FREELOADER: AN OPEN SOURCE UNIVERSAL TESTING MACHINE FOR HIGH-THROUGHPUT EXPERIMENTATION

被引：0
|
作者：
Amend, John R., Jr. [2 ]
Lipson, Hod [1 ]
机构：
[1] Cornell Univ, Dept Comp & Informat Sci, Sch Mech & Aerosp Engn, Creat Machines Lab, Ithaca, NY 14853 USA
[2] Cornell Univ, Sch Mech & Aerosp Engn, Creat Machines Lab, Ithaca, NY 14853 USA
来源：
PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE - 2011, VOL 6, PTS A AND B | 2012年
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
We present a low cost, desktop size, open source, universal testing machine, designed for inexpensive high-throughput material testing. The tester can apply tensile and compressive loads up to 5 kN at rates ranging from 2 mm/min to 30 mm/min. Force measurements are achieved with +/- 1.8 N accuracy. The parts list for this machine represents an order of magnitude reduction in the cost per testing unit as compared to commercial systems. We describe the design and construction of the tester and validate its performance. The design, parts list, control software, and user manual are made available freely online under the open source BSD license.
引用
收藏
页码：685 / +
页数：4
相关论文
共 50 条
  • [1] Toward Machine Learning-Enhanced High-Throughput Experimentation
    Eyke, Natalie S.
    Koscher, Brent A.
    Jensen, Klavs F.
    TRENDS IN CHEMISTRY, 2021, 3 (02): : 120 - 132
  • [2] Enabling high-throughput experimentation through high-throughput analysis
    Schafer, Wes
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 252
  • [3] Toward machine learning-enhanced high-throughput experimentation for chemistry
    Callaghan, Sarah
    PATTERNS, 2021, 2 (03):
  • [4] Enabling Catalyst Discovery through Machine Learning and High-Throughput Experimentation
    Williams, Travis
    McCullough, Katherine
    Lauterbach, Jochen A.
    CHEMISTRY OF MATERIALS, 2020, 32 (01) : 157 - 165
  • [5] High-throughput experimentation in catalyst testing and in kinetic studies for heterogeneous catalysis
    Moulijn, JA
    Perez-Ramírez, J
    Berger, RJ
    Hamminga, G
    Mul, G
    Kapteijn, F
    CATALYSIS TODAY, 2003, 81 (03) : 457 - 471
  • [6] High-throughput experimentation in oxidation catalysis
    Schüth, F
    Busch, O
    Hoffmann, C
    Johann, T
    Kiener, C
    Demuth, D
    Klein, J
    Schunk, S
    Strehlau, W
    Zech, T
    TOPICS IN CATALYSIS, 2002, 21 (1-3) : 55 - 66
  • [7] Automated equipment for high-throughput experimentation
    Brändli, C
    Maiwald, P
    Schröer, J
    CHIMIA, 2003, 57 (05) : 284 - 289
  • [8] High-Throughput Experimentation in Oxidation Catalysis
    F. Schüth
    O. Busch
    C. Hoffmann
    T. Johann
    C. Kiener
    D. Demuth
    J. Klein
    S. Schunk
    W. Strehlau
    T. Zech
    Topics in Catalysis, 2002, 21 : 55 - 66
  • [9] Practical High-Throughput Experimentation for Chemists
    Shevlin, Michael
    ACS MEDICINAL CHEMISTRY LETTERS, 2017, 8 (06): : 601 - 607
  • [10] Exploration of ethanol-to-butadiene catalysts by high-throughput experimentation and machine learning
    Jayakumar, Tejkiran P.
    Babu, Sumanaspurthi P. Suresh
    Nguyen, Thanh N.
    Le, Son D.
    Manchan, Ranjithkumar P.
    Phulkerd, Panitha
    Chammingkwan, Patchanee
    Taniike, Toshiaki
    APPLIED CATALYSIS A-GENERAL, 2023, 666
12345