Performance Analysis of Trihexyltetradecylphosphonium Chloride Ionic Fluid under MQL Condition in Hard turning

Generation of total heat in hard turning largely influenced the cutting tool wear, tool life and finishing quality of work-surface. Thus, the measurement of this heat in terms of temperature becomes a necessity for achieving favourable machining performances. Therefore, this work presents a novel study on temperature measurement in three different zones during hard turning operation of 4340 grade steel under pulsating MQL environment. Temperatures are measured at three different locations namely chip-tool interface, flank face, and machined work surface (near to tool-work contact) and the location wise temperature is termed as chip tool interface temperature (T), flank face temperature (Tf) and machined work surface temperature (Tw) correspondingly. The temperature T and Tf are measured with help of K-type thermocouple while Tw is measured by Fluke make infra-red thermal camera. Pulsating MQL significantly reduced the temperature as the maximum temperature is noticed 110 °C which corresponds to chip-tool interface temperature (T) at highest speed (200 m/min) condition. In each test, the order of temperature follow the trend as: T > Tf > Tw. Considering average of all 16 temperatures, T is 14.42% greater than Tf and 39.36% larger than Tw while Tf is 21.79% greater than Tw. Experimental results concludes that the cutting speed is the most influencing factor followed by depth of cut for both T and Tf, whereas depth of cut is the most influencing factor for Tw. Further, these temperatures are predicted using linear regression, and absolute mean error (MAE) for responses T, Tf, and Tw is noticed as 1.848%, 0.542%, and 3.766% individually. Additionally, the optimum setting of input terms are estimated using WPCA (weighted principal component analysis) and found to be dc1 (0.1 mm) − fr2 (0.08 mm/rev) − vc2 (100 m/min) − Pt2 (2 s).

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“…Linear regression modelling (LRM) is implemented to predict the individual output data [50,51]. Minitab 17 is utilized to accomplish the LRM.…”

Section: Prediction By Linear Regressionmentioning

confidence: 99%

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

Roy

Kumar

Sahoo

et al. 2020

Mechanics & Industry

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“…Various studies have been performed by using MQL approach to improve the machinability performance index by number of researchers. Pandey et al, [13] investigated the performance of Trihexyltetradecylphosphonium Chloride mixed with organic coconut oil applied by MQL approach during turning of hardened D2 steel. They found improvement in performance characteristics such as tool wear, surface roughness, material removal rate, and chip morphology.…”

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confidence: 99%

Multi-objective Optimization of Turning Performance Characteristics using GA Coupled with AHP based Approach

Tamang

Chandrasekaran

2021

IJIE

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Heat resistive super alloys (HRSAs) which are commonly known as Inconel alloys are extensively used in aeronautical, food processing and automobile industries. The machinability and parametric optimization of Inconel 825 have not been reported much in the literatures. This study attempts to experimentally investigate and optimize the process parameters during machining Inconel 825 for multiple performance characteristics. Spindle speed (N), feed rate (f) and depth of cut (d) are optimized for different responses namely surface roughness (Ra), cutting force (Fz) and metal removal rate (MRR). Feed is found to have the highest influence on Ra and Fz. A mathematical model based on multiple regression analysis is developed for predicting Ra, Fz and MRR. Taguchi analysis is used for optimizing single objective through mean effect plots. For simultaneously optimizing all the responses a weighted combination of objective function is formulated and optimized using genetic algorithm (GA).The optimum parametric combination being 1200 rpm, 0.113 mm/rev and 0.825 mm for N, f and d respectively. In the present work analytical hierarchy processes (AHP) is employed for evaluating weights for each performance measures based on their relative importance. Also, Pareto optimality approach is used for obtaining optimum solutions that produce components with maximum MRR at desired value of Ra is another new contribution of this research. The Pareto optimal solution yields a minimum surface roughness of 1.42µm at N=1204.5 rpm, f=0.124 mm/rev and d=0.503 mm. This is quite lower than the minimum value of 1.6µm obtained experimentally. The NSGA-II result was verified experimentally and the actual surface roughness obtained was1.46µm resulting in an error percentage of 2.8%. The developed approach can be economically applied for the production of quality components from Inconel 825 by industries.

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Minimum quantity lubrication machining nickel base alloy: a comprehensive review

Zhou,

Wang,

et al. 2023

Int J Adv Manuf Technol

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Performance Analysis of Trihexyltetradecylphosphonium Chloride Ionic Fluid under MQL Condition in Hard turning

Cited by 8 publications

References 42 publications

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

Multi-objective Optimization of Turning Performance Characteristics using GA Coupled with AHP based Approach

Minimum quantity lubrication machining nickel base alloy: a comprehensive review

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