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Titlebook: Materials Design and Applications II; Lucas F. M. da Silva Book 2019 Springer Nature Switzerland AG 2019 MDA 2018 Porto.Shape Memory Compo

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书目名称Materials Design and Applications II
编辑Lucas F. M. da Silva
视频video
概述Features fundamental research on the design and application of engineering materials.Highlights applications for automotive, railway, marine, aerospace, biomedical, pressure-vessel and turbine technol
丛书名称Advanced Structured Materials
图书封面Titlebook: Materials Design and Applications II;  Lucas F. M. da Silva Book 2019 Springer Nature Switzerland AG 2019 MDA 2018 Porto.Shape Memory Compo
描述.This book highlights fundamental research on the design and application of engineering materials, and predominantly mechanical engineering applications. This area includes a wide range of technologies and materials, including metals, polymers, composites, and ceramics. Advanced applications include manufacturing cutting-edge materials, testing methods, and multi-scale experimental and computational aspects. The book introduces readers to a wealth of engineering applications in transport, civil, packaging and power generation..
出版日期Book 2019
关键词MDA 2018 Porto; Shape Memory Composites; Welding Technology; Adhesively Bonded Joints; Composite System
版次1
doihttps://doi.org/10.1007/978-3-030-02257-0
isbn_ebook978-3-030-02257-0Series ISSN 1869-8433 Series E-ISSN 1869-8441
issn_series 1869-8433
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Comparison of Artificial Neural Network and Adaptive Neuro Fuzzy Inference Systems for Predicting thaximum and minimum principal stresses through which fatigue limit of punch is estimated. The factors affecting the life of punch are examined and a mathematical model is established using artificial neural network (ANN) and adaptive neuro fuzzy inference systems (ANFIS). The developed model is utili
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Comparison Between Hot Rolled and PM/HIP Processed Duplex Stainless Steel UNS S31803tting corrosion resistance and toughness. The steel with basic composition 21.0–23.0%Cr, 4.5–6.5%Ni, 2.5–3.5%Mo, 0.08–0.20%N was developed in the 1980s and became the most popular DSS used in the oil and gas industry. The mechanical properties and corrosion resistance are optimized with a microstruc
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Inverse Methodology for Estimating the Heat Transfer Coefficient in a Duplex Stainless Steel Castingesses in the end cast components. In this work, a numerical model was developed to simulate the cooling of a duplex stainless steel casting on a furan-bonded sand mold. The heat transfer coefficient (HTC) as a function of temperature was determined by an inverse method. A good agreement between expe
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