Multi-response optimization of process parameters based on response surface methodology for pure titanium using WEDM process
By Anish Kumar, Vinod Kumar, Jatinder Kumar. The International Journal of Advanced Manufacturing Technology, 2013
205 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/824e1d4aca9d54d117c0643eb4ed05d0cc218163
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Citations in the corpus
- Investigation of surface integrity, material removal rate and wire wear ratio for WEDM of Nimonic 80A alloy using GRA and Taguchi method (2014, background): “11 [9] Pure titanium (grade-2) Box-Behnken design, RSM, desirability function Pulse-on time, pulse-off time, peak current, wire tension, wire feed, spark gap voltage Machining rate, dimensional deviation, surface roughness, wire wear ratio Pulse-on time, pulse-off time and peak current are the major”
- Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory (2015, background): “Many researchers (Kumar et al. 2013; Sharma et al. 2014) considered these parameters for optimization in spark erosion non-traditional machining methods along with other parameters.”
- Mathematical modeling and analysis of WEDM machining parameters of nickel-based super alloy using response surface methodology (2017, methodology): “Kumar et al [10] developed quadratic models for four response variables, machining rate, surface roughness, dimensional deviation, and wire wear ratio, to correlate the dominant parameters, Ton, Toff, peak current (Ip), SV, wire feed, and wire tension in the WEDM process of pure titanium (Tigrade 2)”