ASMI:用于软物质的低成本自动压头机

IF 2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Dylan List , Alan Gardner , Isabella Claure , Joyce Y. Wong , Keith A. Brown
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引用次数: 0

摘要

自动软物质压头(ASMI)是一个平台,用于快速对弹性模量在 7 kPa 至 67 MPa 范围内的样品进行机械表征,样品采集时间在 1 至 10 分钟之间。它是一种低成本系统,基于开源软件、改进型研磨机和教育力传感器,总材料费为 500 美元。该系统以标准孔板样品架为基础,测试多达 96 个样品的批次,无需人工干预。使用 ASMI,用户可以通过可编程的方式获得机械数据,从而实现高通量工作流程,精确测试随时间变化的现象,并与其他处理步骤集成,进行闭环优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

ASMI: An automated, low-cost indenter for soft matter

ASMI: An automated, low-cost indenter for soft matter
The automated soft matter indenter (ASMI) is a platform for rapidly performing mechanical characterization of samples with elastic moduli in the range 7 kPa to 67 MPa with a sample acquisition time between 1 and 10 min. It is a low-cost system based upon open-source software, a modified mill, and an educational force sensor with a total bill of materials <$500. This system tests batches of up to 96 samples based on a standard well-plate sample holder without requiring any human intervention. Using the ASMI, users can obtain mechanical data in a programmable manner that enables high-throughput workflows, precisely testing time-dependent phenomena, and integration with other processing steps for closed-loop optimization.
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来源期刊
HardwareX
HardwareX Engineering-Industrial and Manufacturing Engineering
CiteScore
4.10
自引率
18.20%
发文量
124
审稿时长
24 weeks
期刊介绍: HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.
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