Assembly language design and development for reconfigurable flexible assembly line

IF 11.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Robotics and Computer-integrated Manufacturing Pub Date : 2023-04-01 Epub Date: 2022-10-01 DOI:10.1016/j.rcim.2022.102467

Leicai Xiao , Long Zeng , Zhaobo Xu , Xueping Liu

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Abstract

To improve the efficiency and controllability of our previous proposed cross-category product assembly line, we design an assembly language (A-code) to express a product's assembly process. We further develop an IDE to describe assembly processes as statements, which are organized according to predefined syntax as an A-code file. The interpreter translates statements into executable low-level commands. In addition, a four-layer architecture of the A-code assembly system (ACAS) is proposed to implement this language, thus an A-code files can be run on the assembly line physically. The proposed ACAS can reconfigure each unit for specific products, and control their assembly processes. The expressivity of this language is validated in two assembly cases, a simple shuttle valve and a complex relief valve. The functionality and feasibility of this system are tested by assembling 50 relief valves. The results demonstrate our ACAS can perform complex assembly tasks in a more efficient way.

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可重构柔性装配线的汇编语言设计与开发

为了提高我们之前提出的跨类别产品装配线的效率和可控性，我们设计了一种汇编语言（A代码）来表达产品的装配过程。我们进一步开发了一个IDE，将汇编过程描述为语句，这些语句根据预定义的语法组织为A代码文件。解释器将语句转换为可执行的低级命令。此外，提出了一种四层结构的a代码汇编系统（ACAS）来实现这种语言，从而使a代码文件可以在流水线上物理运行。所提出的ACAS可以为特定产品重新配置每个单元，并控制其组装过程。这种语言的表达能力在两个组装案例中得到了验证，一个是简单的梭阀，另一个是复杂的安全阀。通过组装50个安全阀来测试该系统的功能和可行性。结果表明，我们的ACAS可以以更有效的方式执行复杂的装配任务。

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来源期刊

Robotics and Computer-integrated Manufacturing 工程技术-工程：制造

CiteScore

24.10

自引率

13.50%

发文量

160

审稿时长

50 days

期刊介绍： The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.