Life cycle assessment of drilling Inconel 718 using cryogenic cutting fluids while considering sustainability parameters

Shah, Priyanka; Bhat, Prathamesh; Khanna, Navneet

doi:10.1016/j.seta.2020.100950

Cited by 27 publications

(15 citation statements)

References 53 publications

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“…The environmental ambient temperature was set to 20 °C besides the location of jet radius that was kept at − 190 °C. As per the available literature [31], the study utilized jet radius of 1 mm, heat transfer coefficient of 5000 kW/m 2 K, and jet location (3,5) mm for all cryogenic cutting simulations. Tool and workpiece have tendency to exchange heat with environment in the specified window, and heat conduction was allowed at the tool chip interface as shown in Fig.…”

Section: D Numerical Methodology For Dry and Cryogenic Cuttingmentioning

confidence: 99%

“…Shah et al [5] conducted drilling study on Inconel 718 under the cryogenic cooling, and life cycle assessment (LCA) was performed to draw meaningful results towards sustainability. LCA revealed 19% power consumption in CO2 cooling as compared to the LN2 cooling.…”

Section: Introductionmentioning

confidence: 99%

“…Fig 5. Flow stress behavior of Inconel 718. a Testing at various temperatures at strain rate of 1 s −1 .…”

mentioning

confidence: 99%

See 2 more Smart Citations

Machinability analysis of dry and liquid nitrogen–based cryogenic cutting of Inconel 718: experimental and FE analysis

Pervaiz

Kannan

Anwar

et al. 2021

Int J Adv Manuf Technol

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Inconel 718 is famous for its applications in the aerospace industry due to its inherent properties of corrosion resistance, wear resistance, high creep strength, and high hot hardness. Despite the favorable properties, it has poor machinability due to low thermal conductivity and high hot hardness. To limit the influence of high cutting temperature in the cutting zone, application of cutting flood is recommended during the cutting operation. Cryogenic cooling is the recommended method when machining Inconel 718. However, there is very limited literature available when it comes to the numerical finite element modeling of the process. This current study is focused on the machinability analysis of Inconel 718 using numerical approach with experimental validations. Dry and cryogenic cooling methods were compared in terms of associated parameters such as chip compression ratio, shear angle, contact length, cutting forces, and energy consumption for the primary and secondary deformation zones. In addition, parameters related to chip morphology were also investigated under both lubrication methods. Chip formation in cryogenic machining was well captured by the finite element assisted model and found in good agreement with the experimental chip morphology. Both experimental and numerical observations revealed comparatively less chip compression ratio in the cryogenic cooling with larger value of shear plane angle. This results in the smaller tool–chip contact length and better comparative lubrication.

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Section: D Numerical Methodology For Dry and Cryogenic Cuttingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machinability analysis of dry and liquid nitrogen–based cryogenic cutting of Inconel 718: experimental and FE analysis

Pervaiz

Kannan

Anwar

et al. 2021

Int J Adv Manuf Technol

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show abstract

“…They found that at 455 rpm and 0.106 mm/rev, the surface roughness was the lowest. Shah et al [16] study the hole cutting in Inconel 718 under cryogenic cooling conditions with LN 2 and LCO 2 at a constant feed of 0.045 mm/rev and a cutting speed of 10, 15 or 20 m/min. They show that the parameter R a decreases by 11% under LCO 2 cooling conditions when compared with LN 2 cooling.…”

