Multi-objective optimization of chip-tool interaction parameters using Grey-Taguchi method in MQL-assisted turning

Mia, Mozammel; Rifat, Asaduzzaman; Tanvir, Md. Farhan; Gupta, Munish Kumar; Hossain, Mohammad Jobayer; Goswami, Abir

doi:10.1016/j.measurement.2018.07.014

Cited by 82 publications

(26 citation statements)

References 47 publications

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“…Therefore, when magnesium-containing hybrid components are going to be mechanized, it is necessary to take certain security measures regarding the lubricants or coolant systems employed. Depending on the material or materials with which magnesium is combined, different lubrication/cooling techniques can be used [17,18] both individually (dry machining [19][20][21][22][23][24][25][26][27][28][29][30][31], minimum quantity lubrication (MQL) [30][31][32][33][34][35][36][37][38][39][40][41][42], solid lubrication [43][44][45][46][47], cryogenic cooling [48][49][50][51][52][53][54][55], gaseous cooling [56][57][58][59][60][61], nanofluids …”

Section: Introductionmentioning

confidence: 99%

Repairing Hybrid Mg–Al–Mg Components Using Sustainable Cooling Systems

et al. 2020

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This paper focused on the maintenance or repair of holes made using hybrid Mg–Al–Mg components by drilling, using two sustainable cooling techniques (dry machining and cold compressed air) and taking surface roughness on the inside of the holes as the response variable. The novelty of the work is in proving that the repair operations of the multi-material components (magnesium–aluminum–magnesium) and the parts made of aluminum and magnesium (separately) but assembled to form a higher component can be done simultaneously, thus reducing the time and cost of the assembly and disassembly of this type of component. The study is based on a design of experiments (DOE) defined as a product of a full factorial 23 and a block of two factors (3 × 2). Based on our findings, we propose that the analyzed operations are feasible under sustainable conditions and, in particular, under dry machining. Also, the results depend on the machining order.

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Section: Introductionmentioning

confidence: 99%

Repairing Hybrid Mg–Al–Mg Components Using Sustainable Cooling Systems

et al. 2020

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“…The authors disclose that tool wear, surface finish and temperature were reduced compared with vegetable oil with MQL. Mia et al [26] conducted experimental study in turning AISI 1060 steel with dry and MQL conditions. He noticed that cutting temperature was reduced with MQL.…”

Section: Introductionmentioning

confidence: 99%

Performance of silver nanofluids with minimum quantity lubrication in turning on titanium: a phase to green manufacturing

Anandan

Babu²,

Muthukrishnan

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Nowadays industries are looking forward for a sustainable manufacturing. Nanofluid with minimum quantity lubrication is one technology in the areas of green manufacturing, which minimizes the pollution caused to the environments. The aim of this work was to examine the influence of silver nanoparticles-based cutting fluid with minimum quantity lubrication in turning on titanium (grade 2) by changing the environmental conditions. Taguchi's L 27 orthogonal array has been selected to execute the experimental trials. The responses considered are surface roughness, temperature and tool wear. The process parameters selected for this analysis were environment, cutting speed, feed and depth of cut. The principal component analysis was used to determine the optimal conditions in turning parameters. It was noticed that environment is the key parameter in defining the responses. Under optimal conditions, the surface roughness has been decreased by 89%, temperature has been reduced by 44% and wear on the tool has also been reduced. The tool wear and chip morphology were reviewed through scanning electron microscope for a complete study.

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“…The turning performance of Inconel-800 superalloys depends mainly on controlling its process parameters. Therefore, the ideal procedure is obtained by embedding a suitable optimization strategy for selecting the best parameters [18].…”

Section: Introductionmentioning

confidence: 99%

Parametric optimization and process capability analysis for machining of nickel-based superalloy

Gupta

Mia

Pruncu

et al. 2019

Int J Adv Manuf Technol

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111

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The manufacturing of parts from nickel-based superalloy, such as Inconel-800 alloy, represents a challenging task for industrial sites. Their performances can be enhanced by using a smart cutting fluid approach considered a sustainable alternative. Further, to innovate the cooling strategy, the researchers proposed an improved strategy based on the minimum quantity lubrication (MQL). It has an advantage over flood cooling because it allows better control of its parameters (i.e., compressed air, cutting fluid). In this study, the machinability of superalloy Inconel-800 has been investigated by performing different turning tests under MQL conditions, where no previous data are available. To reduce the numerous numbers of tests, a target objective was applied. This was used in combination with the response surface methodology (RSM) while assuming the cutting force input (F c), potential of tool wear (VB max), surface roughness (Ra), and the length of tool-chip contact (L) as responses. Thereafter, the analysis of variance (ANOVA) strategy was embedded to detect the significance of the proposed model and to understand the influence of each process parameter. To optimize other input parameters (i.e., cutting speed of machining, feed rate, and the side cutting edge angle (cutting tool angle)), two advanced optimization algorithms were introduced (i.e., particle swarm optimization (PSO) along with the teaching learning-based optimization (TLBO) approach). Both algorithms proved to be highly effective for predicting the machining responses, with the PSO being concluded as the best amongst the two. Also, a comparison amongst the cooling methods was made, and MQL was found to be a better cooling technique when compared to the dry and the flood cooling.

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Multi-objective optimization of chip-tool interaction parameters using Grey-Taguchi method in MQL-assisted turning

Cited by 82 publications

References 47 publications

Repairing Hybrid Mg–Al–Mg Components Using Sustainable Cooling Systems

Repairing Hybrid Mg–Al–Mg Components Using Sustainable Cooling Systems

Performance of silver nanofluids with minimum quantity lubrication in turning on titanium: a phase to green manufacturing

Parametric optimization and process capability analysis for machining of nickel-based superalloy

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