Multi-response optimization of electrical discharge machining using the desirability function

Rafał Świercz , Dorota Oniszczuk-Świercz , Tomasz Chmielewski

Abstract

Electrical discharge machining (EDM) is a modern technology that is widely used in the production of difficult to cut conductive materials. The basic problem of EDM is the stochastic nature of electrical discharges. The optimal selection of machining parameters to achieve micron surface roughness and the recast layer with the maximal possible value of the material removal rate (MRR) is quite challenging. In this paper, we performed an analytical and experimental investigation of the influence of the EDM parameters: Surface integrity and MRR. Response surface methodology (RSM) was used to build empirical models on the influence of the discharge current I, pulse time t on , and the time interval t off , on the surface roughness (Sa), the thickness of the white layer (WL), and the MRR, during the machining of tool steel 55NiCrMoV7. The surface and subsurface integrity were evaluated using an optical microscope and a scanning profilometer. Analysis of variance (ANOVA) was used to establish the statistical significance parameters. The calculated contribution indicated that the discharge current had the most influence (over the 50%) on the Sa, WL, and MRR, followed by the discharge time. The multi-response optimization was carried out using the desirability function for the three cases of EDM: Finishing, semi-finishing, and roughing. The confirmation test showed that maximal errors between the predicted and the obtained values did not exceed 6%.

Author Rafał Świercz (FPE / IoMP)
Rafał Świercz,,
- The Institute of Manufacturing Processes
, Dorota Oniszczuk-Świercz (FPE / IoMP)
Dorota Oniszczuk-Świercz,,
- The Institute of Manufacturing Processes
, Tomasz Chmielewski (FPE / IoMP)
Tomasz Chmielewski,,
- The Institute of Manufacturing Processes
Journal seriesMicromachines, ISSN 2072-666X, (N/A 70 pkt)
Issue year2019
Vol10
ASJC Classification2208 Electrical and Electronic Engineering; 2210 Mechanical Engineering; 2207 Control and Systems Engineering
DOIDOI:10.3390/mi10010072
Languageen angielski
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 19-11-2019, ArticleFromJournal
Publication indicators Scopus Citations = 5; WoS Citations = 5; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.766; WoS Impact Factor: 2018 = 2.426 (2) - 2018=2.48 (5)
Citation count*8 (2019-12-02)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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