Finite element simulation of X20CrMoV121 steel billet forging process using the Deform 3D software

Obiko, Japheth; Mwema, Fredrick Madaraka; Bodunrin, Michael Oluwatosin

doi:10.1007/s42452-019-1087-y

Cited by 24 publications

(20 citation statements)

References 29 publications

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“…The temperature range considered during simulation is 800 °C to 1100 °C per strain rate. The temperature range was selected based on literature [16]. The recrystallization temperature of the specimen varies from 950 °C to 1250 °C.…”

Section: Finite Element Methodsmentioning

confidence: 99%

Simulation of 1.2765 DIN steel billet and crack analysis during the forging process using DEFORM 3D software

Kumar¹,

Parameshwaran²,

Rathanasamy³

2021

Materialwissenschaft Werkst

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The plastic deformation behavior of 1.2765 DIN steel during forging process and the feasibility of simulation in the forging of 1.2765 DIN steel at four different temperatures has investigated by using professional plastic distorting software DEFORM 3D v11.0. Additionally, the total load, effective stress, effective strain, and total velocity at four different points of the billet material has been simulated during the upsetting process. The main finding of this study are as follows: 1) during the forging process, the coefficient of friction between the die and the specimen has been influenced more on the flow stress of the material. 2) Effective strain at side edges of the specimen has reduced due to lower recrystallization temperature. 3) Velocity of the particle at side edges has been more due to the unrestricted movement of particles during the forging process. It has also concluded that the particles located at side edges, faces, and near to the top head of the specimen were exceeding stress value compared to allowable stress.

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Section: Finite Element Methodsmentioning

confidence: 99%

Simulation of 1.2765 DIN steel billet and crack analysis during the forging process using DEFORM 3D software

Kumar¹,

Parameshwaran²,

Rathanasamy³

2021

Materialwissenschaft Werkst

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“…Finite element analysis (FEA) has been used widely in many production processes, such as forging and machining [35][36][37][38]. The application of FEA in the production industry saves time and production cost, hence reducing the tedious design process [39,40].…”

Section: Finite Element Simulation On Deform 3dmentioning

confidence: 99%

Validation and optimization of cutting parameters for Ti-6Al-4V turning operation using DEFORM 3D simulations and Taguchi method

2021

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In this study, we show that optimising cutting forces as a machining response gave the most favourable conditions for turning of Ti-6Al-4V alloy. Using a combination of computational methods involving DEFORM simulations, Taguchi Design of Experiment (DOE) and analysis of variance (ANOVA), it was possible to minimise typical machining response such as the cutting force, cutting power and chip-tool interface temperature. The turning parameters that were varied in this study include cutting speed, depth of cut and feed rate. The optimum turning parameter combinations that would minimise the machining responses were established by using the “smaller the better” criterion and selecting the highest value of Signal to Noise Ratio. Confirmatory simulation revealed that using cutting speed of 120 m/min, 0.25 mm depth of cut and 0.1 mm/rev feed rate, the lowest cutting force of 88.21 N and chip-tool interface temperature of 387.24 °C can be obtained. Regression analysis indicated that the highest correlation coefficient of 0.97 was obtained between cutting forces and the turning parameters. The relationship between cutting forces and the turning parameters was linear since first-order regression model was sufficient.

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“…The governing equations for forging simulation have been extensively covered in the literature. To avoid duplication, the readers are directed to our previous articles [12,13] and other published articles [11,14]. The simulation model of the cylindrical workpiece and the dies (upper and lower) were designed by in-built primitive geometry in the simulation software tool.…”

Section: Simulation Modellingmentioning

confidence: 99%

“…This is because of the deformed material experiences shear deformation during deformation. For forging, the friction values range between 0.2-0.9 [12]. The friction coefficient was taken to be 0.3 and of shear-type.…”

Section: Simulation Modellingmentioning

confidence: 99%

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Obiko

Mwema

2020

IOPSciNotes

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This paper reports on the effect of sample geometry size on the metal flow behaviour using Deform TM 3D finite element simulation software. The simulation process was done at forging temperature of 1100°C and upper die speed of 50 mm/second. The friction coefficient between the die and the sample interface was taken to be constant during the simulation process. The results of the effective stress and strain distribution in the deformed sample were reported. The results show that the effective stress and strain distribution in the deformed sample was non-uniformly distributed. The maximum effective strain occurred at the centre of the deformed sample for all the samples tested. The maximum effective stress occurred at the die-sample contact surface. At the contact surfaces, the effective stress decreased with a decrease in the sample size. The effective stress at the centre of the deformed sample increased with a decrease in the sample geometry size.

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Finite element simulation of X20CrMoV121 steel billet forging process using the Deform 3D software

Cited by 24 publications

References 29 publications

Simulation of 1.2765 DIN steel billet and crack analysis during the forging process using DEFORM 3D software

Simulation of 1.2765 DIN steel billet and crack analysis during the forging process using DEFORM 3D software

Validation and optimization of cutting parameters for Ti-6Al-4V turning operation using DEFORM 3D simulations and Taguchi method

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

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