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Heat Exchanger Design Optimization

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DOE's. Tube OD. Shell ID. Tube Length. Optimization. Starting Point for Optimization Process ... Matlab DOE & Minitab DOE Main Effects Plots. 7 Variables ... – PowerPoint PPT presentation

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Title: Heat Exchanger Design Optimization


1
Heat Exchanger Design Optimization
ME 414 Thermal / Fluid System Design
Final Project Department of Mechanical
Engineering
Fall 2005
December 13, 2005
Team Members Kris Miller
Matt Obras Andrew Wall Ben
Warner
Professor John Toksoy
2
Problem Statement
  • Design a heat exchanger to reduce the temperature
    of a chemical by 10º Celsius with the following
    parameters
  • Mass flow rate is 80,000 kg/hr.
  • Fluid enters the heat exchanger at 35º C and
    should leave at 25º C.
  • Material properties are approximated as water.
  • Cooling of the chemical will be achieved by using
    treated water.
  • City water is available at 20º C.
  • Mass flow rate is adjustable.

3
Goals
  • Cool hot fluid by 10º Celsius
  • Minimize costs by
  • Minimizing weight
  • Minimizing pressure drops
  • Optimizing tube material

4
Funnel Effect
7 Effecting Variables
3 Critical Variables
  • Tube Outer Diameter
  • Tube Thickness
  • Shell Inner Diameter
  • Shell Thickness
  • Tube Length
  • Tube Pitch
  • Number of Tubes
  • Number of Tube Passes
  • Shell and Tube Material
  • Use of Baffles
  • Baffle Spacing
  • Baffle Cut
  • Shell Flow Rate
  • Fluid Allocation
  • Type of Flow
  • Number of Passes
  • Tube OD
  • Shell ID
  • Tube Length
  • Number Passes
  • Shell Mass Flow
  • Rate
  • Use of Baffles
  • Baffle Space
  • Tube OD
  • Shell ID
  • Tube Length

1 Factor Runs Engineering Judgment
2 Factor DOEs
Optimization
5
Starting Point for Optimization Process
6
Matlab DOE Minitab DOE Main Effects Plots7
Variables
7
Matlab DOE Minitab DOE Main Effects Plots3
Variables
8
Pareto Charts
9
Minitab Design Optimization
  • Key Parameter Changes
  • Pressure Drop (Shell and Tube)
  • Number of Tubes
  • Weight

10
Final Heat Exchanger Parameters
Results using nominal values based on Minitab
Optimization Fouling was taken into
consideration
11
Conclusion
  • Chemical was successfully cooled 10 C and met
    all specifications
  • Cost minimized
  • Low weight low material cost
  • Low pressure drop lower operational cost

12
Questions
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