Experimental Investigation of White Layer Thickness on EDM Processed Silicon Steel Using ANFIS Approach-Reference-Cited by-同舟云学术

Experimental Investigation of White Layer Thickness on EDM Processed Silicon Steel Using ANFIS Approach

Published:2019-11-21 Issue:8 Volume:12 Page:1905-1911
ISSN:1876-990X
Container-title:Silicon
language:en
Short-container-title:Silicon

Author:

Muthuramalingam T.^ORCID,Saravanakumar D.,Babu L. Ganesh,Huu Phan Nguyen,Pi Vu Ngoc

Publisher

Springer Science and Business Media LLC

Subject

Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.1007/s12633-019-00287-2.pdf

Reference20 articles.

1. Muthuramalingam T, Mohan B (2013) Influence of discharge current pulse on machinability in electrical discharge machining. Mater Manuf Process 28(4):375–380

2. Patowari PK, Mishra UK, Saha P, Mishra PK (2011) Surface integrity of C-40 steel processed with WC-Cu powder metallurgy green compact tool in EDM. Mater Manuf Process 26(5):668–676

3. Ekmekci B, Elkoca O, Tekkaya AE, Erden A (2005) Residual stress state and hardness depth in electric discharge machining: de-ionized water as dielectric liquid. Mach Sci Technol 9(1):39–61

4. Rajendran S, Marimuthu K, Sakthivel M (2012) Study of crack formation and resolidified layer in EDM process on T90Mn2W50Cr45 tool steel. Mater Manuf Process 28(6):664–669

5. Muthuramalingam T, Mohan B, Jothilingam A (2014) Effect of tool electrode resolidification on surface hardness in electrical discharge machining. Mater Manuf Process 29(11-12):1374–1380

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