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Chandra Shekar, K.
- Experimental Investigation of Eco-Friendly Vegetable Oil as Dielectric Fluid in Electrical Discharge Machining
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Authors
Affiliations
1 Department of Mechanical Engineering, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, IN
1 Department of Mechanical Engineering, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, IN
Source
Manufacturing Technology Today, Vol 19, No 1-2 (2020), Pagination: 45-52Abstract
Electric Discharge Machining (EDM) is used to machine complex geometries on hard to difficult material. In this investigation, vegetable oil based dielectric fluids are used and their performance is compared with conventional dielectric fluid during the machining of Inconel 800. Two different categories of dielectrics such as vegetable oil (sunflower, canola and jatropha) and hydrocarbon oil (kerosene) are used. Three set of energy settings are used during the process to analyze the Material Removal Rate (MRR) and Tool Wear Rate (TWR). The result showed that vegetable oil based dielectric fluid showed higher MRR than conventional dielectric fluid. Also, the result of TWR is observed as higher than conventional dielectric fluid. Further studies are required to understand high TWR using vegetable oil as dielectric. This work concludes vegetable oils that are similar in dielectric properties could be used as dielectric fluid.Keywords
EDM, Dielectric fluid, Vegetable Oil, Inconel 800, Performance.
References
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- Optimization Study of Process Parameters using Genetic Algorithm in EDM
Abstract Views :244 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, IN
1 Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 19, No 5-6 (2020), Pagination: 3-11Abstract
Productivity and quality in production/manufacturing have great concerns in competitive global market; manufacturing units mainly focuses on these in relation to the process and product developed subsequently. Electrical Discharge Machining process, even now it is an experience process, wherein still the selected parameters are often far from the maximum, and at the same time selecting optimization parameters is costly and time-consuming affair. Material Removal Rate during the process has been considered in this work as a productivity estimate with the objective to maximize it, also have better surface roughness, taken as important output parameter, in the process. These two opposite objectives have been simultaneously satisfied by selecting an optimal process environment, optimal parameter setting. In this work, objective function is obtained using Regression Analysis and tested for optimization using Genetic Algorithm technique. The model is shown to be effective; MRR and Surface Roughness shown improved when used optimized machining parameters.Keywords
EDM, Optimization, Process Parameters, Genetic Algorithm.References
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