Experimental and FEM analysis of surface integrity when broaching Ti64

Ortiz-de-Zarate, G.; Madariaga, A.; Garay, A.; Azpitarte, Larraitz; Sacristan, Irantzu; Cuesta, Mikel; Arrazola, P.J.

doi:10.1016/j.procir.2018.05.033

Cited by 24 publications

(20 citation statements)

References 15 publications

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“…49 For this reason, the development of machining simulations requires a material flow stress model, that governs the response of the deforming material. The workpiece material model is critical data for machining simulations with FEM 36,48 because it changes the system response in terms of cutting forces, temperature distribution and chip morphology. 50 The phenomenological models commonly used to simulate Ti6Al4V machining are presented in Table 1.…”

Section: Phenomenological Constitutive Models For Ti6al4v Machining Modelingmentioning

confidence: 99%

“…[57][58][59][60][61][62] Those tests are performed under high strain, strain rate and temperature to replicate what happens to the material under machining conditions. 36,53,63 Table 1. Phenomenological constitutive models (highlighted in boldface) for machining modeling of Ti6Al4V.…”

Section: Phenomenological Constitutive Models For Ti6al4v Machining Modelingmentioning

confidence: 99%

“…However, this material is known to be difficult-to-cut by machining, which arises the need of further investigation on methods to improve the maquinability and quality of the machined parts. 35,36 'Thermo-mechanical properties and machining behavior of Ti6Al4V' section starts with a description of Ti6Al4V alloy in terms of properties and machining behavior. 'Numerical modeling of Ti6Al4V machining process using FEM' section is about Ti6Al4V machining simulations with FEM, the constitutive material models for Ti6Al4V are presented in 'Phenomenological constitutive models for Ti6Al4V machining modeling' section, the friction models that explain the contact conditions at the tool-chip interface in Ti6Al4V machining are in 'Contact and friction models for Ti6Al4V machining modeling' section.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent machining methods for Ti6Al4V: A review

Carvalho

Pereira

Horovistiz

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part E:

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Digital manufacturing is a necessity to establishing a roadmap for the future manufacturing systems projected for the fourth industrial revolution. Intelligent features such as behavior prediction, decision-making abilities, and failure detection can be integrated into machining systems with computational methods and intelligent algorithms. This review reports on techniques for Ti6Al4V machining process modeling, among them numerical modeling with finite element method (FEM) and artificial intelligence-based models using artificial neural networks (ANN) and fuzzy logic (FL). These methods are intrinsically intelligent due to their ability to predict machining response variables. In the context of this review, digital image processing (DIP) emerges as a technique to analyze and quantify the machining response (digitization) in the real machining process, often used to validate and (or) introduce data in the modeling techniques enumerated above. The widespread use of these techniques in the future will be crucial for the development of the forthcoming machining systems as they provide data about the machining process, allow its interpretation and quantification in terms of useful information for process modelling and optimization, which will create machining systems less dependent on direct human intervention.

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Section: Phenomenological Constitutive Models For Ti6al4v Machining Modelingmentioning

confidence: 99%

Section: Phenomenological Constitutive Models For Ti6al4v Machining Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent machining methods for Ti6Al4V: A review

Carvalho

Pereira

Horovistiz

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…The no-load condition is defined as the condition when the Strut Fin PMM attaches to the Towing Tank carriage without the load of the ship model below it. To assist the calculation of harmonic response using FEM software [10][11][12][13].…”

Section: Harmonic Response Analysismentioning

confidence: 99%

Harmonic Response Analysis of Strut Fin on Planar Motion Mechanism

Priohutomo¹,

Ariyanto²

2019

EPI-IJE

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In a material selection design that will be used is one important step. Because by selecting the right material with the appropriate material properties, it can be seen the harmonic response value of a structure. By knowing the value of harmonic response in a structure, at the time of testing can avoid damage to the structure. In this study the material used for Fin Planar Motion Mechanism (PMM) is Stainless Steel 304 (SS 304). To calculate the harmonic response, the SPSS method is used. From the research results in the range 1-100 Hz the displacement value is still below the limit with a maximum value of 2.50E-12 mm and a maximum stress value of 2.95E-05 Pa.

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“…In 2016, Lu et al 28 employed a JC model coupled with Crock and Latham's (CL) failure criterion in DEFORM-2D TM to study the burr formation mechanism in Ti6Al4V OC operation. Similar modelling strategy was applied by Ortiz-de-Zarate et al 29 in 2018, the authors conducted numericalexperimental work to study the thickness of the deformed layer and the maximum residual compression stress in machined surfaces. They used models were created in DEFORM-2D TM using a JC law coupled with CL failure criterion.…”

Section: Introductionmentioning

confidence: 99%

Material model assessment in Ti6Al4V machining simulations with FEM

Carvalho

Horovistiz

Davim

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Ti6Al4V alloy is a well-known difficult-to-cut material used in different industrial applications, to achieve the expected component quality, proper definition and control of the machining process parameters must be accomplished. To address this problem, simulations with finite element method (FEM) seem to be an interesting engineering tool to model and optimize machining processes. Nevertheless, the model capability in capturing the behaviour observed in real machining processes is associated with the definition of the model and parameters that describe the workpiece flow stress. This contribution aimed to study the performance of built-in AdvantEdge-2D™ material laws applied in Ti6Al4V orthogonal cutting simulations under dry conditions. The numerical models were created under three levels of cutting speed, a constant feed rate and depth-of-cut, a variable tool rake angle (of 20° and −6°/0°), but also using four Ti6Al4V constitutive laws, namely, one suggested in AdvantEdge™ library, a Johnson-Cook (JC) model, a Power law (PL) and a PL coupled with ductile damage model. Experimental results were used to assess the numerical models’ accuracy in predicting the machining forces and metal chips. Satisfactory results regarding the machining forces prediction were achieved with all material laws, yet when the damage criterion was coupled with the constitutive laws (PLD and AE standard material law), the simulations were also were able to achieve the expected chip morphology (serrated metal chips).

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Experimental and FEM analysis of surface integrity when broaching Ti64

Cited by 24 publications

References 15 publications

Intelligent machining methods for Ti6Al4V: A review

Intelligent machining methods for Ti6Al4V: A review

Harmonic Response Analysis of Strut Fin on Planar Motion Mechanism

Material model assessment in Ti6Al4V machining simulations with FEM

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