1 / 34

Rotorcraft Engine-Nacelle Cooling Model Calibration Project

College of Engineering and Natural Sciences. Rotorcraft Engine-Nacelle Cooling Model Calibration Project. Nacelle Cooling Solutions Senior Design Team Mechanical Engineering. Nacelle Cooling Solutions: The Team. Presentation Overview. Project Objectives Breakdown of tasks

cain-henry
Télécharger la présentation

Rotorcraft Engine-Nacelle Cooling Model Calibration Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. College of Engineering and Natural Sciences Rotorcraft Engine-Nacelle Cooling Model Calibration Project Nacelle Cooling Solutions Senior Design Team Mechanical Engineering

  2. Nacelle Cooling Solutions: The Team NCS

  3. Presentation Overview • Project Objectives • Breakdown of tasks • Discussion of Computational Model • Discussion of Experimental Model • Our Vision of the project’s future NCS

  4. Industry Standard Model • Methodology for engine cooling analysis is described in SAE, ARP-996A, “Cooling Data for Turbine Engines in Helicopters”. • Originally written in 1967, and last revised in 1986. NCS

  5. What is ARP-996A? • Describes a standard method of presenting needed data and calculating the required cooling air for a given engine-nacelle installation in rotorcraft. • “Purpose: Efficient design of a turbine engine installation requires … Cooling margins developed by these methods would be subject to full scale testing for verification.” NCS

  6. Project Statement • Our Objective: Determine a confidence interval to be associated with results obtained from the industry standard model. • Our study is based upon the AH-64 installation of the Apache Longbow helicopter. NCS

  7. AH-64 Data NCS

  8. Project Execution • Three Main Phases: • Computational Model Development • Experimental Development • Results and Recommendations. • Current Status: Completing Computational Stage and beginning Conceptual stage of the test model. NCS

  9. Computation: Phase I • Major Tasks • Understanding the underlying theory behind the model described by ARP-996A. • Develop a numerical algorithm for the model. • Implement a computer program to execute the algorithm. NCS

  10. Experimental: Phase II • Major Tasks • Develop an appropriately scaled model of the engine-nacelle installation. • Design and execute an appropriate experiment. • Analyze experimental data and determine a confidence interval. NCS

  11. Results: Phase III • Major Tasks • Based on results of data analysis, determine a recommendation for improvements, and/or advice on interpretation of results from ARP-996A methodology. • i.e. a fudge factor for the methods described in ARP-996A NCS

  12. Computational Model • Used to provide numbers for comparison with experiment • Based on the model described in SAE ARP-996A • Engine is broken lengthwise into several elements • Energy balance on each element NCS

  13. 1-D Model Schematic NCS

  14. Nodal Energy Balance Equations • Engine surface: • Nacelle: • Annulus flow: NCS

  15. Solving the Energy Balance for Each Element • Energy balance equations • Three equations • Non-Linear • Use Newton’s Method for Non-Linear Systems NCS

  16. Newton's Method for Nonlinear Systems • Given a vector of n functions, find simultaneous roots for all of them • The messy part: calculating the Jacobian matrix NCS

  17. Newton's Method for Nonlinear Systems • Solve linear system (J(x))y = F(x) • Gaussian elimination or Cramer's rule • ARP uses Cramer's rule • Easiest to just use \ operator in Matlab • set new x = x + y • repeat until y is close to zero NCS

  18. Find T1, or W? • ARP uses mass flow rate of the annulus as one of the variables in the node equations • Using the engine surface temperature instead has advantages • Mass flow rate must be the same for each node • Temperature can change • The math is simpler • Required mass flow rate can still be found NCS

  19. Finding the Required Mass Flow:The ARP Way • Calculate T2, Ta, W for first element • Calculate T2, Ta, W for next element • Take maximum W • Re-Calculate temperatures of previous elements • Repeat from 2. for each element • Re-calculate required flows from step 1. until converged NCS

  20. Finding the Required Mass Flow:The New Way • Make a guess for the required mass flow W • Calculate temperatures throughout engine • Are the temperatures all low enough? • if yes, then the flow rate is high enough • if no, then increase the flow rate and try again NCS

  21. Advantages of the New Way • Flow rate is automatically held constant over the entire engine • Easier to non-dimensionalize the node equations • Easier to calculate the Jacobian matrix • Don’t have to deal with changing h with W NCS

  22. Non-dimensional Nodal Energy Balance NCS

  23. Test Model Development • Based on data for the AH-64 installation, a simplified model can be described. • A series of cylinders, with nominal diameters given by scaled AH-64 data. NCS

  24. Our Physical Model Geometry NCS

  25. Physical Model Concepts • Scale 1:2, 6061 Aluminum to be used, or 15 gauge sheet metal • Nacelle circular cross-section to simplify airflow velocity profiles NCS

  26. Experimental Heat Source Concepts • Resistance wire and a current source. • Propane burners NCS

  27. Engine with Nacelle NCS

  28. The Next Steps to Our Goal • Material Selection • Heating Element Selection • Model Construction • Test Rig Design and Construction • Data Acquisition • Execution NCS

  29. Phase II: Schedule Phase II Experimental Development: Including Test model development Design of Experiment Procurement and Construction Experiment Execution: Including Data Analysis NCS

  30. Experimental Development • What are we trying to achieve? • What will the measurements be? • Engine Surface Temperature • Nacelle Surface Temperature • Cooling Air Temperature • How will we get the data from the experiment? • Appropriate Data Acquisition NCS

  31. Data Analysis • What do we do with the data when we’ve run the experiment? • Compare surface temperature profiles with those obtained from the computational model. • Based on this comparison, determine the confidence interval for the methods described in ARP-996A. NCS

  32. Results and Recommendations • Based upon the results from the data analysis, we can recommend one of two things: • A revision to ARP-996A, consisting of the addition of a warning section describing the accuracy of the methods described there in. • A complete revision of ARP-996A, including a new model describing new methods. NCS

  33. In Conclusion: • What are we trying to accomplish? • A measure of “goodness” for the 1-D model described in SAE, ARP-996A. • Provide data from an appropriate experimental test to back up our conclusions. NCS

  34. Any Questions? NCS

More Related