Journal Article

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

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

2019

Overview

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%.

• Publisher: MDPI AG,MDPI
• Subject: 03 Chemical Sciences / 09 Engineering / Aerodynamics / Compressed air / Cooling / Cooling effects / CUTTING FLUIDS / Environmental protection / evolutionary algorithm / Evolutionary algorithms / Genetic algorithms / Grain size / Inlet nozzles / Lubricants & lubrication / Lubrication / MACHINABILITY / Materials Science / Materials Science, Multidisciplinary / Mechanical engineering / MQL / MQL; RHVT; optimization; turning; titanium; evolutionary algorithm / Multidisciplinary / NANO-FLUID / optimization / Optimization algorithms / PARAMETER OPTIMIZATION / Particle swarm optimization / Process engineering / Process parameters / QUANTITY LUBRICATION / R&D / Research & development / RESPONSE-SURFACE / RHVT / Science & Technology / Surface properties / SURFACE-ROUGHNESS / Technology / TEMPERATURE / titanium / Titanium alloys / Titanium base alloys / TOOL WEAR / turning / Turning (machining) / Variance analysis / Vortex chambers / VORTEX-TUBE / Vortices