Academic literature on the topic 'Load cell'

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Journal articles on the topic "Load cell"

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Gongora-Rubio, Mário R., M. Roberti, Z. M. da Rocha, and L. Fraigi. "LTCC Post Load Cell." Journal of Microelectronics and Electronic Packaging 3, no. 4 (October 1, 2006): 169–76. http://dx.doi.org/10.4071/1551-4897-3.4.169.

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This paper presents the development of a force post compressive load cell, fabricated using Low Temperature Cofired Ceramics (LTCC) technology. It was implemented as an LTCC mechanical load cell structure with a z-axis thick film strain gage using two different approaches. Fabrication methods and materials are explored in this work and fabricated devices are presented. This paper will also present the results of initial electromechanical sensitivity to load force and temperature tests. Compressive force behavior is consistent, in a strain level up to 1.500 micro-strain.
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Bowen, Anthony. "Load Cell Applications Offshore." Measurement and Control 38, no. 6 (July 2005): 175–78. http://dx.doi.org/10.1177/002029400503800602.

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Pratama, Bobby Noval. "Effect of Load Cell Load Calibration on Electric Wheelchair." Brilliance: Research of Artificial Intelligence 2, no. 3 (June 13, 2022): 77–80. http://dx.doi.org/10.47709/brilliance.v2i3.1547.

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A wheelchair is an assistive device for patients who are seriously injured or ill. Especially for people with disabilities or people who can't walk using their feet. For patients who experience total paralysis such as pain in the nerves to move the wheelchair, someone needs to push the wheelchair. If there is no one around the patient, the patient has difficulty moving the wheelchair using his hands and feet to change positions. In this research, an electric wheelchair has been created using a load cell control with body position as the driving output. Based on the test results, if the body leans forward then the wheelchair moves forward, if the body leans back then the wheelchair moves backwards, If the body leans to the left then the wheelchair moves to the left and if the body leans to the right then the wheelchair moves to the right. This study aims to analyze the ability of the load cell as the propulsion output of the electric wheelchair to the user's weight. In the results of the study, it can be seen that body weight can have a greater effect if the user's mass is getting heavier.
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Osman, Seifelnasr Mahmoud, Rolf Kumme, Hany Mohamed El-Hakeem, Frank Loeffler, Ebtisam Hsan Hasan, Ragaie Mohamed Rashad, and Fawzaia Hanem Kouta. "Multi-capacity load cell prototype." ACTA IMEKO 5, no. 3 (November 4, 2016): 64. http://dx.doi.org/10.21014/acta_imeko.v5i3.310.

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<p class="Abstract"><span>This article illustrates an advanced approach in force measurement standards. It gives a spot on the design, manufacturing and evaluation for a prototype of force transducer with multi-capacity. This prototype has three adjustable capacities (5kN, 10kN and 15kN) and works on compression mode. The introduced design offers a comparative load cell looking forward to replace three force transducers with the same capacities (5kN, 10kN and 15kN) which are commercially available. Experimental results reveal satisfactory agreements with that calculated with analytical method and results simulated using finite element techniques. The detailed metrological characteristics of this multi-capacity load cell will be published later.</span></p>
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Vallascas, Rinaldo, and Gian Franco Porcu. "Directional load‐cell anemometric probe." Review of Scientific Instruments 60, no. 8 (August 1989): 2740–44. http://dx.doi.org/10.1063/1.1140651.

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Nielsen, H. A. "THE TEN DOLLAR LOAD CELL." Experimental Techniques 12, no. 2 (February 1988): 21–24. http://dx.doi.org/10.1111/j.1747-1567.1988.tb02101.x.

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NAKANO, Osamu, Norimitsu KISHI, Ken-ichi G. MATSUOKA, and Yukio GOTO. "Trial manufacture of load cell for measurement of impact load." Doboku Gakkai Ronbunshu, no. 453 (1992): 155–61. http://dx.doi.org/10.2208/jscej.1992.453_155.

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Fernandez, Rajan. "Multi-Axis Load Cell Designs Employing Multiple Shear Beams." Applied Mechanics and Materials 226-228 (November 2012): 1981–86. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1981.

