Mechanism investigation on high-performance Cu-Cr-Ti alloy via integrated computational materials engineering

2021 ◽  
Vol 27 ◽  
pp. 102378
Author(s):  
Zhaokuo Huang ◽  
Renhai Shi ◽  
Xingyu Xiao ◽  
Huadong Fu ◽  
Qing Chen ◽  
...  
Keyword(s):  
High Performance ◽  
Ti Alloy ◽  
Materials Engineering ◽  
Integrated Computational Materials Engineering ◽  
Computational Materials

scholarly journals Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Ali Rajaei ◽  
Yuanbin Deng ◽  
Oliver Schenk ◽  
Soheil Rooein ◽  
Alexander Bezold ◽  
...  
Keyword(s):  
High Performance ◽  
Monte Carlo Model ◽  
High Strength ◽  
Homogenization Method ◽  
Process Conditions ◽  
Fe Modelling ◽  
Production Chain ◽  
Materials Engineering ◽  
Integrated Computational Materials Engineering ◽  
Computational Materials

AbstractThis paper presents a digital model for the powder metallurgical (PM) production chain of high-performance sintered gears based on an integrated computational materials engineering (ICME) platform. Discrete and finite element methods (DEM and FEM) were combined to describe the macroscopic material response to the thermomechanical loads and process conditions during the entire production process. The microstructural evolution during the sintering process was predicted on the meso-scale using a Monte-Carlo Model. The effective elastic properties were determined by a homogenization method based on modelling a representative volume element (RVE). The results were subsequently used for the FE modelling of the heat treatment process. Through the development of multi-scale models, it was possible obtain characteristics of the microstructural features. The predicted hardness and residual stress distributions allowed the calculation of the tooth root load bearing capacity of the heat-treated sintered gears.

The Innovative Design of Suspension Cast Components of Vehicles Made from High-Strength AlZnMgCu Alloy Resistant to an IED Type Threat

2014 ◽  
Vol 223 ◽  
pp. 181-190
Author(s):  
Robert Żuczek ◽  
Stanisław Pysz ◽  
Piotr Sprawka ◽  
Tomasz Muszyński
Keyword(s):  
High Performance ◽  
High Strength ◽  
Industrial Applications ◽  
Design Development ◽  
Materials Engineering ◽  
Critical Areas ◽  
Integrated Computational Materials Engineering ◽  
Lower Control Arm ◽  
Computational Materials ◽  
New Research

The new research trends are moving away from research works that are not directly connected with industrial applications. The Integrated Computational Materials Engineering (ICME) is an excellent example of the relationship between scientific research and the industrial sector.As an example of the design development of construction of a suspension component, an overview of the changes of a welded part replaced with cast component is presented. The identification of boundary conditions and forces operating on the nodes of the suspension element allowed determining the critical areas in the existing welded construction. Then the new design of casting for high performance applications was developed. Analysis of the kinematics of the suspension components also revealed the need for changes in the design of the mounting points of the suspension components to reduce the maximum values ​​of forces and enforced moments. As a result of successive stages of the topology optimization of analysed cast, control arms with significantly lower values ​​of maximum stresses were obtained. The material conversion of welded part with high strength AlZnMgCu aluminium alloy allowed the reduction of the weight by 25% for the lower control arm and 30% for upper control arm.

Optimization of Magnesium Alloy Casting Process: An Integrated Computational Materials Engineering (ICME) Approach

2021 ◽  
Vol 1035 ◽  
pp. 808-812
Author(s):  
Xing Yang Chang ◽  
Qi Shen ◽  
Wen Xue Fan ◽  
Hai Hao
Keyword(s):  
Magnesium Alloy ◽  
Process Optimization ◽  
Casting Process ◽  
Mold Temperature ◽  
Pressure Casting ◽  
Alloy Casting ◽  
Materials Engineering ◽  
Integrated Computational Materials Engineering ◽  
Computational Materials ◽  
Low Efficiency

Traditional casting process optimization usually adopts empirical trial and error method. Process parameters were modified repeatedly within a certain range until a satisfactory solution is obtained, which is costly and inefficient. Therefore, based on integrated computational materials engineering, Magnesium Alloy Simulation Integrated Platform (MASIP) was constructed. MASIP completed the automatic operation of the entire simulation process from the CAD model data input to the process-microstructure-performance. It realized the rapid optimization simulation prediction of process-microstructure-performance, and solved the problems of long cycle and low efficiency of traditional process optimization. This paper studied the low-pressure casting optimization process of magnesium alloy thin-walled cylindrical parts based on MASIP. The calculation took casting temperature, mold temperature and holding pressure as the optimized variables, and the yield strength of the casting as the target variable. The experimental results showed that MASIP can fairly complete the structure simulation and performance prediction of castings, greatly reduce the time cost of the calculation process, and improve the efficiency of process optimization.

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