Experimental characterization of the performance of MQL-assisted turning of solution heat-treated and aged Inconel 718 alloy

Tian, Pengfei; Lin, He; Zhou, Tao; Du, Feilong; Zou, Zichuan; Zhou, Xiaorong

doi:10.1007/s00170-023-10890-8

Cited by 6 publications

(3 citation statements)

References 37 publications

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“…This improvement stems from increased friction between the tool and workpiece, resulting in higher cutting temperatures with increasing cutting speed. Elevated temperatures in the machining zone cause thermal softening of the workpiece, reducing smeared materials on the machined surface and consequently minimizing roundness deviation [77,85,86]. As depicted in Figure 8, Rd values escalate with rising cutting speed due to heightened tool resistance against the workpiece, particularly as feed increases, leading to the formation of more built-up edges (BUE) on the tool face.…”

Section: Optimization Of Turning Input Parameters Using Taguchi Metho...mentioning

confidence: 99%

Optimization of Sustainable Production Processes in C45 Steel Machining Using a Confocal Chromatic Sensor

Jurko,

Paľová,

Michalík

et al. 2024

Lubricants

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Metal machining production faces a myriad of demands encompassing ecology, automation, product control, and cost reduction. Within this framework, an exploration into employing a direct inspection of the machined area within the work zone of a given machine through a confocal chromatic sensor was undertaken. In the turning process, parameters including cutting speed (A), feed (B), depth of cut (C), workpiece length from clamping (D), and cutting edge radius (E) were designated as input variables. Roundness deviation (Rd) and tool face wear (KM) parameters were identified as output factors for assessing process performance. The experimental phase adhered to the Taguchi Orthogonal Array L27. Confirmatory tests revealed that optimizing process parameters according to the Taguchi method could enhance the turning performance of C45 steel. ANOVA results underscored the significant impact of cutting speed (A), feed (B), depth of cut (C), and workpiece length from clamping (D) on turning performance concerning Rd and KM. Furthermore, initial regression models were formulated to forecast roundness variation and tool face wear. The proposed parameters were found to not only influence the machined surface but also affect confocal sensor measurements. Consequently, we advocate for the adoption of these optimal cutting conditions in product production to bolster turning performance when machining C45 steel.

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Section: Optimization Of Turning Input Parameters Using Taguchi Metho...mentioning

confidence: 99%

Optimization of Sustainable Production Processes in C45 Steel Machining Using a Confocal Chromatic Sensor

Jurko,

Paľová,

Michalík

et al. 2024

Lubricants

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“…With high strength, high creep resistance and high fatigue life, Inconel 718 alloy is used extensively in nuclear engineering, aviation and space, cryogenic engineering and turbines [1,2] . However, Inconel 718 has poor thermal conductivity and high cutting temperature, which tend to exacerbate the plastic deformation of chips and are typically difficult to machine metals [3] .…”

Section: Introductionmentioning

confidence: 99%

The effect of chipbreaker parameters on the cutting temperature of Inconel 718 alloy based on the secondary development of Abaqus

Chen

2023

J. Phys.: Conf. Ser.

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Inconel 718 alloy has high strength and generates high temperature during cutting. The impact of chipbreaker dimensions on the cutting temperature when cutting Inconel 718 alloy was investigated. Based on the finite element software Abaqus, a kernel script program is written to develop a cutting simulation plug-in that can quickly change parameters so that users can select tools with different chipbreaker structures, and quickly set tool and cutting parameters to complete a series of pre-processing operations such as modeling, assembly, and meshing. The impact of chipbreaker channel characteristics on the cutting temperature of Inconel 718 alloy is also analyzed by example to verify the effectiveness of the developed plug-in. It provides a convenient tool for subsequent control and optimization of cutting temperature.

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“…In MQL, compressed air is used to spray a small amount of lubricant oil over the cutting zone in the form of aerosol by keeping the flow rate between 10 to 100 mL/h [12,24]. Various researchers have observed significant improvements in results while machining under MQL in comparison with machining under dry and wet conditions [23,25]. Khatri and Jahan et al observed superior results using MQL conditions in comparison with dry and flooded cutting conditions in terms of tool wear while machining Ti-6Al-4V [26].…”

Section: Introductionmentioning

confidence: 99%

Parametric Analysis of Tool Wear, Surface Roughness and Energy Consumption during Turning of Inconel 718 under Dry, Wet and MQL Conditions

Siddique,

Faraz,

Butt

et al. 2023

Machines

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Economy and productivity are the two most important elements of modern manufacturing systems. Economy is associated with energy-efficient operations, which results in an overall high input-to-output ratio, while productivity is related to quality and quantity. This specific work presents experimental investigations of the use of cooling conditions (dry, MQL and wet) as input variables alongside other input parameters, including depth of cut, feed and cutting speed. This research aimed to investigate the variation in output responses including tool wear, specific cutting energy, and surface roughness while machining Inconel 718, a nickel-based super alloy. For experimentation, three levels of depth of cut, feed, and cutting speed were chosen. The Taguchi method was used for the experimental design. The contribution ratio of each input parameter was ascertained through analysis of variance (ANOVA). Use of coolant showed a positive effect on process parameters, particularly MQL. By adapting the optimum machining conditions, specific cutting energy was improved by 27%, whereas surface roughness and tool wear were improved by 15% and 30%, respectively.

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Experimental characterization of the performance of MQL-assisted turning of solution heat-treated and aged Inconel 718 alloy

Cited by 6 publications

References 37 publications

Optimization of Sustainable Production Processes in C45 Steel Machining Using a Confocal Chromatic Sensor

Optimization of Sustainable Production Processes in C45 Steel Machining Using a Confocal Chromatic Sensor

The effect of chipbreaker parameters on the cutting temperature of Inconel 718 alloy based on the secondary development of Abaqus

Parametric Analysis of Tool Wear, Surface Roughness and Energy Consumption during Turning of Inconel 718 under Dry, Wet and MQL Conditions

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