A modified Arrhenius model for as-quenched Al-Mg-Si alloy considering the effect of cooling rate

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruichao Guo ◽  
Jianjun Wu ◽  
Yinxiang Ren
Keyword(s):  
Residual Stress ◽  
Flow Stress ◽  
Cooling Rate ◽  
Flow Behavior ◽  
Constitutive Behavior ◽  
Strain Rates ◽  
Arrhenius Model ◽  
Content Type ◽  
Stress Behavior ◽  
Flow Stress Behavior

Purpose Accurate prediction of residual stress requires precise knowledge of the constitutive behavior of as-quenched material. This study aims to model the flow stress behavior for as-quenched Al-Mg-Si alloy. Design Methodology Approach In the present work, the flow behavior of as-quenched Al-Mg-Si alloy is studied by the hot compression tests at various temperatures (573–723 K), strain rates (0.1–1 s−1) and cooling rates (1–10 K/s). Flow stress behavior is then experimentally observed, and an Arrhenius model is used to predict the flow behavior. However, due to the fact that materials parameters and activation energy do not remain constant, the Arrhenius model has an unsatisfied prediction for the flow behavior. Considering the effects of temperatures, strain rates and cooling rates on constitutive behavior, a revised Arrhenius model is developed to describe the flow stress behavior. Findings The experimental results show that the flow stress increases by the increasing cooling rate, increasing strain state and decreasing temperature. In comparison to the experimental data, the revised Arrhenius model has an excellent prediction for as-quenched Al-Mg-Si alloy. Originality Value With the revised Arrhenius model, the flow behaviors at different quenching conditions can be obtained, which is an essential step to the residual stress prediction when the model is implemented in a finite element code, e.g. ABAQUS, in the future.

Flow Stress Behavior of Nanometric Al2O3 Particulate Reinforced Al Alloy Composites Manufactured by Casting

2012 ◽  
Vol 430-432 ◽  
pp. 1294-1297
Author(s):  
Zhi Min Zhang ◽  
Yong Biao Yang ◽  
Xing Zhang
Keyword(s):  
Grain Size ◽  
Flow Stress ◽  
Dynamic Recrystallization ◽  
Al Alloy ◽  
Strain Rates ◽  
Stress Behavior ◽  
Flow Stress Behavior ◽  
Increasing Temperature ◽  
Particulate Reinforced ◽  
Temperature Dynamic

The flow stress behavior of nanometric Al2O3 particulate reinforced Al alloy composites were investigated using thermal simulation machine Gleeble-1500. Microsturctural analysis were carried out on optical microscopy. The results showed that the flow stress increased with increasing strain rate and decreased with decreasing temperature. Dynamic recovery and dynamic recrystallization occurred during hot compression of the Al composites. The grain size increased with increasing temperature (590k-710k) and decreased at 750k due to dynamic recrystallization. The grain size decreased with increasing strain rates at 750k.

Flow Stress Behavior of 2205 Duplex Stainless Steel during Warm Tensile

2012 ◽  
Vol 538-541 ◽  
pp. 1605-1610 ◽  
Author(s):  
Ji Xiang Zhang ◽  
Zheng Jun Li ◽  
Guo Yin An ◽  
Zhi Xiang Wang
Keyword(s):  
Stainless Steel ◽  
Flow Stress ◽  
Constitutive Equation ◽  
Strain Rate ◽  
Duplex Stainless Steel ◽  
Flow Behavior ◽  
Testing Machine ◽  
2205 Duplex Stainless Steel ◽  
Stress Behavior ◽  
Flow Stress Behavior

The flow behavior of 2205 duplex stainless steel for ship sheet in the strain rate ranging from 0.001 s-1 to 0.1s-1 and temperature ranging from 473K to 1073 K is studied on AG-10TA universal material testing machine. The results show that the 2205 duplex stainless steel is a strain rate sensitive material, and the flow stress increases with the increase of strain rate and decreases with the increase of temperature. The average elongation of the 2205 duplex stainless steel is above 25% with the temperature ranging from 473K-873K, and the elongation is above 47% at 1073K; At last, the flow stress constitutive equation is established based on the Browman model, which describes the flow stress behavior of 2205 duplex stainless steel in the temperature ranging from 473K-873K. The curves predicted by the constitutive equation agreement with the experiment data well.

