scholarly journals Water Bath Calibration Device with Data Storage Using Six Thermocouple Sensor

Author(s):  
Yanti Kusumawardani ◽  
Endang Dian Setioningsih ◽  
Dyah Titisari

Uneven distribution of temperature in the chamber water bath can cause the temperature conditions in the chamber are not the same. Temperature, humidity, atmospheric pressure, and dust particles are the main factors which adversely affect the accuracy of water bath’s temperature. Therefore, the purpose of this study is to design a calibration device for water bath with number of channel 6. In this study the system can detect temperatures at each chamber point. The K-type Thermocouple sensor is used to detect the temperature at each chamber point with the help of the MAX6675 module as a signal conditioning amplifier. The sensor readings will be displayed on a Personal Computer using a USB cable, the sensor readings can be stored on a Personal Computer in the form of a TXT so that data can be reprocessed using Microsoft Excel for further calibration purposes. This study aims to facilitate the calibration process and the processing of calibration data. The results of digital measurements obtained a temperature error value of 40 ° C channel 1 1,4 %, channel 2 1.8%, channel 3 0.4%, channel 4 0.2%, channel 5 0.2% and channel 6 0.2%.Temperature 50 ° C channel 1 2.25%, channel 22.26%, channel 3 2.00%, channel 4 2.44%, channel 5 2% and channel 6 1.6%. S.uhu 60 ° C channel 1 0.3%, channel 20.6%, channel 3 0.5%, channel 4 1.5%, channel 5 2% and channel 6 1.8%. Based on the test results, this module has the lowest error of 0.2% and the highest error of 2.44%. The results of this research can be implemented as a Water Bath calibration tool to maintain the temperature stability of the instrument

Author(s):  
Laily Nurrohmah ◽  
Dwi Herry Andayani ◽  
Andjar Pudji

Baby incubators are used for premature babies where babies are born prematurely. To ensure the accuracy of medical devices, periodic tests and controls need to be carried out aimed at reducing the risk of measurement. The baby incubator can be tested with a calibration device which is a device to calibrate temperature, noise, humidity, and airflow so that conditions remain stable and within normal limits. The purpose of this study was the development of a PC (Personal Computer) performing Incubator Analyzer with noise and airflow parameters. This type of research uses after only design. The standard incubator analyzer is not equipped with a PC and data processing via Excel, so the researchers created an Incubator Analyzer device that has four parameters to measure temperature, noise, humidity, and airflow. Using the Atmega328 Microcontroller as a data processor, equipped with sending data via Bluetooth HC-05 with data storage and output results will be displayed on a PC. Noise parameters using the Analog Sound Sensor V2 sensor and have the biggest error at 37oC setting temperature that is equal to 0.17%. While the airflow parameter uses an airflow sensor with type D6F-V3A01 and has the biggest error that is 0.5% at a temperature setting of 36oC and 37oC. The use of displays on personal computers and data processing using Excel, allows users to monitor calibration and data processing. The feasibility of this device is proven. Therefire, this design can be used for baby incubator calibration.


Author(s):  
Rizkiyatussani ◽  
Her Gumiwang Ariswati ◽  
Syaifudin

A temperature calibration device is a tool used to measure the accuracy of a temperature-related device such as a sterilisator. This temperature calibration device is needed when the temperature in the sterilisator is not linear. In this calibration tool the sensor used is a type-k thermocouple that is inserted into the media to be measured then the temperature results will be read. This tool is designed using pre-experimental methods with the type of after only design research. In this tool is equipped with storage on the micro sd card and also conversion mode to convert temperature results from Celsius to Rheamur, Farenheit and Kelvin. Temperature results will be displayed on a 4x20 LCD and processed using Arduino UNO. This module can be used in medical equipment calibration laboratories. After testing the thesis module with a comparison device from BPFK, the biggest error is obtained at 1% at 50 ° Celsius, 100 ° Celsius and 150 ° Celsius. The smallest percentage of error is 0% at 50 ° Celsius and 150 ° Celsius. It can be concluded that the tool "Temperature Calibrator (5 Channels) Using Thermocouple Equipped with Data Storage.


