Investigation of the explosive type on the high strain forming of OFHC copper tube

Yildiz, Rasid Ahmed

doi:10.1177/03093247211021240

Cited by 5 publications

(3 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 5 compares the experimentally obtained porosity measurements with the FEM. The following formula was employed to calculate average porosity levels for the 95% confidence level [60]…”

Section: Verification Of the Resultsmentioning

confidence: 99%

“…Table 5 compares the experimentally obtained porosity measurements with the FEM. The following formula was employed to calculate average porosity levels for the 95% confidence level [ 60 ]

f = \bar{f} \mp z^{*} \frac{s}{\sqrt{m}}

In Equation (9), f is the range of measured porosity for the 95% confidence interval,

\bar{f}

is the average value of porosity,

z^{*}

is the confidence level (1.96 for 95%), s is the calculated standard deviation of the porosity measurements, and m is the number of samples.…”

Section: Verification Of the Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Numerical Analysis of the Damage Evolution of DP600 Steel Using Gurson–Tvergaard–Needleman Model

Yildiz

2022

steel research int.

Self Cite

View full text Add to dashboard Cite

Ductile fracture is commonly considered as a mechanical response of nucleation, growth, and finally, coalescence of voids in metallic alloys induced by plastic deformation. Several micromechanical ductile fracture models and criteria have been developed within the past 50 years. In 1968, McClintock [1] established ductile fracture criteria for the growth of long cylindrical void under applied stress. Next year, Rice and Tracey [2] analytically modeled the growth of spherical voids in a tension strain field. In both cases, high-stress triaxiality increases the void growth rate exponentially. Later, Gurson [3] developed constitutive equations for porous materials using the upper bound theorem of plasticity. Gurson's yield criteria was based on the assumption of idealization of a single void in a rigid plastic cell (to represent matrix) in which the void volume fraction was defined as "f ". Similarly, Rousselier [4] proposed a macroscopic approach to predict ductile damage using the continuum thermodynamics. Also, Lemaitre [5] put forth a model for ductile fracture in the framework of thermodynamics: effective elasticity modulus, which decreases with an increase in the damage.Chu and Needleman [6] published a void nucleation model employing Gurson's yield criteria. Next, Tvergaard [7,8] conducted a bifurcation analysis on the shear band instabilities and void coalescence in localized shear bands in a continuum model with a void-matrix aggregate proposed by Gurson. Later, Tvergaard and Needleman [9] carried out a finite element analysis for the coalescence of voids and introduced a modification to the yield condition. After the modifications to Gurson's constitutive equations, the model is called as "GTN model" and enabled to predict ductile damage in metals. Researchers have carried out numerous studies to model ductile fracture for different applications, including tensile testing, [10][11][12][13][14][15] formability limit diagrams, [16][17][18][19][20] small punch tests, [21][22][23] electromagnetic impaction, [24] Charpy V-notch test, [25,26] bending, [27][28][29] tube hydroforming, [30,31] roll forming. [32] The constitutive equations of the GTN damage model require nine different parameters. In the literature, scholars determined these parameters with different methods for various materials. Ali and Huang [33] utilized a statistical approach, response surface methodology (RSM), to estimate damage for AZ61 Mg alloy. They coupled a finite element model (FEM), which is developed in ANSYS and evaluated the response of each variable on the regression model coefficients. Their approximation algorithm compared the results of each increment with the experimentally obtained tensile test results that initially start with the literature values for different materials, including steel, titanium, and aluminum alloys. Similarly, Abbasi and colleagues [34] determined GTN model parameters by RSM for the tailor-welded monolithic interstitial free (IF)-steel blanks. They compared the results of FEM, which was constructed on the...

show abstract

“…Table 5 compares the experimentally obtained porosity measurements with the FEM. The following formula was employed to calculate average porosity levels for the 95% confidence level [60]…”

Section: Verification Of the Resultsmentioning

confidence: 99%

“…Table 5 compares the experimentally obtained porosity measurements with the FEM. The following formula was employed to calculate average porosity levels for the 95% confidence level [ 60 ]

f = \bar{f} \mp z^{*} \frac{s}{\sqrt{m}}

In Equation (9), f is the range of measured porosity for the 95% confidence interval,

\bar{f}

is the average value of porosity,

z^{*}

is the confidence level (1.96 for 95%), s is the calculated standard deviation of the porosity measurements, and m is the number of samples.…”

Section: Verification Of the Resultsmentioning

confidence: 99%

Numerical Analysis of the Damage Evolution of DP600 Steel Using Gurson–Tvergaard–Needleman Model

Yildiz

2022

steel research int.

Self Cite

View full text Add to dashboard Cite

show abstract

“…To forecast the protection of steel supported concrete structures to predict dynamic and sudden loads, several methodologies, including experimental, analytical, and computational, have been established. The numerical approach combined with some experimental verification is the most encouraging of these since it offers extensive and thorough information that can be utilized to verify and enhance engineering solutions [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Influence of Stand-off Distance on the Blast-Resistance of Steel Plate Supported Concrete Walls

Yildiz

2023

ICAENS

View full text Add to dashboard Cite

The influence of stand-off distance for the protective performance and capability of the steelplate supported concrete barriers is modelled, within the current work. Steel and concrete have been used for centuries to build protective structures. Due to the military's concern with mitigating the effects of explosions and bullets, they have both collectively seen major improvements as a material for protective constructions. The significance of stand-off distance on the durability of steel plate supported concrete wall is investigated through simulations. Johnson-Cook hardening and damage molds have been used to define the mechanical behavior of steel, while concrete damage plasticity has been used to define the behavior of concrete. The growth of detonation products is modeled using the JWL equation of state, in which Comp B is selected as explosive. Coupled-Eulerian-Lagrangian methodology is employed in the constructed finite element model. The outcomes demonstrated that the stand-off distance has a substantial impact on a structure's durability. The explosives' ability to cause damage is less effective as stand-off distance increases. For the case that the stand-off distance is 50 mm, the explosion completely destroyed both the 10 mm thick steel plate and the concrete. However, according to the simulation's findings at the stand-off distance of 300 mm, the structure has sustained relatively minor damage. Also, the steel plate functioned as a protective barrier in most cases, as designed.

show abstract

A numerical investigation on the effect of transfer medium in explosive forming

Yildiz

2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Investigation of the explosive type on the high strain forming of OFHC copper tube

Cited by 5 publications

References 48 publications

Numerical Analysis of the Damage Evolution of DP600 Steel Using Gurson–Tvergaard–Needleman Model

Numerical Analysis of the Damage Evolution of DP600 Steel Using Gurson–Tvergaard–Needleman Model

Influence of Stand-off Distance on the Blast-Resistance of Steel Plate Supported Concrete Walls

A numerical investigation on the effect of transfer medium in explosive forming

Contact Info

Product

Resources

About