Deionized Water Electrochemical Machining Hybridized with Alumina Powder Polishing for Microcavity of M-333 Mold Steel

4Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

An electrochemical machining (ECM) process for microcavity fabrication with deionized water (DI-water) and an ECM polishing hybrid with alumina powder of 1.0 µm grains on a single micro-EDM machine are proposed. The process adopts tungsten carbide as tool electrode and M-333 tool steel as the mold material. It reveals that employing the 30 µm/min feed rate with 50 mA and 0.2 ms of pulse-width is suitable for DI-water electrochemical machining. The DI-water ECM process can achieve an excellent surface roughness at Ra 0.169 µm on a semispherical round cavity. Combining the ECM with hybrid polishing with the alumina powder can achieve a better profile for a much deeper cavity than pure electrolytic discharge machining. The hybrid ECM polishing can efficiently finish a micro square insert of 0.6 mm length at 64 µm depth. Such ECM milling can achieve an S-shaped microchannel of radius 1.0 mm and a slot of 1.0 × 0.5 mm2 with 110 µm depth, demonstrating its feasibility and the surface integrity with accurate profile and roughness of Ra 0.227 µm. This study provides a cost-effective scheme for micro mold fabrication with a conventional micro-EDM machine tool and an intuitive and convenient optional process. However, some micro-electrical discharges occurred due to the breakdown of insulation, which creates micro craters on the surface of the parts.

References Powered by Scopus

Cited by Powered by Scopus

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Hsue, A. W. J., & Huang, Z. Y. (2022). Deionized Water Electrochemical Machining Hybridized with Alumina Powder Polishing for Microcavity of M-333 Mold Steel. Processes, 10(1). https://doi.org/10.3390/pr10010152

Readers over time

‘22‘23‘2402468

Readers' Seniority

Tooltip

Professor / Associate Prof. 2

40%

PhD / Post grad / Masters / Doc 2

40%

Researcher 1

20%

Readers' Discipline

Tooltip

Engineering 4

80%

Computer Science 1

20%

Save time finding and organizing research with Mendeley

Sign up for free
0