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Binocular and parallel plate structure load cells are very successful designs for strain based measurements of shear loads. In this paper we use finite element methods (FEM) to investigate the suitability of these two load cell designs for use in a force plate and compare the sensitivity of these two force plates to that of the Heglund’s force plate. Each force plate is also sensitive to two moments with axis in the same plane as the force plate. If the force plate is to be used as a two component force-moment sensor, we determine which moment axis is best to use. Finally, a novel six-axis load cell is modelled by assembling three force plates together with rotational symmetry. The sensitivity of the six-axis load cell is calculated using FEM. Analysis of the six axis load cell predicts good measurement sensitivity and isotropy while maintaining low interference between measurement axes. Further benefits of the load cell design are discussed.
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Atawi, Ibrahem E., Ahmed M. Kassem, and Sherif A. Zaid. "Modeling, Management, and Control of an Autonomous Wind/Fuel Cell Micro-Grid System." Processes 7, no. 2 (February 8, 2019): 85. http://dx.doi.org/10.3390/pr7020085.

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This paper proposes a microelectric power grid that includes wind and fuel cell power generation units, as well as a water electrolyzer for producing hydrogen gas. The grid is loaded by an induction motor (IM) as a dynamic load and constant impedance load. An optimal control algorithm using the Mine Blast Algorithm (MBA) is designed to improve the performance of the proposed renewable energy system. Normally, wind power is adapted to feed the loads at normal circumstances. Nevertheless, the fuel cell compensates extra load power demand. An optimal controller is applied to regulate the load voltage and frequency of the main power inverter. Also, optimal vector control is applied to the IM speed control. The response of the microgrid with the proposed optimal control is obtained under step variation in wind speed, load impedance, IM rotor speed, and motor mechanical load torque. The simulation results indicate that the proposed renewable generation system supplies the system loads perfectly and keeps up the desired load demand. Furthermore, the IM speed performance is acceptable under turbulent wind speed.
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AliAl-Juboori, Firas, and Namariq Sami AL-Dahwi. "Load Balancing Algorithm based Adaptive Handovers and Target Cell Load Estimation." International Journal of Computer Applications 84, no. 17 (December 18, 2013): 22–25. http://dx.doi.org/10.5120/14679-2053.

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Dissertations / Theses on the topic "Load cell"

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Mariani, D'Altri Cristina. "Study of a load cell: calculation of load cell parameters and study of a weighing process." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25602/.

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This thesis had two main purposes: the first one was to calculate the elastic constant and the damping factor of the load cell; the second goal was to develop a high speed weighing process, a procedure for achieving a mass estimate within 100 milliseconds with a precision of 0.5%. The work has been conducted during an internship in Nanolever s.r.l., a company which designs industrial weighing systems. Regarding the first goal, the obtained results consist in an elastic constant k = (22741 ± 53)N/m and a damping factor ζ = 0.0107 ± 0.0007. The next part of the project allowed the achievement of mass estimates of a mass sample without all the data points of the settling transient of the load cell. I obtained the results thanks to two methods: firstly, a MATLAB fitting of the graph, then another fitting procedure but with Python. As a complessive final result, for a set of data acquired in 10 milliseconds, Python returned mass estimates with a precision of about 0.5% - 1%, whereas MATLAB presented analogous outcomes with a bit lower precision, ranging from 1% to 2%. By observing the results, a minimum precision of 0.5%, as required, is reached by analising data samples acquired in 50 ms. Moreover, all the time results exceeded the prefixed time limit of 100 ms: Python fitting shown a computing time of about 120 - 140 ms and MATLAB 130 - 160 ms. To conclude, a method for estimating the mass of an object without having all the data points of the settling transient of the load cell has been developed. Unfortunately, to gain the required precision the time limit of 100 ms has been exceeded; however, this fact may lead to future studies which will be able to allow the hoped results with more advanced technology and improved working methods.
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Lackey, John David. "Non-Intrusive Fuel Cell Load Interaction Monitoring." Thesis, Montana State University, 2006. http://etd.lib.montana.edu/etd/2006/lackey/LackeyJ0506.pdf.

