scholarly journals Low-Level Liquid Scintillation Counter Array with Computerized Data Acquisition and Age Calculation Capabilities for 14C Dating

Radiocarbon ◽  
1995 ◽  
Vol 37 (2) ◽  
pp. 773-779
Author(s):  
J. E. Noakes ◽  
J. D. Spaulding ◽  
R. J. Valenta

We describe a two-phase study directed toward background reduction of a manual liquid scintillation counter and the interfacing of electronics for counting to a computer data acquisition system. Counter background reduction is achieved with afterpulse electronics, a high-performance cocktail, an auxiliary detector/guard and a special sample vial holder. The data acquisition system is comprised of an electronic signal processor and sorter for operating up to eight counters simultaneously and interfacing to a computer with software for data storage, acquisitions and age dating calculations. We discuss low-background counter modifications, electronic signal processing and computer software for 14C age dating.

Author(s):  
Emin Yilmaz

Since the ASYST data acquisition and analysis software was discontinued and the old versions of ASYST do not support new computer operating systems and new data acquisition boards, old computer data acquisition (CDAQ) system is being replaced with a new data acquisition system. The new microcomputer based data acquisition system consists of an i-3 microcomputer with 3.0 GHz CPU and Windows-7 operating system, a Data Translation (DT) DT-304, 12-bit, 400 MHz data acquisition board with STP-300 screw terminal, Data Translation Measure Foundry (DT-MF) software and DT-LV link software [2], a National Instruments (NI) PCI-6250, M-series, low level, 16-bit, 1.25 MS/s board with 4-module SCC-68 I/O Connector Block, four thermocouple-input plug-in modules and NI LabVIEW (NI-LV) software [4]. Data Translation’s DT-LV software links DT boards with NI-LV software. Most ASYST-based data acquisition and analysis application programs used in Mechanical Engineering Technology (MET) courses have been converted to NI-LV and DT-MF application programs. Purpose of this paper is to describe how our old data acquisition application programs were converted to new data acquisition application programs so that they may be used with our new data acquisition system. Descriptions of the experiments, equipment used, and experiences gained with laboratory experiments are given elsewhere [8–13]. Specifically: Reference [8] covers upgrades made to the Materials Testing Laboratory, including Tinius-Olsen [14] tensile testing machine; reference [9] covers design and development of data acquisition programs for the materials testing, including Tensile Testing of Materials experiment; references [11] and [12] cover Heating Ventilating and Air Conditioning (HVAC) experiments and use of DAQ system in these experiments; reference [13] cover all uses of DAQ system in MET at University of Maryland Eastern Shore (UMES).


2019 ◽  
Vol 252 ◽  
pp. 06001
Author(s):  
Andrzej Sumorek ◽  
Marcin Buczaj

Rolling machines are often used for forming flat elements or pipes. Problems occur when used to produce cylindrical elements other than pipes, or when experimental materials are used. It is required to introduce flexible control of the rolling process parameters in such cases. It is necessary to monitor the device operating parameters. When a rolling machine works with experimental materials, there are no typical control and acquisition data systems available. The article presents the concept and capabilities of the control and computer data acquisition system supporting the rolling process. The main task of software system is acquisition of force and kinetic parameters related to the analysed process of the compression during rolling. This system allows current recording and analysis of five physical values. The acquisition data application is developed in National Instruments LabVIEW environment. The software algorithm is based on the state machine. The article contains a detailed description of hardware and software implementation of the functions mentioned.


1975 ◽  
Vol 22 (1) ◽  
pp. 547-550
Author(s):  
W. B. Boyer ◽  
R. F. Davis ◽  
J. L. Krone ◽  
J. E. Powell

Radiocarbon ◽  
1995 ◽  
Vol 37 (2) ◽  
pp. 781-787 ◽  
Author(s):  
Adam Michczyński ◽  
Tomasz Goslar ◽  
Anna Pazdur ◽  
Mieczysław F. Pazdur

We present here the principal ideas of a new, fully computerized data acquisition system with pulse-rise background reduction, developed in the Gliwice Radiocarbon Laboratory, and our first results. The new system uses a microprocessor-controlled pulse and coincidence analyzer for acquisition of data from 3 of 4 proportional counter sets. The analyzer acquires and stores information on the pulse's amplitudes and rise-times and their coincidence with guard counters and radio-frequency shield. This feature allows us to separate pulses using anticoincidence information and pulse-shape discrimination. The described method of background reduction led to a significant increase in the factor of merit on 2 of 3 counters tested.


Author(s):  
Emin Yilmaz

The current project is an extension of the original “ETME 475-Mechanical Systems Design” course project with a new National Instruments data acquisition board, a newly developed LabVIEW data acquisition program, and with a more realistic heat transfer loop. The study covers performance of our heat pump operating in A/C mode as well as in heating mode with a commercial desuperheater (a cross-flow heat exchanger). For this project, the experimental set up consisted of a desuperheater spliced into Trane XL1000, 2-ton, 10-SEER heat pump and a heat transfer loop with a 72-liter hot water storage tank. The instrumentation consisted of seven copper-constantan thermocouples and a LabVIEW-based computer data acquisition system. The thermocouples were used to measure refrigerant, water, indoor air and ambient air temperatures. The LabVIEW based computer data acquisition system was used to record temperatures. Indoor airflow rate was previously measured using Alnor LoFlo balometer. Results indicate that, depending on the water temperature in the desuperheater, heat pump Coefficient of Performance (COP) dropped 6–18% in A/C mode and 8–38% in heating mode. Again depending on the average water temperature in the desuperheater, the desuperheater efficiencies ranged from 12% to 27% for cooling and 11% to 39% for heating. Although even modifying an existing LabVIEW program was a challenge, the student who worked on it and the author has gained very valuable experience and enjoyed the work.


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