Modeling and Optimization of Cutting Parameters in Dry Turning of Inconel 718 Using Coated Carbide Inserts

Ramanujam, R.; Venkatesan, K.; Saxena, Vimal; Joseph, Philip Mark

doi:10.1016/j.mspro.2014.07.508

Cited by 23 publications

(12 citation statements)

References 14 publications

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“…The next largest contribution on Ra comes from the cutting speed Vc with the contributions of 23.85 %. Deph of cut ap have the lowest contribution value of contribution ratio (1.67 %), which confirms results of Ramanujam et al (2014). Indeed, they did not present a statistical significance on surface roughness parameter.…”

Section: Surface Roughnesssupporting

confidence: 83%

“…This can degraded surface workpiece state by increasing surface roughness criteria Ra, this can be confirmed by results reported by (Zahia et al, 2013a), in turning roughness model based on tool-nose displacements. The cutting speed effect has less importance (Ramanujam et al, 2014). Surface roughness was higher by increasing cutting speed (Thakur et al, 2009), producing a poor surface finish at higher cutting speed.…”

Section: Surface Roughnessmentioning

confidence: 99%

“…In order to model responses and input parameters optimization in dry turning of Inconel 718 using coated carbide inserts, Ramanujam et al (2014) found that the feed rate was the most significant parameter impacting surface roughness, followed by depth of cut and cutting speed. The examination of the effect of high-pressure coolant supply when machining Inconel 718 concluded that surface roughness obtained with coated carbide tool vary marginally with prolong machining, due probably to the gradual wear generated at the tool edge as well as temperature reduction at the cutting interface by the high coolant pressure employed (Ezugwu & Bonney, 2004).. Built-up edge deposition on the machined surface in dry conditions of Inconel 718 was due to the higher temperatures generated (Devillez et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718

Tebassi¹,

Yallese²,

Khettabi³

et al. 2016

10.5267/j.ijiec

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Nickel based super alloys are excellent for several applications and mainly in structural components submitted to high temperatures owing to their high strength to weight ratio, good corrosion resistance and metallurgical stability such as in cases of jet engine and gas turbine components. The current work presents the experimental investigations of the cutting parameters effects (cutting speed, depth of cut and feed rate) on the surface roughness, cutting force components, productivity and power consumption during dry conditions in straight turning using coated carbide tool. The mathematical models for output parameters have been developed using Box-Behnken design with 15 runs and Box-Cox transformation was used for improving normality. The results of the analysis have shown that the surface finish was statistically sensitive to the feed rate and cutting speed with the contribution of 43.58% and 23.85% respectively, while depth of cut had the greatest effect on the evolution of cutting force components with the contribution of 79.87% for feed force, 66.92% for radial force and 66.26% for tangential force. Multi-objective optimization procedure allowed minimizing roughness Ra, cutting forces and power consumption and maximizing material removal rate using desirability approach.

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Section: Surface Roughnesssupporting

confidence: 83%

Section: Surface Roughnessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718

Tebassi¹,

Yallese²,

Khettabi³

et al. 2016

10.5267/j.ijiec

View full text Add to dashboard Cite

show abstract

“…The workpiece geometry has been designed as a rectangular block with the depth of cut and in regard to the tool the rake angle and clearance geometries are done as per the experimentation done [10,11]. Due to the limitations in the software, the dimensions and the parameters have been scaled down to accommodate for analysis.…”

Section: Details Of the Geometrymentioning

confidence: 99%

Numerical Analysis Conducted During the Study on the Impact of Tool-Chip Contact Time on the Shear Angle in Orthogonal Machining

Velamakuri¹,

Myers²,

Wyatt³

2018

Int J Metall Met Phys

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Finite Element Modeling (FEM) is the most reliable computational tool used in the simulation of metal cutting processes. The main advantage of using FEM lies in the capability to predict various outputs and characteristics of a metal cutting process such as forces, stresses, temperatures etc. that are difficult to measure in real time thus saving the cost of experimentation [1]. In order to achieve accurate metal cutting simulation, material constants must be obtained at high strain rates (up to 10 6 = s), temperatures (up to 1000 °C) and strains (up to 4). The modeling of an accurate ow stress model is highly important for the FEM of a machining process. The most widely used ow stress formulations in metal cutting simulations are Oxley, John-

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“…desirability analysis (DA), GA and firefly algorithm (FA). Ramanujam et al [23] developed regression models for prediction of surface roughness and cutting force in the dry turning of Inconel 718 using PVD coated carbide tool. They conducted Taguchi L 9 experiments and obtain optimum parameters for minimizing the process characteristics.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Sustainable machining: an experimental investigation and optimization of machining Inconel 825 with dry and MQL approach

Tamang

Chandrasekaran

Sahoo

2018

J Braz. Soc. Mech. Sci. Eng.

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Sustainability is a vital issue for present and future generation, and it aims to obtain overall efficiency in terms of economic, environmental and social aspects. Inconel 825 belongs to the family of nickel-based super alloy and is widely used in the chemical and marine industries. This work attempts to investigate machining performance of Inconel 825 using physical vapor deposition-titanium nitrate inserts, with a focus on sustainable machining. The effect of cutting parameters, viz. cutting speed (v), feed (f) and depth of cut (d) on three aspects of sustainability has been explored in two different machining environments, viz. dry and minimum quantity lubrication (MQL). The experimental results show a significant improvement in MQL machining and tool wear, and cutting power is reduced by 16.57 and 8.47%, respectively, and surface roughness is improved by 10.41%. The interacting effects of parameters on responses are studied using 3-D surface plots; it shows cutting speed and feed are found as dominating parameters on all the three responses. The novelty of this work is to optimize the process for the sustainable production of components by optimizing the process parameters with multiple and conflicting objectives. The sustainable optimization using genetic algorithm provides surface roughness (R a) as 0.49 lm, tool flank wear (VB) as 110.68 lm and cutting power (P) as 5.44 kW with better convergent capability having 4% deviation. For the application of manufacturing industry, an optimization table is generated for selection of optimum process parameters for achieving desired surface roughness with minimum VB or minimum P.

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Modeling and Optimization of Cutting Parameters in Dry Turning of Inconel 718 Using Coated Carbide Inserts

Cited by 23 publications

References 14 publications

Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718

Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718

Numerical Analysis Conducted During the Study on the Impact of Tool-Chip Contact Time on the Shear Angle in Orthogonal Machining

Sustainable machining: an experimental investigation and optimization of machining Inconel 825 with dry and MQL approach

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