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This thesis presents the development of a non-intrusive method for monitoring fuel cells. The instrumentation demands that only the readily accessible AC output terminals of the fuel cell be monitored, making it easy to install on an existing fuel cell. The monitoring hardware senses the current and voltage output of the fuel cell and converts the measurements into the digital domain. The original algorithm to process the data was the Non-Intrusive Load Monitor (NILM) system which detects specific events, classifies and stores them. The software that is described in this thesis is a data specific compression algorithm that is used to store a continuous stream of measurements so that it can be processed off line. This gives the user the ability to search for critical interactions between the fuel cell and loads in the system after the fact, rather than demanding that load and interaction dynamics be known before the monitor is installed.
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Joshi, Raoul, and Per Sundström. "WCDMA Cell Load Control in a High-speed Train Scenario : Development of Proactive Load Control Strategies." Thesis, Linköpings universitet, Kommunikationssystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84635.

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Load control design is one of the major cornerstones of radio resource management in today's UMTS networks. A WCDMA cell's ability to utilize available spectrum efficiently, maintain system stability and deliver minimum quality of service (QoS) requirements to in-cell users builds on the algorithms employed to manage the load. Admission control (AC) and congestion control (CC) are the two foremost techniques used for regulating the load, and differing environments will place varying requirements on the AC and CC schemes to optimize the QoS for the entire radio network. This thesis studies a real-life situation where cells are put under strenuous conditions, investigates the degrading effects a high-speed train has on the cell's ability to maintain acceptable levels of QoS, and proposes methods for mitigating these effects. The scenario is studied with regard to voice traffic where the limiting radio resource is downlink power. CC schemes that take levels of fairness into account between on-board train users and outdoor users are proposed and evaluated through simulation. Methods to anticipatorily adapt radio resource management (RRM) in a cell to prepare for a train is proposed and evaluated through simulation. A method to detect a high-speed train in a cell, and the users on it, is outlined and motivated but not simulated. Simulation results are promising but not conclusive. The suggested CC schemes show a surprising tendency towards an increase in congestion avoidance performance. Proactive RRM shows a significant increase in QoS for on-board users. No negative effects to users in the macro environment is noticed, with regard to the studied metrics.
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Parker, Sian Marie. "The effect of mechanical load on human mesenchymal stem cell differentiation." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492845.

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Mesenchymal stem cells (MSCs) are multipotent stem cells, derived from bone marrow. Induction of MSC differentiation in vitro can occur with the appropriate culture conditions and more recently, the application of mechanical load has been implicated in MSC differentiation. Cells derived from MSCs, namely chondrocytes and osteoblasts have previously been shown to respond to mechanical load in vitro, and cartilage and bone are known to experience coinpressive tensile and shear forcesin vivo. A lack of mechanical load is known to affect MSC differentiation, however to date the effect of mechanical load on MSC differentiation potential has yet to be determined.
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Robinson, Gordon M. "Genetic algorithm optimisation of load cell geometry by finite element analysis." Thesis, City University London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307876.

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Hoffman, Benjamin R. "Six-Component Load Cell Design for Use in Force Measurement Platforms." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1383950379.

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Nyembe, Wiseman Nkosingiphile. "Load balancing using cell range expansion in LTE advanced heterogeneous networks." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20338.

