JOURNAL ARTICLE
Development and Experimental Study of Electrochemical Diamond Drilling Process on Ti6Al4V.
Published In: Journal of Advanced Manufacturing Systems, 2024, v. 23, n. 1. P. 95 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Shekhar, Mayank; Singh Yadav, Sanjeev Kumar 3 of 3
Abstract
Electrochemical diamond drilling (ECDD) process is a chemical energy-based hybrid machining technique where the removal of material from the workpiece occurs with the help of both anodic dissolution and mechanical abrasion. Titanium alloys have remarkable mechanical as well as chemical properties, however, excellent properties enhance the difficulty in machining of titanium. Ti6Al4V, alloy of titanium contains α and β phase which have different dissolution potentials and produces poor surface when electrochemically machined. Here electrochemical diamond drilling of Ti6Al4V is done with a diamond abrasive tool which helps in mechanical abrasion and further by electrochemical dissolution hence this increases the rate of material removal and minimizes surface roughness. From the experiments, the suitable machining range was found to be, voltage 13–17 V, tool feed rate 0.09–0.15 mm/min, and electrolyte concentration of electrolyte from 225 g/l to– 275 g/l, with tool rotation ranging between 800 RPM and 1200 RPM. The MRR range found was between 30.57 mg/min and 53.11 mg/min with Ra values ranging between 2.66 μ m and –5.76 μ m. The variation of machining with ECDD tool and bare ECD tool has also been graphically represented which highlights the benefits of diamond abrasive-based ECDD tool. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Advanced Manufacturing Systems. 2024/03, Vol. 23, Issue 1, p95
- Document Type:Article
- Subject Area:Geology
- Publication Date:2024
- ISSN:0219-6867
- DOI:10.1142/S0219686724500045
- Accession Number:176363304
- Copyright Statement:Copyright of Journal of Advanced Manufacturing Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.