Warm deep drawing behavior of Inconel 625 alloy using constitutive modelling and anisotropic yield criteria

Kotkunde, Nitin; Badrish, Anand; Morchhale, Ayush; Takalkar, Prathamesh; Singh, Swadesh Kumar

doi:10.1007/s12289-019-01505-3

Cited by 25 publications

(6 citation statements)

References 30 publications

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“…As summarizing in table 1, thick copper films (thickness: ∼250 μm) were electrodeposited on a dumbbellshaped metallic titanium electrode using a sulfuric acid bath (bath composition: CuSO 4 •5H 2 O (1 M), H 3 BO 3 (0.4 M), PEG (Mw: 3,000) (0, 0.01, 0.03, 0.05 g L −1 ) and pH1) with a temperature of 80 °C. In the present work, the dumbbell-shaped samples for an uniaxial tensile test were prepared refering to ASTM E08/E8M-11 standard [24,25]. Here, the sample size was reduced from the ASTM standard to immerse it completely in a small amount (300 mL) of electrolytic solution [26].…”

Section: Methodsmentioning

confidence: 99%

Random crystal orientation and tensile strength of nanocrystalline dumbbell-shaped copper thick films electrodeposited from acidic aqueous solutions containing polyethylene glycol

Kawakami,

Saeki,

Ohgai

2023

Mater. Res. Express

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Nanocrystalline thick copper films with the thickness of ∼250 μm were electrochemically synthesized from an acidic aqueous solution containing polyethylene glycol (PEG) with the average molecular weight of 3,000 to investigate the preferential crystal orientation and mechanical properties such as microhardness and tensile strength. By addition of PEG to the electrolytic bath, the cathode potential was shifted to a less noble direction during the electrodeposition and the average crystallite size of electrodeposited copper thick films was decreased. The copper thick films electrodeposited from the solution without PEG exhibited a preferentially orientation in (220) texture while that obtained from the solution containing PEG was composed of nanocrystals with random crystal orientation that containing (111) and (200) textures. The micro-Vickers hardness, tensile strength, and elongation of the electrodeposited copper thick films reached up to 133 HV, 234 MPa, and 13.1%, respectively. These improvements in mechanical properties can be explained by the grain refinement effect and the random crystal orientation effect.

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Section: Methodsmentioning

confidence: 99%

Random crystal orientation and tensile strength of nanocrystalline dumbbell-shaped copper thick films electrodeposited from acidic aqueous solutions containing polyethylene glycol

Kawakami,

Saeki,

Ohgai

2023

Mater. Res. Express

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“…show the shape and dimensions of the dumbbell-shaped titanium electrode. In the present work, the original specimens for tensile test were prepared refering to ASTM E08/E8M-11 standard [36,37]. Here, the dimensions were adjusted in order to electrodeposit small specimens in the electrolytic bath (300 ml).…”

Section: Introductionmentioning

confidence: 99%

Microhardness and tensile strength of electrochemically synthesized nickel-cobalt binary alloy sheets exfoliated from a dumbbell-shaped titanium cathode

Saeki

Doi²,

Hayashida³

et al. 2023

Mater. Res. Express

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Nanocrystalline nickel–cobalt (Ni–Co) binary alloy sheets were fabricated through electroforming in an acidic aqueous bath using exfoliation from a metallic titanium cathode. Cobalt content in Ni–Co alloy sheets ranged from 28.8 at% to 72.0 at% depending on experimental parameters, such as cathodic overpotential and bath composition. The surface roughness (Ra) of the electroformed alloy sheets significantly decreased down to 1.5 μm as saccharin sodium dihydrate was added as an additive to the acidic aqueous solution bath. X-ray diffraction profiles and transmission electron microscopy images indicated that the electroformed Ni–Co alloy sheets have a nanocrystalline structure (grain size ≈ 30 nm). The lattice constant of the electroformed Ni–Co alloy sheets increased with an increase in cobalt content (i.e. solute atom concentration). The mechanical properties were significantly improved because of the synergistic effects of crystal grain refinement and solid solution strengthening. The microhardness and tensile strength of the electroformed Ni–Co alloy sheets reached 609 kgf/mm2 and 1757 MPa (XCo = 49.9 at%), respectively. The tensile strength of the electroformed Ni–Co alloy sheets in this study significantly exceeded that of solidified Ni–Co alloys (approximately 370 MPa). Therefore, this study offers a technique to enhance the mechanical properties of electroformed Ni–Co alloy sheets.

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“…The optimum level of parameters for minimum variation in wall thickness distribution was obtained using Taguchi Method. The hot deep drawing behavior and the thickness distribution of the Inconel 625 alloy have been investigated by Kotkunde et al 24 The experimental results were verified using Finite Element Analysis software. The results showed that the Flow pressure behavior, material properties, and anisotropic parameters are significantly affected by temperature, sheet orientations, and strain rates.…”

Section: Introductionmentioning

confidence: 99%

Predicting and improving the novel process parameters involved in deep drawing process of Inconel 718 sheet at room temperature using hybrid DNN-SSO approach

Ganesan

Sambasivam

Ramadass

2023

The Journal of Strain Analysis for Engineering Design

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The deep drawing technique is an important metal forming processes, and it is rarely used in the Inconel 718 sheet. The main purpose of this study is to perform a deep drawing process using the Inconel 718 alloy. In this research article, the Inconel 718 alloy sheet of 1 mm thickness is drawn into sheet metal cups, and defects such as thinning, and earing are controlled using selected input parameters such as Blank Holding Force (BHF) Blank Diameter (BD), and Punch Nose Radius (Rpn). A Box Behnken design (BBD) is used to evaluate the effects of output parameters. The hybrid Deep Neural Network (DNN) is used to predict the experimental outcomes obtained from the deep drawing process. For deep drawing process blank holding force is favorable for both thinning and earing. The minimum thinning value obtained during experimentation is 0.033 mm. During experimentation less earing value is 2.47 mm. Hybrid Deep Neural Network based Sparrow Search Optimization (DNN-SSO) gives the prediction model, where the values are much closer to the experimented model than RSM and non-Hybrid DNN. The minimum thinning obtained in the prediction model such as RSM, SSO-DNN, and DNN are 0.030, 0.0304, and 0.023 mm. Likewise, the minimum earing obtained from the predictive model is 2.65, 2.49, and 2.51 mm respectively. The minimum error is found in the hybrid DNN and the average RMSE for thinning is 0.002 and earing is 0.0024. The regression coefficient of thinning and earing is 99% which proves the experimental outcomes matches with RSM validation.

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Warm deep drawing behavior of Inconel 625 alloy using constitutive modelling and anisotropic yield criteria

Cited by 25 publications

References 30 publications

Random crystal orientation and tensile strength of nanocrystalline dumbbell-shaped copper thick films electrodeposited from acidic aqueous solutions containing polyethylene glycol

Random crystal orientation and tensile strength of nanocrystalline dumbbell-shaped copper thick films electrodeposited from acidic aqueous solutions containing polyethylene glycol

Microhardness and tensile strength of electrochemically synthesized nickel-cobalt binary alloy sheets exfoliated from a dumbbell-shaped titanium cathode

Predicting and improving the novel process parameters involved in deep drawing process of Inconel 718 sheet at room temperature using hybrid DNN-SSO approach

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