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The use of heterogeneous networks is on the increase, fueled by consumer demand for more data. The main objective of heterogeneous networks is to increase capacity. They offer solutions for efficient use of spectrum, load balancing and improvement of cell edge coverage amongst others. However, these solutions have inherent challenges such as inter-cell interference and poor mobility management. In heterogeneous networks there is transmit power disparity between macro cell and pico cell tiers, which causes load imbalance between the tiers. Due to the conventional user-cell association strategy, whereby users associate to a base station with the strongest received signal strength, few users associate to small cells compared to macro cells. To counter the effects of transmit power disparity, cell range expansion is used instead of the conventional strategy. The focus of our work is on load balancing using cell range expansion (CRE) and network utility optimization techniques to ensure fair sharing of load in a macro and pico cell LTE Advanced heterogeneous network. The aim is to investigate how to use an adaptive cell range expansion bias to optimize Pico cell coverage for load balancing. Reviewed literature points out several approaches to solve the load balancing problem in heterogeneous networks, which include, cell range expansion and utility function optimization. Then, we use cell range expansion, and logarithmic utility functions to design a load balancing algorithm. In the algorithm, user and base station associations are optimized by adapting CRE bias to pico base station load status. A price update mechanism based on a suboptimal solution of a network utility optimization problem is used to adapt the CRE bias. The price is derived from the load status of each pico base station. The performance of the algorithm was evaluated by means of an LTE MATLAB toolbox. Simulations were conducted according to 3GPP and ITU guidelines for modelling heterogeneous networks and propagation environment respectively. Compared to a static CRE configuration, the algorithm achieved more fairness in load distribution. Further, it achieved a better trade-off between cell edge and cell centre user throughputs. [Please note: this thesis file has been deferred until December 2016]
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Gardner, Oliver. "The regulation of human mesenchymal stem cell chondrogenesis through multiaxial load." Thesis, Cardiff University, 2015. http://orca.cf.ac.uk/86970/.

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The repair of damaged articular cartilage remains a clinical problem despite the development of numerous surgical approaches for cartilage regeneration. As result new options for therapeutic approaches are being sought. One of the candidate cell types for cartilage repair are mesenchymal stem cells (MSCs). These cells can be isolated from a number of different tissues and have the ability to differentiate down several different mesenchymal lineages. This thesis focused on the use of MSCs for repairing damaged articular cartilage. Specifically I investigated the effect of producing regenerative medicine type constructs containing different populations of MSCs on the induction of chondrogenesis in response to mechanical load, compared the induction of chondrogenesis in MSCs through the application of exogenous TGF-β1 and multiaxial mechanical load and identified potentially novel markers of MSC chondrogenesis. The results presented in this thesis show that the induction of chondrogenesis in MSCs can be manipulated by producing constructs that contain separate populations of MSCs. The work demonstrated that seeding a layer of MSCs on the loaded surface of a fibrin-poly(ester-urethane) scaffold could increase the deposition of histologically detectable matrix. However, it was not possible to determine the mechanism responsible for this. Comparison of the secretomes of MSCs stimulated with TGF-β1 and mechanical load showed that these two forms of chondrogenic stimulation are not analogous and that a number of markers, including GRO and MMP13 may be useful for monitoring the progression of MSCs through chondrogenesis and hypertrophy. These data provide further insights into the effect of joint-like load on MSCs within tissue engineering/regenerative medicine style constructs, and the chondrogenic response of MSCs to this stimulation, which may prove to be useful for the development of constructs for cartilage repair.
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Dave, Amy V. "Antigen load and cytokine requirements for CD8 T cell memory generation." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p1465071.

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Thesis (M.S.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed June 19, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 54-60).
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Piyasin, Surasith. "The design of the hollow-bore clevis-pin type of load cell." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322937.

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Books on the topic "Load cell"

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Beebe, M. Frontal occupant sled simulation correlation: Vehicle to fixed load cell barrier : 1980 Ford Mustang into a fixed load cell barrier at 29.9 mph. [Washington, DC]: U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 1985.

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Thomas, Gethin Penar. Load responsiveness of bone marrow stromal cells. Birmingham: University of Birmingham, 1994.

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Organisation Internationale de Métrologie Légale. Metrological regulation for load cells =: Réglementation métrologique des cellules de pesée. Paris: OIML, 1991.

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Symposium on Load Leveling and Energy Conservation in Industrial Processes (1986 Boston, Mass.). Proceedings of the Symposium on Load Leveling and Energy Conservation in Industrial Processes. Pennington, NJ (10 S. Main St., Pennington 08534-2896): The Electrochemical Society, 1986.

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Center, Ames Research, ed. Experimental techniques for three-axes load cells used at the national full-scale aerodynamics complex. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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Anne, Bisese, and United States. National Aeronautics and Space Administration., eds. Introduction to magnetic bearings. [Washington, DC: National Aeronautics and Space Administration, 1993.

