In this study, the efficiency of integration between Taguchi and TOPSIS in multi-response optimization of powder mixed electrical discharge machining (PMEDM) process was evaluated. | Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS International Journal of Data and Network Science 2 2018 109 119 Contents lists available at GrowingScience International Journal of Data and Network Science homepage ijds Multi-response optimization of process parameters for powder mixed electro-discharge machin- ing according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS Phan H. Nguyena Long T. Banhb Viet. D. Buic and Dung T. Hoanga a Hanoi University of Industry No. 298 Cau Dien Street Bac Tu Liem District Hanoi Vietnam b School of Mechanical Engineering Hanoi University of Science and Technology Vietnam c Technische Universität Chemnitz Professorship Micromanufacturing Technology Reichenhainer Strasse 70 09126 Chemnitz Germany CHRONICLE ABSTRACT Article history In this study the efficiency of integration between Taguchi and TOPSIS in multi-response opti- Received June 1 2018 mization of powder mixed electrical discharge machining PMEDM process was evaluated. The Received in revised format June input parameters such as workpiece and tool electrode material polarity pulse on time ton 18 2018 pulse off time toff Current I and powder concentration have been selected to optimize two Accepted September 14 2018 Available online responses namely surface roughness Ra and surface hardness HV . The results show that tita- September 14 2018 nium powder mixed dielectric fluid improves multi-response optimization efficiency in PMEDM. Keywords In addition machining conditions such as tool electrode material powder concentration pulse Taguchi on time polarity current density A G and B G interactions play a very important role on S N TOPSIS ratio of C whereby powder concentration has the strongest influence. TOPSIS -Taguchi is a po- EDM tential method for multi-response optimization in PMEDM. However .
