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Optimization of Process Parameters for Wire Electrical Discharge Machining of 9Cr18Mov Based on Grey Relational Analysis

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Veröffentlicht in:Processes vol. 13, no. 5 (2025), p. 1547
1. Verfasser: Mao Rongfu
Weitere Verfasser: Zhou, Sun, Gan Shixi, Lei Weining, Du Yuexiang, Kong Linglei
Veröffentlicht:
MDPI AG
Schlagworte:
Pulse duration
Wire
Stainless steel
Surface properties
Analytic hierarchy process
Electrodes
Optimization techniques
Content analysis
Oxidation
Electric discharge machining
Multiple objective analysis
Corrosion resistance
Stainless steels
Efficiency
Composite materials
Business metrics
Titanium alloys
Electric fields
Optimization
Design of experiments
Surface roughness
Corrosion tests
Variance analysis
Process parameters
Signal to noise ratio
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Abstract:9Cr18MoV stainless steel is widely employed in cutting-tool applications owing to its exceptional hardness and corrosion resistance. In this study, we systematically optimized the wire electrical discharge machining (WEDM) process parameters for 9Cr18MoV stainless steel through an L16 (44) orthogonal experimental design. The key parameters investigated include pulse width (Ton), pulse interval (Toff), peak current (IP), and wire feed speed (WS), with cutting efficiency (CE) and surface roughness (Ra) serving as the primary optimization objectives. A signal-to-noise ratio (SNR) analysis was applied to assess the effects of the individual parameters and derive single-objective optimal configurations. Subsequently, grey relational analysis (GRA) integrated with analytic hierarchy process (AHP)-based weighting was employed to establish a multi-objective optimal parameter set, which was experimentally validated. The results reveal that the optimal multi-objective performance was attained at Ton = 28 μs, Toff = 3 μs, IP = 9 A, and WS = level 3. SEM characterization confirmed that this parameter combination yields a more uniform surface morphology, with diminished oxidation and molten debris deposition, thereby significantly enhancing surface integrity. The adoption of this optimized parameter set not only ensures superior machining efficiency but also results in improved surface quality.
ISSN:2227-9717
DOI:10.3390/pr13051547
Quelle:Materials Science Database