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Légale, Organisation Internationale de Métrologie. Test report format for the evaluation of load cells: (Annex A toOIML R 60, 1991 edition) = Format du rapport d'essai des cellules de pes'ee : (Annexe A à OIML R 60, édition 1991). Paris: OIML, 1993.

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Wilson, John W., and Lynn L. Estes. Antiretroviral Therapy for HIV Infection. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199797783.003.0134.

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• Obtain confirmatory human immunodeficiency virus (HIV) testing by rapid test or enzyme-linked immunosorbent assay (ELISA); optimally repeat HIV viral load (VL) and CD4 T-cell (CD4) count 2 times before initiation of therapy; a substantial change in CD4 count is generally >30%• Perform VL immediately before treatment initiation (or change in therapy) and again 2–8 weeks later; for the latter, the optimal decrease would be at least 1 log...
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Goodall, Howard. Lord Is My Shepherd: Cello, Part. Faber & Faber, Limited, 2005.

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Stein, P., and T. Kemeny. Golden Book of Strain Gages, Load Cells and Brittle Coatings. Nova Science Pub Inc, 1991.

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Book chapters on the topic "Load cell"

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Gooch, Jan W. "Load Cell." In Encyclopedic Dictionary of Polymers, 432. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_6995.

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Yoshida, Takeshi, and Kazuo Nakayama. "6-Component Load Cell for Automobile Wheel." In Mechanical Problems in Measuring Force and Mass, 99–107. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4414-5_12.

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Hricko, Jaroslav. "Design and Shape Optimization of Novel Load Cell." In Advances in Intelligent Systems and Computing, 80–87. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49058-8_9.

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Aneesha, Acharya K., Somashekara Bhat, and M. Kanthi. "Load Cell and FSR-Based Hand-Assistive Device." In Advances in Intelligent Systems and Computing, 148–56. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6584-7_15.

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Soni, Sneh, Umang Prajapati, and Rushabh Gandhi. "Multifunctional Load Cell and RFID with Stock Management." In Advances in Automation, Signal Processing, Instrumentation, and Control, 1099–106. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_103.

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Li, Chia-Cheng, Mahshid Kharaziha, Christine Min, Richard Maas, and Mehdi Nikkhah. "Microfabrication of Cell-Laden Hydrogels for Engineering Mineralized and Load Bearing Tissues." In Engineering Mineralized and Load Bearing Tissues, 15–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22345-2_2.

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Allalou, Amin, Frans M. van de Rijke, Roos Jahangir Tafrechi, Anton K. Raap, and Carolina Wählby. "Image Based Measurements of Single Cell mtDNA Mutation Load." In Image Analysis, 631–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73040-8_64.

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Yanbing, Ma, and Zhang Zupei. "Temperature Effect and Compensation of Strain Gage Load Cell." In Mechanical Problems in Measuring Force and Mass, 303–11. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4414-5_35.

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Parrock, A. L., H. de Wet, W. F. Hartley, and J. A. Hayes. "Use of the Osterberg Cell for pile load evaluation." In Geotechnics for Developing Africa, 389–97. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003211174-55.

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Patidar, Vijay Kumar, Suneet Kaur, and Nitin Dindorkar. "Bi-directional Static Pile Load Test by S-Cell Method." In Lecture Notes in Civil Engineering, 11–20. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3662-5_2.

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Conference papers on the topic "Load cell"

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Martínez Serrano, Francisco Javier, Alma A. Camacho P., Marcos Hermilo Rodríguez, and Paulina Borbón Ossio. "Load cell strain measurement in load cell using opto-electronics methods." In Fifth Symposium, edited by Eric Rosas, Rocío Cardoso, Juan C. Bermudez, and Oracio Barbosa-García. SPIE, 2006. http://dx.doi.org/10.1117/12.674621.

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Fiorin, Rodrigo, Larissa N. da Costa, Ilda Abe, Valmir de Oliveira, Andre Lohmann, and Hypolito J. Kalinowski. "Microstructure-FBG hybrid load cell." In OFS2014 23rd International Conference on Optical Fiber Sensors, edited by José M. López-Higuera, Julian D. C. Jones, Manuel López-Amo, and José L. Santos. SPIE, 2014. http://dx.doi.org/10.1117/12.2059415.

