JURENDIĆ, Sebastijan ;GAIANI, Sivlia . Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 59, n.3, p. 148-155, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/numerical-simulation-of-cold-forming-of-%ce%b1-titanium-alloy-sheets/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2012.415.
Jurendić, S., & Gaiani, S. (2013). Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets. Strojniški vestnik - Journal of Mechanical Engineering, 59(3), 148-155. doi:http://dx.doi.org/10.5545/sv-jme.2012.415
@article{sv-jmesv-jme.2012.415,
author = {Sebastijan Jurendić and Sivlia Gaiani},
title = {Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {59},
number = {3},
year = {2013},
keywords = {α-titanium; HCP metals; Numerical simulation; Cold forming; Anisotropy; Deep drawing},
abstract = {Despite the generally good cold workability of some α-titanium alloys, their relevant mechanical properties are quite different to those of traditional cold forming materials. The hexagonal close packed (HCP) crystal structure of α-titanium alloys results in a highly textured, highly anisotropic material that exhibits some specifics in its plastic response. A numerical simulation method using the Barlat [1989] material model has been developed to aid in forming tool development and process parameter determination. In order to account for the anisotropic hardening of the material, plastic strain ratios are input into the model as functions of plastic strain and an inversely determined, experimental strain hardening curve is used. The procedure for determining the input data from the tensile test is outlined and demonstrated on the α-titanium alloy 1.2ASN from Kobe Steel. The flow potential exponent m is evaluated via a parametric analysis of the Erichsen test and an appropriate value is determined. The forming limit diagram is adopted as a means for failure prediction and determined using the Nakajima method. Finally, the method is evaluated on an example of a deep drawn part with good correlation to the physical process.},
issn = {0039-2480}, pages = {148-155}, doi = {10.5545/sv-jme.2012.415},
url = {https://www.sv-jme.eu/sl/article/numerical-simulation-of-cold-forming-of-%ce%b1-titanium-alloy-sheets/}
}
Jurendić, S.,Gaiani, S. 2013 June 59. Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 59:3
%A Jurendić, Sebastijan %A Gaiani, Sivlia %D 2013 %T Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets %B 2013 %9 α-titanium; HCP metals; Numerical simulation; Cold forming; Anisotropy; Deep drawing %! Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets %K α-titanium; HCP metals; Numerical simulation; Cold forming; Anisotropy; Deep drawing %X Despite the generally good cold workability of some α-titanium alloys, their relevant mechanical properties are quite different to those of traditional cold forming materials. The hexagonal close packed (HCP) crystal structure of α-titanium alloys results in a highly textured, highly anisotropic material that exhibits some specifics in its plastic response. A numerical simulation method using the Barlat [1989] material model has been developed to aid in forming tool development and process parameter determination. In order to account for the anisotropic hardening of the material, plastic strain ratios are input into the model as functions of plastic strain and an inversely determined, experimental strain hardening curve is used. The procedure for determining the input data from the tensile test is outlined and demonstrated on the α-titanium alloy 1.2ASN from Kobe Steel. The flow potential exponent m is evaluated via a parametric analysis of the Erichsen test and an appropriate value is determined. The forming limit diagram is adopted as a means for failure prediction and determined using the Nakajima method. Finally, the method is evaluated on an example of a deep drawn part with good correlation to the physical process. %U https://www.sv-jme.eu/sl/article/numerical-simulation-of-cold-forming-of-%ce%b1-titanium-alloy-sheets/ %0 Journal Article %R 10.5545/sv-jme.2012.415 %& 148 %P 8 %J Strojniški vestnik - Journal of Mechanical Engineering %V 59 %N 3 %@ 0039-2480 %8 2018-06-28 %7 2018-06-28
Jurendić, Sebastijan, & Sivlia Gaiani. "Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets." Strojniški vestnik - Journal of Mechanical Engineering [Online], 59.3 (2013): 148-155. Web. 20 Dec. 2024
