典型数控车削零件的工艺方案设计

首先阐述零件在加工前需要完成工艺设计,制定工艺文件的重要性。然后选择具有代表性的轴类车削加工零件,通过分析图纸的加工内容及加工要求,初步拟定加工工艺路线。根据所拟定的加工工艺路线,完成细节的设计,包括设计辅助夹具、选择合适的刀具以及切削用量。最后形成加工工艺方案,填写工序卡和完整的加工工艺卡。展示了典型轴类零件的加工工艺方案设计全过程。     

超长钛合金燕尾梁的数字化制造

介绍了超长钛合金燕尾梁类零件的数字化制造技术。通过典型零件的加工试验,总结出该类零件的数控制造工艺方法,包括加工流程制定、加工刀具选择、切削参数设定、定位方法、装夹方式和基准选择等。该工艺方法可为同类零件的制造提供参考。     

典型车削零件数控工艺分析与加工

分析了数控车削零件编程加工中可能出现的一些问题,通过对典型数控车削轴类零件的工艺分析,制订出详细的加工工艺,最终完成典型数控车削轴类零件的编程与加工.以典型零件为例,较全面地剖析了数控车削轴类零件的整个工艺过程,为初学者指明了较为明确的道路,有助于增强其对数控车削的掌握能力,减少出错几率,提高生产效率.     

车铣加工细长轴的振动特性分析

应用正交车铣可以实现细长轴等弱刚度零件的高速和精密切削加工,可作为传统车削加工的替代加工方法。针对细长轴类零件的正交车铣加工,建立了考虑刀具—刀柄—主轴结合面的电主轴以及不同装夹下的工艺系统的有限元模型,并对不同切削参数以及不同装夹方式下的铣刀系统、工件以及工艺系统的幅频特性进行了分析。同时,对比研究了在车铣和车削加工条件下工艺系统的幅频特性,研究表明:在不同装夹方式下车铣加工较车削加工的振动特性有很大改善,研究结果为细长轴类零件的正交车铣加工应用打下理论基础。     

轴类零件数控车削的工艺分析及编程

通过对典型轴类零件的工艺分析,从图纸分析、装夹方案、加工路线、刀具选择、切削用量选择、加工程序等方面的数控车削工艺做了全面阐述。     

切削深度对微细轴类零件加工精度影响的实验研究

金属切削过程中，不同的切削参数对零件的加工精度影响是不同的。通过车铣和车削两种加工方法的对比，重点研究了切削深度对微细轴类零件加工精度的影响问题。通过对实验结果的分析显示，车铣加工和车削加工微细轴时切削深度的变化对加工精度的影响很小，一般情况下可以忽略。     

典型车削类零件自动编程加工

工艺分析该典型车削类零件,重点阐述基于CAXA数控车编制该轴类零件程序的过程,先后经过4个步骤,绘制零件轮廓图样及毛坯,生成刀具加工轨迹,生成程序,与上海宇龙仿真软件结合,模拟实现整个零件的自动加工。     

薄壁零件的车削

针对薄壁零件的车削，设计了加工工艺、切削刀具和切削参数，选择合适的切削液，进行了试验研究。试验结果表明：优化切削工艺、切削参数，可以减少薄壁零件车削中的变形，加工出合格的薄壁零件。     

中职学校数控轴类零件加工工艺设计

文中对典型的轴类零件,进行分析加工的工艺方案和工装方案,并明确选择了刀具和切削的用量,我们制定了加工顺序和加工路线,对加工部件程序编制。通过对工艺的过程的制定,体现了数控设备在保证加工精度,加工效率,简化工序等方面的优势。     

基于MasterCAM的高精度空心轴数控加工工艺分析

在各级、各类数控车加工技能竞赛中,高精度空心轴类零件的加工越来越普遍.因空心轴受夹紧力、切削热和刀具振动等因素影响,车削加工中易出现变形、振纹等问题.通过合理设计零件加工工艺,运用MasterCAM仿真软件进行刀具路线模拟,实现了对高精度空心轴加工工艺的改进,有效解决了加工难点,对学生和企业加工类似空心轴零件具有参考与指导的意义.     

