Fabricating a Low-Cost, Microscopy-Compatible Mechanical Testing Device

Performance test of infrared thermal imager is very significant for its working life and field maintenance, but available test equipment is huge volume, strict requirements for environment and user, high cost in use. According to the deficiency of field testing of infrared thermal imager performance, the method was put forward that using high precise temperature feedback controlled thermoelectric cooling module to instead expensive blackbody furnace. The techniques were adopted in the method such as infrared light signals simulation, optical-electric signals auto-detecting, image processing and the fusion of multi-detecting signals. The performance testing device of infrared thermal imager with low cost, convenient to field testing and maintenance was designed, the design broke the traditional model that the test of infrared thermal imager must be under the given condition, and the testing of electric and optical parameters should be separated. Keywords:infrared thermal imager; performance test; simulating infrared target; temperature feedback control

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Design and Development of a Novel Modular Spine Testing Apparatus

ASME 2011 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2011-53200 ◽

2011 ◽

Author(s):

David A. Moody ◽

Oliver M. O’Reilly ◽

Jeffrey C. Lotz

Keyword(s):

Back Pain ◽

Boundary Conditions ◽

Mechanical Testing ◽

Testing Device ◽

Design And Development ◽

Testing Apparatus ◽

Static Testing ◽

Spine Model ◽

Do So

Back pain is a well known health issue and several approaches to understanding the mechanics and dynamics of the spine, including mechanical testing, are used. Presently, several spine testing devices, such as those described in [1,2], are available which impose physiologic loads for various postures of the spine. Although these devices are successful at simulating physiologic loads, they do so by imposing non-physiologic boundary conditions. Thus, we believe the fabrication of a spine testing apparatus that addresses these deficiencies is warranted. In this extended abstract, we discuss our design and development of a robust, physiologic representative mechanical quasi-static testing device using reproducible boundary conditions that approximate, but dont replicate, the in vivo situation. The resulting testing apparatus is shown in Fig. 1. We also present a brief summary of a complementary spine model that is used in conjunction with the spine testing apparatus to predict muscle forces for various spine postures.

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Control System for a Tensile-Testing Device Using Low-Cost Hardware and Open-Source Software

Strojniški vestnik – Journal of Mechanical Engineering ◽

10.5545/sv-jme.2019.6418 ◽

2020 ◽

Vol 66 (3) ◽

pp. 155-163 ◽

Cited By ~ 1

Author(s):

Matej Kranjec ◽

Jernej Korinšek ◽

Miha Ambrož ◽

Robert Kunc

Keyword(s):

Control System ◽

Tensile Testing ◽

Soft Tissues ◽

Low Cost ◽

Raspberry Pi ◽

Material Research ◽

Testing Device ◽

Controlling System ◽

Comparison Of The Results

The aim of this study is to verify whether a Raspberry Pi 3 B+ can be utilized as a low-cost device for controlling a tensile-testing device used for material research purposes. A list of requirements based on already-available hardware was drawn up, which the new control system had to fulfil. To connect all the necessary equipment, a connection board was constructed, and some additional hardware was acquired for the system to be able to perform all the necessary tasks. The whole controlling system was also put in a small enclosure to make it portable. The control-system software was written in C++ using the Pigpio library. The developed system was then tested, and the results were compared to a commercially available Instron 8802 device. A comparison of the results shows that the upgraded equipment can produce comparable results to commercially available devices and is sufficiently accurate to be applied for research purposes for the characterization of soft tissues and other materials.

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Evaluation of Food Fineness by the Bionic Tongue Distributed Mechanical Testing Device

Sensors ◽

10.3390/s18124250 ◽

2018 ◽

Vol 18 (12) ◽

pp. 4250

Author(s):

Jingjing Liu ◽

Ying Cui ◽

Yizhou Chen ◽

Wei Wang ◽

Yuanyuan Tang ◽

...

Keyword(s):

Mechanical Testing ◽

Evaluation Model ◽

Areal Density ◽

Practical Significance ◽

Testing Device ◽

Tongue Movements ◽

Tongue Surface ◽

Mechanical Information ◽

Set Up

In this study, to obtain a texture perception that is closer to the human sense, we designed eight bionic tongue indenters based on the law of the physiology of mandibular movements and tongue movements features, set up a bionic tongue distributed mechanical testing device, performed in vitro simulations to obtain the distributed mechanical information over the tongue surface, and preliminarily constructed a food fineness perception evaluation model. By capturing a large number of tongue movements during chewing, we analyzed and simulated four representative tongue movement states including the tiled state, sunken state, raised state, and overturned state of the tongue. By analyzing curvature parameters and the Gauss curvature of the tongue surface, we selected the regional circle of interest. With that, eight bionic tongue indenters with different curvatures over the tongue surface were designed. Together with an arrayed film pressure sensor, we set up a bionic tongue distributed mechanical testing device, which was used to do contact pressure experiments on three kinds of cookies—WZ Cookie, ZL Cookie and JSL Cookie—with different fineness texture characteristics. Based on the distributed mechanical information perceived by the surface of the bionic tongue indenter, we established a food fineness perception evaluation model by defining three indicators, including gradient, stress change rate and areal density. The correlation between the sensory assessment and model result was analyzed. The results showed that the average values of correlation coefficients among the three kinds of food with the eight bionic tongue indenters reached 0.887, 0.865, and 0.870, respectively, that is, a significant correlation was achieved. The results illustrate that the food fineness perception evaluation model is effective, and the bionic tongue distributed mechanical testing device has a good practical significance for obtaining food texture mouthfeel information.

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