Investigations of Machining Characteristics in the Upgraded MQL-Assisted Turning of Pure Titanium Alloys Using Evolutionary Algorithms.

Gurraj Singh,Aqib Mashood Khan,Vishal S Sharma,Binayak Sen,Catalin Iulian Pruncu,Mozammel Mia,Munish Kumar Gupta,Danil Yurievich Pimenov,Muhammad Jamil

doi:10.3390/ma12060999

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%.

Highlights

IntroductionThe economical and productive aspects of any production process rely directly on the manufacturing parameters [1]
In manufacturing industries, the economical and productive aspects of any production process rely directly on the manufacturing parameters [1]
The results suggest that the vortex tube-assisted minimum quantity lubrication (MQL) (VMQL) reduced the roughness values at different combinations of input parameters

Summary

Introduction

The economical and productive aspects of any production process rely directly on the manufacturing parameters [1]. The conversion of the mechanical energy generates heat energy [3]—this phenomenon elevates the cutting zone temperatures. This elevation varies from material to material. The past two decades have witnessed the use of a number of techniques, but because of economic and environmental constraints, more sustainable techniques are in demand [5]. The International Organization for Standardization’s (ISO’s) standard 14001 has been framed, with the main target of reducing environmental hazards from such industrial processes [6]

Methods

Results

Conclusion