PackMolds: computational design of packaging molds for thermoforming

Naoki Kita
{"title":"PackMolds: computational design of packaging molds for thermoforming","authors":"Naoki Kita","doi":"10.1007/s00371-024-03462-8","DOIUrl":null,"url":null,"abstract":"<p>We present a novel technique for designing molds suitable for desktop thermoforming, specifically for creating packaging such as blister packs. Our molds, <i>PackMolds</i>, feature neither undercuts nor negative draft angles, facilitating their easy release from thermoformed plastic sheets. In this study, we optimize the geometry of <i>PackMolds</i> to comply with user-specified draft angle constraints. Instead of simulating the traditional thermoforming process, which necessitates time discretization and specifying detailed parameters for both material properties and machine configuration to achieve an accurate simulation result, we formulate our problem as a constrained geometric optimization problem and solve it using a gradient-based solver. Additionally, in contrast to industrial thermoforming, which benefits from advanced tools, desktop thermoforming lacks such sophisticated resources. Therefore, we introduce a suite of assistive tools to enhance the success of desktop thermoforming. Furthermore, we demonstrate its wide applicability by showcasing its use in not only designing blister packs but also in creating double-sided blister packs and model stands.\n</p>","PeriodicalId":501186,"journal":{"name":"The Visual Computer","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Visual Computer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00371-024-03462-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We present a novel technique for designing molds suitable for desktop thermoforming, specifically for creating packaging such as blister packs. Our molds, PackMolds, feature neither undercuts nor negative draft angles, facilitating their easy release from thermoformed plastic sheets. In this study, we optimize the geometry of PackMolds to comply with user-specified draft angle constraints. Instead of simulating the traditional thermoforming process, which necessitates time discretization and specifying detailed parameters for both material properties and machine configuration to achieve an accurate simulation result, we formulate our problem as a constrained geometric optimization problem and solve it using a gradient-based solver. Additionally, in contrast to industrial thermoforming, which benefits from advanced tools, desktop thermoforming lacks such sophisticated resources. Therefore, we introduce a suite of assistive tools to enhance the success of desktop thermoforming. Furthermore, we demonstrate its wide applicability by showcasing its use in not only designing blister packs but also in creating double-sided blister packs and model stands.

Abstract Image

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
PackMolds:热成型包装模具的计算设计
我们提出了一种新技术,用于设计适合台式热成型的模具,特别是用于制造吸塑包装等包装。我们的模具(PackMolds)既没有底切,也没有负拔模角,因此易于从热成型塑料板上脱模。在这项研究中,我们优化了 PackMolds 的几何形状,使其符合用户指定的拔模角度限制。传统的热成型过程需要对时间进行离散化处理,并指定材料属性和机器配置的详细参数,才能获得精确的模拟结果,而我们并没有模拟传统的热成型过程,而是将问题表述为受限几何优化问题,并使用基于梯度的求解器进行求解。此外,与受益于先进工具的工业热成型相比,桌面热成型缺乏此类复杂资源。因此,我们引入了一套辅助工具,以提高桌面热成型的成功率。此外,我们还展示了其广泛的适用性,不仅用于设计吸塑包装,还用于创建双面吸塑包装和模型支架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Advanced deepfake detection with enhanced Resnet-18 and multilayer CNN max pooling Video-driven musical composition using large language model with memory-augmented state space 3D human pose estimation using spatiotemporal hypergraphs and its public benchmark on opera videos Topological structure extraction for computing surface–surface intersection curves Lunet: an enhanced upsampling fusion network with efficient self-attention for semantic segmentation
×
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