Uniaxial Time-Dependent Ratcheting of SS304 Stainless Steel at High Temperatures

The uniaxial time-dependent strain cyclic behaviors and ratcheting of SS304 stainless steel were studied at high temperatures （350 ℃ and 700 ℃）. The effects of straining and stressing rates, holding time at the peak and/or valley of each cycle in addition to ambient temperature on the cyclic softening/hardening behavior and ratcheting of the material were discussed. It can be seen from experimental results that the material presents remarkable time dependence at 700 ℃, and the ratcheting strain depends greatly on the stressing rate, holding time and ambient temperature. Some significant conclusions are obtained, which are useful to build a constitutive model describiog the time-dependent cyclic deformation of the material.

SS304不锈钢在室温单轴循环加载下的时相关棘轮行为

对SS304不锈钢在室温单轴循环加载下的时相关棘轮行为和时相关应变循环特性进行了实验研究.讨论了材料在不同 加载速率,不同保持时间和不同加载波形下的循环软／硬化行为和棘轮行为特征.结果表明:即使在室温下, SS304不锈钢也表 现出明显的时相关效应;材料的循环变形行为,特别是棘轮行为明显地依赖于加载速率和保持时间以及加载波形的形状.研究得到 了一些有助于时相关循环变形行为本构描述的结论.

SS304不锈钢循环变形行为温度效应的实验研究

对SS304不锈钢进行了系统的室温、高温单轴和非比例多轴应变控制循环和应力控制循环行为的实验研究。重点讨论了温度变化对材料应变循环特性和棘轮行为的影响;同时也讨论了在同一温度、不同加载形式条件下材料的应变循环特性和循环棘轮行为特征。结果表明,SS304不锈钢的循环变形行为具有明显的温度效应,并且在400～600℃范围内,材料会体现出显著的动态应变时效特性。

SS304不锈钢高温非比例多轴加载下时相关循环变形行为的实验研究

在973K下,对SS304不锈钢多轴循环加载下的时相关应变循环特性和时相关棘轮行为进行了实验研究.揭示了材料在不同加载路径、不同加载速率以及不同保持时间下的循环软/硬化特性和棘轮变形行为.结果表明:在高温下,材料的循环软/硬化和棘轮变形均体现出明显的时相关效应,即其循环变形行为不仅强烈依赖于加载速率,而且还明显依赖于保持时间;另外,材料的变形行为在高温下也具有强烈的加载路径依赖性.研究得到了一些有助于后续建立时相关本构模型的结论.

SS304不锈钢室温非比例多轴时相关棘轮行为实验研究

在室温下,对SS304不锈钢非比例多轴循环加载下的时相关棘轮行为进行了实验研究。揭示了材料在不同加载速率、不同保持时间以及不同加载路径下的棘轮变形特性。结果显示:即使在室温下,棘轮变形也有明显的时相关效应,其棘轮行为不仅强烈依赖于加载速率而且还明显依赖于保持时间;此外,材料的棘轮行为还对加载路径有强烈的依赖性。

Parameter Optimization of Amalgamated Al2O3-40% TiO2 Atmospheric Plasma Spray Coating on SS304 Substrate Using TLBO Algorithm

SS304 is a commercial grade stainless steel which is used for various engineering applications like shafts, guides, jigs, fixtures, etc. Ceramic coating of the wear areas of such parts is a regular practice which significantly enhances the Mean Time Between Failure (MTBF). The final coating quality depends mainly on the coating thickness, surface roughness and hardness which ultimately decides the life. This paper presents an experimental study to effectively optimize the Atmospheric Plasma Spray (APS) process input parameters of Al2O3-40% TiO2 ceramic coatings to get the best quality of coating on commercial SS304 substrate. The experiments are conducted with a three-level L18 Orthogonal Array (OA) Design of Experiments (DoE). Critical input parameters considered are: spray nozzle distance, substrate rotating speed, current of the arc, carrier gas flow and coating powder flow rate. The surface roughness, coating thickness and hardness are considered as the output parameters. Mathematical models are generated using regression analysis for individual output parameters. The Analytic Hierarchy Process (AHP) method is applied to generate weights for the individual objective functions and a combined objective function is generated. An advanced optimization method, Teaching-Learning-Based Optimization algorithm (TLBO), is applied to the combined objective function to optimize the values of input parameters to get the best output parameters and confirmation tests are conducted based on that. The significant effects of spray parameters on surface roughness, coating thickness and coating hardness are studied in detail.

Influence of the preheated substrate temperature on the microstructure deposition behavior of the 304 stainless steel coatings deposited by cold gas dynamic spraying

The effects of the substrate temperature on the deposition and microstructure of the 304 stainless steel （SS） cold gas dynamic spraying （CGDS） coatings were investigated. It was found that the higher substrate temperature could increase the deposition rate of the 304 SS particles,even the oxide films existed at the interface. There was a critical oxide film with a thickness of 3 -4 um which could be destroyed by the impacted particles. The micro-hardness and microstructure of the 304 SS coatings under different substrate preheating temperatures were almost the same.

