多物理场耦合活化烧结技术(Micro-FAST)作为一种电场辅助烧结的快速成型技术,是一种有效的微型零件制造方法。采用多物理场耦合活化烧结技术,将WC-8Co-xTi-nC(x=4,n=2 or x=6,n=0)粉末分别在25、50、75、100℃/s的升温速率下烧结,制备...多物理场耦合活化烧结技术(Micro-FAST)作为一种电场辅助烧结的快速成型技术,是一种有效的微型零件制造方法。采用多物理场耦合活化烧结技术,将WC-8Co-xTi-nC(x=4,n=2 or x=6,n=0)粉末分别在25、50、75、100℃/s的升温速率下烧结,制备出尺寸为准φ4 mm×4 mm的WC-TiC-Co微型圆柱硬质合金;并对WC-TiC-Co硬质合金的相对密度、硬度和显微组织进行研究。结果表明:当温度为1200℃、加热速率为50℃/s、压力为75 MPa、保温时间为12 min时,制备得到的WC-8Co-6Ti试样的力学性能好。展开更多
This paper develops a fast filtering algorithm based on vibration systems theory and neural information exchange approach. The characters, including the derivation process and parameter analysis, are discussed and the...This paper develops a fast filtering algorithm based on vibration systems theory and neural information exchange approach. The characters, including the derivation process and parameter analysis, are discussed and the feasibility and the effectiveness are testified by the filtering performance compared with various filtering methods, such as the fast wavelet transform algorithm, the particle filtering method and our previously developed single degree of freedom vibration system filtering algorithm, according to simulation and practical approaches. Meanwhile, the comparisons indicate that a significant advantage of the proposed fast filtering algorithm is its extremely fast filtering speed with good filtering perfi^rmance. Further, the developed fast filtering algorithm is applied to the navigation and positioning system of the micro motion robot, which is a high real-time requirement for the signals preprocessing. Then, the preprocessing data is used to estimate the heading angle error and the attitude angle error of the micro motion robot. The estimation experiments illustrate the high practicality of the proposed fast filtering algorithm.展开更多
基金Project supported by the National Natural Science Foundation of China(Grant Nos.60901074,51075092,61005076,and 61175107)the National High Technology Research and Development Program of China(Grant No.2007AA042105)the Natural Science Foundation of Heilongjiang Province,China(Grant No.E200903)
文摘This paper develops a fast filtering algorithm based on vibration systems theory and neural information exchange approach. The characters, including the derivation process and parameter analysis, are discussed and the feasibility and the effectiveness are testified by the filtering performance compared with various filtering methods, such as the fast wavelet transform algorithm, the particle filtering method and our previously developed single degree of freedom vibration system filtering algorithm, according to simulation and practical approaches. Meanwhile, the comparisons indicate that a significant advantage of the proposed fast filtering algorithm is its extremely fast filtering speed with good filtering perfi^rmance. Further, the developed fast filtering algorithm is applied to the navigation and positioning system of the micro motion robot, which is a high real-time requirement for the signals preprocessing. Then, the preprocessing data is used to estimate the heading angle error and the attitude angle error of the micro motion robot. The estimation experiments illustrate the high practicality of the proposed fast filtering algorithm.
