非PVC膜软袋大输液自动生产线

山东新华医疗器械股份有限公司新近研发具有自主知识产权的非PVC软袋大输液自动生产线,其是集非PVC膜软袋的制袋灌封、软袋的自动输送、灭菌车的自动拆盘、软袋的自动装盘、灭菌车的自动叠盘、灭菌车的自动输送、灭菌器自动运行以及灭菌后的自动卸袋、自动干燥等一系列工艺流程为一体,也是最新一代的自动化产品。     

汽车自动变速箱的发展现状及其技术趋势

自动变速箱是现代汽车的关键总成之一。对液力自动变速箱、电控机械式自动变速箱、无级自动变速箱以及双离合器自动变速箱的发展现状进行了研究,分析了这四种自动变速箱目前存在的优势和劣势,并在此基础上对这四种类型自动变速箱的技术发展趋势进行了展望。液力自动变速箱将向多速化、轻量化、低噪声等方向发展,电控机械式自动变速箱将向高可靠性、协调化控制等方向发展,无级自动变速箱将向高扭矩传递能力、高传递效率等方向发展,双离合器自动变速箱将向高换挡性能、完善控制技术等方向发展。     

IBC桶双工位自动灌装线控制系统设计及应用

本文介绍一种IBC桶双工位自动灌装线控制系统,具有空桶自动输送、自动定位、自动拧盖、自动灌装、自动紧盖、重桶自动输送等功能,运用了PLC控制、电机控制、气动技术、高精度称重仪表、传感器、触摸屏等重要技术。极大地提高了IBC桶灌装的自动化程度及生产效率,有效降低了人工劳动强度。     

非PVC膜软袋大输液自动生产线

山东新华医疗器械股份有限公司新近研发具有自主知识产权的非PVC软袋大输液自动生产线,集非PVC膜软袋的制袋灌封、软袋的自动输送、灭菌车的自动拆盘、软袋的自动装盘、灭菌车的自动叠盘、灭菌车的自动输送、灭菌器自动运行以及灭菌后的自动卸袋、自动干燥等一系列工艺流程为一体。该系统在大输液生产企业的投放使用,不仅大大降低企业的劳动力,而且提高了企业的自动化水平。     

经轴自动上落系统的设计与研究

经轴自动上落系统由自动拍合机构和自动转运装置组成,针对经轴特殊的结构、形状、尺寸、质量,设计了经轴专用自动上落装置,由桥式起重机纵向行走机构、旋转机构以及升降机构实现经轴的自动运转要求,再由自动拍合机构实现经轴自动装夹。该装置完全能够实现经轴自动上落的工艺要求,降低了工人劳动强度,提高了浆纱生产效率。     

焊换向器铜片自动机的研究与实现

换向器的零部件太小,人工安装效率不高,为了提高效率,采用PLC+气缸机械手等技术手段,根据安装工序的特点,设计胶芯自动抓取、铜片自动送料安装、介子自动送料安装、自动流水线,组合而成一台自动焊换向器铜片机来代替人工安装,实现自动送料、自动检测、自动安装,提高了生产效率和生产质量,降低生产成本。     

基于施耐德Twido PLC的自动称重包装机的控制

采用PLC对自动称重包装机进行控制,能实现自动送料、自动称重下料、自动装袋、自动计数等控制功能,并给出了完整的控制程序。控制系统启动平稳,性能稳定可靠,故障率低,具有很好的实用价值。     

转让法国雪铁龙轿车连杆生产线

我公司于1996年从法国雪铁龙公司引进轿车连杆生产线一条,该生产线具有国际先进水平,自动化程度较高。整条生产线包括各种设备、仪器25台套,其中四头磨床2台、自动钻小头机床1台、自动立式拉床1台、自动卧式拉床1台、自动铣床1台、自动钻孔拉床1台、自动钻心轴线床1台、双面自动半精镗床1台、双头倒压机1台、清洗机2台、双面自动镗床1台、双头珩磨机1台、连杆重量分组仪一套、自动铣瓦口机1台、小镗床自动铣床1台、清磁器2台、自动钻油孔机床5台、拉刀磨床1台,目前我公司欲对外转让此生产线并寻求战略合作伙伴,有意者请与我公司联系。     

