Improving the results of the earned value management technique using artificial neural networks in construction projects

A Balali, A Valipour, J Antucheviciene, J Šaparauskas - Symmetry, 2020 - mdpi.com
The cost, time and scope of a construction project are key parameters for its success. Thus,
predicting these indices is indispensable. Correct and accurate prediction of cost throughout …

[HTML][HTML] Modeling the correlation between texture characteristics and tensile properties of AZ31 magnesium alloy based on the artificial neural networks

Y Zhang, S Bai, B Jiang, K Li, Z Dong, F Pan - Journal of Materials …, 2023 - Elsevier
This work is aimed to investigate the relationship between the texture and tensile properties
of the AZ31 Mg alloy by the machine learning method. The texture characteristics …

[HTML][HTML] Modeling of flow behavior and microstructure evolution for Mg-6Gd-5Y-0.3 Zr alloy during hot deformation using a unified internal state variable method

W Xu, C Yuan, H Wu, Z Yang, G Yang, D Shan… - Journal of Materials …, 2020 - Elsevier
The hot deformation behavior of Mg-6Gd-5Y-0.3 Zr alloy at the temperatures of 673–748 K
and the strain rates of 0.01–1.0 s− 1 were investigated by hot compression experiments. On …

Accurate prediction of the extrusion forming bonding reliability for heterogeneous welded sheets based on GA-BP neural network

L Gao, F Li, P Da Huo, C Li, J Xu - The International Journal of Advanced …, 2021 - Springer
Extrusion connection is a new method of forming and manufacturing heterogeneous welded
sheets. The factors that affected the bonding quality are the forming temperature, the …

Study of the microstructure, bonding evolution and mechanical properties of continuously extruded magnesium AZ31 sheet

L Guo, J Yuan, J Pei, Y Zhao, K Zhang… - Materials Science and …, 2021 - Elsevier
Magnesium (Mg) alloys have considerable potential for lightweight applications in many
industrial sectors. However, developing a cost-effective sheet forming process is extremely …

Process optimization of chain-die forming for asymmetric channels by an image-based machine learning method

Y Liu, Z Zhang, T Zou, W Chen, D Li - Journal of Manufacturing Processes, 2023 - Elsevier
The coupled springback of twist and angle is a major shape error for high-strength
asymmetric channels in the automotive industry. In the process design stage of sheet metal …

Solid-state welding and microstructural features of an aluminium alloy subjected to a novel two-billet differential velocity sideways extrusion process

X Lu, J Yu, VA Yardley, H Liu, Z Shi, J Lin - Journal of Materials Processing …, 2021 - Elsevier
A novel process for fabricating cross-sectional shapes of curved profiles in industrial
applications, two-billet differential velocity sideways extrusion (DVSE), is proposed in this …

Efficient image-driven algorithms for sheet forming optimization based on deep learning

Y Li, H Wang, J Wang, X Liu, H Zhang… - Structural and …, 2021 - Springer
With the increase of complexity of Computer-Aided Engineering (CAE) models and practical
problems, the evaluation cost of sheet forming simulation is commonly expensive. Surrogate …

Optimization strategy for the indirect isothermal extrusion of high-strength aluminum alloy based on temporal fusion transformer

C Guo, J Qiao, W Wang, DZ Sun, Q Li - The International Journal of …, 2023 - Springer
Isothermal extrusion is an important method for ensuring the quality of extruded profiles. On
the basis of the actual indirect extrusion process of 7075 aluminum alloy with high strength …

[HTML][HTML] Experimental and numerical investigation into rectangular tube extrusion of high-strength magnesium alloy

S Bai, G Fang - International Journal of Lightweight Materials and …, 2020 - Elsevier
In order to reduce weight in air and ground vehicles, hollow magnesium alloy profiles are
widely concerned. This research was aimed to extrude the tubes of newly developed high …