Effects of Microstructure on the Dynamic Strain Aging in Ferritic-Pearlitic Steels

Hokka, Mikko; Rämö, Jari; Mardoukhi, Ahmad; Vuoristo, Taina; Roth, Armin; Kuokkala, Veli‐Tapani

doi:10.1007/s40870-018-0169-z

Cited by 7 publications

(13 citation statements)

References 27 publications

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“…The ability of the newly developed flow stress curves from the previous section to predict DSA has been validated using the Gleeble test data from previous work [14]. The flow stress curves are obtained for three different strain rates of 1 s −1 , 5 s −1 , and 60 s −1 with programmed temperatures between 200-700 • C. The temperature range at which DSA is exhibited is a function of the strain rate [6,7]. In the temperature-strain rate range where DSA is active, the initial yield stress increases with temperature and decreases with the strain rate.…”

Section: Fitting Of Flow Stress Curves Using the Modified Jc Modelmentioning

confidence: 99%

“…The initial yield stress parameter A is modified similarly to the VAR model to incorporate the DSA influence, leading to yield stress increase with temperature increase at specific temperature ranges [8], as in Equations (3)-(6) and shown in Figure 1. Reported experimental investigations have shown that the dynamic strain aging temperature range is a function of strain rate [6,7,14]. The value of A 0 is obtained from the room temperature quasistatic compression test.…”

Section: Introductionmentioning

confidence: 99%

“…The value of A ∆ corresponds to the peak initial yield stress increase in the DSA regime. The constants A 1 and t are fitted with flow stress curves that are obtained at high strain rate conditions from El Magd et al [6] and Hokka et al [7]. The temperatures T l and T h represent the start and end of DSA, the regime at the reference strain rate.…”

Section: Introductionmentioning

confidence: 99%

“…T l and T h are modeled as a function of strain rate instead of a constant as in the VAR model. This methodology is necessary to accommodate the observation of dynamic strain aging temperature range being dependent on strain rate [6,7]. The model assumes the DSA regime to extend to higher strain rates at which experimental results are unavailable.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, there are deformation mechanisms that are material specific, such as dynamic strain aging (DSA). Previous studies carried out in understanding the behavior of ferritic-pearlitic steel have shown that DSA is a function of temperature and strain rate [6][7][8][9]. Earlier studies have been uncertain about the need for the incorporation of DSA in machining process modeling [10,11].…”

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confidence: 99%

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Predicting Continuous Chip to Segmented Chip Transition in Orthogonal Cutting of C45E Steel through Damage Modeling

Devotta

Sivaprasad

Beňo

et al. 2020

Metals

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Machining process modeling has been an active endeavor for more than a century and it has been reported to be able to predict industrially relevant process outcomes. Recent advances in the fundamental understanding of material behavior and material modeling aids in improving the sustainability of industrial machining process. In this work, the flow stress behavior of C45E steel is modeled by modifying the well-known Johnson-Cook model that incorporates the dynamic strain aging (DSA) influence. The modification is based on the Voyiadjis-Abed-Rusinek (VAR) material model approach. The modified JC model provides the possibility for the first time to include DSA influence in chip formation simulations. The transition from continuous to segmented chip for varying rake angle and feed at constant cutting velocity is predicted while using the ductile damage modeling approach with two different fracture initiation strain models (Autenrieth fracture initiation strain model and Karp fracture initiation strain model). The result shows that chip segmentation intensity and frequency is sensitive to fracture initiation strain models. The Autenrieth fracture initiation strain model can predict the transition from continuous to segmented chip qualitatively. The study shows the transition from continuous chip to segmented chip for varying feed rates and rake angles for the first time. The study highlights the need for material testing at strain, strain rate, and temperature prevalent in the machining process for the development of flow stress and fracture models.

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Section: Fitting Of Flow Stress Curves Using the Modified Jc Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Predicting Continuous Chip to Segmented Chip Transition in Orthogonal Cutting of C45E Steel through Damage Modeling

Devotta

Sivaprasad

Beňo

et al. 2020

Metals

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Large-scale investigation of dry orthogonal cutting experiments Ti6Al4V and Ck45

Klippel,

Süssmaier,

Zhang

et al. 2024

Int J Adv Manuf Technol

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The numerical simulation of metal cutting processes requires material data for constitutive equations, which cannot be obtained with standard material testing procedures. Instead, inverse identifications of material parameters within numerical simulation models of the cutting experiment itself are necessary. This report presents the findings from a large-scale study of dry orthogonal cutting experiments on Ti6Al4V (Grade 5) and Ck45 (AISI 1045). It includes material characterization through microstructural analysis and tensile tests. The study details the measurement of cutting insert geometries and cutting edge radii, evaluates process forces, deduces friction coefficients and coefficients for Kienzle’s force model, and analyzes chip forms and thicknesses as well as built-up edge formation depending on the process parameters. The collected data, stored in pCloud, can support other researchers in the field, e.g. for recomputations within numerical models or inverse parameter identifications. The dataset includes force measurements, cutting edge scans, and chip images including longitudinal cross-sections of chips.

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Probabilistic reliability assessment of butt-welded joints under pressure using FAD and the FORM

Bahram,

Chaib,

Slimane

et al. 2024

Int J Adv Manuf Technol

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Effects of Microstructure on the Dynamic Strain Aging in Ferritic-Pearlitic Steels

Cited by 7 publications

References 27 publications

Predicting Continuous Chip to Segmented Chip Transition in Orthogonal Cutting of C45E Steel through Damage Modeling

Predicting Continuous Chip to Segmented Chip Transition in Orthogonal Cutting of C45E Steel through Damage Modeling

Large-scale investigation of dry orthogonal cutting experiments Ti6Al4V and Ck45

Probabilistic reliability assessment of butt-welded joints under pressure using FAD and the FORM

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