基于PMAC的工业CT自动送样控制系统的设计

介绍了有别于传统CT和自动机器人系统的智能送样系统,可以实现自动CT采集系统,自动取样、自动样品对中、自动检测、自动放样,满足测试的任务要求。将测试人员从繁琐的测试操作中解放出来。     

鼓式刹车片加工自动生产线的设计与实现

主要介绍了一种鼓式刹车片加工自动生产线的设计方案和实现过程,在现有机械加工工艺和加工设备的基础上,研究自动化生产技术方案,设计一系列自动化设备,以实现行自动上料,真空吸附、自动导正、自动旋转对位、自动翻转和自动收料等动作,从而实现了整个生产工艺的自动化加工过程.     

生料球粒度在线检测方法研究

水泥窑生料球粒度大小对水泥质量具有直接影响,目前尚无生料球粒度在线检测手段。本文基于计算机图象识别技术,提出一种在线测定生料球粒度的新方法,解决了料球图象识别的关键问题——料球的边缘检测。并以此组成生料球粒度在线检测系统,其输出可作为现有生料球预加水控制系统的反馈信号,以便实现闭环控制。对比实验表明,系统给出的粒度分布及平均粒度与实际粒度分布及平均粒度基本吻合。     

基于余料的五金零件排样系统研究与开发

对基于余料的五金零件排样系统进行了研究。设计了AutoCAD与系统之间的接口,用来识别和编写DXF格式文件。在导入余料和零件DXF文件的基础上,进行基于包络矩形的半自动优化排样,之后,利用交互式排样模块作交互式修改,显示排样结果,输出排样DXF文件。系统对中小型五金零件加工企业具有一定的实用价值。     

联合储库用自动运行物料搬运系统

对联合储库用自动运行物料搬运系统进行了概述,概述联合储库的存储方式,主要介绍了自动运行物料搬运系统的组成和功能,简单介绍了系统的应用情况。联合储库用自动运行物料搬运系统,采用新式机械构造设计、新型自动控制系统,使联合储库用物料搬运系统自动化程度有了质的提高,不同于普通的物料搬运系统,自动运行物料搬运系统主要在于能够结合厂内其他设备,根据运行指令自动运行,大大减少了操作人员数量,降低了操作人员成本,提高了物料搬运系统自动化水平,推动工厂自动化发展。     

Neural network modeling and analysis of the material removal process during laser machining

To manufacture parts with nano- or micro-scale geometry using laser machining, it is essential to have a thorough understanding of the material removal process in order to control the system behaviour. At present, the operator must use trial-and-error methods to set the process control parameters related to the laser beam, motion system, and work piece material. In addition, dynamic characteristics of the process that cannot be controlled by the operator such as power density fluctuations, intensity distribution within the laser beam, and thermal effects can significantly influence the machining process and the quality of part geometry. This paper describes how a multi-layered neural network can be used to model the nonlinear laser micro-machining process in an effort to predict the level of pulse energy needed to create a dent or crater with the desired depth and diameter. Laser pulses of different energy levels are impinged on the surface of several test materials in order to investigate the effect of pulse energy on the resulting crater geometry and the volume of material removed. The experimentally acquired data is used to train and test the neural network's performance. The key system inputs for the process model are mean depth and mean diameter of the crater, and the system outputs are pulse energy, variance of depth and variance of diameter. This study demonstrates that the proposed neural network approach can predict the behaviour of the material removal process during laser machining to a high degree of accuracy.     

Strain energy release maximization model for evolution of recrystallization textures

In 1995, the author advanced a model for the evolution of recrystallization texture, in which the absolute maximum internal stress direction due to dislocations generated during deformation or fabrication in the deformed material is aligned with the minimum Young's modulus direction in recrystallized grains, whereby the energy release during recrystallization can be maximized. This comes from the fact that the material concerned does not macroscopically change its shape and volume during recrystallization, and so the recrystallization is a displacement-controlled process. This strain energy release maximization model originates from the presumption that the stored energy due to dislocations is the major driving force for the recrystallization. The absolute maximum internal stress direction may be obtained from the operating slip systems, which are related to the deformation mode and texture. If one slip system is activated, the absolute maximum normal stress direction is parallel to the slip direction, or the Burgers vector direction. If more than one slip system is activated, the absolute maximum normal stress direction can be determined by the vector sum of related slip directions, by taking into account their contribution to slip. This paper reviews recrystallization textures of plastically deformed metals, based on the SERM model.     

