共查询到19条相似文献,搜索用时 125 毫秒
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为了满足皮革裁剪机自动化高速裁剪的需求,设计了皮革裁剪机伺服进给系统.针对皮革数控裁剪时所存在高速切割和动态响应性问题,对伺服进给系统进行了数学建模,同时对其机械传动机构进行了转动惯量等效分析;在此基础上提出了电流、速度和位置的三环PID控制策略,建立了伺服进给控制系统Simulink仿真模型.研究结果表明,采用了三环PID控制方法后的皮革裁剪机伺服进给系统获得了更加优良的动态特性,对进一步提高高速皮革裁剪机的裁剪速度和精度具有较好的工程实用价值. 相似文献
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由于机械加工的切割精度要求高,切割工艺过程复杂,所以该过程对控制系统的可靠性、精确性有较高要求.为此,设计了一种新的基于FANUC的数控镂铣床控制系统,分析了系统功能要求,阐述了硬、软件系统的设计方案.现场调试表明,该系统在功能、性能和控制精度上已接近国外同类产品的先进水平. 相似文献
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皮革裁剪是皮革加工流程中一道关键工序,在诸多皮革裁剪中,电动式皮革裁剪以方便、高效等特性提高了皮革裁剪的效率,但电动式裁剪亦存在噪声大、切割精度低等缺点.针对电动式皮革裁剪存在的振动噪声大、切割精度低等问题,通过提供一种电动式皮革裁剪头的设计方案,分析了影响其振动噪声、切割速度、切割精度的因素;对设计模型进行了运动学仿真,分析了刀头部分的运动状况、产生动不平衡的原因及改进方法;使用ANSYS软件,对伸缩杆进行了受力分析,得到了伸缩杆的受力情况.研究结果表明,电动工皮革裁剪产生的振动噪声与惯性力有关,而惯性力的产生源于动不平衡性,此外伸缩杆的受力变形会影响切割精度. 相似文献
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作为前沿技术之一的机器人技术发展迅速,广泛应用于各行各业。基于某企业的三维激光切割项目,设计了一套基于西门子S7-300PLC和KUKA机器人的三维激光切割控制系统,其中KUKA机器人作为主站,通过编程、通信与光纤激光器、三维激光切割头、随动控制系统、自动调焦系统配合完成三维激光切割。该切割方法涉及三维激光切割技术领域,适用于三维覆盖件,可作为三维空间钣金件切割之用。 相似文献
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Ching-Yang Lin 《Machining Science and Technology》2020,24(1):65-95
AbstractThis study designed an automatic cutting feed adjustment system for computer numerical control (CNC) turning machine tools, which integrate the operational characteristics of cutting force control and chatter suppression control to shorten the machining time and maintain the quality of workpieces. The setting of appropriate machining conditions (such as cutting feed, spindle speed and depth of cut) to consider both machining quality and efficiency often causes difficulties for machine tool operators. Therefore, this study uses cutting force control to design an automatic cutting feed adjustment method for cutting tools, and then, the chatter suppression control design is used to modify the cutting force command to suppress cutting chatter. The experimental results of the CNC turning machine tool show that the use of the cutting force control to adjust the cutting feed can shorten the machining time; however, the cutting chatter results in larger surface waviness on the workpiece surface. When the cutting force command is properly modified by actuating the chatter suppression control, the workpiece shows better surface roughness with prolonged machining time. Therefore, the cutting tests demonstrate that the proposed system is feasible for satisfying the machining requirements of the manufacturing processes of mechanical parts for high speed and high accuracy. 相似文献
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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。 相似文献
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In this study, the optimization of the cutting parameters on drill bit temperature in drilling was performed. Al 7075 work piece and the uncoated and Firex® coated carbide drills in the experimental were used. The optimization of the cutting parameters was evaluated by Taguchi method. The control factors were considered as the cutting speed, feed rate and cutting tool. Taguchi method was used to determining the settings of cutting parameters. The L18 orthogonal array was used in experimental planning. The most significant control factors affected on drill bit temperature measurements was obtained by using analysis of variance (ANOVA). Taguchi design method exhibit a good performance in the optimization of cutting parameters on drill bit temperature measurements. In addition, the empirical equations of drill bit temperatures were derived by using regression analysis. The obtained equations results compared with the drill bit temperature measurement results. The empirical equations results indicated a good agreement with experimental results. 相似文献
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Pavel Kovac Dragan Rodic Vladimir Pucovsky Borislav Savkovic Marin Gostimirovic 《Journal of Mechanical Science and Technology》2014,28(10):4247-4256
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. 相似文献