Based on the Internet technology and artificial int el ligence (AI) technology, this paper presents a dispersed press process knowledge bases based multi-reasoning press process decision system (DKB-MRPPD). The di spe...Based on the Internet technology and artificial int el ligence (AI) technology, this paper presents a dispersed press process knowledge bases based multi-reasoning press process decision system (DKB-MRPPD). The di spersed press process knowledge bases have been organized into case bases and ru le bases, which may be located at different enterprises, and employed to plan pr ess process by a multi-reasoning engine made up of the ART1, case reasoning and rule-based reasoning net. The architecture model of DKB-MRPPD has been put fo rward. The idea and some key technologies for implementing the system have been also discussed in this paper. For easily access the distributed knowledge bases, a Federated knowledge bases System (FKBS) implemented by means of JDBC and CORB A is put forward.展开更多
The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control...The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control in parameters of forming process, the paper explored the humanoid based intelligence control strategy. In the paper, it made the anatomy in control puzzle resulted in uncertainty such as chemical component of plastic cement etc., summarized up the characteristic of cybernetics in forming process, researched on the humanoid based intelligence control strategy, and constructed the control algorithm of forming process in plastic cement work-piece. Taking the process experiment of temperature and pressure control as an example, it validated the good dynamic and static control quality through simulation of control algorithm constructed in this paper. The experimental results show that the control algorithm explored in this paper is reasonably available.展开更多
文摘Based on the Internet technology and artificial int el ligence (AI) technology, this paper presents a dispersed press process knowledge bases based multi-reasoning press process decision system (DKB-MRPPD). The di spersed press process knowledge bases have been organized into case bases and ru le bases, which may be located at different enterprises, and employed to plan pr ess process by a multi-reasoning engine made up of the ART1, case reasoning and rule-based reasoning net. The architecture model of DKB-MRPPD has been put fo rward. The idea and some key technologies for implementing the system have been also discussed in this paper. For easily access the distributed knowledge bases, a Federated knowledge bases System (FKBS) implemented by means of JDBC and CORB A is put forward.
文摘The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control in parameters of forming process, the paper explored the humanoid based intelligence control strategy. In the paper, it made the anatomy in control puzzle resulted in uncertainty such as chemical component of plastic cement etc., summarized up the characteristic of cybernetics in forming process, researched on the humanoid based intelligence control strategy, and constructed the control algorithm of forming process in plastic cement work-piece. Taking the process experiment of temperature and pressure control as an example, it validated the good dynamic and static control quality through simulation of control algorithm constructed in this paper. The experimental results show that the control algorithm explored in this paper is reasonably available.
文摘碳纤维混杂增强复合材料由于具有重量轻、可设计性强等诸多优点,广泛用于汽车、海洋、航空航天等行业.根据固化剂与环氧树脂的配比化学原理,计算出石墨烯-碳纤维混杂增强树脂基(GO-CF/EP)复合材料的最佳配比为1∶5,并采用真空浸渗热压成型工艺(VIHPS)制备1∶2~1∶7共六个配比的试样,结合形状记忆性能测试及微观形貌的观察,得到固化剂与环氧树脂实际最佳配比.实验结果表明,GO-CF/EP复合材料性能主要取决于体系中交联度的大小,交联度越大,复合材料的形状记忆性能越好,微观组织形貌也较理想.当基体配比为1∶5时,GO-CF/EP复合材料体系中交联度最大,微观形貌呈现均匀致密的状态,形状固定率最大,为95.90%;形状回复率最大,为95.40%;形状回复时间最短,为80.30 s;形状回复力最大,为9.48 N.当基体配比为1∶2或1∶7时,固化剂过量或不足,交联度较小,微观组织形貌中有大量的基体聚集区,其形状记忆性能下降,形状固定率及回复率也相应减小,分别为82.99%,81.66%,81.91%,78.75%;形状回复力分别只有5.20 N和5.50 N.
