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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書目名稱Materials Design and Applications II影響因子(影響力)




書目名稱Materials Design and Applications II影響因子(影響力)學科排名




書目名稱Materials Design and Applications II網(wǎng)絡公開度




書目名稱Materials Design and Applications II網(wǎng)絡公開度學科排名




書目名稱Materials Design and Applications II被引頻次




書目名稱Materials Design and Applications II被引頻次學科排名




書目名稱Materials Design and Applications II年度引用




書目名稱Materials Design and Applications II年度引用學科排名




書目名稱Materials Design and Applications II讀者反饋




書目名稱Materials Design and Applications II讀者反饋學科排名

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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

態(tài)度暖昧

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