3.9 Article

On the constitutive modeling using meta-models and their deployment for finite element analysis to evaluate the high temperature deformation behaviour of Al 2014 alloy

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Mechanical

A parametric study on the design factors influencing the thermal performance of nickel alloy C263 sandwich panels

T. Mahender et al.

Summary: In this study, the effect of six important design parameters on the thermal performance and density of nickel alloy C263 sandwich panels was evaluated using the Taguchi-based design of experiments approach. The results were analyzed using statistical analysis techniques to determine the optimal combination of design parameters and their influence on the performance of the sandwich panels. An algebraic model was used to identify the optimum combination of design parameters that provides the best thermal performance with the lowest density. The results are presented and discussed in this paper.

AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING (2023)

Article Materials Science, Multidisciplinary

Metamodels to describe the high temperature deformation behaviour of Al 2014+2wt%TiB2 composite

T. Mahender et al.

Summary: Isothermal hot compression tests were conducted on Al 2014 + 2 wt% TiB2 composite to establish the constitutive relationship using different metamodels. The results showed that the 3-15-1 neural network architecture provided a better correlation.

ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES (2022)

Article Materials Science, Multidisciplinary

Zr-Nb Alloys and Its Hot Deformation Analysis Approaches

Kuldeep K. Saxena et al.

Summary: Zr and its alloys are strategic materials for the nuclear industry, mainly used to manufacture reactor tubes. The properties of the end component depend on the material processing route and final microstructure, with microstructure control being crucial for optimizing mechanical properties. Understanding the dominant deformation mechanisms during hot deformation is key to controlling the final microstructure and various restoration mechanisms exist for different Zr-alloys. Techniques such as stress-strain analysis and processing maps play a crucial role in studying hot deformation behaviors of materials, and findings from processing maps provide valuable insights for safe processing parameters and activation energies in Zr-Nb alloys.

METALS AND MATERIALS INTERNATIONAL (2021)

Article Materials Science, Multidisciplinary

Comparative study of metamodeling methods for modeling the constitutive relationships of the TC6 titanium alloy

Zenan Shen et al.

Summary: In this study, the flow behavior of TC6 titanium alloy was modeled through experiments and metamodeling methods such as the response surface method, the Kriging method, and the BP neural network. The results showed that these methods outperformed the traditional Arrhenius model, with the response surface and Kriging methods exhibiting better fitting accuracy and stability.

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2021)

Article Engineering, Multidisciplinary

Modelling of hot flow behavior of API-X70 microalloyed steel by genetic algorithm and comparison with experiments

H. Abarghouee et al.

Summary: The study utilized Genetic algorithm to model the flow stress of API-X70 microalloyed steel during hot compression test, considering mentioned metallurgical phenomena. Results showed a good agreement between the developed models and experimental data, indicating their suitability for predicting flow stress.

INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING (2021)

Article Materials Science, Multidisciplinary

Hot Deformation Characterization of Pure Aluminum Using artificial neural network (ANN) and Processing Map Considering Initial Grain Size

H. R. Rezaei Ashtiani et al.

Summary: Through isothermal hot compressive tests and artificial neural network models, it was found that the flow behavior of pure aluminum is significantly influenced by initial grain size at high temperatures. The developed ANN model is an effective method to predict the complex non-linear flow behavior of pure aluminum at elevated temperatures, and the processing map can be used to determine the optimum processing parameters based on microstructure evolution.

METALS AND MATERIALS INTERNATIONAL (2021)

Article Nanoscience & Nanotechnology

On the optimization of temperature and cooling rate to maximize strength and ductility of near α titanium alloy IMI 834

T. Mahender et al.

Summary: The microstructural features of titanium alloys are influenced by post deformation heat treatment parameters, which in turn affect the mechanical properties. This study evaluated the effects of solution treatment temperature and cooling rate on the microstructure and room temperature tensile properties of an α/β titanium alloy, and attempted to establish the correlation between heat treatment parameters and resulting tensile properties using response surface methodology.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2021)

Article Energy & Fuels

Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR

Abiodun Ismail Lawal et al.

