Multi-objective Optimization of Double-Jet MQL System Parameters Meant for Enhancing the Turning Performance of Ti–6Al–4V Alloy

Zaman, Prianka B.; Dhar, Nikhil Ranjan

doi:10.1007/s13369-020-04806-x

Cited by 20 publications

(6 citation statements)

References 70 publications

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“…At the inclined angle of 65 deg., energy consumption is maximum. Similar impacts of the inclined angle on the machining forces can be found in the works of [18,19]. Fig.…”

Section: Influences Of Mql Variables On the Responsessupporting

confidence: 78%

“…With the nozzle diameter of 0.5 mm, energy consumption is maximum, while the minimum energy is obtained at the nozzle diameter of 1.5 mm. A higher diameter causes a reduction in the machining forces that can be found in the turning [18] and milling [19] operations.…”

Section: Influences Of Mql Variables On the Responsesmentioning

confidence: 99%

“…Moreover, the increase in oil quantity benefits an effective cooling at the interface. Therefore, low energy consumption is required at a higher F. A reduction in the energy consumption with a higher oil quantity is presented in the turning [18] and milling [19] operations. Fig.…”

Section: Influences Of Mql Variables On the Responsesmentioning

confidence: 99%

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Multi-Response Optimization of Burnishing Variables for Minimizing Environmental Impacts

2023

Teh. vjesn.

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The purpose of this investigation is to optimize minimum quantity lubrication (MQL) variables, including the nozzle diameter (D), inclined angle (A), air pressure (P), oil quantity (F), and spraying distance (S) for decreasing the energy consumption in the burnishing time (EB) and particulate matter index (PI) of the interior burnishing process. The optimal adaptive neuro-based-fuzzy inference system (ANFIS) models of the performance measures were proposed in terms of the MQL variables with the aid of the Taguchi method. The non-dominated sorting genetic algorithm based on the grid partitioning (NSGA-G) and TOPSI were employed to produce feasible solutions and determine the best optimal point. The obtained results indicated that the optimal values of the D, A, P, F, and S are 1.0 mm, 35 deg., 3 Bar, 70 ml/h, and 10 mm, respectively, while the EB and PI are decreased by 8.0% and 15.7% at the optimal solution. The optimal ANFIS models were trustworthy and ensure accurate predictions. The optimization technique comprising the ANFIS, NSGA-G, and TOPSIS could be extensively utilized to determine the optimal outcomes instead of the trial-error and/or human experience. The outcomes could help to decrease environmental impacts in the practical burnishing process.

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“…At the inclined angle of 65 deg., energy consumption is maximum. Similar impacts of the inclined angle on the machining forces can be found in the works of [18,19]. Fig.…”

Section: Influences Of Mql Variables On the Responsessupporting

confidence: 78%

Section: Influences Of Mql Variables On the Responsesmentioning

confidence: 99%

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Multi-Response Optimization of Burnishing Variables for Minimizing Environmental Impacts

2023

Teh. vjesn.

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“…The ranges of the flow rate (Q), nozzle distance (N), and nozzle elevation angle (A) are selected based on the characteristics of the MQL system and confirmed with references [1], [3], and [5]. The Box-Benkhen design with two replications is applied to produce the experimental data in terms of saving trial costs and human efforts, as shown in Table 5.…”

Section: Impacts Of Mql Parameters On the Ra And Vhmentioning

confidence: 99%

“…The deployment of the MQL system for different machining processes has attracted many researchers. Zaman and Dhar [1] stated that Ra, cutting force (CF), and cutting temperature (CT) were decreased by 5.78 %, 1.27 %, and 3.93 % at a proper parameter setting, respectively, for the MQL turning Ti6Al4V, in which the nozzle diameter, nozzle elevation angle (A), flow rate (Q), and air pressure were optimizing inputs. Tamang et al [2] emphasized that the power consumption (PC), Ra, and tool wear (TW) of the MQL turning Inconel 825 were decreased by 16.57 %, 8.47 %, and 10.41 %, respectively, as compared to the dry condition.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Burnishing Variables on the Quality Indicators in a Single Diamond Burnishing Operation

Thai¹,

Van²,

Nguyen³

2023

sv-jme

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Diamond burnishing is an effective solution to finish a surface. The purpose of the current work is to optimize parameter inputs, including the spindle speed (S), depth of penetration (D), feed rate (f), and diameter of tool-tip (DT) for improving the Vickers hardness (VH) and decreasing the average roughness (Ra) of a new diamond burnishing process. A set of burnishing experiments is executed under a new cooling lubrication system comprising the minimum quantity lubrication and double vortex tubes. The Bayesian regularized feed-forward neural network (BRFFNN) models of the performances are proposed in terms of the inputs. The criteria importance through the inter-criteria correlation (CRITIC) method and non-dominated sorting genetic algorithm based on the grid partitioning (NSGA-G) are applied to compute the weights of responses and find optimality. The optimal outcomes of the S, D, f, and DT were 370 rpm, 0.10 mm, 0.04 mm/rev, and 8 mm, respectively. The improvements in the Ra and VH were 40.7 % and 7.6 %, respectively, as compared to the original parameters. An effective approach combining the BRFFNN, CRITIC, and NSGA-G can be widely utilized to deal with complicated optimization problems. The optimizing results can be employed to enhance the surface properties of the burnished surface.

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Mechanism, cutting performance, and tool wear of MQL milling aluminum alloys with dual-nozzle

Qiao,

Yang,

Zhen

et al. 2024

Int J Adv Manuf Technol

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Multi-objective Optimization of Double-Jet MQL System Parameters Meant for Enhancing the Turning Performance of Ti–6Al–4V Alloy

Cited by 20 publications

References 70 publications

Multi-Response Optimization of Burnishing Variables for Minimizing Environmental Impacts

Multi-Response Optimization of Burnishing Variables for Minimizing Environmental Impacts

Impacts of Burnishing Variables on the Quality Indicators in a Single Diamond Burnishing Operation

Mechanism, cutting performance, and tool wear of MQL milling aluminum alloys with dual-nozzle

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