轨道车辆组件制造作业柔性制造系统的设计与仿真

Ilesanmi Daniyan , Khumbulani Mpofu , Boitumelo Ramatsetse , Emanuel Zeferino , Giovani Monzambe , Elvis Sekano
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引用次数: 7

摘要

通过开发柔性制造系统(FMS),将第四次工业革命(4IR)的要素应用于轨道车辆行业的制造业务,将促进制造业务的灵活性、智能协调、高效处理和质量控制。轨道车辆行业中的一些生产系统对实时变化没有响应,从而导致生产率降低,因此需要FMS来满足制造操作的动态。本文提出了一个包括装配线、精益生产、物流和质量保证在内的FMS。该系统包括用于部件识别和过程控制的射频识别技术(RFID)、传感器和摄像头阵列、自动化材料存储和供应、物联网(IoT)接口等标准接口、机器人焊接系统以及强大的智能控制系统。开发了FMS的实现框架,并使用Anylogic 8.2.3对设计的系统进行了仿真。软件结果表明,在3 m/s和7 m/s速度下模拟输送机性能时,输送机运行周期时间与每周期输送机速度成反比关系。结果表明,该系统能够以最小的中断和人为干预,较好地执行轨道车辆组件制造过程中的装配顺序和质量保证操作。这将促进生产具有高结构和尺寸完整性的部件,并显著减少制造周期时间和成本。
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Design and simulation of a flexible manufacturing system for manufacturing operations of railcar subassemblies

The application of the elements of the Fourth Industrial Revolution (4IR) through the development of a Flexible Manufacturing System (FMS) for manufacturing operations in the railcar industry will promote flexibility, intelligent coordination of the manufacturing operations, efficient handling and quality control. Some production systems in the railcar industry are non-responsive to changes in real time thereby leading to reduction in productivity, hence, the need for a FMS that will cater for the dynamics of manufacturing operation. This work proposes a FMS, which encompasses the assembly line, lean production, logistics and quality assurance. The system comprises of the Radio Frequency Identification Technology (RFID) for components identification and process control, arrays of sensors and cameras, automated material storage and supply, standard interfaces such as the interface for the internet of things (IoT), the robotic welding system as well as a robust intelligent control system. A framework for the implementation of the FMS was developed while the simulation of the designed system was performed using the Anylogic 8.2.3. software. Based on the results obtained, there was an inverse relationship between the operating cycle time of the conveyor and the conveyor speed per cycle when the conveyor’s performance was simulated at a speed of 3 m/s and 7 m/s. The results showed that the system can suitably perform the sequence of assembly and quality assurance operations during the manufacturing of railcar subassemblies with minimal interruptions and human intervention. This will promote production of component parts with high structural and dimensional integrity with significant reduction in the manufacturing cycle time and cost.

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