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| 1 | 新型SPD工艺对AM60镁合金性能不均匀性的影响显示文摘利用新型大塑性变形(SPD)技术提高镁合金的冶金性能。在此过程中,先进行循环挤压−压缩−角挤压(CECAP)过程,再在出口处进行挤压,起到附加背压的作用。因此,与等径角挤压(ECAP)相比,期望获得更加均匀和优异的力学性能。为了评价这种新方法的有效性和能力,对AM60镁合金进行加工。有限元分析表明,新方法的应变值和均匀应变分布均显著提高。此外,与传统的ECAP相比,新方法的压应力增加约110%。实验结果表明,经新工艺处理后,试样的硬度和强度均有显著提高,这是由于其晶粒细化,显微组织更加均匀,并且细化的β相沿晶界均匀分布。因此,该新工艺在未来镁合金生产中具有广阔的应用前景。 | Siroos AHMADI Vali ALIMIRZALOO Ghader FARAJI Ali DONIAVI | 2021 | Transactions of Nonferrous Metals Society of China2021，31，3： | 8 |
| 2 | Thermal Conductivity of Low Density Polyethylene Foams Part I: Comprehensive Study of Theoretical Models显示文摘Polymeric foams are one of the most applicable thermal-insulation materials due to their low thermal conductivity,high mechanical properties,and low cost.Optimization of thermal-insulation performance of polymeric foams needs a theoretical model in order to predict the overall thermal conductivity.So far,several theoretical approaches are presented in this regard but to the best knowledge of the authors,there is no comprehensive investigation on comparing the proposed models.Therefore,the study of validity of the theoretical models in comparison with the experimental results is one of the main goals of the present study.Low density polyethylene(LDPE)foams are selected as the case study due to the wide application range.Different models to predict the overall conductivity of the foam based on conduction through the combined gas and solid phases(λgs)as well as radiation thermal conductivity(λr)are presented.The results indicate that the best model is a model in whichλgs is calculated using Gibson and Ashby model andλr is obtained using Williams and Aldao model based on the root mean square(RMS)parameter.The results show that the theoretical error of this model is smaller than 10%. | REZGAR Hasanzadeh TAHER Azdast ALI Doniavi RICHARD Eungkee Lee | 2019 | Journal of Thermal Science2019，28，4： | 5 |
| 3 | Thermal Conductivity of Low-Density Polyethylene Foams Part Ⅱ: Deep Investigation using Response Surface Methodology显示文摘Here,we conducted a deep study on the thermal insulation performance of polymeric foams using response surface methodology(RSM).Cell size,foam density,and cell wall thickness were considered as variable parameters.Analysis of variance(ANOVA)tool was utilized to recognize the effective parameters on the different mechanisms of heat transfer.Regression models were presented to forecast the different mechanisms of heat transfer and their validities were checked using ANOVA tool as well as compared to the thermal conductivity results.Surface plots were used to study the interaction effect of significant parameters.The optimization procedure was performed using RSM.Foam density and cell wall thickness are effective parameters on the solid thermal conductivity whereas cell size and foam density were significant parameters on the thermal radiation.By decreasing foam density,gaseous thermal conductivity and thermal radiation were increased and solid thermal conductivity was reduced.The regression model predicted the overall thermal conductivity with an average error smaller than 3%.The results illuminated that the overall thermal conductivity in the optimum conditions was as small as 29 mW/mK. | HASANZADEH Rezgar AZDAST Taher DONIAVI Ali | 2020 | Journal of Thermal Science2020，29，1： | 3 |
| 4 | Microcellular Foaming of PVC/NBR Thermoplastic Elastomer显示文摘 | Kiumars Shakarami Ali Doniavi Taher Azdast KiumarsMohammadi Aghdam | 2013 | Materials and Manufacturing Processes2013，，8： | 1 |
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