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Design of an Automated Experimentation and Data Processing Software Suite for the ADiR Sensor. Ryan Hollister Rachelle Horwitz Mandela Kiran. Outline. Introduction Goals of the Project Equipment Pressure Experiment Vacuum Degradation Experiment Qualification Test
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Design of an Automated Experimentation and Data Processing Software Suite for the ADiR Sensor Ryan Hollister Rachelle Horwitz Mandela Kiran
Outline • Introduction • Goals of the Project • Equipment • Pressure Experiment • Vacuum Degradation Experiment • Qualification Test • Angular Response Experiment • Lens Focusing Experiment • Conclusions • Acknowledgements • Questions
Introduction • Currently in our final year of study at Worcester Polytechnic Institute in Worcester, Massachusetts • Majoring in Electrical and Computer Engineering with different concentrations • Completed our Major Qualifying Project (MQP) at ADI Limerick “Demonstrate application of the skills, methods, and knowledge of the discipline to the solution of a problem that would be representative of the type to be encountered in one's career” – WPI
Goals of the Project • Acquire an understanding of IR sensors, the equipment, and the testing procedures • Identify areas of the test where software could facilitate the process • Create automation software for four experiments • Determine the optimal way to display the collected data • Develop software to process the raw data into usable excel files and graphs
Ensure that the blackbody source and vacuum chamber are properly aligned Place the part into the vacuum chamber Manually set the pressure using the vacuum controller Pressure Experiment: Methodology Take the step response at different pressures Manually reduce or increase the pressure using the valve on the vacuum chamber Plot the sensor’s response against pressure
Pressure Experiment: Automation • Controlled the vacuum controller to set pressure using LabVIEW. • Used an automatic shutter to provide step input. • Reconfigured the PID controller parameters to obtain stability.
Pressure Experiment Results:3x3 vs. 11x11 Bolometers • Confirmed that the 3x3 bolometers respond better than the 11x11 bolometers
Pressure Experiment: Results for the 3x3 Bolometer Theoretical model Experimental results
Pressure Experiment: Results for the 11x11 Bolometer Theoretical model Experimental results
Vacuum Degradation Experiment: Methodology • Measured the effect of storage conditions on the parts’ offsets and sensitivities over time • Stored the sensors at room temperature, 0-4oC, and 150oC over a period of 8 days • Conducted two sub-tests every 2-3 days • Temperature cycling • Step response
Vacuum Degradation Experiment: Results • The offsets of the bolometers were more sensitive to changes in vacuum than the offsets of the thermopiles were
Angular Response Methodology Rotates the part 180o in front of the black body source Collects readings from all pixels at each degree interval Output the raw data Import the data into Excel and produces graphs
Angular Response: Lens Polishing Unpolished Polished
Angular Response Automation Capabilities: Positioning the sensor prior to testing Testing of 3x3 or 11x11 arrays Testing of bolometers and thermopiles Adjustment to the amount of rotation Saving collected data to a file
Angular Response Results Angular Response can be measured with 1o accuracy Results in ~5 minutes Polishing the lens removed the sensor’s angular response
Lens Focusing Experiment: Methodology y z x Scanning box
Lens Focusing Automation Blackbody Source IR Sensor Focusing Lens
Lens Focusing Experiment Results Since the data is 3D, it is easiest to display it in 2D slices y axis z axis x axis
Conclusions • We successfully automated several experiments • Pressure experiment: reduced test time per part from 60 minutes of continuous monitoring to 10 minutes of setup • Qualification test: reduced the amount of time to create the seven graphs for each part from several minutes to a few seconds • Angular response: provided angular response with a high level of accuracy • Lens Focusing experiment: successfully obtained the position of the focal point for highest response.
Acknowledgements We would like to thank Analog Devices, Inc. for providing us with a unique opportunity to work with an emerging technology. We would also like to thank the following people for their continuous encouragement and support: Prof. Rick Vaz, Prof. Rick Brown, John Reidy, Luke Pillans, Brendan Cawley, Eamon Culhane, Claire Leahy, and Bill Lane.
Questions • Thank you for your attention.
