数控线切割自动编程系统中的图像矢量化技术

将图像矢量化技术用于数控线切割自动编程系统 ,可提高编程的灵活性和智能化水平。利用VISUALC ++6 0开发工具 ,选取量佳处理流程和处理算法而形成的数控线切割自动编程系统图像矢量化模块 ,在实际的线切割加工中展现了良好的应用前景     

数控线切割自动编系统中的图像矢量化技术

将图像矢量化技术用于数控线切割自动编程系统,可提高编程的灵活性和智能化水平。利用VISUALC＋＋6.0开发工具,选取最佳处理流程和处理算法而形成的数控线切割自动编程系统图像矢量化模块,在实际的线切割加工中展现了良好的应用前景。     

线切割自动编程中刀补方向的确定方法

为了提高线切割自动编程系统的自动化程度,减少操作步骤,根据生成线切割刀补轨迹所需设定的工艺参数与加工条件,提出了一种可以自动判断刀补方向的方法,自动编程系统应用该方法后无需人工设定刀补方向,可有效提高编程效率,避免人为出错。     

基于ARX的线切割自动编程及加工仿真系统

简要介绍ARX（AutoCADruntimeextention）开发平台的程序环境以及ARX与MFC混合编程方法,着重阐述基于ARX开发平台的线切割自动编程及加工仿真系统的构建原理与实现方法,并给出了利用所开发完成的软件进行线切割自动编程的实例。     

在CAXA线切割软件下实现二轴平面数控铣削

本人结合实际工作在CAXA线切割微机自动编程软件下实现两轴平面或两轴半平面加工数控加工程序的自动编程方面作了一些探索，CAXA线切割机床数控编程软件是建立在CAD平台——“CAXA电子图板”的基础上，再加上相关的线切割部分，它具有丰富完备的CAD功能，软件用图形交互方式进行线切割编程，是一个面向线切割加工行业的计算机辅助自动编程工具软件，为线切割加工数据编程提供了功能强大、直观、方便、快捷的轨迹生成手段，并且通过DXF接口，不管用户的数据来自何方，均可轻易实现数据转换，完成加工程序的自动编程，生成加工代码，真正实现了所见即所得。     

线切割穿丝孔自动编程研究与实现

穿丝孔的选择和加工直接影响线切割的加工质量与效率,针对目前的自动编程软件缺少穿丝孔自动编程功能,本文介绍了穿丝孔的自动编程开发与应用。根据线切割零件加工图纸,通过高级语言编程读取图形信息,结合穿丝孔工艺位置要求计算出孔心坐标值,经人机交互界面输入加工穿丝孔的工艺要求后,自动生成加工穿丝孔的CNC文件。     

图形自动编程技术

讨论了线切割图形自动编程的图形数据采集、实体数据结构建立及实体排序与处理等技术,并分析了线切割编程过程中计数长度的计算方法。     

基于AutoCAD的线切割自动编程系统

一、需解决的问题 目前,国内开发了几种数控线切割机床的自动编程系统,各有特点。本文叙述的方法主要用于XH-Ⅱ型数控线切割机床的自动编程,即把由AutoCAD画出的图形通过本系统自动生成线切割程序。它能自动生成XH-Ⅱ型数控切割的图形数据(DTA格式)和3B、4B格式程序。此外,本方法还能对带有孤岛的图形     

一种用PASCAL语言编写的线切割机自动编程系统

一、概述数控线切割机床是模具生产中广泛应用的一种先进机床。由于手工编程计算繁琐,易于出错,耗费大量时间,影响了线切割机床发挥其高效率。近年来,国内许多单位都在开展线切割机床自动编程研究。我们在调     

WAP-2000线切割自动编程系统加工应用实例

介绍了DK7732数控线切割机床自动编程软件的应用,为学习掌握数控线切割机床的操作提供了较为便捷的方法.     

基于MLS改进算法的曲线拟合技术研究

针对散乱点拟合曲线的算法问题,分析了移动最小二乘逼近法（MLS）的特点,提出了用MLS改进算法对散乱点进行曲线拟合,并结合实例进行了验证。结果表明,MLS改进算法在拟合曲线时,选取不同阶的基函数和不同的权函数,在保证精度和光滑度的基础上,解决了传统曲线拟合方法在拟合曲线时出现的运算不稳定现象,显示了MLS改进算法在曲线拟合中的优越性。     

基于移动最小二乘法的渐开线齿轮齿廓曲线拟合方法

针对现有渐开线齿轮齿廓曲线拟合方法精度不高的缺点,提出了一种用移动最小二乘法(MLS)拟合齿廓曲线的新方法,并通过齿距偏差的计算对该方法进行了实例验证。利用三坐标测量机对某齿轮进行测量,得到齿廓数据点和齿距偏差;根据移动最小二乘法原理和实验数据,用MATLAB编程实现了齿廓曲线的拟合;根据拟合结果,利用图解法计算出了左齿廓齿距偏差。与最小二乘法(LS)的拟合结果的对比表明,用移动最小二乘法拟合齿廓曲线精度更高,误差更小,具有良好的拟合效果。齿距偏差计算结果表明,单个齿距偏差和齿距累积偏差与实测值一致,表明该方法准确、有效。研究结果可为齿廓曲线的拟合和齿距偏差的计算提供参考。     

