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A Hybrid Joining Technology for Aluminum/Zinc Coated Steels in Vehicles 被引量:7
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作者 C.Y.Choi D.C.Kim +2 位作者 D.g.nam Y.D.Kim Y.D.Park 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2010年第9期858-864,共7页
Currently,in the automotive industry,joining of the aluminum alloys with the steel is a crucial problem to be solved.Conventional joining techniques including resistance spot and gas metal arc welding are not acceptab... Currently,in the automotive industry,joining of the aluminum alloys with the steel is a crucial problem to be solved.Conventional joining techniques including resistance spot and gas metal arc welding are not acceptable for those applications due to a number of metallurgical problems.The investigation was carried out to develop the hybrid joining process combining the resistance spot welding and brazing.In this study,an attempt was made to apply hybrid process to the joining of dissimilar sheet metals,Al-Mg-Si(6000 series) alloy and low carbon steel sheet.Hybrid process(resistance spot weld/brazing) using filler metal was found to be effective to overcome the incompatibility between aluminum alloy and steel.Although hybrid joining process of Al alloy sheet and steel sheet did not produce acceptable bond strength,it was proved to have reasonable interfacial bond layer if the optimal process condition was applied. 展开更多
关键词 Hybrid joining Aluminum alloy Steel Resistance welding BRAZING
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基于深度学习的胸部X线恶性结节自动检测的开发与验证研究 被引量:22
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作者 J.g.nam S.Park +5 位作者 E.J.Hwang J.H.Lee K.N.Jin K.Y.Lim 邓江(译) 王玉婷(校) 《国际医学放射学杂志》 北大核心 2019年第2期233-233,共1页
目的开发并验证一种基于深度学习的胸片恶性肺结节自动检测算法(DLAD),并与包括胸部放射医师在内的医师诊断进行比较。材料与方法对本回顾性研究,采用2010—2015年期间共34 676例病人(健康与结节分别为30 784和3 892)的43 292张胸部X线... 目的开发并验证一种基于深度学习的胸片恶性肺结节自动检测算法(DLAD),并与包括胸部放射医师在内的医师诊断进行比较。材料与方法对本回顾性研究,采用2010—2015年期间共34 676例病人(健康与结节分别为30 784和3 892)的43 292张胸部X线片(正常胸片与结节胸片分别为34 067和9 225)进行DLAD的开发。 展开更多
关键词 恶性结节 自动检测算法 深度学习
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