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Engineering Experimentation

Engineering Experimentation. Functional Types of Experiments. Determining Material Properties. Viscosity Density Heat Capacity Strength Etc. Component Parameters and Performance Indices. Process Unit Components Sensors Controls Etc. System Parameters & Performance.

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Engineering Experimentation

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  1. Engineering Experimentation Functional Types of Experiments

  2. Determining Material Properties • Viscosity • Density • Heat Capacity • Strength • Etc.

  3. Component Parameters and Performance Indices • Process Unit Components • Sensors • Controls • Etc.

  4. System Parameters & Performance • Assemblies of Components • Unit Operations • Blocks of Unit Operations • Production Process

  5. Evaluate and Improve Theoretical Models • Always looking for better models • Process Simulation • Evaluating models to determine limits, risks in accepting data • Somewhat the class of experiments we often do in CHEN3820 and 4860 (Evaluate)

  6. Product and/or Process Improvement • Statistical designed experiments most appropriate (“DOE” or “DOX”) • Ongoing process/product monitoring through Statistical Process Control (SPC) techniques • These two work in tandem as technical part of modern management systems • Will be our focus from here out

  7. Exploratory Experimentation • “Basic Research” • Determine nature of newly discovered or previously unexplained physical phenomena • Creative Process; less focused than others

  8. Acceptance Testing • Used to verify that equipment or product meets criteria: • Performance standards • Health & Safety standards • If acceptable, complete purchase

  9. Physical Model Analogues • Computer Simulation becoming better but still place for model testing • Scale up: • bench scale • pilot scale • production scale • Flow testing in a wind tunnel for example: • Testing vs. model

  10. Accelerated Testing • Testing to replicate aging in reasonable amount of time • Automated repeated operation of components • Temperature swings, etc

  11. Educational • Teach and learn using experimental systems • Demonstrations • “Hands on” learning • False starts, delays, mistakes, misconceptions part of real processes and trouble shooting

  12. Educational Lab Projects • Define problem • Plan of attack • Design system • Build apparatus • Test apparatus • Debug apparatus • Iterate

  13. Most Important • Plan, plan, plan • Consider information you need and plan experiment that will get you that info. • Plan and practice technique to minimize systematic errors • Anticipate the unexpected • Know your equipment

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