Contact angle analysis of surface topographies created by electric discharge machining

Peta, Katarzyna; Bartkowiak, Tomasz; Galek, Przemysław; Mendak, Michał

doi:10.1016/j.triboint.2021.107139

Cited by 42 publications

(19 citation statements)

References 58 publications

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“…The discharge energy is calculated on the basis of the changed EDM parameters, which are multiplied: current, spark voltage, and electric discharge time [12]. It was the authors' intention not to focus on finding relations between all relevant machining parameters but concentrating on a single unifying factor-discharge energy [12,15,24,40,41]. As the commercial EDM machine tool is used, the figures are shown in Table 2 (voltage, current, single pulse time, and break between pulses) were automatically adjusted by the machine tool control system to achieve theoretical VDI class of surface texture for the given electrode and machined material.…”

Section: Sample Preparationmentioning

confidence: 99%

“…Curvature as a function of scale was evaluated using the method described in [12,15,24,28]. Statistical measures (average and standard deviation) of maximum (κ 1 ), minimum (κ 2 ), mean (H), and Gaussian (K) curvature were determined for the range of scales between 1 and 66 µm.…”

Section: Multiscale Curvature Analysismentioning

confidence: 99%

“…The energy of electric discharges, as the main factor influencing the surface topography, also indirectly determines the technological and functional properties of the surface, including microstructure and microhardness [21], corrosion behavior [22], wear resistance [23], and wettability [24]. Knowledge of the correlation between these parameters enables the design of the required surface properties by controlling the EDM parameters [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we apply the same material, manufacturing, and measurements techniques that were described in our previous study [24]. That work was focused on controlling the wetting performance by adjusting technological parameters in order to achieve a hydrophobic effect.…”

Section: Introductionmentioning

confidence: 99%

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Discharge Energy as a Key Contributing Factor Determining Microgeometry of Aluminum Samples Created by Electrical Discharge Machining

2021

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The aim of this study is first to determine the effect of the discharge energy on the surface microgeometry of aluminum samples created by electrical discharge machining (EDM). Secondly, an additional purpose is to demonstrate the differences between the geometric multiscale methods: length-, area-scale, and curvature. Eleven samples were manufactured using discharge energies ranging from 0.486 mJ to 1389.18 mJ and, subsequently, measured with focus variation microscopy. Standard ISO and multiscale parameters were calculated and used for surface discrimination and regression analysis. The results of linear, logarithmic, and exponential regression analyses revealed a strong correlation (R2 > 0.9) between the geometrical features of the surface topography and the discharge energy. The approach presented in this paper shows that it is possible to shape surface microgeometry by changing the energy of electrical discharges, and these dependencies are visible in various scales of observation. The similarities of the results produced by curvature and length-scale methods were observed, despite the significant differences in the essence of those methods.

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Section: Sample Preparationmentioning

confidence: 99%

Section: Multiscale Curvature Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Discharge Energy as a Key Contributing Factor Determining Microgeometry of Aluminum Samples Created by Electrical Discharge Machining

2021

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“…The best results on the relationship of surface topology with discharge energy were identified to have occurred in the values ranging from 36 µm to 41 µm. Peta et al [34] conducted investigative studies to identify the relationship between wettability and surface microgeometry of Al6060 alloy. The work was able to identify a strong correlation between parameters pertaining to surface texture and the wettability of the alloy.…”

Section: Introductionmentioning

confidence: 99%

Modelling Approach for the Prediction of Machinability in Al6061 Composites by Electrical Discharge Machining

et al. 2022

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This work aims to identify the pattern for the major output parameters, material removal rate (MRR) and surface roughness (Ra) of different combinations of Al6061-based composites. Based on the verification carried out on these patterns using analysis of variance (ANOVA) as the mathematical tool, the work predicts the mentioned output characteristics while machining Al6061 composites of different material compositions based on their hardness values. ANOVA was employed for the generation of equations of the particular composite. The equations were compared for the coefficients of each parameter employed in ANOVA. The work was carried out comparing the characteristic equation of different combinations of Al6061-based composite. The results indicate that the coefficients of the current show a drastic variation when compared to other coefficients for both the output parameters. It was observed that the current and its coefficients contribute to the output parameters based on the variation in hardness. For surface roughness, the constant of the characteristic equation was also found to influence the parameter for the change in hardness. The equation derived for both material removal rate (MRR) and surface roughness (Ra) were identified to be matching with the experimental result carried out for validation. The average variation observed was 9.3% for MRR and 7.2% for surface roughness.

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Parametric Evaluation Samples Made by SLM Technology Measured Using Micro-Computed Tomography

Jakubowicz,

Mietliński,

Królczyk

et al. 2024

Lecture Notes in Mechanical Engineering

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Contact angle analysis of surface topographies created by electric discharge machining

Cited by 42 publications

References 58 publications

Discharge Energy as a Key Contributing Factor Determining Microgeometry of Aluminum Samples Created by Electrical Discharge Machining

Discharge Energy as a Key Contributing Factor Determining Microgeometry of Aluminum Samples Created by Electrical Discharge Machining

Modelling Approach for the Prediction of Machinability in Al6061 Composites by Electrical Discharge Machining

Parametric Evaluation Samples Made by SLM Technology Measured Using Micro-Computed Tomography

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