DNC系统在车间信息化改造中的应用

提出了一套适用研究所小批量、多品种离散型制造加工的数控机床联网与DNC应用的解决方案。采用以太网设备与通讯服务器的形式将数控机床接入计算机网络,实现了分布式数字控制(DNC)系统。对数控设备实施联网集中管理、状态监控和远程控制,并进行NC程序双向传输,充分发挥数控设备的效率。提高了数控机床管理水平。     

极坐标式数控机床的控制体系及运动控制研究

文中提出了极坐标式数控机床这一概念并分析了该类数控机床的特点，同时简要概括了典型的开放式数控体系类型，为适应极坐标数控机床的加工，总结了两种加工代码的构成形式。在此基础之上，笔者开发了凸轮磨床数控系统，实现了C轴和X轴的联动控制，验证了PC机与运动控制器相结合的方案和加工代码的正确性。     

数控机床在我国工程起重机行业的应用

经过几十年的发展，计算机数字控制（CNC）已成为机床自动化的主流。并对提高机床的加工精度起了重大作用。各国生产和使用机床的数控化率已成为技术进步程度的标志。我国工程起重机行业，数控机床的应用起步较晚，但发展较快，效果较好。数控机床在我国工程起重机行业的应用主要有以下几个方面：门）采用数控火焰切割机、数控等离子切割机、数控激光切割机、数控光电跟踪切割机等进行板材下料和成形切割上述切割机一般都可配用自动套料编程系统，可将同一板材规格的不同形状的零件一起进行程序编制，集中套料切割，材料利用率比单件切割…     

基于VNUC的导向轴数控仿真加工

VNUC数控加工仿真软件是利用计算机虚拟动画技术来模拟实际机床的加工过程,可以验证加工代码的安全性、正确性,结合计算机自动编程软件,能大幅缩短产品加工周期,保证产品加工质量。本文以导向轴为例,介绍VNUC数控加工仿真软件在数控加工代码验证及数控机床加工过程模拟操作等方面的应用,为类似产品的数控仿真加工提供参考。     

机械加工自动编程软件与数控仿真软件的综合应用

本文根据高校、培训机构数控加工实训实际情况,研究机械加工自动编程软件与数控仿真软件的综合应用技术。在传统机械加工实训中,自动编程软件生成的程序直接调入数控机床加工效果不尽理想,研究加入数控仿真软件模拟环节,通过软件之间综合应用判断,对程序中不当参数进行修改、不正确的走刀轨迹进行优化调整,得到较为成熟的加工程序,确保实际加工的工件质量和机床操作人员的人身安全。     

数控机床加工与操作方法

数控技术是用数字信息对机械运动和工作过程进行控制的技术，数控装备是以数控技术为代表的新技术对传统制造产业和新兴制造业的渗透形成的机电一体化产品。本论文主要介绍数控机床对初学者的要求，机床加工前的准备工作，数控机床的程序指令，数控机床对刀的操作方法，机床加工几何精度要求，数机床维修和生产安全要求。     

谈谈数控车床加工程序的编制方法

在数控车削加工中,理想的加工程序不仅应保证加工出符合图样要求的合格工件,同时应能使数控机床的功能得到合理的应用和充分的发挥。因此选择最合理的加工路线显得尤为重要。本文将从确定走刀路线、选择合适的G指令等细节出发,分析在数控车削加工中程序的编制方法。     

浅谈数控机床中刀具的选择

<正>数控机床使用的刀具必须具有较高硬度和高耐磨性、足够的强度与韧性以及高的耐热性,还需要较好的工艺性与经济性。刀具的选择和切削用量的确定是齿轮加工工艺中的重要内容,它不仅影响数控机床的加工效率,而且直接影响齿轮的加工质量。因此,数控加工中的刀具选择和切削用量确定是在人机交互状态下完成的,这与普通机床加工形成鲜明的对比,同时也要求编程人员必须掌握刀具选择和切削用量确定的基本原则,在编程时充分考虑数控加工的特点,能够正确选     

汽车车灯面罩模具竖纹的三轴加工创新

汽车车灯面罩模具竖纹的加工一般要在五轴的数控机床上才能完成,本文对该模具的数控加工工艺进行了详细分析,提出了加工创新方法,引入机床角度头,用三轴的数控机床完成了车灯面罩模具竖纹的加工,大大降低了实际生产成本,同时也保证了产品加工质量。     

船舶材料先进加工综合实训平台运行机制与管理模式的研究与实践

本课题应用船舶材料先进加工设备,即:(1)五轴联动数控机床;(2)数控铣床;(3)数控车床;(4)数控火焰切割;(5)船舶板材剪切折弯卷曲;(6)三坐标仪测量,构建6个特色实训项目,并按船舶材料先进加工工艺流程,创新教学设计,构建船舶材料先进加工综合实训平台管理与保障机制,构建船舶材料先进加工实训教学、企业项目生产、科研三位一体的"产教研"融合平台,优化了专业建设、提升人才培养质量。     

工业控制计算机与开放式数控系统开发．

针对工业控制计算机(Industrial PC,简称IPC)在控制领域中影响越来越大的现状,介绍了工业控制计算机的应用情况及特点,开放式数控系统及IPC在数控机床中的应用现状,并结合旋转锉数控刃磨系统阐述了应用工业控制计算机开发开放式数控系统的简要过程.     

