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《Machining Science and Technology》2013,17(3):361-387
In recent years, artificial intelligence played an important role in machine tool automation. Artificial neural networks, as one of the artificial intelligence algorithms, has superiority in representing the relation between the inputs and outputs of the multi‐variable system. Hence, it can be applied to sophisticated operations such as grinding operation. The aim of this research is to use artificial neural networks as the brain of grinding machine controller. The target of this controller was to achieve the desired workpiece surface roughness under grinding wheel surface topography variations. The core of the system consists of two multi‐layers feed forward artificial neural networks based on back error propagation learning algorithm. The first one was used for process design to achieve the desired surface roughness. It extracts suitable process variables such as grinding wheel speed and feed rate. The second one monitors the cutting operation using sensors' readings. It extracts the different controlling decisions; these are accept the process, redesign the process or start dressing operation under automatic control. According to these decisions, a PC master control program generates the appropriate control codes and sends them to the machine controllers to take the required actions. 相似文献
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In recent years, artificial intelligence played an important role in machine tool automation. Artificial neural networks, as one of the artificial intelligence algorithms, has superiority in representing the relation between the inputs and outputs of the multi-variable system. Hence, it can be applied to sophisticated operations such as grinding operation. The aim of this research is to use artificial neural networks as the brain of grinding machine controller. The target of this controller was to achieve the desired workpiece surface roughness under grinding wheel surface topography variations. The core of the system consists of two multi-layers feed forward artificial neural networks based on back error propagation learning algorithm. The first one was used for process design to achieve the desired surface roughness. It extracts suitable process variables such as grinding wheel speed and feed rate. The second one monitors the cutting operation using sensors' readings. It extracts the different controlling decisions; these are accept the process, redesign the process or start dressing operation under automatic control. According to these decisions, a PC master control program generates the appropriate control codes and sends them to the machine controllers to take the required actions. 相似文献
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J.-S. Kwak M.-K. Ha 《The International Journal of Advanced Manufacturing Technology》2004,23(5-6):436-443
Successful grinding of a final product depends upon a large number of parameters that affect the grinding result and are strongly interlinked. It is, therefore, difficult to detect directly the generation of grinding faults such as chatter vibration and burning. In this paper, to achieve the development of an intelligent diagnostic technique for chatter vibration and burning phenomena on grinding process, acoustic emission signals were processed and signal parameters of the acoustic emission were also determined. In addition, a neural network was used as a diagnostic technique of the grinding state. A momentum coefficient, learning rate, and structure of the hidden layer were determined during the iterative learning process and the performance of the diagnostic technique was evaluated. 相似文献
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电火花修整金刚石微粉砂轮的磨削特性 总被引:4,自引:0,他引:4
地于金属结合剂金刚石微粉砂轮来说,电火花修整法是一种高效的修整方法,本文讨论了电火花后青铜结合剂金刚石微粉砂轮磨削工程陶瓷的磨削力、磨削工件表面粗糙度特性,并同常规磨削法修整进行了比较。 相似文献
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杯状砂轮修整器对CBN砂轮的修形及磨削 总被引:1,自引:0,他引:1
研究杯状砂轮对陶瓷CBN砂轮的修形,及修形后磨削高速钢和软钢的加工特性。通过研究得出,磨削高速钢时砂轮磨粒磨损和切屑附着、磨削软钢时砂轮表面发生堆积物熔着是砂轮磨耗的主要原因。 相似文献
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陶瓷喷涂层精密镜面磨削技术的研究 总被引:1,自引:1,他引:0
1陶瓷喷涂层的结构与特性喷涂层在结构上不同于致密的金属材料。在喷涂过程中,被加热至熔化或接近熔化的粉末材料,或者被加热熔化并雾化的丝材颗粒,在高压气流的带动下撞击到基材表面上,产生变形、流散并冷凝成盘状,镶嵌、咬接和填塞到基材表面上。随后喷来的粒子以... 相似文献
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数字控制成形磨削技术的研究 总被引:4,自引:0,他引:4
根据成形磨削的生成原理,建立与成形表面共轭的修整滚轮运动轨迹的数学模型,并通过利用数控装置控制砂轮修整器的二轴运动、精密分度运动和砂轮的径向进给运动,实现数控成形磨削。 相似文献
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基于数值建模的砂轮形貌仿真与测量 总被引:6,自引:0,他引:6
建立球形磨粒在空间随机运动的数学模型,提出创建三维砂轮数值模型的方法。提取仿真砂轮的表层磨粒以生成虚拟砂轮形貌,依据振动模型确定的磨粒中心坐标,将球形磨粒转化为不规则六面体进行统计分析。以单点金刚石笔为修整工具,建立修整模型并将其引入砂轮形貌生成过程之中。利用激光传感器测量实际砂轮形貌的磨粒分布规律,并将试验统计数据与同特征的仿真结果相比较,分析两结果之间的区别和联系。通过计算磨粒突出高度、磨粒间距等评价参数,讨论砂轮形貌修整前后的差异,测量和仿真的结果表明:在初始砂轮形貌中,磨粒突出高度呈正态分布,修整后则近似均匀分布,大部分磨粒间距分布在0.2~0.6 mm,为进一步探讨砂轮形貌对磨削工件的影响提供了依据。 相似文献
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磨床砂轮智能监测及修整系统 总被引:1,自引:0,他引:1
介绍一种具有较好通用性和实用性的砂轮智能监测及修整系统,该系统利用BP神经网络建立声发射(AE)信号、振动信号、砂轮电机功率信号与砂轮磨钝之间的非线性关系,能够根据传感器信号,自动在线监测砂轮磨钝,及时启动砂轮自动修整系统,并且通过采用CNC砂轮自动修整器,能够解决多种类型的成型砂轮的修整。 相似文献
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新型智能砂轮半自动平衡仪 总被引:2,自引:0,他引:2
介绍新研制成功的精密磨床砂轮半自动平衡仪。该仪器利用数字相敏检波技术提取砂轮的不平衡振动信号及最小二乘技术识别砂轮不平衡量;设计出友善的人机界面,用于提示、指导识别与平衡过程;仪器的绝大部分功能均由软件完成,成本低,可靠性高。试验表明仪器原理正确,平衡精度高。 相似文献
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树脂CBN磨轮的修锐方法地磨轮的磨削性能和磨削效果有极大影响。文中通过三种修锐方法的效果比较,说明弹性变板法效果最佳。 相似文献
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为了实现曲轴随动磨削参数的智能选取及优化,采用多Agent技术构建了参数智能决策系统。分别设计了CBR决策Agent、RBR决策Agent、MBR决策Agent、FR决策Agent及相应功能Agent,这四种推理决策Agent的组合能够互相取长补短,避免仅采用某一技术带来的局限。并且建立了曲轴随动磨削参数的范例库、模型库、规则库和方法库以及各库管理系统。针对曲轴随动磨削参数决策特点,制定统一的协调控制策略,并利用黑板解决各Agent间的通信问题,实现了决策Agent之间的有效协同。 相似文献
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何宁 《机电产品开发与创新》2004,17(4):93-95
本文建立了外圆车刀各刀面的方程式,给出了各刀面从安装初始位姿到刃磨位姿的坐标变换过程.给出了车刀位姿调整机构的传动原理,为智能车刀刃磨机的研制提供了必要的技术保证。 相似文献