大麻纤维的抗菌性及抗菌机制

1.Beijing University of Chemical Technology;Beijing 100029;China;2.Beijing Institute of Clothing Technology;Beijing 100029;China;3.The Quartermaster Research Institute of General Logistics Department of the CPLA;Beijing 100088;China     

The 16^th Beijing International Printing Information Conference was held successfully

Sponsored by Printing and Printing Equipment Industries Association of China （PEIAC） and organized by Print China Publishing Company Limited, the 16^th International Printing Information Conference （INFOPRINT 2013） was held successfully at China People＇s Palace, Beijing on 27 Nov. 2013, which was supported by Beijing Printing Association, Tianjin Printing Technology Association and Tianjin Packaging Technology Association.     

China Print 2009,A Successful Printing Exhibition

The 7th Beijing International Printing Technology Exhibition （China Print 2009） was held successfully during May 12 to 16, 2009 at the New China International Exhibition Center （NCIEC） in Beijing.     

Print China 2011 will be held ceremoniously in Guangdong

International Printing Technology Exhibition of Guangdong, China （Print China）, the companion show of Beijing International Printing Technology Exhibition （China Print）, is a quadrennial event established in 2007, which aims at the market of China, Southeast Asia, South Asia and Middle East.     

CHINA PRINT 2017 Opened to an Optimistic Industry

<正>On May 9,2017,the 9th Beijing International Printing Technology Exhibition(CHINA PRINT 2017)had its grand opening in New China International Exhibition Center(NCIEC)in Beijing.Yu zhen,Honorary Chairman of Printing and Printing Equipment Industries Association of China(PEIAC),Honorary Chairman of China Machinery Industry Federation and Member of Standing Committee of Chinese People's Political Consultative     

The Important Events of PEIAC

China Print CHINA PRINT, Beijing International Printing Technology Exhibition, is organized by PEIAC, Printing and Printing Equipment Industries Association of China, and CIEC Exhibition Company Limited. It has been held in Beijing once every four years since 1984. It is the biggest print show in China and a very     

The 7th Beijing International Printing Technology Exhibition （China Print 2009） was held successfully

The 7th Beijing International Printing Technology Exhibition （China Print 2009） was held successfully during May 12- 16, 2009 at the New China Interna- tional Exhibition Center （NCIEC） in Beijing. China Print 2009 is sponsored by Printing and Printing Equip- ment Industries Association of China （PEIAC） and China International Exhibition Center Group Corpo- ration （CIEC）. It is organized by China Print Show Company.     

Fraffic solution for China Print 2009

China Print 2009, the Seventh Beijing International Printing Technology Exhibition, will be held during May 12-16, 2009 at the New China International Exhibition Center （NCIEC） in Beijing. As the largest printing exhi- bition in Asia, China Print 2009 will attract over 1,000 exhibitors from all over the world and occupy a total show area of 120,000 square meters. 160,000 visitors from home and abroad are expected to visit the event.     

Important Activities during China Print 2009

China Print 2009, the Seventh Beijing International Printing Technology Exhibition, will be held from May 12^th to 16^th, 2009 at the New China International Exhibition Center. Now the total show area of China Print 2009 has reached 110000 square meters and over 30 seminars and symposiums will be held at that time.     

INFOPRINT 2011 Held Successfully in Beijing

Sponsored by Printing and Printing Equipment Industries Association of China(PEIAC), undertaken by PRINT CHINA Publishing Company Limited, and assisted by Beijing Printing Association, Tianjin Printing Technology Association and TianJin Packaging     

基于经验模态分解和离散小波能量特征的地毯织机噪声源识别

为识别和定位地毯织机主要噪声源,提出一种基于经验模态分解（EMD）和离散小波能量特征的地毯织机噪声源识别方法。首先应用EMD 对地毯织机噪声信号进行分解,获得若干本征模态分量,根据互相关系数剔除虚假分量并重构信号;其次使用ab 20小波对重构信号进行离散小波变换,分解得到各小波分量并计算各分量的能量 占比;然后提取能量占比较大的分量,分析其时频特性;最后采用激光测振仪依次测量地毯织机各主要部件的振动信号,对比分析得到主要噪声源所在位置,从而完成识别。研究结果表明,该方法可有效地识别和定位地毯织机主要噪声源。     

小波分析在纸机压榨部轴承故障诊断中的应用

针对纸机压榨部滚动轴承尺寸大响应弱、运转速度低、低频信号容易淹没、调制源多、振动信号非平稳性等特点而导致常规的傅立叶分析诊断故障效果不佳的情况，提出了一种应用小波变换的时频分析方法，对振动信号进行分解和重构处理，获得了振动信号在不同的频段的分量，提取相应特征频段重构分量的功率谱的频域统计值作为特征参数。从而实现对轴承故障诊断。试验结果显示该方法对纸机压榨部故障诊断有很好的效果。     

