基于位置关系矩阵的复杂机械拆卸过程推理

Q3 Engineering
Kaori Yamada, Tatsuya Monma, K. Hanahara
{"title":"基于位置关系矩阵的复杂机械拆卸过程推理","authors":"Kaori Yamada, Tatsuya Monma, K. Hanahara","doi":"10.5539/mer.v11n1p1","DOIUrl":null,"url":null,"abstract":"Disassembling of a part is required for maintenance of machinery in case. However, the disassembling process is often not explained in the operation manual, or the explanation of the disassembling does not cover all the situations of all the individual parts, even though, such disassembling could be dealt with by operators that are not familiar with the mechanism of machine. Operators themselves have to determine the disassembly process in such a case. Therefore, it is crucial to develop a system that helps inexperienced operators to find out a proper disassembling process. We focus on the disassembling of a specific part referred to as a target part. The approach is based on the positional relation information among the parts. The positional relations matrix that obtained from the contact states of any two parts in all possible directions and can be generated from the ordinary CAD data. This study proposed a method to infer a disassembly process of a specific part based on the positional relation matrix. The method deduces the disassembly process of the target part with the shortest steps, in the condition of one-part-at-a-time manner. We also introduced an integration of disassembling parts based on the obtained process. A case study was conducted and the result confirmed the feasibility of the proposed method; the effectiveness of the integration approach was also demonstrated.","PeriodicalId":16153,"journal":{"name":"Journal of Mechanical Engineering Research and Developments","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disassembling Process Inference Using Positional Relations Matrix for Complicated Machines\",\"authors\":\"Kaori Yamada, Tatsuya Monma, K. Hanahara\",\"doi\":\"10.5539/mer.v11n1p1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Disassembling of a part is required for maintenance of machinery in case. However, the disassembling process is often not explained in the operation manual, or the explanation of the disassembling does not cover all the situations of all the individual parts, even though, such disassembling could be dealt with by operators that are not familiar with the mechanism of machine. Operators themselves have to determine the disassembly process in such a case. Therefore, it is crucial to develop a system that helps inexperienced operators to find out a proper disassembling process. We focus on the disassembling of a specific part referred to as a target part. The approach is based on the positional relation information among the parts. The positional relations matrix that obtained from the contact states of any two parts in all possible directions and can be generated from the ordinary CAD data. This study proposed a method to infer a disassembly process of a specific part based on the positional relation matrix. The method deduces the disassembly process of the target part with the shortest steps, in the condition of one-part-at-a-time manner. We also introduced an integration of disassembling parts based on the obtained process. A case study was conducted and the result confirmed the feasibility of the proposed method; the effectiveness of the integration approach was also demonstrated.\",\"PeriodicalId\":16153,\"journal\":{\"name\":\"Journal of Mechanical Engineering Research and Developments\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Mechanical Engineering Research and Developments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5539/mer.v11n1p1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mechanical Engineering Research and Developments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5539/mer.v11n1p1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

在这种情况下,维修机器需要拆卸零件。然而,拆卸过程往往没有在操作手册中说明,或者拆卸的说明没有涵盖所有单个部件的所有情况,即使这种拆卸可以由不熟悉机器机理的操作人员处理。在这种情况下,操作员自己必须确定拆卸过程。因此,开发一个系统来帮助没有经验的操作人员找到合适的拆卸过程是至关重要的。我们专注于拆卸一个特定的部件,称为目标部件。该方法基于零件之间的位置关系信息。由任意两个零件在所有可能方向上的接触状态得到的位置关系矩阵,可由普通CAD数据生成。提出了一种基于位置关系矩阵的零件拆卸过程推断方法。该方法以最短的步骤推导出目标零件在一次一个零件的情况下的拆卸过程。在此基础上,提出了一种拆卸部件的集成方法。通过实例分析,验证了所提方法的可行性;最后,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disassembling Process Inference Using Positional Relations Matrix for Complicated Machines
Disassembling of a part is required for maintenance of machinery in case. However, the disassembling process is often not explained in the operation manual, or the explanation of the disassembling does not cover all the situations of all the individual parts, even though, such disassembling could be dealt with by operators that are not familiar with the mechanism of machine. Operators themselves have to determine the disassembly process in such a case. Therefore, it is crucial to develop a system that helps inexperienced operators to find out a proper disassembling process. We focus on the disassembling of a specific part referred to as a target part. The approach is based on the positional relation information among the parts. The positional relations matrix that obtained from the contact states of any two parts in all possible directions and can be generated from the ordinary CAD data. This study proposed a method to infer a disassembly process of a specific part based on the positional relation matrix. The method deduces the disassembly process of the target part with the shortest steps, in the condition of one-part-at-a-time manner. We also introduced an integration of disassembling parts based on the obtained process. A case study was conducted and the result confirmed the feasibility of the proposed method; the effectiveness of the integration approach was also demonstrated.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: The scopes of the journal include, but are not limited to, the following topics: • Thermal Engineering and Fluids Engineering • Mechanics • Kinematics, Dynamics, & Control of Mechanical Systems • Mechatronics, Robotics and Automation • Design, Manufacturing, & Product Development • Human and Machine Haptics Specific topics of interest include: Advanced Manufacturing Technology, Analysis and Decision of Industry & Manufacturing System, Applied Mechanics, Biomechanics, CAD/CAM Integration Technology, Complex Curve Design, Manufacturing & Application, Computational Mechanics, Computer-aided Geometric Design & Simulation, Fluid Dynamics, Fluid Mechanics, General mechanics, Geomechanics, Industrial Application of CAD, Machinery and Machine Design, Machine Vision and Learning, Material Science and Processing, Mechanical Power Engineering, Mechatronics and Robotics, Artificial Intelligence, PC Guided Design and Manufacture, Precision Manufacturing & Measurement, Precision Mechanics, Production Technology, Quality & Reliability Engineering, Renewable Energy Technologies, Science and Engineering Computing, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Systems Science and Systems Engineering, Vehicle Dynamic Performance Simulation, Virtual-tech Based System & Process-simulation, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信