Optimization of machining parameters of aluminum alloy 6026-T9 under MQL-assisted turning process

Abas, Muhammad; Sayd, Lal; Akhtar, Rulia; Khalid, Qazi Salman; Khan, Aqib Mashood; Pruncu, Catalin I.

doi:10.1016/j.jmrt.2020.07.071

Cited by 72 publications

(18 citation statements)

References 46 publications

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“…Abas et al [ 118 ] studied the optimization of machining parameters such as depth of cut, feed rate, cutting speed, and positive rake angle which affect surface roughness, tool life, and material removal rate of aluminum alloy under MQL-assisted turning process. They found that MQL was more efficient in comparison to dry machining in terms of better surface finish and longer tool life.…”

Section: Machining Under the Mql Techniquementioning

confidence: 99%

Recent progress and evolution of coolant usages in conventional machining methods: a comprehensive review

Kui

Islam

Reddy

et al. 2021

Int J Adv Manuf Technol

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This paper reviews recent progress and applications of usage of cutting fluids in conventional machining processes. In addition to reviewing the various conventional and advanced cooling techniques during machining, the paper also discusses the use of minimum quantity lubrication (MQL) in several types on metals such as steel, aluminum, alloy, and titanium alloys. Due to the toxicity of conventional cutting fluid resulting in ecological problems, the demand for environmentally friendly cutting fluid is rising. Therefore, natural vegetable oil is chosen as potential replacement as an environmentally friendly cutting fluid which fulfills the important aspects of biodegradability and sustainability. Application of vegetable oil-based cutting fluids under MQL techniques are also discussed. Moreover, the potential of palm oil as biodegradable and environmentally friendly natural vegetable oil-based metal-working fluids in MQL are reviewed.

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Section: Machining Under the Mql Techniquementioning

confidence: 99%

Recent progress and evolution of coolant usages in conventional machining methods: a comprehensive review

Kui

Islam

Reddy

et al. 2021

Int J Adv Manuf Technol

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“…In end-milling operation, the key attributes that are highly desirable are lower surface roughness, higher material removal rate, longer tool life, and lower dimensional deviation [1]. These attributes greatly depend on the proper selection of cutting tools, machining conditions, and cutting process parameters, namely cutting speed, feed rate, depth of cut, and width of cut [2]. Dry and nearly dry machining is highly desirable as it is more sustainable than flood machining [3].…”

Section: Introductionmentioning

confidence: 99%

“…Subjective-based methods are based on the judgment of experts. Delphi method, pairwise comparison (such as analytical hierarchy process (AHP)), ranking method, point allocation, and simple multi-attribute rating technique (SMART) are examples of subjective weights [2]. However, no expert's opinion is required in objective-based methods, and the weights are computed based on available data.…”

Section: Introductionmentioning

confidence: 99%

“…However, no expert's opinion is required in objective-based methods, and the weights are computed based on available data. The subjective-based methods are standard deviation, entropy, principal component analysis (PCA), and criteria importance through inter-criteria correlation (CRITIC) [2,20]. CRITIC is considered more reliable than other techniques because, unlike other techniques, it incorporates the degree of contrast and conflict in the determination of weights [21].…”

Section: Introductionmentioning

confidence: 99%

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Parametric Study and Optimization of End-Milling Operation of AISI 1522H Steel Using Definitive Screening Design and Multi-Criteria Decision-Making Approach

et al. 2022

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End-milling operation of steel grade material is a challenging task as it is hard-to-cut material. Proper selection of cutting tools, cutting conditions, and cutting process parameters is important to improve productivity, surface quality, and tool life. Therefore, the present study investigated the end-milling operation of AISI 1522H steel grade under minimum-quantity lubrication (MQL) conditions using a novel blend of vegetable oils, namely canola and olive oil. Cutting process parameters considered were spindle speed (s), feed rate (f), depth of cut (d), width of cut (w), and cutting conditions (c), while responses were average surface roughness (Ra), cutting forces (Fc), tool wear (TW), and material removal rate (MRR). Experimental runs were designed based on the definitive screening design (DSD) method. Analysis of variance (ANOVA) results show that feed rate significantly affects all considered responses. Nonlinear prediction models were developed for each response variable, and their validity was also verified. Finally, multi-response optimization was performed using the combinative distance-based assessment (CODAS) method coupled with criteria importance through inter-criteria correlation (CRITIC). The optimized parameters found were: s = 1200 rpm, f = 320 mm/min, d = 0.6 mm, w = 8 mm, and c = 100 mL/h. Further, it was compared with other existing multi-response optimization methods and induced good results.

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“…Machinability can be improved, in comparison with dry machining, using minimum quantity lubrication (MQL). In [15] it was shown that the use of MQL in the machining of aluminium alloy 6026-T9 significantly improves the quality of the machined surface. Moreover, it was found that tool flank wear advancement in the MQL environment is relatively slow in comparison with dry machining.…”

Section: Introductionmentioning

confidence: 99%

Application of discrete wavelet transform to analysis of cutting forces in turning of composites based on aluminium alloys reinforced with Al2O3 fibres

Karolczak¹

2021

FME Transactions

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This paper presents the results of experimental tests of the turning of an aluminium composite reinforced with Al2O3 fibres. The tests were carried out using three cutting tools with no cutting fluid and in minimum quantity lubrication (MQL) conditions. The cutting forces were measured. For further analyses the main force component was selected. Its mean values and amplitudes were calculated. Then the registered traces were filtered with Daubechies wavelets. Load constancy factors for the filtered off signals were calculated and compared with the factors calculated from the unfiltered signals. On the basis of this comparison, the level of disturbances and noise during the turning of the aluminium composites was assessed and the effect of the machining conditions on the size of the disturbances was determined. It has been found that the discrete wavelet transform can be a tool aiding the monitoring of the turning of composites.

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Optimization of machining parameters of aluminum alloy 6026-T9 under MQL-assisted turning process

Cited by 72 publications

References 46 publications

Recent progress and evolution of coolant usages in conventional machining methods: a comprehensive review

Recent progress and evolution of coolant usages in conventional machining methods: a comprehensive review

Parametric Study and Optimization of End-Milling Operation of AISI 1522H Steel Using Definitive Screening Design and Multi-Criteria Decision-Making Approach

Application of discrete wavelet transform to analysis of cutting forces in turning of composites based on aluminium alloys reinforced with Al2O3 fibres

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