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Path Optimization For Computer Numerical Control-Printed Circuit Boards In Holes Drilling Process - Case Study

机译:计算机数控印刷电路板钻孔过程中的路径优化-案例研究

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Electronic manufacturing sector uses Computer Numerical Control (CNC) machines for drilling holes on Printed Circuit Board (PCB). Some machines do not choose the optimal route when completing their tasks. Hence, this paper proposes an approach, which is based on my Algorithm Shortest Path Search Algorithm (SPSA), for finding the optimal route in PCB holes drilling process. In SPSA, when the robotic arm at the initial position, the algorithm calculates the nearest point to the initial position from all points that the wires starts or ends with. If the nearest point is a start-of-wire point, it will use SPS algorithm 1. If the nearest point is an end-of-wire point, it will use SPS algorithm 2. This process is repeated until drilling all the lines. Then, the robotic arm will drill all the holes according to the Simulated Annealing Algorithm (AS) which I used to determine optimal machining parameters for milling operations. Annealing is the process of slowly cooling a physical system in order to obtain states with globally minimum energy. By simulating such a process, near globally minimum cost solutions can be founded for very large optimization problems. The results of the different optimization algorithms Genetic Algorithm (GA) and AS are compared and conclusions are presented. The modeling and simulation of route optimization in holes drilling process using SPSA is explained. The frame was designed in a way that achieved the aims of this paper. The CNC machine consists of components like driver, drill, three stepper motors, cables and microcontroller PIC16f877A to control the movement of the machine. This paper also explains the detailed problem of interest and the mathematical formulation of the problem is defined. Experimental result indicates that the proposed SPSA-based approach is capable to efficiently find the optimal route for PCB holes drilling process. With this methods, electronics manufacturing sector can optimize the drilling process hence will increase the productivity of the manufacturer
机译:电子制造业使用计算机数控(CNC)机器在印刷电路板(PCB)上钻孔。有些机器在完成任务时没有选择最佳路线。因此,本文提出了一种基于我的算法最短路径搜索算法(SPSA)的方法,用于在PCB钻孔过程中寻找最佳路线。在SPSA中,当机械臂处于初始位置时,该算法会根据导线开始或结束的所有点来计算到初始位置的最近点。如果最近的点是线的起点,则将使用SPS算法1。如果最近的点是线的终点,则将使用SPS算法2。重复此过程,直到对所有线进行钻取。然后,机械臂将根据我用来确定铣削操作的最佳加工参数的模拟退火算法(AS)钻所有孔。退火是缓慢冷却物理系统以获得具有全局最小能量的状态的过程。通过模拟这样的过程,可以为非常大的优化问题建立接近全球最低成本的解决方案。比较了不同优化算法遗传算法(GA)和AS的结果,并给出了结论。解释了使用SPSA在钻孔过程中路径优化的建模和仿真。框架的设计达到了本文的目的。 CNC机床由驱动器,钻头,三个步进电机,电缆和微控制器PIC16f877A等组件组成,用于控制机床的运动。本文还解释了感兴趣的详细问题,并定义了该问题的数学公式。实验结果表明,所提出的基于SPSA的方法能够有效地找到PCB钻孔工艺的最佳路线。通过这种方法,电子制造部门可以优化钻孔过程,从而提高制造商的生产率

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