水泥生料细度在线监测系统的研制

生料细度是水泥低能耗与高效制备的关键参数之一。针对水泥生料细度在线测量,基于光脉动法(Light Transmission Fluctuation,LTF)研制了生料细度在线监测系统,并将该系统安装于生料气力输运管道等直段内,在线获得了气力输运过程中生料细度参数。此外,利用激光粒度仪与颗粒图像处理仪对取样样品进行粒度分析,与在线监测系统测量结果进行对比,结果表明:激光粒度仪平均粒径测量结果为9.647μm,颗粒图像处理仪测量结果为9.92μm;在线测量系统采样过程时间段测量结果平均值8.61μm,与两种测量方法结果相对偏差均在15%以内。由此可知,在线测量系统测量结果可为水泥生料细度的优化控制提供参考。     

重锤式料位计图象识别系统的应用与研究

设计出一种重锤式料位计,并提出一种基于图像识别技术的检测装置开发方案来改进重锤式料位计,该系统采用PLC系控制系统,通过工业摄像头、图像采集卡、图像识别等,实现了对重锤料位计到位信号的实时监控,可以准确测量料面高度,提高了其控制的可靠性和灵活性。实验结果表明,该系统性能可靠,为图象识别系统在工业生产中的应用提供了参考依据。     

基于图像处理的矿石粒度在线检测系统

针对钨矿石破碎领域中急需解决的粒度在线检测问题,以CCD摄像组件为检测元件获得矿石颗粒的图像,采用分水岭算法对颗粒图形进行分割,在提取并分析图形颗粒的相关信息的基础上,通过建立不同大小的检测算子对分割后的颗粒图像采用击中与击不中的分析与统计,得到被测矿石的粒度分布,采用MTALAB和LABVIEW的混合编程方式开发了粒度检测系统程序。实验对比表明,检测系统的分析结果与实际粒度分布情况具有较好的一致性,可以满足矿石颗粒的在线检测需要。     

基于网格模型的圆度在线检测系统开发

提出一种基于三角网格模型的圆度在线检测方法.根据圆柱的空间位置、分布的测点和测点的矢量来进行测量路径的设计.利用最小二乘法,计算圆柱测量截面的圆度误差.最后以CMM检测结果作为理想的标准,对圆度在线检测结果进行评估,结果得出该方法所带来的圆度误差非常小.     

CCD视觉检测系统的整体标定

为了实现粒度分析仪对复合肥粒度分布的准确检测,提出了CCD视觉检测系统的整体标定方法.首先,分析了检测系统的检测精度;对光源进行了伺服控制,以减小光源的不稳定性、不均匀性对视觉检测系统检测精度的影响.然后,确定CCD合适的扫描速度,还原了被检测物体的真实形状.最后,基于直纹曲面理论,通过对不同直径的钢球进行多次标定,获...     

智能制动器中的环境辩识系统

分析了车辆智能制动器中的环境辩识系统，分别讨论了微波雷达、毫米波雷达、激光扫描、超声波检测和图象识别系统的基本原理和特点，并进行了汇总比较。     

位移传感器测量系统在线误差分析与调试

通过多年来对磁栅、光栅、球栅等线位移传感器的安装、调试、维修以及对数显系统精度大量检测,总结出在静态(计量室)和在线(车间)条件下准确检测调整线位移传感器细分误差的方法。以SONY磁栅传感器为例进行分析。     

高精度氮化硅陶瓷球批量加工研磨工艺研究

为解决高精度氮化硅陶瓷球批量研磨加工的问题,将超精密研磨技术应用到氮化硅陶瓷球的加工实验中.开展了研磨过程的分析,建立了不同研磨阶段陶瓷球球度、表面质量及材料去除率与所选不同大小粒度磨料之间的关系,并提出了对比分析的方法,在通过专业设备检测的基础上对成品球球度、表面粗糙度和振动值进行了评价.研究结果表明,氮化硅陶瓷球能够批量生产且球度达到0.062μm以下,表面粗糙度达到1.48 nm以下,振动值达到24 dB以下,实现了批量生产G3级氮化硅陶瓷球的目的.     

