基于软件的化工机械设计应用的分析

介绍了基于Solid Works的化工设备的设计,通过浓密机设计实例描述了Solid Works对化工设备进行三维结构设计过程中的建模、特征绘制的基本方法.     

典型电气产品参数化技术研究

采用Solid Works软件作为支撑平台,用VB对其进行二次开发,提出一种接触器零件的参数化设计的方法。通过零件的参数化分析,利用编程来实现零件的参数化生成,达到了缩短设计周期的目的。     

野战手术床的CAD设计

介绍在Solid Works平台上建立野战手术床(以下简称手术床)参数化实体建模的基本方法和关键技术，以及利用动画设计软件IPA进行动态模拟，节省了设计时间，提高了设计质量。     

摆线针轮行星减速器的可视化设计

本文以Solid Works2004软件为平台,研究了实现摆线轮齿廓的方法,完成了摆线针轮减速器可视化设计和虚拟仿真装配及有限元分析,提高了摆线针轮减速器设计的速度和质量.     

SolidWorks在化工设备设计中的应用

近年来,随着计算机技术在各种行业中的不断渗透,计算机辅助设计(Computer Aided Design,CAD)已经成为化工设备设计行业必不可少的实用工具。目前使用较多的设计软件有Auto CAD、CAXA、PDF等,Solid Works以一般软件所无法比拟的优点逐渐走进设备设计者的视线,使得化工机械零件、设备等设计生产制造过程更加高效化、系统化。以20万吨/年锰矿流态化还原工艺为例,介绍了三维绘图软件Solid Works设备结构设计流程,并对其在锰矿还原工艺流程中设备、零件结构设计中的具体应用进行了深入的探讨与分析。     

Solidworks 2015直达客户需求

产品背景随着企业用户应用水平的提高和业务板块的不断扩展,他们对设计的需求也日益增加。用户需求至上,认真倾听用户意见,成为驱动设计软件厂商不断研发和优化产品的动力。近日,达索系统Solid Works推出最新版3D设计软件应用组合Solid Works 2015。     

图书简介

机械CAD傻瓜丛书 ——《Solid Edge七日通》本书是一本通俗易懂、实用性很高的软件教程，主要介绍新一代三维CAD软件——Solid Edge在机械零件设计、零件装配、钣金设计、工程图等方面的具体功能、使用方法、操作技巧和相应的文件管理。通过有代表性的设计实例的讲解，使读者学完本课程后能够掌握Solid Edge从零件设计到装配乃至出工程图的全部功能。（庞士宗编著 邮购价43.70元）《SolidWorks中文培训手册》为了让您尽快地熟练应用SolidWorks软件，在此特向您推荐《Solid Works中文培训手册》。它将给您以详细而系统的帮助，一方面…     

基于Solid Works2001的标准件库的二次开发

文章介绍了Solid Works2001应用程序开发接口API，提出了建立三维标准件库的设计思想，采用VB6．0语言编程用实例说明参数化三维标准件库的建立方法，从而实现三维标准件的自动生成。     

陕西华燕航空仪表CAXA数字化制造方案通过验收

近日，DS Solid Works启动一项捐款计划，目的是在设计人员中倡导环境可持续性理念。     

神舟五号研发采用新洲三维Solid2000

近日,在世人瞩目的“神舟五号”载人航天飞船的研制工作中,承担发动机设计工作的“中国航天科技集团公司第六研究院”某设计所,正式采用新洲三维Solid2000设计软件。这标志着自主知识产权的国产三维设计软件达到了国际先进水平。据了解,该所通过对多款国内外三维软件的前期试用和全面考察,最后决定在全所范围内采用新洲三维Solid2000设计软件,作为神五主发动机及系列型号的主要设计平台。新洲三维Solid2000是国内完全自主版权的新一代三维设计软件,它严格符合国家标准、国家军级标准,不仅造型能力世界一流,而且,在二三维双向关联工程图与…     

基于单张影像的月面三维仿真

根据阴影恢复形状原理,提出一种基于单张影像的快速月面三维建模和光照模拟方法。利用单张2D影像中残留的3D线索——灰度信息,通过SFS方法对月面三维形貌进行快速重建,采用改进的Hapke光照模型对重建后的三维形貌进行渲染。实验结果证明,在精度允许范围内,该方法能快速地实现对月面三维形貌的提取和仿真。     

Shape recovery from turntable sequence using rim reconstruction

This paper makes use of both feature points and silhouettes to deliver fast 3D shape recovery. The algorithm exploits object silhouettes in two views to establish a 3D rim curve, which is defined with respect to the two frontier points arising from two views. The images of this 3D rim curve in the two views are matched using cross-correlation technique. A 3D planar rim curve is then reconstructed using point-based reconstruction method. A set of 3D rim curves enclosing the object can be obtained from an image sequence captured under circular motion. Silhouettes are further utilized to check for mismatched rim points. The proposed method solves the problem of reconstruction of concave object surface, which is usually left unresolved in general silhouette-based reconstruction methods. In addition, the property of the reconstructed 3D rim curves allows fast surface extraction. Experimental results with real data are presented.     

