CALIBRATION PROCEDURE AND UNCERTAINTY ANALYSIS OF AN ELECTRONIC SCALE BASED ON TWO-CURRENT SOURCE SUPPLIED CIRCUIT
Original scientific paper The article presents the prototype version of an original weight scale in which a non-conventional supplying circuit of strain gauge load cells is applied. The paper discusses construction of an electrical circuit, the way of strain gauge transducer connection and the measuring procedure. As far as the authors know, this novel electrical circuit and its application in a weight scale system have never been mentioned in literature. The specifications for directreading weight scales typically include readability, repeatability, linearity and eccentricity. The values of these parameters were estimated and used for calculation of the weight measurement uncertainty in the tested measuring range of the designed device.
Nonlinear calibration of resistance strain type electronic balance and its application in industrial sorting system
The measuring error in high precision electronic balance mainly results from the nonlinear error of weighting sensor. To deal with this problem, a novel adaptive segmenting best-fitting method is proposed in this paper to reduce the nonlinear error in the weighting sensor. A resistance strain type electronic balance manufactured by Shanghai Jing Tian Electronic Instrument Co., Ltd is used as the testing platform. The measuring results show that electronic balance can achieve the accuracy of 1 milligram within the temperature range from -10□ to 40□. And the measuring error is significantly reduced by this approach. Moreover, the improved electronic balance is applied to industrial sorting. And the design of a badminton ball head sorting system with a high sorting accuracy is accomplished and illustrated in this paper.
Science Buddies: Advancing Informal Science Education
An innovative nonprofit enables scientists to present inspiring project ideas based on their own research to K–12 students, parents, and teachers. Every year, about 10 million North American kindergarten through high school (K–12) students complete a science project. What part of these science projects is the most difficult? Formulating a hypothesis? Designing an experiment? Analyzing data? The answer: None of the above. Science Buddies (www.sciencebuddies.org)—a nonprofit developer of software, content, and other resources for informal science and engineering education—found that students have the most difficulty selecting a topic and doing background research to inform their work. Meanwhile, scientists and engineers interested in advising and inspiring students often do not have a means to connect with them (see the first figure). To Science Buddies, these difficulties presented an ideal challenge, and we applied a business methodology to address them, viewing our users as customers and our output as products.