凹圆弧球头铣刀新型刃口的主干模型

以提高加工精度及降低产品成本为目的,针对回转刀具传统刃口设计在二轴联动数控加工中遇到的设计与制造方面的难题,在新型刃口设计原理下,对数控加工凹圆弧球头螺旋铣刀的主要环节的关键问题进行了探讨,并推导出了凹圆弧球头铣刀相应的新型刃口曲线方程和轴向与径向进给速度函数.     

南京地铁岩土工程勘察中的问题及改进

针对南京地铁1号线、2号线施工中出现的地质问题,从地铁工程的特点和施工方法出发,分析地铁勘察与日常地面建筑勘察的差异,指出地铁勘察中存在的不足和容易忽视的几个基本问题,提出解决这些问题的对应措施和完善地铁勘察的建议。     

神经网络在船舶主柴油机建模中的应用

该文研究用BP神经网络建立船舶主柴油机模型的方法,并对BP算法进行了改进,提出了一种动态优化学习率的方法,对6L80MC柴油机实际数据用BP网络进行计算的结果表明,该算法能有效地建立船舶主柴油机模型。该模型已成功用于船舶主机遥控仿真系统中。     

海事强制令之法律程序

在第10期上,我们探讨了海事强制令的法律属性.海事强制令作为一项突破我国民事诉讼法"财产保全"理论的"行为保全"法律制度,其所具有的理论意义不言而喻.同时,海事强制令对于保护海事请求人的合法海事权益,维护我国海上营运秩序,促进我国航运事业发展具有重要的实践意义.     

带整流负载同步发电机稳定性研究

采用将带整流负载同步发电机中各变量的d、q轴低频分量和高频分量分别加以处理的方法,得出了带整流负载三相同步发电机的等效电路模型,以及小扰动条件下三相同步发电机整流系统的稳定条件,并通过试验加以验证,得到了阻尼绕组不能改善带整流负载同步发电机系统运行稳定性的结论。     

Magnetic field tuning characteristics of bimodal ultrasonic motor stator

The magnetic field tuning characteristics of an ultrasonic motor (USM) stator are discussed. The stator consists of two piezoelectric ceramic transducer (PZT) plates and one sandwiched-in Terfenol-D plate. The dimensions of the stator are carefully adjusted to specifically discuss the influence of the magnetic field on the frequency difference between the longitudinal and bending modes of the stator. The frequency difference discussed in this paper is usually small and mainly caused by uneven materials, machining errors and changes in external conditions (temperature, pre-stress or load). The longitudinal and bending modes of the stator are simultaneously excited by an external electric field to generate the elliptic motion trajectories of the driving points. A direct current (DC) magnetic field is applied to decrease the difference between the two mode frequencies of the fabricated stator. In experiments, the dependences of the two mode frequencies and their difference on DC magnetic fields are all investigated. The experimental results indicate that the difference between the longitudinal and bending mode frequencies of the PZT/Terfenol-D/PZT composite stator can be tuned by changing the intensity of the external DC magnetic field.     

Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.     

Approximate method for reliability assessment of complex phased mission systems

Phased-mission systems (PMSs) have wide applications in engineering practices, such as manmade satellites. Certain critical parts in the system, such as cold standby, hot standby and functional standby, are designed in redundancy architecture to achieve high reliability performance. State-space models such as Markov process have been used extensively in previous studies for reliability evaluation of PMSs with dynamic behaviors. The most popular way to deal with the dynamic behaviors is Markov process, but it is well known that Markov process is limited to exponential distribution. In practice, however, the lifetime of most machinery products can follow non-exponential distributions like the Weibull distribution which cannot be handled by the Markov process. In order to solve this kind of problem, we present a semi-Markov model combined with an approximation algorithm to analyze PMS reliability subjected to non-exponential failures. Furthermore, the accuracy of the approximation algorithm is investigated by comparing to an accurate solution, and a typical PMS (attitude and orbit control system) is analyzed to demonstrate the implementation of the method.     

Design of car battery protection device based on torsion spring

In recent years, electric vehicles are developing rapidly in automotive industry. When involved in accidents, if the batteries of electric cars break, it is likely to cause a short circuit and start a fire. Aimed at this issue, a car battery protection device based on torsion spring has been designed. The car battery protection device can deform in a particular pattern in a collision accident. Impact energy of the accident is absorbed by the deformation, which can significantly reduce impact force on the batteries. Meanwhile, based on the principle of maximum energy absorption, some crucial parameters of the device can be determined. Furthermore, an impact simulation conducted on ANSYS software shows that maximum safety factors can be obtained when the material of car battery protection device is carbon steel. The analysis of “safe space” in the car battery protection device shows that the device can prevent battery damage effectively in general circumstances, which means the reliability of the device has been verified. Therefore, when applied to electric vehicles, the car battery protection device, which can prevent secondary accidents, significantly improves the vehicle security in accidents.     

Gain and noise figure analysis of Er<Superscript>3+</Superscript>-doped YAG transparent ceramic microchip amplifier

The rate equations and the power evolution equations based on excited state absorption (ESA) and cooperative upconversion (CUC) of high concentration erbium-doped yttrium aluminum garnet (YAG) transparent ceramic waveguide amplifier are set up to analyze the effects of the pump power, active ion concentration and waveguide length on the amplifier gain and noise figure (NF). The numerical analysis predicts that with a pump power of 100mW, an active ion concentration of 1.0×10²⁶ ion/m³ and a waveguide length of 3 cm, a small-signal gain of 30 dB and an NF of 5 dB can be achieved in the micro-chip amplifier.