A critical analysis of plastic flow behaviour in axisymmetric isothermal and Gleeble compression testing

Bennett, Chris; Leen, Seán B.; Williams, Edward J.; Shipway, P.H.; Hyde, T H

doi:10.1016/j.commatsci.2010.07.016

Cited by 42 publications

(28 citation statements)

References 24 publications

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“…temperature plots obtained from three thermocouples. Similar differences have also been observed in a nickel-based superalloy by Bennette et al [19]. Finally, it should be noted that temperature gradients are directly proportional to the emissivity and the electrical resistivity but inversely proportional to the thermal conductivity of the tested material.…”

Section: Radial and Longitudinal Thermal Gradientssupporting

confidence: 82%

“…The high temperature deformation of IN718 alloys fabricated by additive manufacturing could not be found in the literature. The present work contributes to the research efforts [19][20][21] that aim at improving the ability of SLM to manufacture near net shape engineered and repeatable products to achieve similar or superior performances to the wrought or cast materials.…”

Section: Introductionmentioning

confidence: 99%

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Hot compression behavior and microstructure of selectively laser-melted IN718 alloy

Mostafa

Shahriari

Rubio³

et al. 2018

Int J Adv Manuf Technol

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Integration of additive manufacturing into traditional manufacturing processes presents the future of engineered components with similar or superior performance levels to wrought or cast materials. In this work, the hot deformation behavior and the microstructural changes of heat-treated SLMprinted IN718 specimens are investigated. Samples having the same shape and size were 3D-printed, homogenized (1100 °C, 1h and furnace-cooled) and hot-compressed, using a Gleeble ® 3800 physical simulator at 1000 and 1050 °C and 0.1 and 0.01 s-1 strain rates. A 3D diagram shows the effect of temperature and strain rate on the flow stress behavior of IN718 during hot deformation is plotted. The dynamic recrystallization (DRX) mechanism was dominant in all specimens tested at 0.1 s-1 , while dynamic recovery (DRV) dominated in 0.01 s-1 tests. Changing the strain rate from 0.01 to 0.1 s-1 at 1000 °C increased the peak stress from 150 to 290 MPa (93%), while with a temperature decrease from 1050 to 1000 °C at 0.1 s-1 , the peak stress increased by 45%. Thus, the mechanical behavior was found to be more dependent on the strain rate than on the temperature. The DRX structure showed new grains developing at the boundaries of the original grains, whereas with the DRV structure, new grains grew within the original grains. A phenomenological model based on the Zener-Hollomon parameter was proposed in order to predict the size of recrystallized grains during hot deformation of the SLM-printed IN718 superalloy. The thermal softening due to recrystallization was compensated by precipitation hardening, as was revealed by phase analysis.

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Section: Radial and Longitudinal Thermal Gradientssupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Hot compression behavior and microstructure of selectively laser-melted IN718 alloy

Mostafa

Shahriari

Rubio³

et al. 2018

Int J Adv Manuf Technol

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“…1) with the deformation temperatures of 700, 750, 800, 850 and 900°C, respectively [11][12][13]. Four typical strain rates of 0.001, 0.01, 0.1 and 1 s -1 were selected.…”

Section: Experimental Methodsmentioning

confidence: 99%

High-temperature deformation behavior of Cu–6.0Ni–1.0Si–0.5Al–0.15 Mg–0.1Cr alloy

et al. 2012

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The hot compression deformation behavior of Cu-6.0Ni-1.0Si-0.5Al-0.15 Mg-0.1Cr alloy with high strength, high stress relaxation resistance and good electrical conductivity was investigated using a Gleeble1500 thermal-mechanical simulator at temperatures ranging from 700 to 900°C and strain rates ranging from 0.001 to 1 s -1 . Working hardening, dynamic recovery and dynamic recrystallization play important roles to affect the plastic deformation behavior of the alloy. According to the stressstrain data, constitutive equation has been carried out and the hot compression deformation activation energy is 854.73 kJ/mol. Hot processing map was established on the basis of dynamic material model theories, and Prasad instability criterion indicates that the appropriate hot processing temperature range and strain rate range for hot deformation were 850*875°C and 0.001*0.01 s -1 , which agreed well with the hot rolling experimentation results.

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“…Initial temperature fields in the specimen have been generated at 900°C and 1100°C using the techniques described by Bennett et al 4 Strain rates of 1 and 10 s 21 are considered.…”

Section: Test Parametersmentioning

confidence: 99%

“…Optimisation of the flow stress of a Boron steel using a FE model of the Gleeble (1500) compression test has been carried out by Å kerstro¨m and Oldenburg; 8 however, this model did not include the effects of an initial temperature profile present within the specimen or adiabatic heating during the compression, which could lead to errors in the optimised results as highlighted by the study of Bennett et al 4,5 The focus of this study is to develop a robust optimisation procedure that can be used to improve the characterisation of the large deformation plastic behaviour of materials, in the form of a Norton-Hoff material model in this case, using experimental Gleeble compression data and a FE model of the Gleeble compression process. The Norton-Hoff material model is often used to represent large strain plastic flow stress of a material across a wide range of temperatures and strain rates, 9 which is particularly applicable for the modelling of forming and forging manufacturing processes.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test

Bennett

Sun

2014

The Journal of Strain Analysis for Engineering Design

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The Finite Element (FE) modelling of manufacturing processes often requires a large amount of large plastic strain flow stress data in order to represent the material of interest over a wide range of temperatures and strain rates. Compression data generated using a Gleeble thermo-mechanical simulator is difficult to interpret due to the complex temperature and strain fields which exist within the specimen during the test. In this work, a non-linear optimisation process is presented, which includes an FE model of the compression process to accurately determine the constants of a five-parameter Norton Hoff material model. The optimisation process is first verified using a reduced three-parameter and then the full five-parameter model using a known set of constants to produce the target data, from which the errors are assessed. Following this, the optimisation is performed using experimental target data starting from a set of constants derived from the test data using an initial least-squares fit, and also an arbitrary starting point within the parameter space. The results of these tests yield coefficients differing by a maximum of less than 2% and significantly improve the representation of the flow stress of the material.

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A critical analysis of plastic flow behaviour in axisymmetric isothermal and Gleeble compression testing

Cited by 42 publications

References 24 publications

Hot compression behavior and microstructure of selectively laser-melted IN718 alloy

Hot compression behavior and microstructure of selectively laser-melted IN718 alloy

High-temperature deformation behavior of Cu–6.0Ni–1.0Si–0.5Al–0.15 Mg–0.1Cr alloy

Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test

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