微机控制水泥生料质量系统

由合肥水泥研究院开发的微机控制水泥生料质量系统,最近获国家计委、机电部等部门颁发的电子技术改造传统产业金奖。这套控制系统可对水泥生料的各种原料自动进行配方计     

基于激光三角法的圆度误差在线检测技术研究

提出了一种基于激光三角测距原理的圆度误差在线检测新方法。论述了检测系统的构成、测量原理和测量方法,讨论了主轴回转误差的分离,最后在普通车床上进行了实验验证,并用三坐标测量机作了对比测量,结果表明,两种测量方法的标准差均为0.75μm,两者间相对误差平均为4%。     

分布式控制系统在MTBE生产中的应用

介绍了分布式控制系统的结构和功能,并对MTBE的生产工艺的进行了分析。以原料供给量的控制为例,应用串级控制策略,引入变频调速技术和在线醇烯比测量技术,进行了系统的优化设计。     

Measurement and control technology of the size for large hot forgings

Aiming at the different characteristics and measurement requirements of large hot forgings, a size measurement and control method is proposed. For irregular forgings, a measurement model based on line laser scanning is first constructed and then a solution of the optical center motion trail on the basis of the chessboard reference plane is proposed. The motion trail is solved according to the feature point coordinates on the reference plane in different frames. The overall three-dimensional size is finally achieved by combining the measurement model with the optical center motion trail. In addition, for regular forgings, under the guidance of images obtained by CCD, the two-dimensional size can be achieved according to the displacement of the line laser along the rail. Moreover, the size control of the forgings can be realized by rolling reduction control and the working position location. The measuring method proposed is feasible according to the experimental results.     

磨粒粒径对蓝宝石研磨均匀性影响的试验研究

通过蓝宝石衬底的单面研磨试验研究,分析了W14和W3.5的B₄C磨粒研磨后蓝宝石表面的微观形貌和宏观形貌,W14的B₄C磨粒加工后蓝宝石表面微观裂纹密集且交错分布,体现了以滚轧和挤压为主的材料脆性去除作用,相同条件下,W3.5的B₄C磨粒加工的蓝宝石表面划痕均匀,表面无微观裂纹,实现了以切削为主的材料延性去除形式。测试分析结果表明：磨粒粒径的选择对蓝宝石的研磨表面状态具有重要影响,其选择准则除考虑要达到的粗糙度等级之外,还必须同时考虑与研磨盘的嵌入作用及其对加工表面状态的影响;W3.5的B₄C磨粒研磨加工后的蓝宝石表面宏观和微观均匀性良好,表面粗糙度、平面度等符合抛光前道工序的要求。     

船用水泥罐充压管路智能化设计

船用水泥罐充压系统能使散装物料保持絮状流动,为准确计量物料提供方便条件。对船用散装水泥罐充压系统管路结构改进设计,将充压管路进行树状分布,通过远程传感器对气室内的压力分布情况进行实时监测和调整,使絮状物料始终保持均匀流动状态,提高水泥罐的计量精确性。     

基于DSP的中药丸料湿度密度在线检测系统

设计与研制一种能在现代化中药制药生产线上在线连续测量中药丸料湿度与密度的微波检测系统。系统包括三个组成模块：微波信号源模块，微波谐振腔，数据处理模块。其中，微波谐振腔是专门设计用于中药丸料湿度与密度检测的中心开通孔的金属谐振腔，当中药丸料通过微波谐振腔的中孔时，丸料密度及湿度均令谐振腔的谐振频率产生偏移和功率衰减，数据处理模块据此计算中药丸料的湿度与密度。为提高检测精度，采用模糊聚类算法对实验数据进行分组，对金属谐振腔的频偏和功率衰减特性进行建模，并利用DSP设计并实现了中药丸料湿度与密度的在线检测。现场调试表明：该检测系统适宜于现代化中药制药生产线上的湿度连续在线测量，其检测精度达到93％以上。     