Summary: In this study, predictive models for the elemental composition of coal and biomass were developed using soft computing and regression analyses. Multiple prediction models were established using samples and various prediction performance indices were used to test the reliability of the models, which were found to be satisfactory for practical purposes.

INTERNATIONAL JOURNAL OF COAL SCIENCE & TECHNOLOGY (2021)

Article Metallurgy & Metallurgical Engineering

Multi-response Mathematical Modeling for Prediction of Weld Bead Geometry of AA6061-T6 Using Response Surface Methodology

Yashwant Koli et al.

TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS (2020)

Article Materials Science, Multidisciplinary

Characterization of Hot Deformation Behavior and Processing Maps of Ti-19Al-22Mo Alloy

P. L. Narayana et al.

METALS AND MATERIALS INTERNATIONAL (2019)

Article Engineering, Manufacturing

Optimization of machining parameters of 2.25Cr1Mo0.25V steel based on response surface method and genetic algorithm

Wei Zhang et al.

INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM (2019)

Article Materials Science, Multidisciplinary

A New Method for Optimizing Hot Processing Parameters of Mg-6.0Zn-0.5Mn-0.5Er Alloy Based on Kinetic Model of Dynamic Recrystallization and Processing Map

Bin-Jiang Lv et al.

JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE (2018)

Article Nanoscience & Nanotechnology

On the microstructure evolution in friction stir processed 2507 super duplex stainless steel and its effect on tensile behaviour at ambient and elevated temperatures

M. K. Mishra et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2018)

Article Chemistry, Physical

Processing map-microstructure evolution correlation of hot compressed near alpha titanium alloy (TiHy 600)

Basanth Kumar K. et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2017)

Article Metallurgy & Metallurgical Engineering

Flow behavior of Al-6.2Zn-0.70Mg-0.30Mn-0.17Zr alloy during hot compressive deformation based on Arrhenius and ANN models

Jie Yan et al.

TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA (2017)

Article Metallurgy & Metallurgical Engineering

Hot Deformation Flow Behaviour Modelling of Cast-Extruded Al 7075 Alloy Using Arrhenius Equations and Artificial Neural Network

L. Saravanan et al.

TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS (2016)

Article Metallurgy & Metallurgical Engineering

Taguchi Based Optimisation of Artificial Neural Network to Establish a Direct Microstructure: Mechanical Property Correlation in a near-α Titanium Alloy

I. Balasundar et al.

TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS (2016)

Article Materials Science, Multidisciplinary

Modified Fields-Backofen model for constitutive behavior of as-cast AZ31B magnesium alloy during hot deformation

Weitao Jia et al.

MATERIALS & DESIGN (2016)

Article Materials Science, Multidisciplinary

Hot compression deformation and constitutive modeling of GH4698 alloy

Peng Zhang et al.

MATERIALS & DESIGN (2015)

Article Materials Science, Multidisciplinary

Modeling the hot working behavior of near-α titanium alloy IMI 834

I. Balasundar et al.

PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL (2013)

Review Materials Science, Multidisciplinary

A critical review of experimental results and constitutive descriptions for metals and alloys in hot working

Y. C. Lin et al.

MATERIALS & DESIGN (2011)

Article Nanoscience & Nanotechnology

Constitutive modelling for high temperature behavior of 1Cr12Ni3Mo2VNbN martensitic steel

Yan-Hong Xiao et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2011)

Article Materials Science, Multidisciplinary

The use of artificial neural networks in materials science based research

W. Sha et al.

MATERIALS & DESIGN (2007)

Article Materials Science, Multidisciplinary

Improvements of fatigue behaviour in 2014 Al alloy by solution heat treating and age-hardening

R Sadeler et al.

MATERIALS & DESIGN (2004)