掘进机截割臂自适应截割控制策略研究

针对井下掘进机截割智能化程度低、截割臂摆速不能根据煤岩硬度进行自适应调节的问题,提出了一种基于多传感器信息的掘进机截割臂自适应截割控制策略。以截割电机电流、截割臂驱动油缸压力、截割臂振动加速度作为煤岩截割载荷识别依据,采用径向基函数神经网络设计了截割载荷信号识别器,为截割臂摆速调控提供准确依据;针对复杂且具有时变性的截割臂摆速调控系统,设计了基于遗传算法优化的模糊PID智能控制器,实现对截割臂摆速的高效调控。建立了掘进机截割臂数学模型,在MATLAB/Simulink中搭建了截割臂自适应截割仿真控制系统,仿真结果表明,控制系统具有较快响应速度及较高控制精度。基于贝加莱Automation Studio软件搭建掘进机机载自适应截割控制系统,在石家庄煤矿机械有限公司模拟巷道中采用EBZ135型掘进机进行了模拟截割实验,实验结果表明,所提出的控制策略能够根据截割载荷变化实现对截割臂摆速的高效自适应调控。     

In-process modelling of numerical control end milling

A computer-aided modelling system which can simulate the in-process cutting geometry and then calculate the corresponding dynamic cutting force in numerical control (NC) end milling is presented in the paper. In the developed system, the varying cutting geometry in end milling operations is simulated by a geometrical cutting simulation system using Boolean operations. Once the varying cutting geometry is identified, the dynamic cutting force can be calculated by a cutting process model. As a result, cutting performance in NC end milling can be verified through this developed system.     

Extended octree for cutting force prediction

Prediction of cutting force plays an essentially important role in the selection of optimum cutting parameters and investigation of cutting mechanisms. In this work, an extended octree is presented to represent the workpiece and tool swept volume to acquire the cutting depth and cutting width with high precision so that the cutting forces can be predicted precisely. The algorithm of acquisition of cutting width and cutting depth in flat-end milling is described. A framework of cutting force prediction based on virtual machining was established and a demonstration system was developed consequently. The simulated values of cutting width and cutting depth show good consistency with the theoretically calculated data.     

齿轮刀具CAD系统的研究与开发

为提高齿轮刀具设计的精度和效率,开发了具有自主版权的齿轮刀具CAD系统。该系统以VC++和SQL Server2000为开发环境,建立齿轮刀具设计数据库,采用数据处理分类方法和参数化设计技术,实现了计算与绘图的集成和齿轮刀具工作图的自动绘制。     

Self-sensing of cutting forces in diamond cutting by utilizing a voice coil motor-driven fast tool servo

Cutting force measurement is important for monitoring the diamond cutting process. In this paper, a new measurement method of thrust cutting force associated with a voice coil motor (VCM) driven fast tool servo (FTS) system has been developed. Instead of integrating additional force sensors to the FTS which would influence the dynamics of the FTS, the force measurement in the proposed system is achieved associated with in-process monitoring the variation of the driving current of the VCM and pre-process determining the system parameters. In this way, the cutting forces are accurately obtained by subtracting the influences of the driving force, the spring force, the damping force and the inertial force associated with the system as well as the cutting process. Based on the proposed method, a microstructure array was machined using the developed VCM-FTS and the cutting force during the machining process was monitored in real time. The measured force signal was in good agreement with the machining result. The surface profile error of the fabricated microstructure could be clearly distinguished by the variation of the measured cutting force signal. This provides a new approach for in-process cutting force measurement associated with FTS based diamond cutting process.     

Multi-output fuzzy inference system for modeling cutting temperature and tool life in face milling

This paper proposes a method for cutting parameters identification using the multi-inputs-multi-outputs fuzzy inference system (MIMO-FIS). The fuzzy inference system (FIS) was used to identify the initial values for cutting parameters (cutting speed, feed rate and depth of cut) and flank wear using cutting temperature and tool life as outputs. The objective was to determine the influence of cutting parameters on cutting temperature and tool life. The model for determining the cutting temperature and tool life of steel AISI 1060 was trained (design rules) and tested by using the experimental data. The average deviation of the testing data for tool life was 11.6 %, while that of the cutting temperature was 3.28 %. The parameters used in these testing data were different from the data collected for the design rules. The test results showed that the proposed MIMO-FIS model can be used successfully for machinability data selection. The effect of parameters and their interactions in machining is analyzed in detail and presented in this study.     

快走丝电火花线切割加工仿真系统

通过神经网络技术建立了快走丝电火花线切割加工工艺模型 ,利用穷举法建立了具有一定人工智能的工艺参数全局优化系统 ,开发了模具电火花加工过程仿真系统。该系统不仅可以精确预测加工效果 ,而且克服了工艺参数表的局限性 ,弥补了建立在工艺参数表基础上的参数自动选取系统的缺陷 ,实现了工艺参数全局最优化。测试结果及实际使用结果表明本文所建立的仿真系统反映了机床的加工工艺特性 ,预测误差基本控制在 8%内 ,系统的参数优化选取功能使机床的加工性能得以充分发挥。仿真系统具有广泛的通用性 ,可适用于不同类型的线切割加工机床。     

刀具管理系统技术研究

给出了刀具信息管理系统的总体设计和规划,阐述了各功能模块。使用本系统,可以对刀具信息进行有效管理,能够根据工艺特征等条件选择出适合加工的刀具以及给出优化的切削参数。该系统通用性强、使用灵活,具有良好的开放性,可大大提高刀具选择及确定切削参数的效率。