在精炼进站时采用BaCO_(3)作为示踪剂,对比钢包底吹氩气流量对“120 t BOF→LF→CCM”流程生产的冷镦钢SWRCH35K中DS类夹杂物的影响。结果表明,氩气流量对精炼结束炉渣成分及夹杂物的类型无明显影响;精炼进站到精炼结束采用小氩气和正...在精炼进站时采用BaCO_(3)作为示踪剂,对比钢包底吹氩气流量对“120 t BOF→LF→CCM”流程生产的冷镦钢SWRCH35K中DS类夹杂物的影响。结果表明,氩气流量对精炼结束炉渣成分及夹杂物的类型无明显影响;精炼进站到精炼结束采用小氩气和正常氩气搅拌夹杂物密度分别降低4.5个/mm^(2)和7.1个/mm^(2),精炼结束到中包两种工艺夹杂物变化相差不大,精炼正常氩气搅拌精炼结束、软吹后、中包含Ba的夹杂物比例比小氩气搅拌分别高51.5%、26.1%、39.3%。铸坯中DS夹杂物组成有单相、两相和三相。精炼采用小氩气搅拌和正常氩气搅拌铸坯中检测到含Ba的DS夹杂物占所有DS夹杂物的比例分别为28.6%和39%。所以,控制精炼过程中冶炼的氩气搅拌强度也是控制钢中DS夹杂物的关键。展开更多
This study presents the design of a modified attributed control chart based on a double sampling(DS)np chart applied in combination with generalized multiple dependent state(GMDS)sampling to monitor the mean life of t...This study presents the design of a modified attributed control chart based on a double sampling(DS)np chart applied in combination with generalized multiple dependent state(GMDS)sampling to monitor the mean life of the product based on the time truncated life test employing theWeibull distribution.The control chart developed supports the examination of the mean lifespan variation for a particular product in the process of manufacturing.Three control limit levels are used:the warning control limit,inner control limit,and outer control limit.Together,they enhance the capability for variation detection.A genetic algorithm can be used for optimization during the in-control process,whereby the optimal parameters can be established for the proposed control chart.The control chart performance is assessed using the average run length,while the influence of the model parameters upon the control chart solution is assessed via sensitivity analysis based on an orthogonal experimental design withmultiple linear regression.A comparative study was conducted based on the out-of-control average run length,in which the developed control chart offered greater sensitivity in the detection of process shifts while making use of smaller samples on average than is the case for existing control charts.Finally,to exhibit the utility of the developed control chart,this paper presents its application using simulated data with parameters drawn from the real set of data.展开更多
针对任务风险难度量、评估信息不确定性强等问题,提出一种Z-number和改进DS证据理论的风险评估方法。利用Z-number方法描述评估指标,得到各风险等级的初始基本概率分配(basic probability assignment,BPA);基于信度熵和皮尔逊相关系数改...针对任务风险难度量、评估信息不确定性强等问题,提出一种Z-number和改进DS证据理论的风险评估方法。利用Z-number方法描述评估指标,得到各风险等级的初始基本概率分配(basic probability assignment,BPA);基于信度熵和皮尔逊相关系数改进DS证据理论克服悖论问题进行信息融合,确定风险的最终等级;接着,基于信息融合结果引入Joussleme距离求解专家可信度。最后,以重装空投任务为例,验证本文所提风险评估方法的合理性,并对比分析不同改进DS证据理论方法得到的结果,验证所提方法的有效性和准确性。展开更多
文摘在精炼进站时采用BaCO_(3)作为示踪剂,对比钢包底吹氩气流量对“120 t BOF→LF→CCM”流程生产的冷镦钢SWRCH35K中DS类夹杂物的影响。结果表明,氩气流量对精炼结束炉渣成分及夹杂物的类型无明显影响;精炼进站到精炼结束采用小氩气和正常氩气搅拌夹杂物密度分别降低4.5个/mm^(2)和7.1个/mm^(2),精炼结束到中包两种工艺夹杂物变化相差不大,精炼正常氩气搅拌精炼结束、软吹后、中包含Ba的夹杂物比例比小氩气搅拌分别高51.5%、26.1%、39.3%。铸坯中DS夹杂物组成有单相、两相和三相。精炼采用小氩气搅拌和正常氩气搅拌铸坯中检测到含Ba的DS夹杂物占所有DS夹杂物的比例分别为28.6%和39%。所以,控制精炼过程中冶炼的氩气搅拌强度也是控制钢中DS夹杂物的关键。
基金the Science,Research and Innovation Promotion Funding(TSRI)(Grant No.FRB660012/0168)managed under Rajamangala University of Technology Thanyaburi(FRB66E0646O.4).
文摘This study presents the design of a modified attributed control chart based on a double sampling(DS)np chart applied in combination with generalized multiple dependent state(GMDS)sampling to monitor the mean life of the product based on the time truncated life test employing theWeibull distribution.The control chart developed supports the examination of the mean lifespan variation for a particular product in the process of manufacturing.Three control limit levels are used:the warning control limit,inner control limit,and outer control limit.Together,they enhance the capability for variation detection.A genetic algorithm can be used for optimization during the in-control process,whereby the optimal parameters can be established for the proposed control chart.The control chart performance is assessed using the average run length,while the influence of the model parameters upon the control chart solution is assessed via sensitivity analysis based on an orthogonal experimental design withmultiple linear regression.A comparative study was conducted based on the out-of-control average run length,in which the developed control chart offered greater sensitivity in the detection of process shifts while making use of smaller samples on average than is the case for existing control charts.Finally,to exhibit the utility of the developed control chart,this paper presents its application using simulated data with parameters drawn from the real set of data.
文摘针对任务风险难度量、评估信息不确定性强等问题,提出一种Z-number和改进DS证据理论的风险评估方法。利用Z-number方法描述评估指标,得到各风险等级的初始基本概率分配(basic probability assignment,BPA);基于信度熵和皮尔逊相关系数改进DS证据理论克服悖论问题进行信息融合,确定风险的最终等级;接着,基于信息融合结果引入Joussleme距离求解专家可信度。最后,以重装空投任务为例,验证本文所提风险评估方法的合理性,并对比分析不同改进DS证据理论方法得到的结果,验证所提方法的有效性和准确性。