基于电感式传感器的金属颗粒材质识别及粒径估计

传统的电感式颗粒传感器输出的是电感或电压幅值的脉冲信号,本质为标量信号。可通过脉冲信号的正负性区分金属颗粒是磁性或非磁性,且只能在已知颗粒材质的情况下估计颗粒的粒径。但在含有多种金属颗粒的油液中,基于标量信号的颗粒识别方法将失效。为此,本文采用了一种双锁相放大电路,将颗粒产生的复数域信号转化为一对直流信号。提出一种基于模糊隶属度函数的信号处理方法,实现了在噪音干扰下多种颗粒的材质识别和粒径估计。本文搭建了三线圈传感器实验系统。利用五种金属颗粒构建了隶属度函数,并进行系统标定。最后选取两种颗粒对标定后的系统进行了验证。结果表明系统对颗粒材质的识别准确,粒径估计误差小于2%。     

A resource-oriented tolerance representation scheme for the planning of robotic machine tending operations in automated manufacturing systems

In this paper, we define a representation for tolerances associated with robotic machine tending operations. The intent of the representation and analysis presented in the paper is to assess whether a robotic material handler is capable of holding the accuracies required for loading and unloading a machine. This representation and analysis, therefore, provides the basis of a process planning system for robotic operations. This representation is critical for flexible and automated manufacturing because it enables automatic planning of unload and load operations from and to machining centers that are required for discrete part manufacturing. Planners can use this representation along with the specified tolerance criteria to conservatively assess if a given robot resource is capable of using a specific gripper to unload or load a given part from a given fixture on a machining center. For a new part, this assessment allows an automatic material handling operations planner to determine if reconfiguration or procurement of resources is required for the material handing of the new part or if simple reprogramming of the robot and machine resources is sufficient. Also, this representation helps providing flexibility to the manufacturing system control software in the case of the addition of a new machine to the manufacturing system. In this case, the new resource data would be input into the resource model, and the decision on the machine tending operations (loading or unloading) would be carried out in the same manner. This representation was tested successfully using an automatic operations planner at The Pennsylvania State University’s Factory for Advanced Manufacturing Education (FAME) lab.     

基于RFID和传感器网络的在运物资可视化系统

分析了现有的基于RFID技术的在运物资可视化系统存在的不足,综合无线传感器网络技术与RFID技术的优点,提出了一种基于无线传感器网络与RFID的新型在运物资可视化系统.阐述了系统的组成结构和工作原理,并详细介绍了系统的软硬件设计与实现.该系统适用性较高,对于运输重要物资或危险品的车辆,能够实现对物资信息和车辆上重要数据的实时监测、校准、记录和传输等功能.     

Quantification of axonally transported material using cytofluorimetric scanning

This paper describes in detail a cytofluorimetric scanning technique used for studying amounts of material axonally transported in antero- and retrograde direction in peripheral nerves. Operating procedures, preparation of tissues and instrumental set-up are described. The basis for quantification of material in a nerve section treated for immunofluorescence is discussed. The reliability of the method has been tested by comparing results with biochemical data. There are several advantages of the technique. (1) Many different substances can be studied in one single nerve segment, thus reducing biological variation and costs. (2) Both morphological data and quantitative figures can be obtained; following scanning the section can be photographed. (3) The method can also be used on studies in the central nervous system and on tissue cultures, since it is possible to scan on single axons or bundles of fibres.     

基于海洋环境的水下液压系统密封技术研究

水下液压系统没有在水下作业设备中得到广泛应用,主要原因是在海水环境的液压元件与常规液压元件相比,无论是在材料选择、设计方法上,还是在结构原理、加工要求上都有较大差别,这是因为海水的自身压力对液压系统的渗透改变了传统的密封与润滑观念。而通过采取密封措施和压力补偿后,以液压油为工作介质的水下液压系统可以在不同海水深度下作业。介绍了基于海洋环境的水下液压系统密封技术。