VENUS-LEVIS and its spline-Fourier interpolation of 3D toroidal magnetic field representation for guiding-centre and full-orbit simulations of charged energetic particles

Curvilinear guiding-centre drift and full-orbit equations of motion are presented as implemented in the VENUS-LEVIS code. A dedicated interpolation scheme based on Fourier reconstruction in the toroidal and poloidal directions and cubic spline in the radial direction of flux coordinate systems is detailed. This interpolation method exactly preserves the order of the RK4 integrating scheme which is crucial for the investigation of fast particle trajectories in 3D magnetic structures such as helical saturated tokamak plasma states, stellarator geometry and resonant magnetic perturbations (RMP). The initialisation of particles with respect to the guiding-centre is discussed. Two approaches to implement RMPs in orbit simulations are presented, one where the vacuum field is added to the 2D equilibrium, creating islands and stochastic regions, the other considering 3D nested flux-surfaces equilibrium including the RMPs.     

Fast Constrained Surface Extraction by Minimal Paths

In this paper we consider a new approach for single object segmentation in 3D images. Our method improves the classical geodesic active surface model. It greatly simplifies the model initialization and naturally avoids local minima by incorporating user extra information into the segmentation process. The initialization procedure is reduced to introducing 3D curves into the image. These curves are supposed to belong to the surface to extract and thus, also constitute user given information. Hence, our model finds a surface that has these curves as boundary conditions and that minimizes the integral of a potential function that corresponds to the image features. Our goal is achieved by using globally minimal paths. We approximate the surface to extract by a discrete network of paths. Furthermore, an interpolation method is used to build a mesh or an implicit representation based on the information retrieved from the network of paths. Our paper describes a fast construction obtained by exploiting the Fast Marching algorithm and a fast analytical interpolation method. Moreover, a Level set method can be used to refine the segmentation when higher accuracy is required. The algorithm has been successfully applied to 3D medical images and synthetic images.     

Optimal Algorithm for Shape from Shading and Path Planning

An optimal algorithm for the reconstruction of a surface from its shading image is presented. The algorithm solves the 3D reconstruction from a single shading image problem. The shading image is treated as a penalty function and the height of the reconstructed surface is a weighted distance. A consistent numerical scheme based on Sethian's fast marching method is used to compute the reconstructed surface. The surface is a viscosity solution of an Eikonal equation for the vertical light source case. For the oblique light source case, the reconstructed surface is the viscosity solution to a different partial differential equation. A modification of the fast marching method yields a numerically consistent, computationally optimal, and practically fast algorithm for the classical shape from shading problem. Next, the fast marching method coupled with a back tracking via gradient descent along the reconstructed surface is shown to solve the path planning problem in robot navigation.     

利用法向矢量计算三维物体间的距离

机器人路径规划和装配路径规划都要计算空间两个物体之间的距离，实时仿真系统则要求算法既简便、快速，又能够支持规划算法．本文提出了基于Ｂ－Ｒｅｐ的计算三维物体间距离的方法，即利用物体的表面法向矢量直接计算三维物体间的定向距离．该方法达到了上述系统对物体间距离的检测要求．     

利用角度签名进行3维表面配准

3维表面的配准在3维物体重建、场景检测和物体识别过程中起着重要的作用。为此提出了一种新的3维表面表示方法——角度签名(angle signature),并将其用于3维表面配准。该表示方法将表面的局部几何信息表示成为1维的向量,具有对刚体变换的不变性。由于其简洁的表示方式,可以实现表面的快速配准。此外,该方法较其他3维表面的表示方法具有更强的鲁棒性。在实际应用中,为了提高表面配准的速度,首先筛选出特征点,然后利用特征点寻找表面之间的对应关系,从而将刚体变换的参数求出,实现表面的配准。实验结果表明,采用角度签名实现物体表面配准具有较快的速度和较高的精度。     

Analysis of digitized 3D mesh curvature histograms for reverse engineering

Today, it has become more frequent and reasonably easy to digitize the surface of 3D objects. However, the obtained results are often inaccurate and noisy. In this paper, we present an efficient method to analyze a curvature histogram from a digitized 3D surface using a real object. Moreover, we propose to use the curvature histogram analysis for many steps of a reverse engineering process, which can be used to retrieve a CAD model from a digitized one for example. Our objective is to design a fast and fully automated method, which is seldom seen in reverse engineering. Experimental results applied on digitized 3D meshes show the efficiency and the robustness of our proposed method.     

3D地震反射面自动构造的地质结构快速解释方法

计算机辅助地震数据自动解释是提高地震数据解释精度和速度的重要工具。讨论基于全层位追踪及3D地震反射面自动构造的地质构造解释方法的研究和实现。包括地震特征数据提取,波阻抗层位追踪和3D地震反射面生成。方法将波阻抗层位视为3D地震反射面与测线平面上的交线,以此为基础直接构造3D地震反射面,直接对3D反射面操作以得到构造解释结果。从而充分地利用地震数据信息,提高解释的精度和速度。     

A Fast Spectral Method for Active 3D Shape Reconstruction

Variational energy minimization techniques for surface reconstruction are implemented by evolving an active surface according to the solutions of a sequence of elliptic partial differential equations (PDE's). For these techniques, most current approaches to solving the elliptic PDE are iterative involving the implementation of costly finite element methods (FEM) or finite difference methods (FDM). The heavy computational cost of these methods makes practical application to 3D surface reconstruction burdensome. In this paper, we develop a fast spectral method which is applied to 3D active surface reconstruction of star-shaped surfaces parameterized in polar coordinates. For this parameterization the Euler-Lagrange equation is a Helmholtz-type PDE governing a diffusion on the unit sphere. After linearization, we implement a spectral non-iterative solution of the Helmholtz equation by representing the active surface as a double Fourier series over angles in spherical coordinates. We show how this approach can be extended to include region-based penalization. A number of 3D examples and simulation results are presented to illustrate the performance of our fast spectral active surface algorithms.