TY - JOUR AU - Jurendić, Sebastijan AU - Gaiani, Sivlia PY - 2013 TI - Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2012.415 KW - α-titanium; HCP metals; Numerical simulation; Cold forming; Anisotropy; Deep drawing N2 - Despite the generally good cold workability of some α-titanium alloys, their relevant mechanical properties are quite different to those of traditional cold forming materials. The hexagonal close packed (HCP) crystal structure of α-titanium alloys results in a highly textured, highly anisotropic material that exhibits some specifics in its plastic response. A numerical simulation method using the Barlat [1989] material model has been developed to aid in forming tool development and process parameter determination. In order to account for the anisotropic hardening of the material, plastic strain ratios are input into the model as functions of plastic strain and an inversely determined, experimental strain hardening curve is used. The procedure for determining the input data from the tensile test is outlined and demonstrated on the α-titanium alloy 1.2ASN from Kobe Steel. The flow potential exponent m is evaluated via a parametric analysis of the Erichsen test and an appropriate value is determined. The forming limit diagram is adopted as a means for failure prediction and determined using the Nakajima method. Finally, the method is evaluated on an example of a deep drawn part with good correlation to the physical process. UR - https://www.sv-jme.eu/sl/article/numerical-simulation-of-cold-forming-of-%ce%b1-titanium-alloy-sheets/
@article{{sv-jme}{sv-jme.2012.415},
author = {Jurendić, S., Gaiani, S.},
title = {Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {59},
number = {3},
year = {2013},
doi = {10.5545/sv-jme.2012.415},
url = {https://www.sv-jme.eu/sl/article/numerical-simulation-of-cold-forming-of-%ce%b1-titanium-alloy-sheets/}
}
TY - JOUR AU - Jurendić, Sebastijan AU - Gaiani, Sivlia PY - 2018/06/28 TI - Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 59, No 3 (2013): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2012.415 KW - α-titanium, HCP metals, Numerical simulation, Cold forming, Anisotropy, Deep drawing N2 - Despite the generally good cold workability of some α-titanium alloys, their relevant mechanical properties are quite different to those of traditional cold forming materials. The hexagonal close packed (HCP) crystal structure of α-titanium alloys results in a highly textured, highly anisotropic material that exhibits some specifics in its plastic response. A numerical simulation method using the Barlat [1989] material model has been developed to aid in forming tool development and process parameter determination. In order to account for the anisotropic hardening of the material, plastic strain ratios are input into the model as functions of plastic strain and an inversely determined, experimental strain hardening curve is used. The procedure for determining the input data from the tensile test is outlined and demonstrated on the α-titanium alloy 1.2ASN from Kobe Steel. The flow potential exponent m is evaluated via a parametric analysis of the Erichsen test and an appropriate value is determined. The forming limit diagram is adopted as a means for failure prediction and determined using the Nakajima method. Finally, the method is evaluated on an example of a deep drawn part with good correlation to the physical process. UR - https://www.sv-jme.eu/sl/article/numerical-simulation-of-cold-forming-of-%ce%b1-titanium-alloy-sheets/
Jurendić, Sebastijan, AND Gaiani, Sivlia. "Numerical Simulation of Cold Forming of α-Titanium Alloy Sheets" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 59 Number 3 (28 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 59(2013)3, 148-155
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
Despite the generally good cold workability of some α-titanium alloys, their relevant mechanical properties are quite different to those of traditional cold forming materials. The hexagonal close packed (HCP) crystal structure of α-titanium alloys results in a highly textured, highly anisotropic material that exhibits some specifics in its plastic response. A numerical simulation method using the Barlat [1989] material model has been developed to aid in forming tool development and process parameter determination. In order to account for the anisotropic hardening of the material, plastic strain ratios are input into the model as functions of plastic strain and an inversely determined, experimental strain hardening curve is used. The procedure for determining the input data from the tensile test is outlined and demonstrated on the α-titanium alloy 1.2ASN from Kobe Steel. The flow potential exponent m is evaluated via a parametric analysis of the Erichsen test and an appropriate value is determined. The forming limit diagram is adopted as a means for failure prediction and determined using the Nakajima method. Finally, the method is evaluated on an example of a deep drawn part with good correlation to the physical process.