数字 建筑 教育——数字技术引发的思考

数字技术引发建筑设计领域的变革,并使之走向生命与数字时代,数字设计与数控制造、建筑教育与数字技术的结合将推动教育的革新。     

数控机器人的建造算法应用研究

本文基于对运用数字化软件实现对以机械臂为代表的数控机器人的自动化控制的介绍,进而深入研究“数字化建造”理论中从“生成”（generating）到“建造”（fabrication）的具体实现方法。本文首先在探讨铣削（milling）、热线切割（hotwirecutting）、弯折（bending）、夹砌（grippingandstacking）等机器人建造手段如何与建造算法化与参数化设计结果进行无缝连接的基础上,重点研究如何运用数寺：化软件完成对上述加工方法的精确模拟以及优化加工路径以实现在现灾世界中机械人对材料的数字化加工。然后尝试将这些基于数控机械人的加工方法进行分类归纳,形成一套逻辑清晰的建造算法,从而为数字化建造提供理论与实践指导。     

CRTSⅡ型轨道板预制场设备配置及关键技术研究

结合参加京沪高速铁路CRTSⅡ型轨道板预制场设计施工的亲身经历,对京沪高速铁路CRTSⅡ型轨道板预制场机械配置及关键技术进行了研究和总结,希望为我国高速铁路轨道板制作积累实际的经验和参考数据。     

盾构运动特性分析

盾构的推进是一个复杂的时变过程,很难用力学和数学的方法精确描述。通过对盾构推进时姿态变化的特性进行分析,提出了一种以一系列平衡状态来模拟盾构推进过程的方法,以平面有限元为例说明了该模拟方法的数值实现,并对一实例进行了计算,结果表明了该方法的有效性。     

Real-time determination of sandy soil stiffness during vibratory compaction incorporating machine learning method for intelligent compaction

An emerging real-time ground compaction and quality control, known as intelligent compaction (IC), has been applied for efficiently optimising the full-area compaction. Although IC technology can provide real-time assessment of uniformity of the compacted area, accurate determination of the soil stiffness required for quality control and design remains challenging. In this paper, a novel and advanced numerical model simulating the interaction of vibratory drum and soil beneath is developed. The model is capable of evaluating the nonlinear behaviour of underlying soil subjected to dynamic loading by capturing the variations of damping with the cyclic shear strains and degradation of soil modulus. The interaction of the drum and the soil is simulated via the finite element method to develop a comprehensive dataset capturing the dynamic responses of the drum and the soil. Indeed, more than a thousand three-dimensional (3D) numerical models covering various soil characteristics, roller weights, vibration amplitudes and frequencies were adopted. The developed dataset is then used to train the inverse solver using an innovative machine learning approach, i.e. the extended support vector regression, to simulate the stiffness of the compacted soil by adopting drum acceleration records. Furthermore, the impacts of the amplitude and frequency of the vibration on the level of underlying soil compaction are discussed. The proposed machine learning approach is promising for real-time extraction of actual soil stiffness during compaction. Results of the study can be employed by practising engineers to interpret roller drum acceleration data to estimate the level of compaction and ground stiffness during compaction.     

Numerical simulations of Class I and Class II uniaxial compression curves using an elasto-plastic cellular automaton and a linear combination of stress and strain as the control method

Class I and Class II behavior of the rock failure process under uniaxial compression has been numerically simulated using an elasto-plastic cellular automaton (EPCA). A linear combination of stress and strain was used as the feedback signal to control the loading process in the numerical model. Uniaxial compressive simulations of heterogeneous rock failure were made using this control method and by considering different homogeneity indices and different linear combinations of parameters, as well as different yield criteria. The results indicate that Class II behavior can be numerically simulated in a complementary way to the laboratory testing method utilized in a servo-controlled testing machine. Whether the rock behaves in a Class I or Class II manner depends on the homogeneity of the rock sample, the linear combination parameters and the yield criterion selected.     

Support vector machine based semi‐active control of structures: a new control strategy

The present paper presents the support vector machine (SVM)‐based semi‐active control algorithm used for designing general dampers for multistorey structures under earthquakes. First, the linear quadratic regulator (LQR) controller for the numerical model of a multistorey structure formulated using the dynamic dense method is obtained by using the classic LQR control theory. Then, a SVM model is designed and trained to emulate the performance of the LQR controller. Likewise, this SVM model comprises the observers and controllers of the control system. Finally, in accordance with the features of general semi‐active dampers, a SVM‐based semi‐active control strategy is put forward. More specifically, an online auto‐feedback semi‐active control strategy is developed and then realized by resorting to SVM. In order to numerically verify the control effectiveness of the present control strategy, the time history analysis has been implemented to a structure with general dampers designed by the SVM‐based semi‐active control algorithm. In numerical simulations, four seismic waves including the El Centro, Hachinohe and Kobe waves, as well as the Shanghai artificial wave, whose peak ground accelerations are all scaled to 0.1 g, are taken into consideration. Comparative results demonstrate that general semi‐active dampers designed using the SVM‐based semi‐active control algorithm is capable of providing higher level of response reduction. Copyright © 2009 John Wiley & Sons, Ltd.     

烟气余热回收利用型溴化锂吸收式冷热水机的研发

介绍了烟气余热回收利用型溴化锂吸收式冷热水机在冷热电三联供系统中的应用。烟气高压发生器的设计采用数值仿真的方法,重点介绍了参数的选定、液管的布置以及压力损失和换热量的计算,并对数值仿真的计算结果进行了分析。     

隧道下穿停机坪施工的仿真分析

针对区间盾构隧道下穿停机坪这一工程技术难题,施工前进行了有限元数值模拟研究,分析表明,盾构隧道应在距停机坪1D~1.5D处开始降低推进力并放慢掘进速度,同时盾构推进过程中应严格控制盾构的掘进姿态,加强壁后注浆,保证下穿施工的安全。