2022
DOI: 10.1080/2374068x.2022.2036041
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A critical review on the progress of MQL in machining hardened steels

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Cited by 12 publications
(4 citation statements)
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“…If the R 2 and R 2 (Adj) results are close to one, then the developed models are said to be fit to the experimental data [64,65]. In the current study, Minitab 17 software was used to generate the linear regression equations under both cooling scenarios as displayed in Equations ( 1)- (10). The estimated R 2 and R 2 (Adj) results for each model are traced to be nearer to one; thus, all the generated models are fit to the experimental results.…”
Section: Regression Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…If the R 2 and R 2 (Adj) results are close to one, then the developed models are said to be fit to the experimental data [64,65]. In the current study, Minitab 17 software was used to generate the linear regression equations under both cooling scenarios as displayed in Equations ( 1)- (10). The estimated R 2 and R 2 (Adj) results for each model are traced to be nearer to one; thus, all the generated models are fit to the experimental results.…”
Section: Regression Modelingmentioning
confidence: 99%
“…This facilitates huge manufacturing cost saving in terms of lubricant cost and its disposal. MQL is also considered to be an eco-friendly cooling technique for many other different machining operations [10].…”
Section: Introductionmentioning
confidence: 99%
“…The mist has the capability to infiltrate the cutting zone, hence mitigating the generation of elevated temperatures. The conducted experiments aimed to compare the outcomes with MQL and revealed that MQL resulted in a reduction in tool wear (Sultana and Dhar, 2022). Szczotkarz et al (2020) conducted a study to examine the advantages of using the MQL and MQCL techniques alongside the extreme pressure and anti-wear (EP/AW) approach.…”
Section: Introductionmentioning
confidence: 99%
“…Research on the application of MQL technology in hard turning process has been studied by many authors. The studies mainly focus on and investigate the influence of the parameters of the MQL technology on the efficiency of the cutting process [8]. The results of the studies show that when using MQL technology, it is possible to improve the surface quality and increase tool life compared to dry machining and flood cooling technologies.…”
Section: Introductionmentioning
confidence: 99%