高NiFe比W-Ni-Fe系重合金预应变时效研究

研究预应变时效高NiFe比(91)钨合金的性能及粘结相中β相的沉淀行为。结果表明,随时效时间增加,预变形钨合金的抗拉强度和伸长率均显著提高,在800℃24h达到峰值。预变形高NiFe比钨合金的时效强化由粘结相中β相的弥散沉淀引起,预变形可以促进高NiFe比钨合金粘结相中β相的时效沉淀,使合金进一步强韧化。预变形高NiFe比(91)钨合金粘结相在预应变时效过程中的性能(硬度)变化存在两种机制,一种是回复引起的软化机制,另一种是细小弥散的β相沉淀引起的硬化机制,粘结相和合金整体的性能(硬度)变化是两种机制综合作用的结果。

低钨含量W-Ni-Fe三元合金的预应变时效

研究了钨含量为36%,Ni与Fe质量比为7/3和9/1的两种W Ni Fe三元合金的预应变时效硬度变化规律,用X射线衍射鉴定了时效后两种合金的物相组成,并用透射电镜观察其微观结构。结果表明:Ni与Fe质量比为7/3的W Ni Fe三元合金在800℃下进行预应变时效时,硬度随时间增加而单调降低;相同条件下Ni与Fe质量比为9/1的W Ni Fe三元合金时效初期硬度下降,但随时间延长硬度又逐步提高。X射线衍射物相鉴定和透射电子显微分析发现:Ni与Fe质量比为7/3的合金在预应变时效过程中没有明显沉淀析出物,其时效硬度下降是固溶度降低、残余应力消除以及回复与再结晶的结果;而Ni与Fe质量比为9/1的合金经预应变时效后析出了细小弥散的β相,其硬度变化存在两种机制,一种是固溶度降低、残余应力消除和回复与再结晶引起软化,另一种是细小β相沉淀析出导致弥散强化。

Influence of pre-deformation on age-hardening response and mechanical properties of extruded Mg-6%Zn-1%Mn alloy

The effect of cold plastic deformation between solution treatment and artificial aging on the age-hardening response and mechanical properties of alloy was investigated by micro-hardness test,tensile test,optical microscopy（OM） and TEM observation.After solution treatment at 420 ℃ for 1 h,three kinds of pre-deformation strains,i.e.0,5% and 10%,were applied to extruded ZM61 bars.Age-hardening curves show that pre-deformation can significantly accelerate the precipitation kinetics and increase peak-hardness value;however,as pre-deformation strain rises from 5% to 10%,there is no gain in peak hardness value.The room temperature（RT） tensile properties demonstrate that increasing the pre-deformation degree can enhance the yield strength（YS） and ultimate tensile strength（UTS） but moderately reduce elongation（EL）;furthermore,the enhancement of YS is larger than that of UTS.No twin can be observed in 5% pre-deformed microstructure;however,a large number of twins are activated after 10% pre-deformation.The peak-aged TEM microstructure shows that pre-deformation can increase the number density of rod-shaped β 1 ＇ precipitates which play a key role in strengthening ZM61 alloy.

Volatility forecasting in Chinese nonferrous metals futures market

This paper seeks to model and forecast the Chinese nonferrous metals futures market volatility and allows new insights into the time-varying volatility of realized volatility and leverage effects using high-frequency data.The LHAR-CJ model is extended and the empirical research on copper and aluminum futures in Shanghai Futures Exchange suggests the dynamic dependencies and time-varying volatility of realized volatility,which are captured by long memory HAR-GARCH model.Besides,the findings also show the significant weekly leverage effects in Chinese nonferrous metals futures market volatility.Finally,in-sample and out-of-sample forecasts are investigated,and the results show that the LHAR-CJ-G model,considering time-varyingvolatility of realized volatility and leverage effects,effectively improves the explanatory power as well as out-of sample predictive performance.