The Pre-Processing of Data Points for Curve Fitting in Reverse Engineering

Reverse engineering has become an important tool for CAD model construction from the data points, measured by a coordinate measuring machine (CMM), of an existing part. A major problem in reverse engineering is that the measured points having an irregular format and unequal distribution are difficult to fit into a B-spline curve or surface. The paper presents a method for pre-processing data points for curve fitting in reverse engineering. The proposed method has been developed to process the measured data points before fitting into a B-spline form. The format of the new data points regenerated by the proposed method is suitable for the requirements for fitting into a smooth B-spline curve with a good shape. The entire procedure of this method involves filtering, curvature analysis, segmentation, regressing, and regenerating steps. The method is implemented and used for a practical application in reverse engineering. The result of the reconstruction proves the viability of the proposed method for integration with current commercial CAD systems.     

Unconstrained and constrained curve fitting for reverse engineering

Curve fitting is commonly used in reverse engineering for the reconstruction of curves from measured points, and it is critically important to provide various kinds of curve-fitting algorithms to acquire curves that satisfy different constraint conditions. We divide the curve-fitting problem into unconstrained and constrained types. For the unconstrained type, three curve-fitting algorithms are investigated: general, smooth and extended curve fitting. The general curve fitting considers only the accuracy of the fitted curve; the smooth curve fitting can control both the accuracy and the fairness of the fitted curve, while the extended curve fitting can acquire a curve longer than the range of the measured points. For the constrained type, we propose three curve-fitting conditions: fixed end-points, closed curve and continuity to adjacent curves. Detailed discussion for each of the above cases is presented. Associated examples are also provided to illustrate the feasibility of the proposed algorithms.     

变曲率零件拉弯模数控加工的数据处理

讨论了变曲率零件拉弯模数控加工的数据处理问题，包括列表曲线的获得与数据平滑校正，离散曲线的连续化拟合，数控编程中节点与插补长度的计算等。为实现变曲率零件拉弯模的数控加工奠定了基础。     

人工神经网络在发动机建模中的应用研究

为解决发动机建模和数据拟合准确性的问题,介绍了人工神经网络BP算法的基本概念,并将其应用到发动机建模和数据拟合当中。采用神经网络法和最小二乘法,分别对发动机的外特性和万有特性进行了模拟和训练,在Matlab/Simulink仿真模型的基础上,对其拟合精度和误差进行了评价。仿真结果表明,神经网络法具有较高的拟合精度,而且计算方便,对研究车辆的动力性和燃油经济性的可信程度具有重要意义,可为实现发动机与车辆传动系统共同工作的动力匹配奠定一定的理论基础。     

常用曲线的拟合

本文提出了用相对误差求最小进行常用曲线拟合。经大量曲线拟合结果证明：方法简单、实用、可靠，对其他类型曲线拟合也有一定的参考价值．     

A robust surface fitting and reconstruction algorithm for form characterization of ultra-precision freeform surfaces

Ultra-precision freeform surfaces are non-rotational symmetric surfaces possessing sub-micrometer form accuracy and nanometric surface finish. Although they can be fabricated accurately by ultra-precision machining technology, their surface quality is difficult to be characterized. Surface reconstruction is a vital task in the form characterization of ultra-precision freeform surfaces. This paper presents a robust surface fitting algorithm to reconstruct a high fidelity surface from measured discrete points while the surface smoothness can be ensured as well. A fitting threshold named confidence interval of fitting error is proposed to strike the balance between fitting accuracy and surface smoothness in the fitting process. The fitting algorithm is in two steps. In the first step, bidirectional sampling method is developed to extract a curve network from measured points cloud to construct an initial surface. In the second step, the fitting error of the initial surface is minimized to meet the prescribed fitting error threshold. A series of experimental work has been conducted and the results show that the proposed algorithm is able to provide effective means for increasing the accuracy in the form characterization of ultra-precision freeform surfaces.     

基于Matlab的泵可用汽蚀余量曲线拟合方法探讨

泵可用汽蚀余量曲线的形状直接影响泵汽蚀性能的判断,因此需要尽可能地提高曲线的拟合精度。本文使用Matlab的曲线拟合功能,对泵可用汽蚀余量曲线采用了多项式和非线性拟合,并详细介绍了曲线拟合的原理及过程。经过比较分析得出5次多项式和指数函数拟合曲线较理想,并求出了相应NPSH3值。     

路径拟合在服装切割中的研究与应用

针对服装样片在裁剪过程中提出的快速性要求,给出了一种服装样片切割方案:通过三次准均匀B样条拟合PLT文件中的加工数据,获得服装样片的轮廓曲线,并采用混合圆弧-直线逼近法逼近拟合曲线,在误差允许的前提下,重新离散化刀具加工点,减少了在拟合曲线上的刀具加工点数量,从而提高了服装裁剪的速率。重点讨论了运用三次准均匀B样条拟合样片轮廓曲线以及采用混合圆弧-直线逼近法逼近拟合曲线,突出了其在大曲率线段加工中的优势。