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13篇 您的检索式:作者名="Jilt Sietsma"
    题名 作者 年代 出处 被引量
1Electrochemistry during efficient copper recovery from complex electronic waste using ammonia based solutions显示文摘Zhi Sun Hongbin Cao Prakash Venkatesan Wei Jin Yanping Xiao Jilt Sietsma Yongxiang Yang 2017Frontiers of Chemical Science and Engineering2017,11,3:3
2Theγ-α Transformation Kinetics of Low Carbon Steels Under Ultra-Fast Cooling Conditions显示文摘Yvonne van Leeuwen Marcel Onink Jilt Sietsma 2001ISIJ International2001,41,9:1
3The influence of carbon diffusion on the character of the γ-α phase transformation in steel显示文摘Yvonne van Leeuwen Jilt Sietsma van der Zwaag 0,,05:1
4The Transformation Kinetics of Low Carbon Steels under Ultra-fast Cooling Conditions 显示文摘Yvonne Van Leeuwen Marcel Onink Jilt Sietsma 2001ISIJ International2001,41,9:1
5The influence of carbon diffusion on the character of the γ-α phase transformation in steel显示文摘Yvonne van Leeuwen Jilt Sietsma and Sybrand van der Zwaag 2003ISIJ Intemational2003,43,5:1
6The effect of geometrical assumptions in modeling solid-state transformation kinetics显示文摘Yvonne Leeuwen Simone Vooijs Jilt Sietsma Sybrand Zwaag 1998Metallurgical and Materials Transactions A1998,,12:1
7Three-dimensional analysis of microstructures in titanium显示文摘Hemant Sharma Stefan M.C. van Bohemen Roumen H. Petrov Jilt Sietsma 2009Acta Materialia2009,,7:1
8The combined influence of grain size distribution and dislocation density on hardness of interstitial free steel显示文摘Understanding the relationship between microstructure features and mechanical properties is of great significance for the improvement and specific adjustment of steel properties.The relationship between mean grain size and yield strength is established by the well-known Hall-Petch equation.But due to the complexity of the grain configuration within materials,considering only the mean value is unlikely to give a complete representation of the mechanical behavior.The classical Taylor equation is often used to account for the effect of dislocation density,but not thoroughly tested in combination with grain size influence.In the present study,systematic heat treatment routes and cold rolling followed by annealing are designed for interstitial free(IF)steel to achieve ferritic microstructures that not only vary in mean grain size,but also in grain size distribution and in dislocation density,a combination that is rarely studied in the literature.Optical microscopy is applied to determine the grain size distribution.The dislocation density is determined through XRD measurements.The hardness is analyzed on its relation with the mean grain size,as well as with the grain size distribution and the dislocation density.With the help of the variable selection tool LASSO,it is shown that dislocation density,mean grain size and kurtosis of grain size distribution are the three features which most strongly affect hardness of IF steel.Wei Li Martina Vittorietti Geurt Jongbloed Jilt Sietsma 2020Journal of Materials Science & Technology2020,42,10:1
9Ferrite formation in Fe-C alloys during austenite decomposition under non-equilibrium interface conditions显示文摘Gerben P. Krielaart Jilt Sietsma Sybrand van der Zwaag 1997Materials Science & Engineering A1997,,2:1
10Effect of niobium and grain boundary density on the fire resistance of Fe–C–Mn steel显示文摘E. G?zde Dere Hemant Sharma Roumen H. Petrov Jilt Sietsma S. Erik Offerman 2013Scripta Materialia2013,,8:1
11Physical Simulation of Thermally Induced Martensite Formation from Retained Austenite in TRIP Steels显示文摘The present work analyses the total free energy of the material during the martensitic transformation. A general expression for the martensite fraction as a function of temperature is derived, assuming that the nonchemical free energyis proportional to the volume of martensite. This expression indicates that the temperature-dependent martensitefraction can be predicted once the characteristic transformation temperatures and the relation between the chemicalfree energy and temperature of the martensite and austenite are known. An advantage of this development is thatthe proposed equation is valid for all types of relations between the chemical free energy and temperature. Thissimulation is successfully applied to the martensitic transformation upon further cooling of retained austenite in alow-alloyed TRIP steel, in which the relation between chemical free energy and temperature is quadratic and thefraction is determined from a thermo-magnetic measurement.Lie ZHAO Fred J. VERMOLEN Jilt SIETSMA Sybrand van der ZWAAG 2003Journal of Materials Science & Technology2003,19,z1:0
12Prediction of density and volume variation of hematite ore particles during in-flight melting and reduction显示文摘HIsarna is a promising ironmaking technology to reduce CO2 emission.Information of phase transformation is essential for reaction analysis of the cyclone reactor of the HIsarna process.In addition,data of density and volume of the ore particles are necessary for estimation of the residence time of the particles in the cyclone reactor.Phase transformation of iron ore particles was experimentally studied in a drop-tube furnace under simulated cyclone conditions and compared with thermodynamic calculation.During the pre-reduction process inside the reactor,the mineralogy of iron ore particles transforms sequentially from hematite to sub-oxides.The density changes of the particles during the melting and reduction can be predicted based on the phase composition and temperature.Therefore,density models in the studies were evaluated with reported experimental data of slag.As a result,a more reliable density model was developed to calculate the density of the formed slag containing mainly FeO–Fe2O3.The density and volume of the partially reduced ore particles or melt droplets were estimated based on this model.The results show that the density of the ore particles decreases by 15.1%at most along the progressive reduction process.Furthermore,the model results also indicate that heating,melting and reduction of the ore could lead to 6.63%–9.37%swelling of the particles,which is mostly contributed by thermal expansion.It would result in corresponding variation in velocity of the ore particles or melt droplets during the flight inside the reactor.Zhi-yuan Chen Ying-xia Qu Christiaan Zeilstra Jan Van Der Stel Jilt Sietsma Yong-xiang Yang 2019Journal of Iron and Steel Research(International)2019,26,12:0
13硅锰及加热速率对铁素体再结晶动力学的影响显示文摘本研究通过使用7种不同硅、锰含量的钢种,揭示了硅、锰成分和加热速率对铁素体再结晶动力学的影响,这与现代高强度钢渊AHSS冤的开发密切相关.通过原位二维X射线衍射渊2DXRD冤和非原位扫描电镜渊SEM冤微观组织观察,研究了再结晶动力学.实验观察到的再结晶起始温度渊Ts冤的差异与Si、Mn含量和加热速率有关,可用非等温JMAK模型和改进的Cahn溶质拖曳模型来描述.改进的Cahn模型近似地考虑了溶质原子与晶界之间的相互作用能,这种作用能依赖于晶界上的Si、Mn含量和Wagner相互作用参数.相对于参照钢种渊没有Si和只有少量Mn的钢种冤,Si、Mn原子对提高Ts的协同贡献高于Si、Mn浓度影响的简单叠加.这意味着,Si、Mn原子的相互作用,导致了Ts的额外上升,即耦合溶质拖曳效应.在再结晶的后期,我们用扫描电镜渊SEM冤研究了再结晶晶粒的数量密度变化和生长速率.观察揭示了再结晶晶粒的非随机形核、法线方向的晶粒早期撞击和非恒定生长速率.Vitesh SHAH Monika KRUGLA Sven Erik OFFERMAN Jilt SIETSMA David Neal HANLON 高长益(译) 叶雅妮(译) 张东升(译) 谢祥(译) 刘立德(译) 吴学林(译) 2020水钢科技2020,,3:0
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