基于Delphi7的机床液压系统故障诊断专家系统的开发

根据机床液压系统故障诊断的特点,以Delphi7和Access为开发工具,研究开发了机床液压系统故障诊断专家系统,该系统具有严密科学的推理机制、突出的自学习功能,能跟踪和记录推理过程并作出解释,可迅速准确地诊断出故障原因并提供相应的解决措施.     

机床导轨面缺陷修复技术的分析

通过对机床导轨面缺陷修复的几种传统焊补方法的介绍及对各种方法不同特点的分析,确定机床导轨面缺陷修复局限性的存在原因.同时,对一种新出现的铸造缺陷修复技术及其设备铸造缺陷修补机,进行了实践操作实验和试棒的显微组织分析,说明用铸造缺陷修补机修复机床导轨面缺陷是符合质检标准的,证明了缺陷修补机在铸件缺陷修复方面是值得推广的一项新技术.     

Mechatronic Systems for Machine Tools

This paper reviews current developments in mechatronic systems for metal cutting and forming machine tools. The integration of mechatronic modules to the machine tool and their interaction with manufacturing processes are presented. Sample mechatronic components for precision positioning and compensation of static, dynamic and thermal errors are presented as examples. The effect of modular integration of mechatronic system on the reconfigurability and reliability of the machine tools is discussed along with intervention strategies during machine tool operation. The performance and functionality aspects are discussed through active and passive intervention methods. A special emphasis was placed on active and passive damping of vibrations through piezo, magnetic and electro-hydraulic actuators. The modular integration of mechatronic components to the machine tool structure, electronic unit and CNC software system is presented. The paper concludes with the current research challenges required to expand the application of mechatronics in machine tools and manufacturing systems.     

Hybrid Model of High Speed Machining Centre Headstock

A hybrid high-speed machining centre headstock model based on two computation methods: the finite element method and the finite difference method is presented. The model allows one to calculate precisely the headstock's indices on the basis of which its optimal operating characteristics can be determined. The presented modelling methods allow one to evaluate a design from thermal, stiffness and durability points of view. By way of illustration, the behaviour of three machining centre headstocks with: an electrospindle on rolling bearings, a conventional spindle and an electrospindle on aerostatic bearings are modelled using the hybrid model.     

连续式拉拔机传动凸轮参数优化设计

根据凸轮机构在冶金设备连续拉拔机上作为运动和动力传动的应用 ,研究分析了拉拔机凸轮在设计制造等方面要达到的要求 ,运用优化方法确定了连续拉拔机的凸轮曲线参数 ,并附有计算实例。     

Algorithms to support point-based cadcam

This paper presents a system that supports a point-based approach to CADCAM that was first suggested by McLaughlin. The core to the approach is the ability to interpolate a grid of points in a geometrically meaningful way that does not suffer from the disadvantages of the standard interpolation schemes based on NURBS. The essential features of the approach are based on recursive subdivision between existing points to generate intermediate points that are consistent with a smooth curvature profile. There are many advantages to this approach. Time-consuming surface fitting is not necessary; there are no problems with ensuring continuity between surfaces; data exchange can be carried out exactly. By chosing to work entirely with points, all of the standard interrogations available in CAE systems, including visualisations, FE analysis and NC machining, which are dependent on NURBS curves and surfaces have to be replicated. The feasibility of the point-based approach is illustrated by showing how geometric interrogations and machine tool paths can be accurately generated using just points.     

机床模态特性的有限元分析

采用了ANSYS软件对机床模态特性进行了有限元分析。在有限元模型中引入了用户自定义单元来模拟结合面的刚度。重点分析了机床固定立柱和底座结合面的刚度对机床模态的影响，为机床的下一步设计提供了参考。     

方波信号发生器及场效应管驱动器

本文介绍方波信号发生器及场效应管驱动器的原理与设计。实验证明,设计的方波信号发生器与场效应管驱动器工作稳定可靠,所研制的方波交流高频弧焊电源已成功地对薄钢板进行了焊接。     

改装简易脉冲TIG焊机

介绍一种用普通直流氩弧焊机改装脉冲焊的装置,论述了各组成部分的基本原理。     

Data-based multiple-model prediction of the production rate for hematite ore beneficiation process

The prediction of the production rate of the hematite ore beneficiation process is important to plant-wide optimization. This paper presents a data-based multi-model approach to predict the production rate with multiple operating modes. The inputs of the predictive model are the performance indices of each unit process, and the output is the global production index (the production rate) of the hematite ore beneficiation process. The multiple models are developed by integrating the fuzzy clustering algorithm and machine learning algorithm. A global model, Takagi–Sugeno–Kang fuzzy model, and multiple neural network model were compared using the data obtained from a practical industrial process, and the effectiveness of the proposed algorithm was proven.