基于几何算法和离散拓扑的虚拟数字孪生环境智能注塑点定位方法论

IF 0.8 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Dyna Pub Date : 2024-01-01 DOI:10.6036/11004
Cristina MARTIN DOÑATE, Jorge Manuel MERCADO COLMENERO, Abelardo TORRES ALBA
{"title":"基于几何算法和离散拓扑的虚拟数字孪生环境智能注塑点定位方法论","authors":"Cristina MARTIN DOÑATE, Jorge Manuel MERCADO COLMENERO, Abelardo TORRES ALBA","doi":"10.6036/11004","DOIUrl":null,"url":null,"abstract":"Implementing intelligent design models can revolutionize the use of digital twins, which are crucial in product design by incorporating intelligent algorithms. This perspective is especially important for the design of injection-molded plastic parts, a complex process that often requires expert knowledge and costly simulation software not available to all companies. This article presents an innovative methodology for locating injection points in injection-molded parts using intelligent models with geometric algorithms for discrete topologies. The first algorithm calculates the center of mass of the discrete model based on the center of mass of each triangular facet in the system, ensuring uniform molten plastic distribution during mold cavity filling. Two sub-algorithms intelligently evaluate the geometry and optimal injection point location. The first sub-algorithm generates a geometric matrix based on a two-dimensional nodal quadrature adapted to the part's bounding box. The second sub-algorithm projects the nodal matrix and associated circular areas orthogonally on the part's surface along the demolding direction. The optimal injection point location is determined by minimizing the distance to the center of mass from the first algorithm's result. This novel methodology has been validated through rheological simulations in six case studies with complex geometries. The results demonstrate uniform and homogeneous molten plastic distribution with minimal pressure loss during the filling phase. Importantly, this methodology does not require expert intervention, reducing time and costs associated with manual injection mold feed system design. It is also adaptable to various design environments and virtual twin systems, not tied to specific CAD software. The validated results surpass the state of the art, offering an agile alternative for digital twin applications in new product design environments, reducing dependence on experts, facilitating designer training, and ultimately cutting costs\nKeywords: Injection Moulding, Product Design, Industrial Design, Geometrical Algorithms, Digital Twin","PeriodicalId":11386,"journal":{"name":"Dyna","volume":"70 S1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"METHODOLOGY FOR INTELLIGENT PLASTIC INJECTION POINT LOCATION BASED ON GEOMETRIC ALGORITHMS AND DISCRETE TOPOLOGIES FOR VIRTUAL DIGITAL TWIN ENVIRONMENTS\",\"authors\":\"Cristina MARTIN DOÑATE, Jorge Manuel MERCADO COLMENERO, Abelardo TORRES ALBA\",\"doi\":\"10.6036/11004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Implementing intelligent design models can revolutionize the use of digital twins, which are crucial in product design by incorporating intelligent algorithms. This perspective is especially important for the design of injection-molded plastic parts, a complex process that often requires expert knowledge and costly simulation software not available to all companies. This article presents an innovative methodology for locating injection points in injection-molded parts using intelligent models with geometric algorithms for discrete topologies. The first algorithm calculates the center of mass of the discrete model based on the center of mass of each triangular facet in the system, ensuring uniform molten plastic distribution during mold cavity filling. Two sub-algorithms intelligently evaluate the geometry and optimal injection point location. The first sub-algorithm generates a geometric matrix based on a two-dimensional nodal quadrature adapted to the part's bounding box. The second sub-algorithm projects the nodal matrix and associated circular areas orthogonally on the part's surface along the demolding direction. The optimal injection point location is determined by minimizing the distance to the center of mass from the first algorithm's result. This novel methodology has been validated through rheological simulations in six case studies with complex geometries. The results demonstrate uniform and homogeneous molten plastic distribution with minimal pressure loss during the filling phase. Importantly, this methodology does not require expert intervention, reducing time and costs associated with manual injection mold feed system design. It is also adaptable to various design environments and virtual twin systems, not tied to specific CAD software. The validated results surpass the state of the art, offering an agile alternative for digital twin applications in new product design environments, reducing dependence on experts, facilitating designer training, and ultimately cutting costs\\nKeywords: Injection Moulding, Product Design, Industrial Design, Geometrical Algorithms, Digital Twin\",\"PeriodicalId\":11386,\"journal\":{\"name\":\"Dyna\",\"volume\":\"70 S1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dyna\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.6036/11004\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dyna","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.6036/11004","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

