EDM machinability and surface roughness analysis of TiB2 using copper electrodes

Date

2017-01-05

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión aceptada / Onetsi den bertsioa

Project identifier

Impacto
No disponible en Scopus

Abstract

Titanium diboride (TiB2) is a sintered ceramic material which has a high industrial interest due to its excellent mechanical properties, such as immense hardness, elastic modulus, and abrasion resistance. Unlike most ceramics, this material can be machined by using an electrical discharge machining (EDM) process because of its good thermal and electrical conductivity. In this present study the applicability of an EDM process for manufacturing titanium diboride is analysed. To do that, the influence of EDM parameters is studied on three of the most important technological characteristics in EDM: material removal rate (MRR), electrode wear (EW) and surface roughness (Ra). Results confirm that the most influential factor on MRR and Ra is the current intensity whereas in the case of EW, it is the pulse time. Additionally, the control of these parameters allows technological tables to be obtained in order to determine the optimum operating conditions. Such technological tables exist for the case of steels but they do not exist for TiB2, in which the optimal conditions are to be determined experimentally.

Description

Keywords

TiB2, Electrical discharge machining (EDM), Material removal rate (MRR), Electrode wear (EW), Surface roughness

Department

Ingeniería / Ingeniaritza / Institute for Advanced Materials and Mathematics - INAMAT2

Faculty/School

Degree

Doctorate program

item.page.cita

Torres-Salcedo, A., Luis-Pérez, C.J., Puertas-Arbizu, I. (2017). EDM machinability and surface roughness analysis of TiB2 using copper electrodes. Journal of Alloys and Compounds: an interdisciplinary journal of materials science and solid-state chemistry and physics., 690, 337-347. https://doi.org/10.1016/j.jallcom.2016.08.110.

item.page.rights

© 2016 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0.

Licencia

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