Abstract
This study investigated the effects of machining parameters on the experimental and statistical results using the electric discharge method in the machining of AISI D2 cold work tool steel. The design of the experiment was established using the Taguchi L18 method. The effect of the experiment parameters on the performance characteristics was analyzed by analysis of variance (ANOVA). As a result of the study, it was determined that increasing amperage and pulse time affected the surface roughness and hole diameter on the surface of the material. The lowest values for surface roughness, machining time, hole diameter, and crater diameter were determined as 2.085 μm, 47 minutes, 12.010 mm, and 81.007 μm, respectively. The highest wear amount was obtained as 0.604 grams with the processed parameters in the ninth experiment. When the signal‐to‐noise ratios were examined, the optimum combinations of the control factors for surface roughness, hole diameter, crater diameter, wear amount, wear rate, and processing time were determined as A1B1C3, A1B1C3, A1B1C3, A1B3C1, A2B1C1, and A1B3C3, respectively. According to the ANOVA results, the most important parameters affecting the test results for surface roughness, hole diameter, crater diameter, wear amount, material wear loss, and processing time were determined as amperage (49.34%), time‐on (59.38%), amperage (55.65%), time‐on (56.92%), amperage (51.42%), and amperage (78.02%), respectively. When the gray relational degree was calculated for the maximum and minimum values, the ideal factors for all output results were found to be the parameters applied in the third experiment.
Highlights
Academic Editor: Abılio De Jesus is study investigated the effects of machining parameters on the experimental and statistical results using the electric discharge method in the machining of AISI D2 cold work tool steel. e design of the experiment was established using the Taguchi L18 method
As a result of the study, it was determined that increasing amperage and pulse time affected the surface roughness and hole diameter on the surface of the material. e lowest values for surface roughness, machining time, hole diameter, and crater diameter were determined as 2.085 μm, 47 minutes, 12.010 mm, and 81.007 μm, respectively. e highest wear amount was obtained as 0.604 grams with the processed parameters in the ninth experiment
When the signal-to-noise ratios were examined, the optimum combinations of the control factors for surface roughness, hole diameter, crater diameter, wear amount, wear rate, and processing time were determined as A1B1C3, A1B1C3, A1B1C3, A1B3C1, A2B1C1, and A1B3C3, respectively
Summary
Academic Editor: Abılio De Jesus is study investigated the effects of machining parameters on the experimental and statistical results using the electric discharge method in the machining of AISI D2 cold work tool steel. e design of the experiment was established using the Taguchi L18 method. According to the ANOVA results, the most important parameters affecting the test results for surface roughness, hole diameter, crater diameter, wear amount, material wear loss, and processing time were determined as amperage (49.34%), time-on (59.38%), amperage (55.65%), time-on (56.92%), amperage (51.42%), and amperage (78.02%), respectively. Rather than considering the plastic properties of the raw material to be used, such as hardness and corrosion resistance, in the selection of mold steels, resistance to chemical interaction, surface hardening, and machinability properties should be examined. Parameters such as the design dimensions of the mold, surface polishability, and weldability should be taken into account. EDM, known as electroerosion machining, utilizes electrical energy, the material removal process is in the category of thermal processing methods, since it is carried out with thermal energy. e machining performance in EDM has no effect on the stiffness, toughness, and strength of the material
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have