共查询到20条相似文献,搜索用时 109 毫秒
1.
入世后我国铸造业发展前景及需采取的重要对策 总被引:5,自引:0,他引:5
中国已加入世界贸易组织(WTO),国内的铸造企业直接面对激烈的国际市场竞争,并面临新的挑战和机遇。本文叙述了国内铸造业综合情况、近些年国内铸造行业进出口发展情况,结合我国铸造行业的发展状况,较为系统地分析了入世后对我国铸造业的影响并提出了应对措施以供参考。 相似文献
2.
3.
中小型汽车发动机缸体、缸盖常见缺陷与对策 总被引:4,自引:1,他引:3
结合我国铸造行业现有生产条件,分析中小型乘用车发动机灰铸铁缸体、缸盖铸件生产中常见铸造缺陷的产生原因,并提出了解决这些缺陷的措施。 相似文献
4.
5.
6.
变铸造大国为铸造强国——我国铸造行业实现可持续发展的途径 总被引:5,自引:0,他引:5
本文从市场经济、知识经济、法制经济、深化改革、产业结构调整等多方面的周边环境影响。分析了世纪之交我国铸造行业面临的挑战与机遇。通过与工业发达国家铸造生产的各种指标对比,说明我国已跨入铸造大国行列,但距离实现优质、高效、低耗、清洁、高附加值的集约化铸造生产目标,还有相当大的差距,提出了铸造强国的概念,并结合我国国情,提出了铸造强国的10茂标志和指标,提出了我国铸造行业由大变强的发展思路和途径。 相似文献
7.
8.
《铸造纵横》2006,(10):48-48
《铸造纵横》杂志是我国铸造行业最具实用性、影响力的行业月刊之一。自1992年创刊以来,一直深受众多读者的关心和厚爱。为了更好地为铸造行业提供服务,加强行业内部之间交流与合作,提高铸造企业参与国际竞争的能力,促进我国铸造行业的技术创新进步、铸造生产水平与工艺发展,扩大我国铸造行业国际的影响,为此,《铸造纵横》月刊希望中国铸造协会各分会、专业委和工作委、各地方铸造行业协会、国内铸造企业、科研院所的广大工程技术人员和从事铸造工作有关的人士,踊跃投稿,内容可介绍铸造领域新技术、新工艺、新产品生产及管理方面工作经验、铸造信息化动态以及对中国铸造协会工作的意见和建议。欢迎铸造界同仁们踊跃参与到《铸造纵横》的发展中来,为中国铸造行业美好的明天而共同奋斗。 相似文献
9.
《铸造纵横》2006,(5):47-47
《铸造纵横》杂志是我国铸造行业最具实用性、影响力的行业月刊之一。自1992年创刊以来,一直深受众多读者的关心和厚爱。为了更好地为铸造行业提供服务,加强行业内部之间交流与合作,提高铸造企业参与国际竞争的能力,促进我国铸造行业的技术创新进步、铸造生产水平与工艺发展,扩大我国铸造行业国际的影响,为此,《铸造纵横》月刊希望中国铸造协会各分会、专业委和工作委、各地方铸造行业协会、国内铸造企业、科研院所的广大工程技术人员和从事铸造工作有关的人士,踊跃投稿,内容可介绍铸造领域新技术、新工艺、新产品生产及管理方面工作经验、铸造信息化动态以及对中国铸造协会工作的意见和建议。欢迎铸造界同仁们踊跃参与到《铸造纵横》的发展中来,为中国铸造行业美好的明天而共同奋斗。 相似文献
10.
李荣德 《特种铸造及有色合金》2005,25(12):I0010
《特种铸造及有色合金》杂志什随着我国铸造行业的发展走过了25个春秋,见证了铸造行业发展的风风雨雨,也为铸造行业不断走向辉煌起到了重要作用。今天,《特种铸造及有色合金》迎来了创刊25周年的重要日子,这也是我们铸造工作者的节日,在此谨表示真诚的祝贺。 相似文献
11.
基于神经网络的直流无刷电机控制系统 总被引:1,自引:0,他引:1
提出了一种直流无刷电动机的N-PI转速调节器的设计方法.在直流无刷电动机的高性能速度跟踪中,若仅采用传统的PI调节器,则难以克服系统超调和短时振荡问题.采用复合N-PI的控制方法,利用神经网络的自学习自适应功能在线调整PI控制参数.文中提出了一种模型参考自适应与神经网络相结合的控制策略,利用在线辨识技术,对参数变化实时补偿,及时修正神经网络权值的计算.最后,在Matlab/Simulink下进行了仿真,结果表明,运用这种设计方法很好地抑制了超调和振荡. 相似文献
12.
