RAMM: A Robotic, Autonomous Magnetic field Mapper

IF 2.1 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

HardwareX Pub Date : 2025-09-15 DOI:10.1016/j.ohx.2025.e00700

Shinjer Li , Samuel J. Rubin , Tyler Meldrum

引用次数: 0

Abstract

Accurate spatial mapping of magnetic fields is crucial for a range of scientific, industrial, and medical magnetic devices. Here, we present RAMM: a Robotic, Autonomous Magnetic field Mapper. RAMM consists of a delta-style 3D robot coupled with a three-axis Hall sensor that is able to measure magnetic fields accurately and at relatively low cost. In addition, RAMM is programmatically controlled via a Python interface, facilitating volumetric measurement of

x

y

, and

z

-components of magnetic fields ranging from the millitesla to single-digit Tesla range. We demonstrate the performance of RAMM, via detailed 3D-maps of the magnetic fields of several different sizes and arrangements of permanent magnets, and demonstrate agreement between measured and manufacturer-reported field gradient values. RAMM is easy to build, affordable, and suitable for teaching and research applications.

Abstract Image

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RAMM：一个机器人，自主磁场绘图仪

磁场的精确空间映射对于一系列科学、工业和医疗磁性设备至关重要。在这里，我们提出RAMM：一个机器人，自主磁场绘图仪。RAMM由一个三角式3D机器人和一个三轴霍尔传感器组成，该传感器能够以相对较低的成本精确测量磁场。此外，RAMM通过Python接口进行编程控制，便于对从毫特斯拉到个位数特斯拉范围内的磁场的x， y和z分量进行体积测量。我们通过几种不同尺寸和永磁体排列的磁场的详细3d图展示了ram的性能，并证明了测量值和制造商报告的场梯度值之间的一致性。ram易于构建，价格合理，适合教学和研究应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.