SMAnalytics – An Automated Software for the Analysis of Shape Memory Alloy Test Data

G. Bigelow, O. Benafan, Zachary D. Toom
{"title":"SMAnalytics – An Automated Software for the Analysis of Shape Memory Alloy Test Data","authors":"G. Bigelow, O. Benafan, Zachary D. Toom","doi":"10.31399/asm.cp.smst2022p0055","DOIUrl":null,"url":null,"abstract":"\n This presentation reports on work to create user friendly software to aid in automated data analysis of tests to characterize the shape memory response of alloys. This effort has developed and produced software capable of automated analysis of test data produced using standard test methods and variations of these methods. This software provides a uniform method for analyzing data, which reduces analysis time and reduces error/variation due to different user and organization analysis methods. The software will allow analyzed data to be reported in the ASTM format for material certification, or as compiled data that can be directly imported into the NASA Shape Memory Material Database.","PeriodicalId":119283,"journal":{"name":"SMST 2022: Extended Abstracts from the International Conference on Shape Memory and Superelastic Technologies","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SMST 2022: Extended Abstracts from the International Conference on Shape Memory and Superelastic Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31399/asm.cp.smst2022p0055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This presentation reports on work to create user friendly software to aid in automated data analysis of tests to characterize the shape memory response of alloys. This effort has developed and produced software capable of automated analysis of test data produced using standard test methods and variations of these methods. This software provides a uniform method for analyzing data, which reduces analysis time and reduces error/variation due to different user and organization analysis methods. The software will allow analyzed data to be reported in the ASTM format for material certification, or as compiled data that can be directly imported into the NASA Shape Memory Material Database.
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
SMAnalytics -形状记忆合金测试数据分析的自动化软件
本报告报告了创建用户友好软件的工作,以帮助测试的自动数据分析,以表征合金的形状记忆响应。这项工作已经开发并产生了能够自动分析使用标准测试方法和这些方法的变体产生的测试数据的软件。该软件提供了统一的数据分析方法,减少了分析时间,减少了由于不同用户和组织分析方法而导致的错误/变化。该软件将允许分析数据以ASTM格式报告材料认证,或作为可直接导入NASA形状记忆材料数据库的编译数据。
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
Fatigue Strain Verification for Cardiovascular Implantable Nitinol Devices Influence of Active Af on the Fatigue Performance of Peripheral Stents Subjected to Physiological Loading Conditions Wear and Tribology Behavior of Superelastic Ni-Ti Tubes under Fatigue Cycling in Compression A New Constitutive Modeling Approach for Shape Memory Alloys Hot Forming of Nitinol: Fundamental Investigations and Applications
×
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