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塑料激光透射焊接原理及材料影响因素探析 被引量:5
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作者 岳贵成 高健峰 薛长鸣 《工程塑料应用》 CAS CSCD 北大核心 2021年第9期155-158,共4页
首先介绍了塑料激光透射焊接的原理,焊接工艺对选材的要求。其次,探析了材料对激光透射焊接的影响因素,分析了增韧、增强、材料配色以及厚度对透光率的影响,同时对现阶段激光吸收剂的使用情况进行了综述。最后,针对目前制造过程中遇到... 首先介绍了塑料激光透射焊接的原理,焊接工艺对选材的要求。其次,探析了材料对激光透射焊接的影响因素,分析了增韧、增强、材料配色以及厚度对透光率的影响,同时对现阶段激光吸收剂的使用情况进行了综述。最后,针对目前制造过程中遇到的问题,对激光焊接材料提出了新需求。 展开更多
关键词 塑料 激光透射焊接 原理 材料影响因素
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Quantitative analysis on influencing factors for interface propagation-based thermal conductivity measurement method during solid-liquid transition 被引量:1
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作者 ZHOU Tian MA Xiao-yi +1 位作者 LIU Xu LI Yuan 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第8期2041-2055,共15页
The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, i... The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, in previous investigation, the analysis on the measurement error was qualitative and only focused on the total effects on the measurement without decoupling the influencing factors. This paper discusses the effects of influencing factors on the measurement results for the interface propagation-based method. Numerical simulations were performed to explore the influencing factors, namely model simplification, subcooling and natural convection, along with their impact on the measurement process and corresponding measurement results. The numerical solutions were provided in terms of moving curves of the solid-liquid interface and the predicted values of thermal conductivity. Results indicated that the impact of simplified model was strongly dependent on Stefan number of the melting process. The degree of subcooling would lead to underestimated values for thermal conductivity prediction. The natural convection would intensify the heat transfer rate in the liquid region, thereby overestimating the obtained results of thermal conductivity. Correlations and experimental guidelines are provided. The relative errors are limited in ±1.5%,±3%and ±2% corresponding to the impact of simplified model, subcooling and natural convection, respectively. 展开更多
关键词 phase change material thermal conductivity measurement influencing factor interface propagation-based method numerical simulation
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