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Keywords: electrical discharge machining
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Proceedings Papers
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A023, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63573
... Abstract White layer and residual stress are the main reasons for the decrease in fatigue life of electrical discharge machined samples. Therefore, it is important to research the evolution of the white layer and residual stress in electrical discharge machining and explain the influence...
Proceedings Papers
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T08A013, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8425
... Abstract Atomized dielectric-based electrical discharge machining (EDM) is a novel machining process in which a thin film of moving fluid resulting from a spray acts as the dielectric in the interelectrode gap. In addition to acting as the dielectric, the thin film also helps to flush...
Proceedings Papers
Proc. ASME. MSEC2019, Volume 2: Processes; Materials, V002T03A052, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-3025
... Abstract Atomized dielectric-based electrical discharge machining (EDM) is an emerging technology in which the dielectric between the electrodes is supplied in the form of a thin film using a spray atomizer. This novel machining process uses significantly less quantities of dielectric compared...
Proceedings Papers
Proc. ASME. MSEC2012, ASME 2012 International Manufacturing Science and Engineering Conference, 317-325, June 4–8, 2012
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2012-7273
... prediction in Electrical Discharge Machine (EDM) is being attempted with many methodologies, yet there is a need to develop robust, autonomous and accurate predictive system. This work proposes the application of hybrid intelligent technique, multiple regression and adaptive neuro-fuzzy inference system...