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Mathematical modeling for radial overcut on powder mixed micro-electrical discharge machining (μ-EDM) of TZM-molybdenum superalloy by response surface methodology
Micromachining in powder mixed micro-electric discharge machining (μ-EDM) requires a high material-removal rate with a low radial overcut, which affects work piece accuracy and precision. Power-mixed μ-EDM, a modernized manufacturing technique that introduces appropriate powder into dielectric oil, is one of the important developments for fulfilling such needs. EDM cutting produces cavities that are slightly larger than the tool size, resulting in radial overcut. The manufacturing of components for the nuclear and aircraft industries required high precision. Reducing the radial overcut during EDM is the primary objectives of this investigation. The current work uses response surface methodology to estimate radial overcut during the powder mixed μ-EDM process used to die sink TZM-molybdenum superalloy by mixing SiC powder in dielectric. For the purpose of planning the tests, the central composite design method was utilized total of 32 different experiments were carried out in order to assess the degree of correlation that exists between the quality of the inputs and the outputs of the system. According to the results of an analysis of variance and a response surface analysis, the powder concentration (CP) and pulse on time (TON) were the two most important processing factors. The results suggest that powder mixed μ-EDM is a promising approach for dimensionally accurate superalloy machining. The optimum set of input parameters which produces the lowest radial overcut on the machined surface has been identified by the experimental outcomes.
Mathematical modeling for radial overcut on powder mixed micro-electrical discharge machining (μ-EDM) of TZM-molybdenum superalloy by response surface methodology
Micromachining in powder mixed micro-electric discharge machining (μ-EDM) requires a high material-removal rate with a low radial overcut, which affects work piece accuracy and precision. Power-mixed μ-EDM, a modernized manufacturing technique that introduces appropriate powder into dielectric oil, is one of the important developments for fulfilling such needs. EDM cutting produces cavities that are slightly larger than the tool size, resulting in radial overcut. The manufacturing of components for the nuclear and aircraft industries required high precision. Reducing the radial overcut during EDM is the primary objectives of this investigation. The current work uses response surface methodology to estimate radial overcut during the powder mixed μ-EDM process used to die sink TZM-molybdenum superalloy by mixing SiC powder in dielectric. For the purpose of planning the tests, the central composite design method was utilized total of 32 different experiments were carried out in order to assess the degree of correlation that exists between the quality of the inputs and the outputs of the system. According to the results of an analysis of variance and a response surface analysis, the powder concentration (CP) and pulse on time (TON) were the two most important processing factors. The results suggest that powder mixed μ-EDM is a promising approach for dimensionally accurate superalloy machining. The optimum set of input parameters which produces the lowest radial overcut on the machined surface has been identified by the experimental outcomes.
Mathematical modeling for radial overcut on powder mixed micro-electrical discharge machining (μ-EDM) of TZM-molybdenum superalloy by response surface methodology
Int J Interact Des Manuf
Surani, Kapil (author) / Patel, Shailesh (author) / Panchal, Hitesh (author) / Gupta, Naveen (author) / Shinde, Tarang (author) / Sharma, Yogita (author)
2024-10-01
13 pages
Article (Journal)
Electronic Resource
English
Micromachining , Powder mixed micro-electrical discharge machining (μ-EDM) , Radial overcut (ROC) , Response surface methodology (RSM) , TZM-molybdenum superalloy , Central composite design (CCD) , Analysis of variance (ANOVA) , Powder concentration Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
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