实施智能设计模型可以彻底改变数字孪生的使用,而数字孪生通过融入智能算法在产品设计中至关重要。这一观点对于注塑成型塑料零件的设计尤为重要,因为注塑成型是一个复杂的过程,通常需要专业知识和昂贵的模拟软件,并非所有公司都能使用。本文介绍了一种创新方法,利用智能模型和离散拓扑的几何算法来确定注塑成型零件的注塑点位置。第一种算法根据系统中每个三角形面的质量中心计算离散模型的质量中心,确保模腔填充过程中熔融塑料的均匀分布。两个子算法对几何形状和最佳注塑点位置进行智能评估。第一个子算法根据与零件边框相适应的二维节点正交生成几何矩阵。第二个子算法沿脱模方向在零件表面正交投影节点矩阵和相关圆形区域。根据第一种算法的结果,通过最小化到质量中心的距离来确定最佳注射点位置。通过对六个复杂几何形状的案例进行流变模拟,验证了这一新颖的方法。结果表明,在填充阶段,熔融塑料分布均匀一致,压力损失极小。重要的是,这种方法不需要专家干预,减少了手动注塑模具喂料系统设计所需的时间和成本。它还能适应各种设计环境和虚拟孪生系统,与特定的 CAD 软件无关。经过验证的结果超越了目前的技术水平,为新产品设计环境中的数字孪生应用提供了一种灵活的替代方案,减少了对专家的依赖,促进了设计师的培训,并最终降低了成本Keywords:注塑成型、产品设计、工业设计、几何算法、数字孪生
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
METHODOLOGY FOR INTELLIGENT PLASTIC INJECTION POINT LOCATION BASED ON GEOMETRIC ALGORITHMS AND DISCRETE TOPOLOGIES FOR VIRTUAL DIGITAL TWIN ENVIRONMENTS
Implementing intelligent design models can revolutionize the use of digital twins, which are crucial in product design by incorporating intelligent algorithms. This perspective is especially important for the design of injection-molded plastic parts, a complex process that often requires expert knowledge and costly simulation software not available to all companies. This article presents an innovative methodology for locating injection points in injection-molded parts using intelligent models with geometric algorithms for discrete topologies. The first algorithm calculates the center of mass of the discrete model based on the center of mass of each triangular facet in the system, ensuring uniform molten plastic distribution during mold cavity filling. Two sub-algorithms intelligently evaluate the geometry and optimal injection point location. The first sub-algorithm generates a geometric matrix based on a two-dimensional nodal quadrature adapted to the part's bounding box. The second sub-algorithm projects the nodal matrix and associated circular areas orthogonally on the part's surface along the demolding direction. The optimal injection point location is determined by minimizing the distance to the center of mass from the first algorithm's result. This novel methodology has been validated through rheological simulations in six case studies with complex geometries. The results demonstrate uniform and homogeneous molten plastic distribution with minimal pressure loss during the filling phase. Importantly, this methodology does not require expert intervention, reducing time and costs associated with manual injection mold feed system design. It is also adaptable to various design environments and virtual twin systems, not tied to specific CAD software. The validated results surpass the state of the art, offering an agile alternative for digital twin applications in new product design environments, reducing dependence on experts, facilitating designer training, and ultimately cutting costs Keywords: Injection Moulding, Product Design, Industrial Design, Geometrical Algorithms, Digital Twin
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
Dyna
Dyna 工程技术-工程:综合
CiteScore
1.00
自引率
10.00%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Founded in 1926, DYNA is one of the journal of general engineering most influential and prestigious in the world, as it recognizes Clarivate Analytics. Included in Science Citation Index Expanded, its impact factor is published every year in Journal Citations Reports (JCR). It is the Official Body for Science and Technology of the Spanish Federation of Regional Associations of Engineers (FAIIE). Scientific journal agreed with AEIM (Spanish Association of Mechanical Engineering) In character Scientific-technical, it is the most appropriate way for communication between Multidisciplinary Engineers and for expressing their ideas and experience. DYNA publishes 6 issues per year: January, March, May, July, September and November.
期刊最新文献
INTUITIONISTIC ROBUST CLUSTERING FOR SEGMENTATION OF LESIONS IN DERMATOSCOPIC IMAGES COMPUTATIONAL CHARACTERIZATION OF THE USE OF HYDROGEN IN A BURNER NOWADAYS USING NATURAL GAS DESIGN FOR SAFETY: A SEARCH FOR SYNERGIES EFFICIENCY OPTIMIZATION OF OWC WAVE ENERGY CONVERTERS BY INCIDENT FLOW STEERING TECHNOLOGICAL EVOLUTION OF ELECTROLIZERS FOR HYDROGEN PRODUCTION
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1