On the introduction of adaptive mass scaling in a finite element model of Ti6Al4V orthogonal cutting

Ducobu, François; Rivière-Lorphèvre, Édouard; Filippi, Enrico

doi:10.1016/j.simpat.2015.02.003

Cited by 53 publications

(22 citation statements)

References 33 publications

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“…In this technique, the mass of an element of the mesh increases artificially in term of material density to increase the time increment value [20]. The advantage of this technique is that it does not affect the rate dependence of the material [21]. However, for dynamic study, it is essential to check the effect of ''nonphysical'' mass on results.…”

Section: Simulation Of Spifmentioning

confidence: 99%

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Delamination analysis in single-point incremental forming of steel/steel bi-layer sheet metal

Hassan

Hussain

Ilyas

et al. 2020

Archiv.Civ.Mech.Eng

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Layered metallic materials (LMMs) offer superior properties in comparison to their counterpart monolithic sheets. Singlepoint incremental forming (SPIF) has emerged as an economical solution to produce LMM parts. However, delamination can limit the formability of such parts. In this study, the delamination analysis during SPIF of layered sheets was performed. Steel/steel bi-layer sheets were fabricated by roll bonding. These sheets were produced at thickness reduction ratios of 47%, 58% and 70%. The bond strength and fracture toughness in mode I and mode II were determined by T-peel and tensile shear tests, respectively. When the thickness reduction ratio was increased from 47 to 70%, an increase in bond strength was observed with 572% increase in mode I and 15.6% in mode II, respectively. On the other hand, with the same percent increase in thickness reduction, the critical strain energy release showed an increase of 3992% in mode I and 20% decrease in mode II. Surface-based cohesive zone model was used to define the interface between layers during numerical simulation of SPIF for delamination analysis. To validate the numerical results, SPIF of given bi-layer sheet was performed experimentally and a good agreement between the numerical and experimental results was observed.

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Section: Simulation Of Spifmentioning

confidence: 99%

“…ig. 21 Relationship between percent tensile area reduction and formability for varying thickness reduction ratios…”

Section: The Bond Strength In Mode I and Mode Ii Increasesmentioning

confidence: 99%

Delamination analysis in single-point incremental forming of steel/steel bi-layer sheet metal

Hassan

Hussain

Ilyas

et al. 2020

Archiv.Civ.Mech.Eng

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“…The maximum tool element size for tool edge radius of 25µm, 50µm, and 75µm are 0.01mm, 0.02mm and 0.03mm are based on Ducobu et al [14]. The minimum tool element size is determined from mesh convergence study tested at v=175m/min, f=0.10mm/rev and d=0.50mm.…”

Section: Simulation Set-upmentioning

confidence: 99%

Finite element analysis and modeling of temperature distribution in turning of titanium alloys

2018

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The titanium alloys (Ti-6Al-4V) have been widely used in aerospace, and medical applications and the demand is ever-growing due to its outstanding properties. In this paper, the finite element modeling on machinability of Ti-6Al-4V using cubic boron nitride and polycrystalline diamond tool in dry turning environment was investigated. This research was carried out to generate mathematical models at 95% confidence level for cutting force and temperature distribution regarding cutting speed, feed rate and depth of cut. The Box-Behnken design of experiment was used as Response Surface Model to generate combinations of cutting variables for modeling. Then, finite element simulation was performed using AdvantEdge®. The influence of each cutting parameters on the cutting responses was investigated using Analysis of Variance. The analysis shows that depth of cut is the most influential parameter on resultant cutting force whereas feed rate is the most influential parameter on cutting temperature. Also, the effect of the cutting-edge radius was investigated for both tools. This research would help to maximize the tool life and to improve surface finish.

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“…Indeed, in many cases, time steps much larger than the critical one are required for a certain accuracy but cannot be used due to stability requirements (see, among others, [1,[3][4][5]). Mass scaling [6], for instance, was developed to increase the time-step size by adjusting the mass of the most critical elements; significant errors, though, can originate if those elements where the mass scaling is applied have a significant contribution to the global system response and, consequently, more elaborated techniques need to be applied [7,8]. Dynamic condensation has also been used in the literature for this purpose (see e.g., Ref.…”

Section: Introductionmentioning

confidence: 99%

Proper Orthogonal Decomposition Framework for the Explicit Solution of Discrete Systems With Softening Response

Ceccato

Zhou

Pelessone

et al. 2018

Journal of Applied Mechanics

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The application of explicit dynamics to simulate quasi-static events often becomes impractical in terms of computational cost. Different solutions have been investigated in the literature to decrease the simulation time and a family of interesting, increasingly adopted approaches are the ones based on the proper orthogonal decomposition (POD) as a model reduction technique. In this study, the algorithmic framework for the integration of the equation of motions through POD is proposed for discrete linear and nonlinear systems: a low dimensional approximation of the full order system is generated by the so-called proper orthogonal modes (POMs), computed with snapshots from the full order simulation. Aiming to a predictive tool, the POMs are updated in itinere alternating the integration in the complete system, for the snapshots collection, with the integration in the reduced system. The paper discusses details of the transition between the two systems and issues related to the application of essential and natural boundary conditions (BCs). Results show that, for one-dimensional (1D) cases, just few modes are capable of excellent approximation of the solution, even in the case of stress–strain softening behavior, allowing to conveniently increase the critical time-step of the simulation without significant loss in accuracy. For more general three-dimensional (3D) situations, the paper discusses the application of the developed algorithm to a discrete model called lattice discrete particle model (LDPM) formulated to simulate quasi-brittle materials characterized by a softening response. Efficiency and accuracy of the reduced order LDPM response are discussed with reference to both tensile and compressive loading conditions.

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On the introduction of adaptive mass scaling in a finite element model of Ti6Al4V orthogonal cutting

Cited by 53 publications

References 33 publications

Delamination analysis in single-point incremental forming of steel/steel bi-layer sheet metal

Delamination analysis in single-point incremental forming of steel/steel bi-layer sheet metal

Finite element analysis and modeling of temperature distribution in turning of titanium alloys

Proper Orthogonal Decomposition Framework for the Explicit Solution of Discrete Systems With Softening Response

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