13.
海洋生物污损与材料腐蚀 总被引:5,自引:0,他引:5
郑纪勇 《中国腐蚀与防护学报》2010,(2)
总结近年来海洋生物污损和材料腐蚀相关的研究进展,综述了海洋生物污损和材料表面腐蚀的关系。分别阐述了微观生物污损与材料表面腐蚀的相关性,宏观生物污损与材料表面腐蚀的相关性,分析两者或促进或抑制的机理。最后提出了需要进一步探讨的问题。 相似文献
14.
15.
本文阐述了X5032的变频调速改造方案,介绍了如何通过PLC来控制变频调速的频率和其他复杂顺序加工程序.重点说明了利用BPTS系列变频器对该机床主轴的调速改造过程,最后给出了改造后机床运行的性能状况. 相似文献
16.
J. Sun G.S. Hong Y.S. Wong M. Rahman Z.G. Wang 《International Journal of Machine Tools and Manufacture》2006,46(2):218-224
When neural networks (NNs) are used to identify tool conditions, the richness and size of training data are crucial. The training data set not only has to cover a wide range of cutting conditions, but also to capture the characteristics of the tool wear process. This data set imposes significant computing burdens, results in a complex identification model, and hampers the feasible application of NNs. In this paper, a training data selection method is proposed, and a systematic procedure is provided to perform this data selection. With this method, the generalization error surface is divided into three regions, and proper sampling factors are chosen for each region to prune the data points from the original training set. The quality of the training set is estimated by performance evaluation through decision making. In this work, SVM is used in the decision making method, and the generalization error is used as the performance evaluation criterion. The tradeoff between the generalization performance and the size of the training set is key to this selection. Experimental results have demonstrated that this selection strategy provides an effective and efficient training set, and the developed model based on this set is fast and reliable for tool condition identification. 相似文献
17.
18.
The linear inverse problem for energy beam processing, in which a desired etched profile is known and a trajectory of the beam that will create it must be found, is studied in this paper. As an example, abrasive waterjet machining (AWJM) is considered here supported by extensive experimental investigations. The behaviour of this process can be described using a linear model when the angle between the jet and the surface is approximately constant during the process, as occurs for shallow etched profiles. The inverse problem is usually solved by simply controlling dwell time in proportion to the required depth of milling, without considering whether the target surface can actually be etched. To address this, a Fourier analysis Is used to show that high frequency components in the target surface cannot be etched due to the geometry of the jet and the dynamics of the machine. In this paper, this frequency domain analysis is used to improve the choice of the target profile in such a way that it can be etched. The dynamics of the machine also have a large influence on the actual movement of the jet. It is very difficult to describe this effect because the controller of the machine is usually unknown. A simple approximation is used for the choice of the slope of a step profile. The tracking error between the desired trajectory and the real one is reduced and the etched profile is improved. Several experimental tests are presented to show the usefulness of this approach. Finally, the limitations of the linear model are studied. 相似文献
19.
虚拟机床加工系统的组件化设计 总被引:1,自引:1,他引:1
虚拟机床加工系统的组件化设计使我们建立了一个多总线的、并行的虚拟系统。这个系统能够完成虚拟加工,实现优化加工工艺,预计和检测加工质量的目标。本文对该系统体系结构的一些基本问题进行了研究。由于运用了组件技术,使系统的开放性、可扩展性可强,结构更另灵活。并使虚拟机床加工系统与其他虚拟系统以及CAD/CAM系统、制造网络上加工地之间的协作更加默契。同时也为今后工作的开展奠定了良好和基础。 相似文献
20.
Twelve years of research on metal dusting at the Max‐Planck‐Institut for Iron Research have led to comprehensive knowledge on the mechanisms and kinetics of metal dusting and on ways and means for prevention of this corrosion phenomenon, – this knowledge is shortly summarized in this paper. Inspite of this state of understanding, the present opinion in industry is that metal dusting is mysterious and not predictable and cannot be controlled. This paper is intended to show that the occurrence of metal dusting and its reasons can be well understood, by describing and explaining five failure cases. 相似文献