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Experimental methodology and predictive tools in austenitic stainless steel with different ferrite content welds

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TLDR
In this paper, the ferrite content of austenitic stainless steel welds is kept at a lower limit to reduce the thermal crack sensitivity of the welds, which can reduce the cost of welding.
Abstract
The ferrite content of austenitic stainless steel welds seriously affects to perform stainless steel welds. Keeping the ferrite content at the lower limit can reduce the thermal crack sensitivity o...

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Machine learning (deep learning) and visualization assisted ferrite content prediction in austenitic stainless steel

TL;DR: In this article , the ferrite content of 202 austenitic stainless-steel welds was predicted based on Machine Learning (ML), and the data set was analyzed by manifold learning, feature engineering, and other methods.
References
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Journal ArticleDOI

Deep learning in neural networks

TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
Book

Encyclopedia of Materials: Science and Technology

TL;DR: In this article, the fundamental core theory of functional properties and properties of materials are discussed. But the authors focus on the physical properties of thin films and artificial multilayers, rather than the structural properties of the materials themselves.
Journal ArticleDOI

Neural Networks in Materials Science

TL;DR: This paper begins with an introduction to neural networks and contains a review of some applications of the technique in the context of materials science.
Journal ArticleDOI

Solidification cracking in austenitic stainless steel welds

TL;DR: In this paper, the WRC-92 diagram is used as a general guide to maintain a desirable solidification mode during welding, which is a significant problem during the welding of austenitic stainless steels.
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