钻井船灰罐物料监测系统设计

由于海上风浪大,工况比较恶劣,钻井船在进行固井输灰时灰罐存在摇摆,灰罐物料重量监测极易出现较大偏差.该文通过对钻井船灰料监测系统的设计,采用双重测量机制,并细化了灰料体积计算公式,提高了测量精度.     

基于伺服系统的开卷自动线送料系统

介绍了基于伺服系统的开卷自动线送料系统的方案设计及送料系统的构成;同时还介绍了控制系统的组成、控制方式的设计和系统的工作过程.系统采用交流伺服调速和全闭环控制,大幅度提高了送料尺寸控制精度,同时使得操作调整实现了数字化控制.新设计的开卷自动线送料系统已成功地应用于生产实践,并且运行稳定,操作方便快捷,控制可靠,送料尺寸一直保持精确稳定.     

An Optimal Experimental-Monte Carlo Combined Model for Analyzing of the Cement Raw by Prompt Gamma Neutron Activation

Cement raw materials consist of some minerals that their amount affects the final cement properties. A continuous controlling system to check the constitutive elements is inevitable for cement industries. Prompt Gamma-Ray Neutron Activation Analyze is an applicable technique used to analyze the minerals percent online. Cement raw materials consist of some minerals that their amount affects the final cement properties. In this paper, an optimal experimental-Monte Carlo model is proposed to extract the amount of components in the test samples. Using this procedure, the percentage of the constitutive elements in the cement raw can be determined more easily and precisely. The acquired results from analysis of the cement samples using the proposed method revealed a good agreement with the results of X-ray fluorescence analysis.     

Measure dimension of rotating large hot steel shell using pulse laser on PRRR robot

During the industrial forging or rolling of hot steel shells, the raw material utilization ratio is very low because of the absence of precise on-line measurement instrument for the forging dimensions. In order to reduce the waste and increase the productivity, the pulse laser measuring instrument with dual PRRR mechanism has been developed in this study. The adjusting algorithm of rotary table based on the dual PRRR mechanism has been presented, which ensures that the scanning plane is perpendicular to the axis of cylinder shell. So the circle fitting can be adopted and the robust and accurate dimensions can be obtained rapidly by the present data-processing method. The measurement error of cold cylinder shell’s diameter is less than 3 mm. The measuring results of hot steel shells are also very accurate. The present system has been used in the rolling production of large hot steel shells, which enhances the raw material utilization ratio during the rolling.     

A Study of the Optimum Reheating Process for A356 Alloy in Semi-Solid Forging

Semi-solid forging (SSF) is compared with conventional casting such as gravity die-casting and squeeze casting. A product without inner defects can be obtained from semi-solid forming with a globular microstructure. Generally speaking, SSF is composed of reheating, forging and ejecting processes. In the reheating process, the materials are heated up to the temperature between the solidus and liquidus line at which the materials exists in the form of liquid–solid mixture. The process variables such as reheating time, reheating temperature, reheating holding time, and induction heating power have much effect on the quality of the reheated billets. It is difficult to consider all the variables at the same time to predict the quality. In this paper, Taguchi method, regression analysis, and neural network were applied to analyse the relationship between processing conditions and solid fractions. A356 alloy was used, and the learning data were extracted by the reheating experiments. The results of a neural network were in good agreement with experimental results. Polynominal regression analysis was formulated by using the test data from the neural network. An optimum processing condition was derived to minimise the grain size, solid fraction standard deviation, and to maximise the average specimen temperature. Consideration is given to the reheating process of the raw material and results are presented of appropriate process variables for correct solid fraction, specimen temperature, and grain size.