1 / 24

HE Design Optimization ME414 – Thermal Fluid System Design Professor John Toksoy Final Project

HE Design Optimization ME414 – Thermal Fluid System Design Professor John Toksoy Final Project. Team Members: Kaela Hlaulani Prince Bedell William Broaddus Derek Vleck Trever Zike Seth Simonson. Project Definition. Design heat exchanger to reduce fluid by 20 degrees Celsius.

moanna
Download Presentation

HE Design Optimization ME414 – Thermal Fluid System Design Professor John Toksoy Final 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. HE Design OptimizationME414 – Thermal Fluid System Design Professor John ToksoyFinal Project Team Members: Kaela Hlaulani Prince Bedell William Broaddus Derek Vleck Trever Zike Seth Simonson

  2. Project Definition • Design heat exchanger to reduce fluid by 20 degrees Celsius. • Mass flow rate at the inlet of tube side is fixed at 220,000 kg/hr. • Inlet flow rate of shell is a design parameter. • Inlet temperature of shell fluid is 20 degrees Celsius. • Both fluids are considered as water.

  3. Design Optimization Goals • System must cool fluid from 45 C to 25 C • Length of Heat Exchanger cannot exceed 7 m • Shell Diameter cannot exceed 2 m • Shell and Tube weight must be minimized • Pressure drop of Shell and Tube must also be minimized

  4. Introduction • MATLAB is used to perform DOE runs. • Minitab is used to evaluate the importance of the variables according to the DOE runs (Main Effect Plots). • Relatively unimportant variables are selected and eliminated (fixed). • Most important variables are optimized using Minitab.

  5. Design – Funneling Process Single Factor Runs: I_Counter Flow Mdot shell Tube Length Baffle Space Tube Thickness # Tube Passes Baffle Cut Shell ID Shell Thickness Shell Material Tube OD • 1st Step: Analyze all 11 variables • 2nd Step: Two Factor DOE’s • 3rd Step: Critical Variables Optimization 2 Factor DOE Runs: Tube Length Baffle Space # Tube Passes Shell ID Shell Material Tube OD 4 Critical Variables: Tube Length Baffle Space Shell ID Tube OD Optimization

  6. Variable Analysis • Each design variable is analyzed while everything else is kept constant

  7. 1st run Main Effect Plots (11 Variables) • Effect of each variable on q_calc

  8. 1st run Main Effect Plots (11 Variables) • Effect of each variable on DP_tube

  9. 1st run Main Effect Plots (11 Variables) • Effect of each variable on DP_shell

  10. 1st run Main Effect Plots (11 Variables) • Effect of each variable on weight_HE

  11. 1st run Main Effect Plots (11 Variables) • Following variables were eliminated as a result of 1st DOE • I counter flow (We chose counter flow to Increase LMTD correction factor and heat exchanger effectiveness) • Baffle cut (We chose 84.15 mm) • Shell thickness (Only affects the weight, so we chose a reasonably thin shell) • Tube thickness (We chose a thickness of 0.559 mm) • mdot _shell (We chose a value of 64 Kg/m3 to minimize Dp_Shell.)

  12. 2nd run Main Effect Plots (6 Variables) • Effect of each variable on q_calc

  13. 2nd run Main Effect Plots (6 Variables) • Effect of each variable on DP_tube

  14. 2nd run Main Effect Plots (6 Variables) • Effect of each variable on DP_shell

  15. 2nd run Main Effect Plots (6 Variables) • Effect of each variable on weight_HE

  16. 2nd run Main Effect Plots (6 Variables) • Variables Eliminated: • Number of tube passes • We sacrificed some amount of heat transfer, however, we minimized the pressure drop, which implies that we can use less powerful pump. • Shell material • We chose pure aluminum because: • It has a high thermal heat coefficient • low weight. • Fluid has same properties as water, therefore there is no corrosion hazard.

  17. 3rd run Main Effect Plots (4 Variables) • Effect of each variable on q_calc

  18. 3rd run Main Effect Plots (4 Variables) • Effect of each variable on DP_tube

  19. 3rd run Main Effect Plots (4 Variables) • Effect of each variable on DP_shell

  20. 3rd run Main Effect Plots (4 Variables) • Effect of each variable on weight_HE

  21. Minitab Optimization Critical Variables: • Tube Length • Baffle Space • Shell ID • Tube OD

  22. Final Design Specifications • Tube Length = 6.06 m • Baffle Space = 0.1616 m • Shell ID = 0.2693 m • Tube OD = 6.3 E-3 m • Weight = 547.9 kg • DP Shell = 238 MPa • DP Tube = 45.44 KPa • Q_Calc = 5,227 KW

  23. Conclusion • The Shell Pressure is high because we selected baffles • Baffles induce turbulence which increases heat loss. • We chose a low Fouling factor of 3E-5: • The chemical has water like properties which minimizes the likelihood of fouling. • We chose a 90° square pitch: • makes cleaning of the tubes easier

  24. Questions ?

More Related