High strain rate and high temperature mechanical response of additively manufactured alloy 625

Lewis, Jonathan; Pasco, Jubert; McCarthy, Thomas; Chadha, Kanwal; Harding, Matthew; Aranas, Clodualdo

doi:10.1016/j.jmapro.2022.07.047

Cited by 14 publications

(7 citation statements)

References 16 publications

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“…The FEA-predicted behaviour surpassed the existing data in the material database. Lewis et al [11] aimed to establish suitable constitutive models for simulating the mechanical behaviour of INCONEL ® 625 components fabricated using Laser Powder Bed Fusion (LPBF) for aerospace applications. SHPB testing results were used to calculate the coefficients for five constitutive models: JC, modified JC, Hensel-Spittel, modified Hensel-Spittel, and modified Zerilli-Armstrong models.…”

Section: Model Equationmentioning

confidence: 99%

“…The material element removal criterion embedded within FEA programs, such as ABAQUS ™ or ANSYS ® , is the trivial relation between = ε p f and equivalent plastic strain (ε p ) [62], as described in Equation (11), (11) and in Equation (12), which shows the calculus of ε p f [16,63,64]:…”

Section: Model Equationmentioning

confidence: 99%

“…Table 1 displays several integrated material constitutive models in use. For a better grasp of the additional variables outlined in Table 1, it is recommended to refer to the research by Iturbe et al [10], Lewis et al [11], Lin et al [12], and Rudnytskyj et al [13].…”

Section: Introduction 1materials Numerical Modellingmentioning

confidence: 99%

See 2 more Smart Citations

INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

Pedroso,

Sebbe,

Costa

et al. 2024

JMMP

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Machining INCONEL® presents significant challenges in predicting its behaviour, and a comprehensive experimental assessment of its machinability is costly and unsustainable. Design of Experiments (DOE) can be conducted non-destructively through Finite Element Analysis (FEA). However, it is crucial to ascertain whether numerical and constitutive models can accurately predict INCONEL® machining. Therefore, a comprehensive review of FEA machining strategies is presented to systematically summarise and analyse the advancements in INCONEL® milling, turning, and drilling simulations through FEA from 2013 to 2023. Additionally, non-conventional manufacturing simulations are addressed. This review highlights the most recent modelling digital solutions, prospects, and limitations that researchers have proposed when tackling INCONEL® FEA machining. The genesis of this paper is owed to articles and books from diverse sources. Conducting simulations of INCONEL® machining through FEA can significantly enhance experimental analyses with the proper choice of damage and failure criteria. This approach not only enables a more precise calibration of parameters but also improves temperature (T) prediction during the machining process, accurate Tool Wear (TW) quantity and typology forecasts, and accurate surface quality assessment by evaluating Surface Roughness (SR) and the surface stress state. Additionally, it aids in making informed choices regarding the potential use of tool coatings.

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Section: Model Equationmentioning

confidence: 99%

Section: Model Equationmentioning

confidence: 99%

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INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

Pedroso,

Sebbe,

Costa

et al. 2024

JMMP

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“…These models were specifically chosen for their efficacy in high-temperature conditions, and their capacity to account for the coupled effects of strain, strain rate, and temperature on flow stresses. The methodology and detailed steps involved in these models have been documented in previous research in [27,28], and are well-established in the literature. It is important to note that the empirical data used in this analysis were extracted from the stressstrain curves presented in figure 3.…”

Section: Constitutive Modellingmentioning

confidence: 99%

High-temperature mechanical properties of additively manufactured 420 stainless steel

Bongao,

de Yro

et al. 2024

Mater. Res. Express

Self Cite

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Martensitic stainless steels are indispensable alloys in various high stress and temperature applications such as plastic injection molds and components in steam generators. Subtractive manufacturing methods used to fabricate these parts, however, limits its functionality and performance due to design constraint of cooling channels. This limitation can be resolved by means of additive manufacturing while ensuring that acceptable high-temperature properties can be achieved. In this work, the mechanical behavior of additively manufactured 420 stainless steel (AM420SS) is explored through material constitutive modeling to determine the mathematical model that best describes its flow stress in extreme conditions. This is accomplished by subjecting the samples to hot compression under the strain rates of 0.1-1.0 s-1, and temperatures between 973-1423 K (700-1150 ºC) via Gleeble thermomechanical test. The experimental data were used to generate the predictive flow stress curves of constitutive models which includes Johnson-Cook, Zerilli-Armstrong, Zener-Hollomon, and Hensel-Spittel equations. Results showed that Zener-Hollomon and Hensel-Spittel models are the most accurate material constitutive equations with relatively high R values of 0.982 and 0.976, and low average absolute relative error values of 8.13 % and 7.69 %, respectively. The material constants derived from these models can be applied in finite element analysis simulations to assess the performance of using AM420SS parts at high temperature and strain conditions.

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“…Very good statistical results with R = 0.995 and AARE = 5.3% are obtained when the predicted stresses are compared to experimental stresses for Ti-modified austenitic stainless steel. The modified model that was presented by Samantaray et al 43 was implemented to predict the hot deformation behavior for different alloys with accurate predictions 44 – 46 and without accurate predictions 47 – 50 .…”

Section: Introductionmentioning

confidence: 99%

Modified Fields-Backofen and Zerilli-Armstrong constitutive models to predict the hot deformation behavior in titanium-based alloys

Shokry

2024

Sci Rep

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This work presents modifications for two constitutive models for the prediction of the flow behavior of titanium-based alloys during hot deformation. The modified models are the phenomenological-based Fields-Backofen and the physical-based Zerilli-Armstrong. The modifications are derived and suggested by studying the hot deformation of titanium-based alloy Ti55531. The predictability of the modified models along with the original Fields-Backofen and another modified Zerilli-Armstong models is assessed and evaluated using the well-known statistical parameters correlation coefficient (R), Average Absolute Relative Error (AARE), and Root Mean Square Error (RMSE), for the Ti55531 alloy, and validated with other two different titanium-based alloys SP700 and TC4. The results show that the modified Fields-Backofen gives the best performance with R value of 0.996, AARE value of 3.34%, and RMSE value of 5.64 MPa, and the improved version of the modified Zerilli-Armstrong model comes in the second-best place with R value of 0.992, AARE value of 3.52%, and RMSE value of 9.15 MPa for the Ti55531 alloy.

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High strain rate and high temperature mechanical response of additively manufactured alloy 625

Cited by 14 publications

References 16 publications

INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

High-temperature mechanical properties of additively manufactured 420 stainless steel

Modified Fields-Backofen and Zerilli-Armstrong constitutive models to predict the hot deformation behavior in titanium-based alloys

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