1. P09451 System Level Review Bryan McCormick (ME) Project Manager Andy Freedman (ME) Heat Transfer/Fluids Analysis & Design John Kreuder (ME) Thermal Modeler Ken McLoud (ME) Structural Designer Jon Holdsworth (EE) Electrical System Designer Gabriela Santa Cruz (IE) Engineering Economics

2. Current System

4. System Diagram

11. Electrical Schematic of Current Test Platform Electrical Schematic with Shunt Resistor R3

12. Feasibility Study Technology and System Feasibility –Difficulties of implementation in a large scale system. –Outline design of system from input requirements and processes to outputs and fields of application. –Analysis of Technology/Procedures/Other improvements that would further increase benefits. Economic Feasibility –Cost/Benefit analysis for a module’s lifecycle. –Benchmarking alternative technologies.

13. Assessing the Reliability of Data Accurate - Free from material error Consistent - Yields same results repeatedly Complete - Includes all elements Valid – Does the data actually represent what is believed to be measured? Are the associated risks and errors significant to cause a reasonable person to doubt a finding, conclusion or recommendation?

14. GAGAS (Generally Accepted Government Auditing Standards) Review information about the system Significance of data to objectives Initial Testing Level of Risk Corroborating evidence Reliabl e data or not? Previous Senior Design studies, reports that contain information about the system and its data. Will data be the only evidence supporting a finding? Will data be used only for information? Will magnitude of errors in data be an issue? Will data be the only evidence supporting a finding? Will data be used only for information? Will magnitude of errors in data be an issue? Uncertainty Studies, Gage R&R Search for missing data Anomalies in data – outside of range Uncertainty Studies, Gage R&R Search for missing data Anomalies in data – outside of range Likelihood that using data of questionable reliability will have significant negative consequences to the customers. Strength of other types of evidence – documentary, physical, testimonial. Data are sufficiently reliable – significant errors or incompleteness is minimal Data are not sufficiently reliable – could lead to incorrect messages Data have undetermined reliability – further testing Data are sufficiently reliable – significant errors or incompleteness is minimal Data are not sufficiently reliable – could lead to incorrect messages Data have undetermined reliability – further testing

15. T=440 T=420T=417 T=414 T=364