首页> 外文会议>ASME international mechanical engineering congress and exposition;IMECE2011 >DEVELOPMENT OF A FINITE MODEL FOR CONTROLLING A MOLD'S OPEN/CLOSE PROCESS IN AN INJECTION MOLDING MACHINE
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DEVELOPMENT OF A FINITE MODEL FOR CONTROLLING A MOLD'S OPEN/CLOSE PROCESS IN AN INJECTION MOLDING MACHINE

机译:注塑机控制模具开/关过程的有限模型的开发

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This paper presents a unique approach for integrating a finite element analysis (FEA) model using a dynamic explicit of Abaqus with a nonlinear process of the mold's open/close phase in an injection molding machine. This opening/closing phase is considered to have one of the highest impacts on reducing an overall cycle duration since it has no impact on the final part quality. Reducing the overall cycle duration has a big positive impact on productivity and enhancing efficiency of the manufacturing processes of injection molding systems. Therefore, one of the objectives of the injection molding manufacturers is increasing efficiency by reducing the time duration of this phase to a possible minimum. In this work, a 3-dimensional (3D) solid model of the mold, toggle mechanism, and hydraulic cylinder were developed and then superimposed with Abaqus software to animate the motion of the movable part of the mold. The position of the movable part of the mold is traced and used as a controlled variable while the inputted force and initial velocity were considered as the manipulated variables. The innovation of this strategy is that the controller structure uses the nonlinear model to update the process variables at every sampling instant while the closed-loop control is executed. This allows the determination of the plant's variables resulting in a new set of the controller parameters with every sampling instant.
机译:本文提出了一种独特的方法,该方法利用注塑成型机中的动态显式Abaqus与模具开/关阶段的非线性过程集成有限元分析(FEA)模型。由于该打开/关闭阶段对最终零件的质量没有影响,因此被认为对减少整个循环持续时间具有最大的影响。减少总循环时间对生产率和提高注塑系统制造工艺的效率有很大的积极影响。因此,注塑制造商的目标之一是通过将该阶段的持续时间减少到可能的最短时间来提高效率。在这项工作中,模具,肘杆机构和液压缸的3维(3D)实体模型被开发出来,然后与Abaqus软件叠加在一起以对模具可移动部分的运动进行动画处理。跟踪模具的可移动部分的位置并将其用作控制变量,而将输入力和初始速度视为操作变量。该策略的创新之处在于,在执行闭环控制时,控制器结构使用非线性模型在每个采样时刻更新过程变量。这样就可以确定工厂变量,从而在每个采样时刻产生一组新的控制器参数。

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