Constitutive Modeling of Flow Stress of MAB Alloy

2015 ◽  
Vol 1101 ◽  
pp. 442-445
Author(s):  
Auchariya Aungsusiripong ◽  
Surasak Suranuntchai ◽  
Vitoon Uthaisangsuk
Keyword(s):  
Flow Stress ◽  
Flow Behavior ◽  
Peak Stress ◽  
Strain Rates ◽  
Aluminum Bronze ◽  
Arrhenius Model ◽  
Hollomon Parameter ◽  
Hyperbolic Sine ◽  
Manganese Aluminum ◽  
Strain Responses

In this work, plastic flow behavior of an as-cast manganese aluminum bronze was investigated under various compressive deformation conditions. The forming temperatures of 1023, 1073, 1123 and 1173 K and strain rates of 0.01, 0.1, 1.0 and 10 s-1 were considered. It was found that all obtained stress-strain responses of manganese aluminum bronze showed a single peak stress that afterwards approached a steady flow stress. Additionally, constitutive equations based on the Arrhenius model were applied for describing the determined flow stresses, in which Zener-Hollomon parameter in a hyperbolic-sine function was taken into account. By the flow stress modeling, the activation energy of about 194 kJ/mol was calculated for the examined manganese aluminum bronze.

scholarly journals Constitutive Modeling of the Flow Stress Behavior for the Hot Deformation of Cu-15Ni-8Sn Alloys

2020 ◽  
Vol 7 ◽  
Author(s):  
Dongxin Niu ◽  
Chao Zhao ◽  
Daoxi Li ◽  
Zhi Wang ◽  
Zongqiang Luo ◽  
...  
Keyword(s):  
Flow Stress ◽  
Relative Error ◽  
Hot Deformation ◽  
Hot Extrusion ◽  
Compression Tests ◽  
Arrhenius Model ◽  
Stress Behavior ◽  
Flow Stress Behavior ◽  
Average Absolute Relative Error ◽  
Jc Model

Three constitutive models, strain-compensated Arrhenius model, modified Johnson–Cook (JC) model, and modified Zerilli–Armstrong (ZA) model, were established for the hot-deformed Cu-15Ni-8Sn alloy based on hot compression tests. By introducing average absolute relative error (AARE), correlation coefficient (R), and relative error, the prediction accuracy of these three models was assessed. The results indicate that strain-compensated Arrhenius model has the highest accuracy at describing the flow stress behavior of the studied alloy, followed by modified JC model and modified ZA model. Moreover, the strain-compensated Arrhenius model established in this work has a great practicability in the hot-extrusion simulation of Cu-15Ni-8Sn alloys. This article provides a theoretical basis for optimizing hot deformation parameters in industrial production of the Cu-15Ni-8Sn alloys.

Texture dependencies on flow stress behavior of magnesium alloy under dynamic compressive loading

Vacuum ◽  
2021 ◽  
pp. 110323
Author(s):  
Faisal Nazeer ◽  
Syed Zohaib Hassan Naqvi ◽  
Abul Kalam ◽  
A.G. Al-Sehemi ◽  
Hussein Alrobi
Keyword(s):  
Flow Stress ◽  
Magnesium Alloy ◽  
Compressive Loading ◽  
Stress Behavior ◽  
Flow Stress Behavior ◽  
Dynamic Compressive Loading

Determining Deformation Behavior of AISI 9310 Steel Varying Temperature and Strain Rate for Aerospace Applications

2021 ◽  
Author(s):  
Adanma Akoma ◽  
Kevin Sala ◽  
Chase Sheeley ◽  
Lesley D. Frame
Keyword(s):  
Flow Stress ◽  
Strain Rate ◽  
Elevated Temperatures ◽  
Test Sample ◽  
Material Behavior ◽  
Image Correlation ◽  
Sample Length ◽  
Stress Behavior ◽  
Flow Stress Behavior ◽  
The Impact

Abstract Determination of flow stress behavior of materials is a critical aspect of understanding and predicting behavior of materials during manufacturing and use. However, accurately capturing the flow stress behavior of a material at different strain rates and temperatures can be challenging. Non-uniform deformation and thermal gradients within the test sample make it difficult to match test results directly to constitutive equations that describe the material behavior. In this study, we have tested AISI 9310 steel using a Gleeble 3500 physical simulator and Digital Image Correlation system to capture transient mechanical properties at elevated temperatures (300°C – 600°C) while controlling strain rate (0.01 s-1 to 0.1 s-1). The data presented here illustrate the benefit of capturing non-uniform plastic strain of the test specimens along the sample length, and we characterize the differences between different test modes and the impact of the resulting data that describe the flow stress behavior.

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