Modelling of micro-electrodischarge machining during machining of titanium alloy Ti—6Al—4V using response surface methodology and artificial neural network algorithm - Pradhan, B B; Bhattacharyya, B (Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2009)
Keywords: Algorithms; Applied sciences; Artificial neural networks; Automobile industry; Automotive electronics; Automotive engineering; Avionics; Back propagation; Back propagation networks; Biocompatibility; Conductivity; Corrosion resistance; Cutting; Data analysis; Dielectrics; Exact sciences and technology; Machining. Machinability; Mathematical models; Matrices (mathematics); Mechanical engineering; Mechanical engineering. Machine design; Metals. Metallurgy; Methodology; Neural networks; Nickel base alloys; Optimization; Parameter optimization; Precision engineering, watch making; Production techniques; Response surface methodology; Surgical implants; Titanium alloys; Titanium base alloys; Wear; ANN; microhole; micro-EDM; Ti-6Al-4V; RSM; Precision engineering; Inconel; Cutting speed; Alloy-Ti90Al6V4; Modeling; Titanium base alloys; Optimization; Corrosion resistant alloy; Backpropagation algorithm; Wear rate; Aerospace; Tool wear; Response surface; Feedforward; Biomedical engineering; Drilling; Titanium alloy; Nickel base alloys; Micromachining; Automotive electronics; Neural network; Experimental study; Weight; Electrical discharge machining; Operating conditions; Electronics industry; Experimental design; Material engineering; Automobile industry; Factorial design; Multilayer network