2013 ◽  
Vol 868 ◽  
pp. 306-309
Author(s):  
Wen Yan Nie ◽  
Zhong En Wang

Traditional microcomputer fault oscillograph cannot meet the requirements of coal mine substation to digital and networked. A double CPU and distributed coal mine fault oscillograph is presented, the device data acquisition unit of new fault oscillograph use high performance DSP chip TMS320LF2812 to complete signal acquisition and processing, and S3C2410 chip is used in data management unit to complete the data storage, display and communication function. Test results show that the new fault oscillograph could separately installed in each substation and has stable operation and high communication capacity advantages.


1990 ◽  
Author(s):  
Michael Koehl ◽  
K. Moeller ◽  
Bo Carlsson ◽  
Ulrich Frei ◽  
P. R. Dolley ◽  
...  

2005 ◽  
Vol 277-279 ◽  
pp. 789-794
Author(s):  
Young Hei Lim ◽  
Man Seok Uhm ◽  
Jong Heung Park

This paper presents the development of a Ka band Input Filter Assembly(IFA) with very low insertion loss and a high temperature stability suitable for a communication satellite transponder. The IFA consists of a cross directional test coupler to check the input signal level of the transponder and an input filter to pass the uplink band signals. The test results show good agreement with the simulation and compliant to the requirements with the temperature range from –20 °C to 60 °C. This IFA will be used for the communication satellite in Korea.


2013 ◽  
Vol 347-350 ◽  
pp. 2436-2441
Author(s):  
Fang Hou ◽  
Cheng Hui Huang ◽  
Ji Yuan Lu

Multi-dimensional applications use tree structure to store data and space filling curves to traverse data. Most frequently used Quad-tree and Z-ordering curve are analyzed. By importing these to a HDF5 file format, a multi-dimensional data storage subsystem is constructed. Performance test results show in a sequential reading application environment, this method is feasible and efficient.


2020 ◽  
Vol 14 (3) ◽  
pp. 360-368
Author(s):  
Benjamin Montavon ◽  
◽  
Philipp Dahlem ◽  
Martin Peterek ◽  
Robert H. Schmitt

Machine tool calibration and subsequent controller-based compensation are industrially established and research-intensive techniques used to monitor and increase the volumetric performance in high-precision manufacturing. Moreover, a variety of interim performance checks and integrated sensor approaches have been developed to predict volumetric performance degradation and avoid an economically undesirable downtime. However, the fragmentation of data acquisition and management limits the potential for additional insights with respect to the value creation based on existing methods in the field of machine tool calibration. The authors reviewed the former from the perspective of data sources according to the frequency of their contribution to the digital twin of a machine tool, adopting a digital view regarding machine tool calibration within the Internet of Production concept. The latter proposes a semantic separation of cyber physical production systems into four layers: data sources, data access and provisioning, storage and analytics, and user respective agent feedback. To achieve a common representation across different layers, devices, and industrial Internet protocols, a model-based abstraction layer is required, which must be compatible with existing standards within the field, e.g., the ISO 230 series. Utilizing different Internet of Production architectures and platforms, a multitude of parallel analytic applications and an evaluation of complex models are enabled owing to the availability of ample computing resources, among which the machine tool’s numerical controller takes the role of an edge-device injecting the feedback into the production process. A proof-of-concept of a digital approach to machine tool calibration data storage and processing was established based on the software prototype VoluSoft, which implements an ISO 230-1:2012 based abstraction layer in JavaScript Object Notation format, and an evaluation of the kinematic models to estimate the volumetric performance at the functional point. Apart from generating compensation tables, the results are used to project the expected deviation at the tool tip to the computer-aided design-model of a work piece, correlate the error motions using the temperature data acquired by integrated sensors, and estimate the contribution of the volumetric performance limitation to the uncertainty budget of on-machine measurements.


