Displaying results 151 - 154 of 154 in total
- Conference Session
- Instrumentation Division Technical Session 1
- Collection
- 2015 ASEE Annual Conference & Exposition
- Authors
- Charles Birdsong, California Polytechnic State University
- Tagged Divisions
- Instrumentation
Design, Analysis, and Implementation for Reinforement of Controls Education," in ASEE Conference, 2006.[3] A. Mohammadzadeh and S. Haidar, "Analysis and Design of Vehicle Suspension System Using MATLAB and Simulink," in ASEE, 2006.[4] R. Throne, "Developing Models and an Understanding of Their Limitations," in ASEE, 2006.[5] C. Birdsong, "Developing A Matlab/Simulink Rtwt Based Hydraulic Servo Control Design Experiment," in ASEE Annual Conference & Exposition, Honolulu, 2007.[6] MathWorks, MATLAB, version 7, Natic, MA: Math Works, Inc., 2005.[7] MathWorks, Real-time Windows Target Userā€™s Guide Version 2, Natick, MA: Math Works, Inc., 2004.[8] N. Nise, Control Systems Engineering, Wiley & Sons, 2004.[9] F. Reys and R. Kelly
- Conference Session
- Instrumentation Division Technical Session 1
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
- Stephen A. Strom, Pennsylvania State University; Marius Strom, Saint Francis University
- Tagged Divisions
- Instrumentation
250 0 10000 20000 30000 40000 50000 60000 Resistance (W) Actual Values S-H Prediction Calibration Data Figure 7: NTC Thermistor ModelingDirect computation of the constants in the Steinhart-Hart equation can be accomplished asfollows, using three calibration points with resistances š¯‘…š¯‘› and temperatures š¯‘‡š¯‘› . Given thisprocess, the only required input is resistance, which can be measured indirectly via voltage. Thiscan be assessed by an appropriately sized voltage divider, as shown in Figure 8. Figure 8
- Conference Session
- Instrumentation Division Technical Session 2
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
- Daniel Dannelley, Embry-Riddle Aeronautical University, Prescott; Elliott Bryner, Embry-Riddle Aeronautical University
- Tagged Topics
- Diversity
- Tagged Divisions
- Instrumentation
exercise challenges student to consider what error(s)and considerations must be made to appropriately calibrate and characterize and instrumentwithout a step-by-step lab handout.4 - Strain Measurement, Signal Conversion, & Quantization ErrorsA strain gage is carefully mounted by students to an aluminum beam using a manufacturerā€™sinstallation and data sheet. With the gage affixed, the beam is mounted in a cantilever fashionafter which a series of weights are suspended to it in a sequential test. The resistance of the straingage is measured for each series of weights. Next, a Wheatstone bridge is constructed in a Ā¼bridge configuration. A series of weights are suspended again in a sequential test after which thebridge output voltage is measured
- Conference Session
- Modern Software Measurement Techniques
- Collection
- 2007 Annual Conference & Exposition
- Authors
- Jonathan Hill, University of Hartford; Devdas Shetty, University of Hartford; Jun Kondo, University of Hartford
- Tagged Divisions
- Instrumentation
development times for the sensor prototypeare substantially reduced. Microcontrollers embedded in the sensor makes the sensor morecost effective, modular and easy to use in a wide variety. The paper also demonstrated how asensor instrumentation can be implemented using two different approaches (a) mechatronichardware-in-the lop (b) FPGA techniques. The test results show high level of agreement Page 12.1282.12Bibliography 1. Shetty, D. & Kolk, R. (1998), Mechatronics System Design, International Thompson 2. Bhatt, S. (2001), Design and Development of Smart Sensors, Master Thesis, University of Hartford 3. Bogli, C. (2000), Study of a New