干切混凝土时金刚石锯片振动及噪声的研究

干切混凝土时,金刚石锯片在实际工作过程中产生的振动和噪声是非常严重的。文章从理论上分析了混凝土锯切过程中的强振动、高噪音的原因。通过改变锯切速度、进给速度、切深以及通过采用两种不同的基体结构的锯片,研究了不同的切削参数以及锯片的结构对锯片振动和噪声的影响。在不同的锯切工艺参数和锯片结构下,测量了噪声值、噪声功率、噪声电压、振动功率和振动幅值,并对其进行频谱分析。可以从锯片的基体结构、金刚石节块的结构、锯切工艺以及锯机的整体性能等方面来进行改进,从而达到降低噪声与振动的目的。本文在理论分析和实验的基础上提出了一些降低噪声和振动的方法。     

基于快速自适应经验模态分解的高速经编机振动分析

针对某型高速经编机在高转速下结构振动过大以及机构运动信号与结构振动信号相混叠,故障特征难以分离的问题,提出基于快速自适应经验模态分解(FAEMD)算法的经编机振动故障诊断方法。首先运用FAEMD算法将原始振动信号分解成有限个本征模态函数(IMF),然后计算各IMF分量与原信号的相关性,结合经编机运动特点,判断其中相关性最大的本征模态函数为机构运动分量并去除,最后将剩余分量重组实现结构振动信号的提取。将该方法应用于经编机振动故障诊断中,对动态振动数据进行处理,结合静态固有频率测试,成功提取出与实际故障现象相同的信号频率特征,判断出经编机在高转速下振动过大的原因,为后续经编机振动优化提供了参考。     

降低JSFA288型精梳机噪声及振动的研究

为降低JSFA288型精梳机噪声及振动,运用MATLAB编程设计对该精梳机分离罗拉传动系统进行运动模拟,分析了噪声、振动产生的原因并对分离罗拉传动系统进行了优化设计,并将优化前后的传动机构进行了装机对比试验.结果表明:优化后的分离罗拉传动机构噪声和振动较小,车速为350钳次/min时,整机噪声降低4.5 dB,振动减小20.8%,且车速越高效果越明显;有利于改进梳理质量、提高车速,改善车间工作环境.     

验钞机模态分析及噪声控制研究

采用模态分析，振动噪声测试及数据分析技术研究了验钞机噪声超标的问题，采取正确的噪声控制措施，达到了预期的效果。     

供水管道系统噪声控制的研究

针对供水管道系统的噪声问题,建立模拟供水泵房管道系统的实验模型,对管系的噪声、振动信号进行采集和处理,运用功率谱和声振相干方法分析了管道振动的原因;采用工作模态分析方法对实验管道结构进行了模态分析,得到了管系的固有频率和振型等参数;利用谐响应分析技术得到了管系在激振下的响应情况;提出相应改造措施,取得了良好的减振降噪效果。结合理论和实验结果,系统地总结了管道系统减振降噪的控制措施,提出设计管系应遵循的原则。     

基于LabVIEW的磨球机振动信号分析系统

轴承球的精度在轴承中起着至关重要的作用,为了得到高精度的轴承球,需要实时监测磨球机的加工状态,而振动信号是反映轴承球研磨状态的重要参数。文中介绍基于LabVIEW平台磨球机振动信号采集、分析处理系统。该数据采集分析系统是由LabVIEW,加速度传感器和数据采集卡组成,该系统能够采集并分析磨球机研磨轴承球时产生的振动信号,从而实现对轴承球的加工精度的实时监测。     

基于LMS公司Signature Testing的工程机械机外辐射噪声的六点测量

本文分析了工程机械噪声产生的主要因素,介绍了工程机械机外辐射噪声的限值和适用范围,工程机械机外辐射噪声测试场地和测试环境的要求、机器的状态和定位的要求,测试点的布置和测试仪器的选择,阐述了工程机械等效连续A声级声学测量理论。最后以反铲挖掘机为例,利用比利时LMS公司生产的Signature Testing噪声和振动测试系统对反铲挖掘机的动态试验机外辐射噪声进行测量并确定测量结果。     

印刷机规矩测试信号分析

为了了解印刷机规矩的动态特性,建立了规矩实验装置。通过对前规、侧规及前规矩板的加速度信号和整机噪声信号分析得知,前规、侧规及规矩板的振动对机器噪声的贡献很小,但会影响到其工作的稳定性和工作寿命。通过对测试信号曲线分析发现,规矩部件对150-300Hz的激励信号的响应比对其他频率信号高3-10倍。