排序方式： 共有16条查询结果，搜索用时 0 毫秒
11.
管理学网络课程的设计与开发 总被引：3，自引：0，他引：3
网络课程的设计与开展是现代远程教育资源建设的核心和基础，也是能否真正实现远程教学的关键，本文提出了基于建构学习模式的管理学网络课程的设计与开发过程，系统地阐述了网络的组织形式，体系结构以及设计开发路线，方法，运行环境及功能特点等，从而形成了比较完整的网络课程的解决方案。 相似文献
12.
A unity transformation model (UTM) was presented for flexible NC machining of spiral bevel gears and hypoid gears. The model can support various machining methods for Gleason spiral bevel gears and hypoid gears, including generation machining and formation machining for wheel or pinion on a universal five-axis machining center, and then directly produce NC codes for the selected machining method. Wheel machining and pinion machining under UTM were simulated in Vericut 6.0 and tested on a five-axis machining... 相似文献
13.
基于模型设计方法是一种高效的嵌入式控制系统设计新方法,该方法应用了建模、仿真、自动代码生成、测试验证等作为支持技术。采用Matlab/Simulink软件作为基于模型的设计平台,以MCU为核心的运动控制板及直角坐标运动机构作为验证平台,构建了实验环境。开发了支持自动代码生成的Simulink模块库,含有AD、DA、编码器、通用输入、通用输出等接口。利用Simulink实现图形化的建模与仿真,使用Simulink coder自动生成控制代码,下载到运动控制板上进行实验验证。开发了数据采集和传输库函数,用于上传实验数据供进一步分析。实验表明,基于模型的设计方法使运动控制理论与实验无缝连接,能够快速构建起实验控制系统,有利于培养学生的工程实践和创新能力。 相似文献
14.
Electro-Discharge Fine Truing of Metal-Bonded Fine-Grain Diamond Wheel Based on Real-Time Monitoring 总被引：2，自引：0，他引：2
A data acquisition system based on LabVlEW is designed and implemented, and electrodischarge(ED) fine truing of metal-bonded fine-grain diamond wheel based on real-time monitoring is researched. Real-time monitoring not only makes efficient impulse specification of ED truing easily obtained, but also is good for timely identifying no-load, avoiding short circuit and arc discharge phenomena and then for obtaining normal machining state. ED fine truing of the fine-grain wheel includes two steps: rough truing for high efficiency and fine truing for high precision. Final ED truing precision and efficiency not only depend on electric process specification, but also is concerned with electrode shape, insulated performance of operating fluid and vertical feed quantity value and frequency. Experiments indicate that ED fine truing based on real-time monitoring can improve the truing precision and efficiency. Average machining efficiency of W10 wheel is about 0.95μm/min； the final run-out by ED truing is less than 2μm. 相似文献
15.
It is difficult to collect the prior information for small-sample machinery products when their reliability is assessed by using Bayes method. In this study, an improved Bayes method with gradient reliability (GR) results as prior information was proposed to solve the problem. A certain type of heavy NC boring and milling machine was considered as the research subject, and its reliability model was established on the basis of its functional and structural characteristics and working principle. According to the stress-intensity interference theory and the reliability model theory, the GR results of the host machine and its key components were obtained. Then the GR results were deemed as prior information to estimate the probabilistic reliability (PR) of the spindle box, the column and the host machine in the present method. The comparative studies demonstrated that the improved Bayes method was applicable in the reliability assessment of heavy NC machine tools. 相似文献
16.
The mathematical modeling for evaluation of the sphericity error is proposed with minimum radial separation center. To obtain the minimum sphericity error from the form data, a geometric approximation technique was devised. The technique regarded the least square sphere center as the initial center of the concentric spheres containing all measurement points, and then the center was moved gradually to reduce the radial separation till the minimum radial separation center was got where the constructed concentric spheres conformed to the minimum zone condition. The method was modeled firstly, then the geometric approximation process was analyzed, and finally,the software for data processing was programmed. As evaluation example, five steel balls were measured and the measurement data were processed with the developed program. The average iteration times of the approximation technique is 4.2, and on average the obtained sphericity error is 0. 529μm smaller than the least square solution,with accuracy increased by 7. 696%. 相似文献