Section: Introductionmentioning

confidence: 99%

A Study of the Kinematics System in Drilling Inconel 718 for Improving of Hole Quality in the Aviation and Space Industries

et al. 2022

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This article discusses experimental results concerning the quality of through holes drilled in Inconel 718. The tests involved hole cutting under 27 different conditions using different values of the feed per revolution and spindle speed, and different types of kinematic system. The drilling was performed on a CTX Alpha 500 universal turning center using tools with internal coolant supply. Three kinematic systems were considered for hole cutting. The first, based on the driven tool holder, had a stationary workpiece and a rotating and linearly fed tool. In the second, where drilling was based on the spindle rotations, the workpiece rotated while the tool moved along a straight line. In the third system, the workpiece and the tool rotated in opposite directions; the tool also performed a linear motion. The study aimed to assess the quality of holes on the basis of the following output parameters: the hole diameter, cylindricity and straightness errors, and the surface texture. A multifactorial statistical analysis was used to determine how the hole quality was dependent on the process parameters and the type of drilling kinematics. The findings confirm that the kinematic system, as well as the feed per revolution, are the key factors affecting the quality of holes drilled in Inconel 718. The analysis of the hole drilling process for Inconel 718, performed using a CNC turning center, shows that the third kinematic system was the best option as all the four parameters describing the hole quality had the lowest values. The best results were obtained in the 6th (n = 637 rpm, fn = 0.075 mm/rev, KIN III) and 8th experiments (n = 955 rpm, fn = 0.075 mm/rev, KIN II), because the parameters were then the lowest, with the scatter of results being up to 30%.

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“…ey recognized LN 2 as the best cooling strategy when contrasted with dry, flood, and LCO2 strategies. Shah et al [4] earmark LCA for Inconel 718 boring under LN 2 and LCO2 conditions. ey utilized ReCiPe 2016 midpoint (H) strategy to examine the effects on the assets, laborers' wellbeing, environment, etc.…”

Section: Introductionmentioning

confidence: 99%

Influence of Support Vector Regression (SVR) on Cryogenic Face Milling

Karthik

Malghan²,

Kara

et al. 2021

Advances in Materials Science and Engineering

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The paper aims to investigate the processing execution of SS316 in manageable machining cooling ways such as dry, wet, and cryogenic (LN2-liquid nitrogen). Furthermore, “one parametric approach” was utilized to study the influence and carry out the comparative analysis of LN2over dry and LN2over wet machining conditions. Response surface methodology (RSM) is incorporated to build a relationship model among the considered independent variables (spindle speed: (S, rpm), feed rate (F, mm/min), and depth of cut (doc) (D, mm)) and the dependent variable (surface roughness (Ra)). Since there is the involvement of more than one independent variable, the generation of regression equation is “multiple linear regression.” Based on the attained coefficient value of the independent variable, the respective impact on surface roughness is identified. The results of comparative analysis of LN2over dry and LN2over wet machining states revealed that LN2 machining yielded better surface finish with up to 64.9%, 54.9% over dry and wet machining, respectively, indicating the benefits of LN2 for achieving better Ra. The benchmark function of the proposed mode hybrid-bias (BNN-SVR) algorithm showcases the propensity to emerge out of the local minimum and coincide with the optimal target value. The performance of the (BNN-SVR) is a prevalent new ability to fetch the partially trained weights from the BNN model into the SVR model, thus leading to the conversion of static learning capability to dynamic capability. The performances of the adopted prediction approaches are compared through a range of attained error deviation, i.e., (RA: 3.95%–8.43%), (BNN: 2.36%–5.88%), (SVR: 1.04%–3.61%), respectively. Hybrid-bias (BNN-SVR) is the best suitable prediction model as it provides significant evidence by attaining less error in predicting Ra. However, SVR surpasses BNN and RSM approaches because of the convergence factor and narrow margin error.

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Life cycle assessment of drilling Inconel 718 using cryogenic cutting fluids while considering sustainability parameters

Cited by 27 publications

References 53 publications

Machinability analysis of dry and liquid nitrogen–based cryogenic cutting of Inconel 718: experimental and FE analysis

Machinability analysis of dry and liquid nitrogen–based cryogenic cutting of Inconel 718: experimental and FE analysis

A Study of the Kinematics System in Drilling Inconel 718 for Improving of Hole Quality in the Aviation and Space Industries

Influence of Support Vector Regression (SVR) on Cryogenic Face Milling

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