A fast methodology for the accurate characterization and simulation of laser heat treated blanks

Lattanzi, Attilio; Piccininni, Antonio; Guglielmi, Pasquale; Rossi, Marco; Palumbo, G.

doi:10.1016/j.ijmecsci.2020.106134

Cited by 19 publications

(20 citation statements)

References 47 publications

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“…Annealing investigation. In the present section, the methodology to numerically predict the level of annealing is briefly described according to [17]. Local annealing treatments were physically simulated with the Gleeble system (model 3180) on dog-bone specimens (AA5754-H32).…”

Section: Materials and Methodologymentioning

confidence: 99%

“…It was also demonstrated that the variable Ann could be analytically described by a logistic function describing its dependency with the peak temperature (Tpeak), as expressed by Equation 2 [17].…”

Section: Materials and Methodologymentioning

confidence: 99%

“…The present work can be regarded as a follow-up of the methodology already developed by the authors [17] and aimed to collect data regarding the mechanical behavior of a strain-hardenable Al alloy (AA5754), initially in the wrought conditions and locally annealed by means of a laser heating. The methodology has been then applied to evaluate the evolution of the anisotropy of the material as a function of the level of annealing reached at the end of the local heating [18].…”

Section: Introductionmentioning

confidence: 99%

“…Other implicit or semi-implicit algorithms can be also used for the stress reconstruction, as, for instance, the one reported in [20] for large strain plasticity problems. this work, we also assumed an isotropic Von Mises plasticity behaviour, while the hardening behaviour of the AA5754 was described by using a modified version of the Voce's law according to a previous experimental investigation [17].…”

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confidence: 99%

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Investigation of the Plane Strain Behaviour of a Laser-Heat Treated Aluminium Alloy

Piccininni

Lattanzi

Rossi

et al. 2022

KEM

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The necessity of complex-shaped components characterized by superior mechanical properties and limited weight is moving the attention to the Aluminium (Al) alloys. Deep Drawing Steel grades possess superior stamping characteristics and formability with respect to Al alloys. But the need of light-weighting pushes towards the adoption of materials with optimal strenght-to-weight ratio, like Al alloys. Todays Al alloys are certainly used in the transport sector but their formability (at room temperature) is poorer than Deep Drawing Steel grades, which still hinders their massive implementation in the forming processes and drives the research toward innovative manufacturing solutions. One of the most promising approach to overcome such a limitation and, thus, manufacture complex component using cold forming processes, is the adoption of local heat treatments to obtain a suitable distribution of material properties able to enhance the formability at room temperature.The design of cold forming using locally modified blanks needs: (i) an extensive investigation of the material behaviour at room temperature after the local heating and (ii) the adoption of a Finite Element approach. As for the former aspect, the authors proposed a fast and comprehensive methodology to investigate the hardening behaviour of an Al alloy (AA5754-H32) locally annealed by laser heat treatment. Using a similar approach, the hardening model was then enriched by considering the normal anisotropy, evaluating the correlation between the Lankford parameter and the material condition reached at the end of the local treatment. To improve the knowledge on the plastic response of the material, the present work focusses on the characterization of the plane strain behavior of the AA5754, initially in wrought condition (H32) and subsequently modified by laser heating. In particular, the study proposes a new quasi-homogeneous specimen which combines the local heating profile with an optimized geometry to produce a prevailing plane strain condition in the heat-treated zone. In such a way, data about the material response in the plane strain condition could be obtained for a large range of material conditions determined by the preliminary heat treatment.

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Section: Materials and Methodologymentioning

confidence: 99%

Section: Materials and Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Investigation of the Plane Strain Behaviour of a Laser-Heat Treated Aluminium Alloy

Piccininni

Lattanzi

Rossi

et al. 2022

KEM

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“…Yet more and more authors take into account the prevailing temperature gradient in their identification process. [17,18] This is also the approach considered in the present work. Another remark at this stage is that the strain concentration observed in such tests is not critical, as the objective is to identify the behaviour for limited strains, typically up to 0.06, which covers the strain range observed for alloys in the solid state, during L-PBF.…”

mentioning

confidence: 99%

A new localized inverse identification method for high temperature testing under resistive heating: Application to the elastic‐viscoplastic behaviour of L‐PBF processed In718

Gao

Macquaire

Zhang

et al. 2022

Strain

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The mechanical behaviour of the nickel-based superalloy In718, as processed from laser powder bed fusion (L-PBF) additive manufacturing, is characterized at high temperature, from 800 to 1100 C. Samples built by L-PBF are submitted to sequences combining uniaxial tensile load at different prescribed velocities, and relaxation steps of different durations, operated under resistive heating under vacuum, with a home-developed testing machine. Tests are equipped with force evolution measurement, with infra-red field imaging and thermocouples to capture the non-uniform temperature distributions induced by resistive heating, and with digital image correlation to capture the nonlinear displacement fields. An inverse finite element strategy is developed to identify the parameters of a temperature-dependent elastic-viscoplastic behaviour model. The strategy is based on (i) direct finite element simulations of tests, (ii) a cost function expressing the distance between calculated and measured quantities, and (iii) a minimization algorithm. Direct numerical simulations are performed on a limited part of the working zone of samples, the zone of interest, with applied boundary conditions provided by DIC records and with an imposed temperature distribution provided by infra-red imaging. The cost function is based on the force evolution only, for a series of different tests operated at different nominal temperatures. Optimum values of constitutive parameters are obtained by minimizing the cost function value, which is achieved with the home-developed optimization platform MOOPI. Finally, the identified parameters are discussed with respect to the literature.additive manufacturing, high temperature DIC, high temperature mechanical behaviour, In718, inverse identification, laser beam melting | INTRODUCTIONNowadays, numerical thermal-mechanical simulation of additive manufacturing by laser powder bed fusion (L-PBF, also known as selective laser melting, SLM, or laser beam melting, LBM) is in constant development to predict defects, such as cracks, residual stress, and distortion. [1][2][3][4][5][6][7][8][9] Simulation is conducted at different scales, essentially the part scale

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Thermo-mechanical Characterization of High-Strength Steel Through Inverse Methods

Rossi,

Morichelli,

Cooreman

2024

Conference Proceedings of the Society for Experimental Mechanics Series

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A fast methodology for the accurate characterization and simulation of laser heat treated blanks

Cited by 19 publications

References 47 publications

Investigation of the Plane Strain Behaviour of a Laser-Heat Treated Aluminium Alloy

Investigation of the Plane Strain Behaviour of a Laser-Heat Treated Aluminium Alloy

A new localized inverse identification method for high temperature testing under resistive heating: Application to the elastic‐viscoplastic behaviour of L‐PBF processed In718

Thermo-mechanical Characterization of High-Strength Steel Through Inverse Methods

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