Investigations of machining characteristics in upgraded MQL assisted turning of pure titanium alloy using evolutionary algorithms
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Environmental protection is the major concern of any form of manufacturing industry today. As focus has shifted towards sustainable cooling strategies, minimum quantity lubrication (MQL) has proven its usefulness. The current survey intends to make the MQL strategy more effective while improving its performance. A Ranque–Hilsch vortex tube (RHVT) was implemented into the MQL process in order to enhance the performance of the manufacturing process. The RHVT is a device that allows for separating the hot and cold air within the compressed air flows that come tangentially into the vortex chamber through the inlet nozzles. Turning tests with a unique combination of cooling technique were performed on titanium (Grade 2), where the effectiveness of the RHVT was evaluated. The surface quality measurements, forces values, and tool wear were carefully investigated. A combination of analysis of variance (ANOVA) and evolutionary techniques (particle swarm optimization (PSO), bacteria foraging optimization (BFO), and teaching learning-based optimization (TLBO)) was brought into use in order to analyze the influence of the process parameters. In the end, an appropriate correlation between PSO, BFO, and TLBO was investigated. It was shown that RHVT improved the results by nearly 15% for all of the responses, while the TLBO technique was found to be the best optimization technique, with an average time of 1.09 s and a success rate of 90%.
Date Issued
2019-03-26
Date Acceptance
2019-03-22
Citation
Materials, 2019, 12 (6)
ISSN
1996-1944
Publisher
MDPI
Journal / Book Title
Materials
Volume
12
Issue
6
Copyright Statement
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Subjects
Science & Technology
Technology
Materials Science, Multidisciplinary
Materials Science
MQL
RHVT
optimization
turning
titanium
evolutionary algorithm
TOOL WEAR
QUANTITY LUBRICATION
PARAMETER OPTIMIZATION
SURFACE-ROUGHNESS
RESPONSE-SURFACE
CUTTING FLUIDS
VORTEX-TUBE
NANO-FLUID
TEMPERATURE
MACHINABILITY
03 Chemical Sciences
09 Engineering
Publication Status
Published
Article Number
ARTN 999