Ali Karimi Taheri

TL;DR: In this article, a wide variety of ageing procedures have been developed to tailor the evolved microstructures so as to yield a good combination of mechanical capacity and corrosion resistance of 7xxx series Al alloys.

TL;DR: In this article, a hybrid approach for breaking down large, complex deep neural networks for cooperative, and privacy-preserving analytics is presented, where an IoT device runs the initial layers of the neural network, and then sends the output to the cloud to feed the remaining layers and produce the final result.

TL;DR: In this article, the hot deformation behavior of nickel-base superalloy UDIMET 720 in solution-treated conditions, simulating the forging process of the alloy, was studied using hot compression experiments.

TL;DR: This article presents a hybrid approach for breaking down large, complex deep neural networks for cooperative, and privacy-preserving analytics, and shows that by using Siamese fine-tuning and at a small processing cost, this approach can greatly reduce the level of unnecessary, potentially sensitive information in the personal data.

TL;DR: In this paper, a mathematical model has been developed to determine flow stress at hot deformation condition, which is capable of including work softening due to dynamic phase transformations as well as the effect of temperature and strain rate variation on flow stress.