Prediction of machining characteristics in coolant-assisted dry EDM of Inconel 625 and Titanium Grade 2 using Machine Learning - research data
收藏DataCite Commons2025-06-23 更新2026-05-04 收录
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https://pk.rodbuk.pl/citation?persistentId=doi:10.58099/PK/RFV3GQ
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资源简介：
The data comprises a set of experimental data obtained as a result of conducting near dry EDM (electro-discharge machining), which were used to generate four Machine Learning (ML) approaches to describe the correlation of the dry EDM process inputs and outputs with distilled water as coolant for Inconel 625 and Titanium Grade 2. The research was funded in part by National Science Centre, Poland, under grant MINIATURA 2023/07/X/ST8/01186 (project title "Oddziaływanie wybranych płynów ustrojowych na właściwości technologicznej warstwy wierzchniej po obróbce elektroerozyjnej w gazie").
提供机构：
Cracow University of Technology
创建时间：
2025-06-04