不锈钢在室温下非比例应力和应变循环变形行为实验研究

在室温下对304不锈钢进行了多种长短轴比的椭圆形、菱形等非比例循环加载路径下的应力与应变路径形状、路径的应力与应变幅值、平均应变及其加载历史的影响的系统实验.结果表明,材料的循环塑性行为强烈地依赖于应力与应变路径形状、路径的应力与应变幅值及其加载历史.

Fe和两种工业钢在500℃含氯气氛中ZnCl_2-KCl盐膜下的腐蚀

研究了纯Fe,NF616和SS304钢在500℃含氯气氛中ZnCl2-KCl盐膜下的腐蚀行为.结果表明,3种材料都发生了加速腐蚀,生成了较厚的氧化膜,且在氧化膜与基体金属之间出现了熔融状氯化物混合盐.此外,合金在此环境中的抗腐蚀性随其Cr含量的提高而显著提高,这是在腐蚀过程中氧化膜内层出现了Fe-Cr尖晶石或Cr2O3阻挡了金属离子快速向外扩散的结果.讨论了材料发生加速腐蚀的机制.

聚磁盘形状对磁粒研磨加工管件内表面的影响

目的提高磁粒研磨法加工管件内表面的质量及加工效率,探究磁粒研磨法中不同形状的聚磁盘对管件内表面的影响。方法利用Maxwell软件对轴向开槽聚磁盘与不开槽聚磁盘进行磁场强度模拟和磁感应线模拟,分析不同形状的聚磁盘的磁感应强度变化和磁场强度分布。利用磁粒研磨法对工件内表面进行研磨加工,对研磨之后的工件表面粗糙度进行测量,并对微观形貌进行观察。结果在磁粒研磨工具转速为500 r/min、加工时长为15 min的条件下,聚磁盘为未开槽时,表面粗糙度由原始的0.509μm降至0.127μm,表面粗糙度改善率(%ΔRa)为75.04%;当聚磁盘为轴向开槽时,工件表面粗糙度由原始的0.553μm降至0.097μm,工件的表面粗糙度改善率(%ΔRa)为82.45%。结论在相同的加工条件下,当聚磁盘轴向开槽时,相对于轴向不开槽的聚磁盘,磁粒研磨管件内表面的研磨效果更好,表面粗糙度改善率和研磨效率更高。

瓦形磁极对磁粒研磨加工管件内表面的影响

目的 提高磁粒研磨加工厚壁管内表面的表面质量与表面粗糙度改善率。方法 采用聚磁盘与瓦形磁极相配合的方式,通过仿真软件对不同数量的瓦形磁极与聚磁盘的多种组合进行模拟仿真,并分析其磁感应强度变化与磁力线分布。利用磁粒研磨法对管件内表面进行研磨试验验证,研磨后对工件表面粗糙度进行测量,并观察工件表面微观形貌。分析瓦型磁极数量、主轴转速以及磁性磨粒粒径对管件内壁表面质量的影响。结果 不设置瓦形磁极时,在主轴转速为600 r/min、磨粒粒径为185μm、研磨时间为15 min的条件下,管件内表面粗糙度由原始的0.42μm左右降低至0.14μm左右,表面粗糙度改善率为67.05%,表面质量有所改善。设置2个瓦形磁极时,在主轴转速、磨粒粒径、研磨时间与不设置瓦形磁极相同的条件下,管件内表面粗糙度从原始的0.42μm左右降低至0.09μm,表面粗糙度改善率为78.57%,表面缺陷被完全去除。结论 聚磁盘与瓦形磁极相配合的磁极排布方式,使得管件内外形成封闭磁回路,增大了加工区域的磁感应强度并改善了磁场分布,工件内表面的微裂纹、凹坑等表面缺陷基本被去除,获得良好的表面加工质量和较高的表面粗糙度改善率。

A damage-coupled multi-axial time-dependent low cycle fatigue failure model for SS304 stainless steel at high temperature

Based on the time-dependent strain cyclic characteristics and fatigue behaviors of SS304 stainless steel under multi-axial cyclic loading at 700 ？ C, and in the frame of unified visoco-plastic cyclic constitutive model and continuum damage mechanics theory, the damage-coupled multi-axial time-dependent constitutive model and fatigue failure model were proposed. In the model, the evolution equation of damage was introduced in and the time-dependent effects, e.g. holding time, loading rate, were taken into account. The model was applied to the simulation of whole-life cyclic deformation behaviors and prediction of LCF life for SS304 stainless steel in multiaxial time-dependent low cycle fatigue tests. It is shown that the simulated results agree well with experimental ones.

基于BP神经网络的激光焊接工艺参数优化及组织性能研究

采用6000W光纤激光器对1mm、2mm、4mm、6mm厚的SS304不锈钢进行激光焊接工作,同时结合BP神经网络与数据库技术,设计了一种基于BP神经网络的激光焊接工艺参数优化数据库系统,提高激光焊接工艺的精度和质量。BP网络训练次数达到5000次以上时,系统输出精度优于0.015mm,同时,焊接熔宽比与焊缝宽度的实测值与网络输出值最大误差分别为0.03mm与0.07mm,焊缝宏观形貌美观、微观组织金相优良,实现了高精度、高质量、高稳定度的设计目标。