For Gu-Ag alloy, an important parameter called workability in the forming process of materials can be evaluated by processing maps yielded from the stress-strain data generated by hot compression tests at temperatures...For Gu-Ag alloy, an important parameter called workability in the forming process of materials can be evaluated by processing maps yielded from the stress-strain data generated by hot compression tests at temperatures of 700-850 °C and strain rates of 0.01-10 s-1. And at the true strain of 0.15, 0.35 and 0.55, respectively, the responses of strain-rate sensitivity, power dissipation efficiency and instability parameter to temperature and strain rate were studied. Instability maps and power dissipation maps were superimposed to form processing maps, which reveal the determinate regions where individual metallurgical processes occur and the limiting conditions of flow instability regions. Furthermore, the optimal processing parameters for bulk metal working are identified clearly by the processing maps.展开更多
针对农机制造企业在制品(Work-in-process,WIP)生产过程信息采集时效性差,车间生产计划执行情况无法及时跟踪反馈的问题,在对农机车间生产现状研究分析后,提出了农机在制品生产过程实时信息跟踪反馈策略,通过无线射频识别(Radio Frequen...针对农机制造企业在制品(Work-in-process,WIP)生产过程信息采集时效性差,车间生产计划执行情况无法及时跟踪反馈的问题,在对农机车间生产现状研究分析后,提出了农机在制品生产过程实时信息跟踪反馈策略,通过无线射频识别(Radio Frequency Identification,RFID)车间信息采集方案、可重构BOM结构及在制品物流信息采集模型,实现了农机车间生产计划分解,WIP实时状态跟踪、生产进度查询等功能。研究内容为生产管理部门进行实时生产计划重排,为物资供应中心计算物料需求计划提供了准确的实时反馈数据,最后进行了软件系统的开发,并在某农机企业得到良好的应用。展开更多
Conventional feature description methods have large errors in froth features due to the fact that the image during the zinc flotation process of froth flotation is dynamic,and the existing image features rarely have t...Conventional feature description methods have large errors in froth features due to the fact that the image during the zinc flotation process of froth flotation is dynamic,and the existing image features rarely have time series information.Based on the conventional froth size distribution characteristics,this paper proposes a size trend core feature(STCF)considering the froth size distribution,i.e.,a feature centered on the time series of the froth size distribution.The core features of the trend are extracted,the inter-frame change factor and the inter-frame stability factor are given and two calculation methods of the feature factors are proposed.Meanwhile,the STCF feature algorithm was established based on the core features by adding the inter-frame change factor and the inter-frame stability factor.Finally,a flotation condition recognition model based on BP neural network was established.The experiments show that the recognition model has achieved excellent results,proving that the method proposed effectively overcomes the limitation of the lack of dynamic information in the existing traditional size distribution features and the introduction of the two factors can improve the classification accuracy to varying degrees.展开更多
基金Project(CSTC2009BA4065) supported by the Chongqing Natural Science Foundation,China
文摘For Gu-Ag alloy, an important parameter called workability in the forming process of materials can be evaluated by processing maps yielded from the stress-strain data generated by hot compression tests at temperatures of 700-850 °C and strain rates of 0.01-10 s-1. And at the true strain of 0.15, 0.35 and 0.55, respectively, the responses of strain-rate sensitivity, power dissipation efficiency and instability parameter to temperature and strain rate were studied. Instability maps and power dissipation maps were superimposed to form processing maps, which reveal the determinate regions where individual metallurgical processes occur and the limiting conditions of flow instability regions. Furthermore, the optimal processing parameters for bulk metal working are identified clearly by the processing maps.
文摘针对农机制造企业在制品(Work-in-process,WIP)生产过程信息采集时效性差,车间生产计划执行情况无法及时跟踪反馈的问题,在对农机车间生产现状研究分析后,提出了农机在制品生产过程实时信息跟踪反馈策略,通过无线射频识别(Radio Frequency Identification,RFID)车间信息采集方案、可重构BOM结构及在制品物流信息采集模型,实现了农机车间生产计划分解,WIP实时状态跟踪、生产进度查询等功能。研究内容为生产管理部门进行实时生产计划重排,为物资供应中心计算物料需求计划提供了准确的实时反馈数据,最后进行了软件系统的开发,并在某农机企业得到良好的应用。
基金Project(U1701261)supported by the National Science Foundation of China,Guangdong Joint Fund of Key ProjectsProject(61771492)supported by the National Natural Science Foundation of ChinaProject(2018GK4016)supported by Hunan Province Strategic Emerging Industry Science and Technology Research and Major Science and Technology Achievement Transformation Project,China。
文摘Conventional feature description methods have large errors in froth features due to the fact that the image during the zinc flotation process of froth flotation is dynamic,and the existing image features rarely have time series information.Based on the conventional froth size distribution characteristics,this paper proposes a size trend core feature(STCF)considering the froth size distribution,i.e.,a feature centered on the time series of the froth size distribution.The core features of the trend are extracted,the inter-frame change factor and the inter-frame stability factor are given and two calculation methods of the feature factors are proposed.Meanwhile,the STCF feature algorithm was established based on the core features by adding the inter-frame change factor and the inter-frame stability factor.Finally,a flotation condition recognition model based on BP neural network was established.The experiments show that the recognition model has achieved excellent results,proving that the method proposed effectively overcomes the limitation of the lack of dynamic information in the existing traditional size distribution features and the introduction of the two factors can improve the classification accuracy to varying degrees.
