

Elemental and Thermochemical Analyses of Materials after Electrical Discharge Machining in Water: Focus on Ni and Zn

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Machining of 7Cr13Mo steel by US-PMEDM process

Cited by 13 publications

References 28 publications

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al2O3 Hybrid Composites

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al2O3 Hybrid Composites

Machinability analysis and optimisation of EDM in AA6082/3 wt% BN/1 wt% MoS2 hybrid composites using entropy method weights integrated with complex proportional assessment (COPRAS) method

Elemental and Thermochemical Analyses of Materials after Electrical Discharge Machining in Water: Focus on Ni and Zn

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Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites

Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al₂O₃ Hybrid Composites