Author(s):  
Iqbal Azmi ◽  
Md Imam Faizan ◽  
Rohit Kumar ◽  
Siddharth Raj Yadav ◽  
Nisha Chaudhary ◽  
...  

A major bottleneck in scaling-up COVID-19 testing is the need for sophisticated instruments and well-trained healthcare professionals, which are already overwhelmed due to the pandemic. Moreover, the high-sensitive SARS-CoV-2 diagnostics are contingent on an RNA extraction step, which, in turn, is restricted by constraints in the supply chain. Here, we present CASSPIT (Cas13AssistedSaliva-based &SmartphoneIntegratedTesting), which will allow direct use of saliva samples without the need for an extra RNA extraction step for SARS-CoV-2 detection. CASSPIT utilizes CRISPR-Cas13a based SARS-CoV-2 RNA detection, and lateral-flow assay (LFA) readout of the test results. The sample preparation workflow includes an optimized chemical treatment and heat inactivation method, which, when applied to COVID-19 clinical samples, showed a 97% positive agreement with the RNA extraction method. With CASSPIT, LFA based visual limit of detection (LoD) for a given SARS-CoV-2 RNA spiked into the saliva samples was ~200 copies; image analysis-based quantification further improved the analytical sensitivity to ~100 copies. Upon validation of clinical sensitivity on RNA extraction-free saliva samples (n = 76), a 98% agreement between the lateral-flow readout and RT-qPCR data was found (Ct<35). To enable user-friendly test results with provision for data storage and online consultation, we subsequently integrated lateral-flow strips with a smartphone application. We believe CASSPIT will eliminate our reliance on RT-qPCR by providing comparable sensitivity and will be a step toward establishing nucleic acid-based point-of-care (POC) testing for COVID-19.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yuefeng Zhu ◽  
Yanwei Li ◽  
Chundi Si ◽  
Xiaote Shi ◽  
Yaning Qiao ◽  
...  

In recent years, the significant demand for sustainable paving materials has led to a rapid increase in the utilization of reclaimed asphalt pavement (RAP) materials. When RAP is mixed with virgin asphalt concrete, particularly when its percentage is high, performance of the binder and asphalt concrete can be adversely affected. For this reason, different types of additives need to be identified and evaluated beforehand to mitigate the adverse effects. In this study, different types of fiber materials were identified and selected as binder/mixture additives, including lignin fiber (LF), polyester fiber (PF), and basalt fiber (BF). Various samples of fiber-modified binders and asphalt mixtures with different RAP contents (0%, 20%, and 40%) were prepared and were evaluated using two sets of laboratory testing: (i) dynamic shear rheometer (DSR) and bending beam rheometer (BBR) tests were performed to study the rheological properties of fiber-modified binders; (ii) the wheel tracking test, bending creep test, moisture susceptibility test, fatigue test, and self-healing fatigue test were conducted to characterize the laboratory properties of fiber-modified RAP mixtures. Test results for the modified binders show that the BF-modified binder has the greatest positive effect on the high-temperature performance of the asphalt binder, followed by PF- and LF-modified binders. However, the virgin asphalt shows the best low-temperature property than the fiber-modified asphalt binder. Test results for the whole RAP mixtures show that all fibers have a significant effect on the properties (including high- and low-temperature stability, moisture susceptibility, fatigue, and self-healing ability) of RAP mixtures. Among them, adding BF shows the greatest improvement in high-temperature stability, fatigue resistance, and self-healing ability of RAP mixtures. LF is found to significantly enhance low-temperature properties, and PF can greatly improve the resistance to moisture damage of RAP mixtures. For high percentage of RAP using on sites, adding multiple additives may further enhance its durability.


Author(s):  
Alexander Pfeiffer ◽  
Simone Kriglstein ◽  
Stephen Bezzina ◽  
Nikolaus König ◽  
Thomas Wernbacher ◽  
...  

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