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Baer, Patrick H. "3 Load Cell Tumble Meter Development." In Motorsports Engineering Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2008. http://dx.doi.org/10.4271/2008-01-3004.

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Giusca, C. L., S. Goel, I. Llavori, R. Kumme, O. Baer, A. Prato, and A. Germak. "DIGITAL REPRESENTATION OF A LOAD CELL." In Joint IMEKO TC3, T5, TC16 and TC22 International Conference. Budapest: IMEKO, 2023. http://dx.doi.org/10.21014/tc3-2022.026.

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Raida, Vaclav, Martin Lerch, Philipp Svoboda, and Markus Rupp. "Deriving Cell Load from RSRQ Measurements." In 2018 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2018. http://dx.doi.org/10.23919/tma.2018.8506494.

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Wang, Yongbin, Shanzhi Chen, Hong Ji, and Heli Zhang. "Load-aware dynamic biasing cell association in small cell networks." In ICC 2014 - 2014 IEEE International Conference on Communications. IEEE, 2014. http://dx.doi.org/10.1109/icc.2014.6883729.

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Post, Bart, and Sem Borst. "Load-Driven Cell Assignment Algorithms for Dense Pico-Cell Networks." In 2017 29th International Teletraffic Congress (ITC 29). IEEE, 2017. http://dx.doi.org/10.23919/itc.2017.8064337.

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Wensink, Henk, Meint J. de Boer, Remeo J. Wiegerink, Robert A. Zwijze, and Miko C. Elwenspoek. "First micromachined silicon load cell for loads up to 1000 kg." In Micromachining and Microfabrication, edited by Patrick J. French and Kevin H. Chau. SPIE, 1998. http://dx.doi.org/10.1117/12.323918.

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Chou, Guan-Ting, Kuang-Hao Stanley Liu, and Szu-Lin Su. "Load-based cell association for load balancing in heterogeneous cellular networks." In 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2015. http://dx.doi.org/10.1109/pimrc.2015.7343569.

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Dylan Tsai, Chia-Hung, Mitsuhiro Horade, Hiroaki Ito, Makoto Kaneko, and Motomu Tanaka. "High-resolution cell manipulation for longstanding load on red blood cells." In 2016 IEEE International Conference on Mechatronics and Automation. IEEE, 2016. http://dx.doi.org/10.1109/icma.2016.7558684.

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Reports on the topic "Load cell"

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Johnson, Trevor Todd. Piezoelectric Load Cell Literature Review. Office of Scientific and Technical Information (OSTI), May 2019. http://dx.doi.org/10.2172/1514903.

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Yee, Kenneth W. Automation of strain-gauge load-cell force calibration. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4823.

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Follett, Jordan R. Cone Penetrometer Load Cell Temperature and Radiation Testing Results. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1129799.

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Key, T. S., H. E. Sitzlar, and T. D. Geist. Fast Response, Load-Matching Hybrid Fuel Cell: Final Technical Progress Report. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/15003880.

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Scott, J. Design of a custom load cell for a precision assembly application. Office of Scientific and Technical Information (OSTI), October 1989. http://dx.doi.org/10.2172/5359730.

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PLIMPTON, STEVEN J., DAVID B. SEIDEL, MICHAEL F. PASIK, and REBECCA S. COATS. Load-balancing techniques for a parallel electromagnetic particle-in-cell code. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/751032.

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Snow, Ross D., James R. Garner, and J. Michael Whitaker. Developing Load Cell Monitoring on the Mock UF6 Feed and Withdrawal System. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1089771.

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Meldrum, William R. Remote Mine Area Clearance Equipment (MACE) C-130 Load Cell Test Data. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada472492.

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Holcomb, Greg D. Design and Software Development of Automated Data Acquisition System for Load Cell Calibration. Fort Belvoir, VA: Defense Technical Information Center, July 1998. http://dx.doi.org/10.21236/ada370991.

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Mitchell, Richard A., Simone L. Yaniv, Kenneth Yee, and Otto K. Warnlof. Intercomparison of load cell verification tests performed by national laboratories of five countries. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4101.

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