Experimental Investigation on Laser-Processed Micro-Dimple and Micro-Channel Textured Tools during Turning of Inconel 718 Alloy

Rajurkar, Avadhoot; Chinchanikar, Satish

doi:10.1007/s11665-021-06493-7

Cited by 18 publications

(3 citation statements)

References 28 publications

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“…Rajurkar, Avadhoot et al analyzed the performance of two types of micro-textured tools for cutting chromium nickel iron alloy 718 in different cutting conditions. The results indicated that the microchannel-textured tools showed a notable improvement in tool life up to 60% over micro dimple-textured tools at lower cutting speeds; however, almost the same tool life was found with both tools at higher cutting speeds [13]. Sagar Dhage et al designed micro-textures in different directions on an insert and used these micro-textured inserts to cut AISI 1045 in dry cutting conditions.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization Design of Micro-Texture Parameters of Tool for Cutting GH4169 during Spray Cooling

Feng

Fan

et al. 2023

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This study explores the performance of micro-textured tools when cutting GH4169 during spray cooling. First, the morphologies of the micro-textures were selected according to the simulation and experiments. Secondly, cutting experiments were carried out during spray cooling. As appropriate for each experiment, regression models of cutting force, cutting temperature, or tool wear area were established, and variance analysis was conducted. The cutting force, cutting temperature, and tool wear area functions were obtained from the respective regression models. Based on these functions, the micro-texture parameters were optimized using the response surface method with the cutting force, cutting temperature, and rake face wear area as the objectives. Finally, a full factor experiment on the micro-texture parameters was designed using Minitab, and cutting experiments were conducted using micro-textured tools with these parameters. Taking a relatively low cutting force, cutting temperature, and tool wear as the objectives, a genetic algorithm multi-objective optimization model for the micro-texture parameters of the tools was established, and the model was solved using the NSGA-II algorithm to obtain a Pareto solution set and micro-texture parameters with a good, comprehensive cutting performance. The micro-texture morphology and parameters obtained in this study can also be used for cutting other high-temperature alloy materials with similar properties to GH4169. This research method can also be used to optimize micro-textured tools for cutting other materials.

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Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization Design of Micro-Texture Parameters of Tool for Cutting GH4169 during Spray Cooling

Feng

Fan

et al. 2023

Lubricants

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“…The present investigation employs Inconel 718 as the material of interest.. This particular excerpt was based on the recognized difficulties encountred in the machining the material, wich can be attributed to its high shear strength, tendency to work harden, and low thermal conduction [30,31]. Extensive investigation has been conducted to identify optimal machining conditions that ensure ease of machining, high SR quality, maximum productivity, and low energy consumption at a cost-effective level [32,33].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of inconel 718 turning parameters using PCA-MARCOS and MARCOS-Taguchi

et al. 2023

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In recent years, multiple-attribute decision-making (MADM) methods have gathered significant interest from researchers across various scientific fields. In the case of mechanical part machining when faced with conflicting objectives, these methods have become essential in the selection of necessary cutting parameters.. The integration of these techniques with multi-objective optimization procedures has proven effective in leading to an efficient solution to a multi-attribute decision-making problem. The present study falls within this context. Its primary objective being the determination of the optimal cutting parameters that reduces tool vibration, minimizes surface roughness along withmaximizing material removal rate during the turning of Inconel 718 using a coated carbide cutting tool grade (GC1105). These various objectives have been achieved through combining the principal component analysis (PCA) method to the measurement of alternatives and ranking according to the compromise solution (MARCOS), and MARCOS method coupled with the Taguchi SN ratio. The results obtained demonstrated that both methods generated the same combination of optimal cutting parameters that achieve the aforementioned objectives and represented by a nose radius r = 0.8 mm, a cutting speed Vc = 70 mm/min, a feed rate f = 0.08 mm/rev, and a depth of cut ap = 0.3 mm.

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“…Alsoruji et al (2022) introduced the Taguchi analysis combined with the GRA approach for producing an ideal cutting regime that fulfills high (MRR), lower taper angle, and lowest roughness.The material used in this study is Inconel 718. This selection was based on the material's known challenges in machining, attributed to its high shear strength, tendency to work harden, and low thermal conductivity (Rajurkar & Chinchanikar, 2022;De Bartolomeis et al, 2021). Extensive research has been conducted to identify optimal machining conditions that ensure ease of machining, high surface quality, low energy consumption, and maximum productivity at a cost-effective level (Roy et al, 2018;Dudzinsk et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of the Inconel 718 Turning Parameters Using MARCOS–Based Taguchi S/N ratio

BOUCHERIT,

YALLESE,

KOUAHLA

et al. 2023

EPSTEM

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Nickel-based alloys, such as Inconel 718, are widely used in space technology, rocket engines, nuclear reactors, petrochemicals, submarines, power plants, and other applications. It is classified as a challenging material to process due to its strong mechanical properties, low thermal conductivity, and other characteristics. The main objective of this work is to determine the optimal cutting parameters for turning Inconel 718 using a coated carbide tool, with the aim of reducing cutting tool vibration, minimizing surface roughness, and maximizing material removal rate. This is achieved by employing the Measurement of Alternatives and Ranking according to Compromise Solution technique (MARCOS) coupled with Taguchi's signal-to-noise ratio. The results have demonstrated that the configuration of the cutting parameters for achieving the aforementioned objectives is as follows: r = 0.8 mm, Vc = 70 mm/min, f = 0.08 mm/rev, and ap = 0.3 mm.

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Experimental Investigation on Laser-Processed Micro-Dimple and Micro-Channel Textured Tools during Turning of Inconel 718 Alloy

Cited by 18 publications

References 28 publications

Multi-Objective Optimization Design of Micro-Texture Parameters of Tool for Cutting GH4169 during Spray Cooling

Multi-Objective Optimization Design of Micro-Texture Parameters of Tool for Cutting GH4169 during Spray Cooling

Multi-objective optimization of inconel 718 turning parameters using PCA-MARCOS and MARCOS-Taguchi

Multi-Objective Optimization of the Inconel 718 Turning Parameters Using MARCOS–Based Taguchi S/N ratio

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