Content area
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.
Details
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
; Zhou, Sun 2 ; Gan Shixi 1 ; Lei Weining 3 ; Du Yuexiang 1
; Kong Linglei 3 1 School of Mechanical and Electrical Engineering, Quanzhou University of Information Engineering, Quanzhou 362000, China; [email protected] (R.M.); [email protected] (S.G.)
2 School of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China; [email protected] (Z.S.); [email protected] (W.L.)
3 School of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China; [email protected] (Z.S.); [email protected] (W.L.), Key Laboratory of Advanced Material Structural Component Design and Composite Manufacturing in Jiangsu Province, Changzhou 213000, China