Effects of Milling Methods and Cooling Strategies on Tool Wear, Chip Morphology and Surface Roughness in High Speed End-Milling of Inconel-718

Abstract

This paper presents the results of experimental investigation of the effects of milling methods (up-milling and down-milling) and cooling strategies [emulsion cooling, minimum quantity lubrication (MQL), cryogenic cooling using liquid nitrogen (LN2) and combined (MQL + LN2)] on flank wear, chip morphology and surface roughness in peripheral high speed end-milling of Inconel-718. The experimental results show that down-milling generated lower maximum flank wear than up-milling for all cooling strategies, thus improves machinability. MQL cooling with down-milling generated lowest maximum flank wear of 0.072 mm after eight passes and is recommended for machining Inconel-718, whereas LN2 cooling with up-milling generated highest flank wear of 1.984 mm after first pass only. Tool wear mechanism in up-milling is adhesion and failure modes are chipping and plastic deformation, causing rapid tool wear, while abrasion is the tool wear mechanism under down-milling causing progressive tool wear. Also, emulsion up-milling generated lowest surface roughness of 0.29 µm, whereas emulsion, MQL and combined (MQL + LN2) cooling strategies with down-milling generated equal and second lowest surface roughness of 0.34 µm. Results show that using MQL cooling under down-milling for machining Inconel-718 can lead to significant cost saving and sustainable machining.

Department(s)

Mechanical and Aerospace Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Chip morphology; Cooling strategies; Cryogenic cooling; Emulsion cooling; High speed end-milling; Inconel 718; Machinability; Machining; Milling methods; Minimum quantity lubrication; Surface roughness; Tool wear

International Standard Serial Number (ISSN)

1748-5711; 1748-572X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2019 Inderscience Enterprises Ltd., All rights reserved.

Publication Date

01 Jan 2019

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