Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods.

ABSTRACT: Precise machining of micro parts from difficult-to-cut materials requires using advanced technology such as wire electrical discharge machining (WEDM). In order to enhance the productivity of micro WEDM, the key role is understanding the influence of process parameters on the surface topography and the material's removal rate (MRR). Furthermore, effective models which allow us to predict the influence of the parameters of micro-WEDM on the qualitative effects of the process are required. This paper influences the discharge energy, time interval, and wire speed on the surface topography's properties, namely Sa, Sk, Spk, Svk, and MRR, after micro-WEDM of Inconel 718 were described. Developed RSM and ANN model of the micro-WEDM process, showing that the discharge energy had the main influence

SUBMITTER: Oniszczuk-Swiercz D 

PROVIDER: S-EPMC9737947 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature