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Thermal System

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    ME 414 Thermal-Fluid Systems Design

    Project 2: Heat Exchanger Optimization

    Instructor: John Toksoy

    May 6, 2005

    Group Members:

    Luke Jones

    Justin Gast

    Mike Hughett

    Department of Mechanical Engineering, IUPUI

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    Problem Statement Design a heat exchanger given 80,000kg/hr of distilled water will

    enter at 35C and leave at 25C and transfer heat to

    140,000kg/hr raw water entering from a 20C supply. Desired heat transfer rate = = 928.5 kW

    No baffles, neglect fouling, single pass.

    Optimize the weight, shell and tube pressure drops, and heat

    transfer of the design using the DOE capabilities of both Matlab

    and Minitab software.

    TCm p&

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    Tools Utilized Matlab

    Utilized the provided Matlab code to perform the heat exchanger

    analysis Minitab

    Used in the selection of critical design parameters

    Provided tools needed to optimize Matlab heat exchanger design

    calculations

    Aided in optimization

    Iterative optimization process

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    Where to Start? Input given values from problem definition

    Obtained desired to calculated heat transfer ratio of 1 by trial and

    error Ran DOE study using Minitab to find the main effects of the

    variables and their interactions

    Eliminated insignificant variables

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    Funnel EffectShell ID, Tube OD, Length, Tube Material, Shell

    Thickness, Fluid Allocation, Layout Angle,Shell Thickness

    2-3 Critical

    Variables

    Minitab

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    Main Effects Plots

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    Design Decisions

    Counter Flow

    Parallel Flow Not an Option

    1.25 Pitch Ratio (rule of thumb)

    Square Pitch

    Clean surfaces 90 degree layout angle

    Tube Material

    Aluminum: Heat Transfer Low Weight

    Shell Thickness set to 1 mm (determined from

    hoop stress analysis)

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    Elimination from Evaluation

    After more Main effects plots were run, the 3 key variables

    discovered were: length, tube OD, and shell ID

    Next, a multi-level DOE was run in Matlab to determine good

    starting points for design optimization

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    Main Effects of 3 Critical Parameters

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    Heat Exchanger Optimization

    Analyzed Factorial Design to create Pareto charts of design parameters.

    This shows the weight each variable has on the design specification

    Verified that the statistical p-values were below 0.1

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    Iterative Optimization

    DOE 1 DOE 2 DOE 3

    DOE 4 DOE 5

    +/- 20% +/- 15%

    +/- 5%

    +/- 10%

    (Matlab

    Check)

    (Matlab

    Check)

    (Matlab

    Check)

    (Matlab

    Check)

    Matlab Results:

    Weight = 1051 kg

    P Tube = 978 Pa

    P Shell = 914 Pa

    Q = 928.6 kW

    (Matlab

    Check)

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    Cost Consideration

    While custom parts provide the most efficient heat exchanger design,

    manufacturing costs must be considered in the Total Cost of Ownership

    Using standard tube sizes greatly reduces initial costs, thereby reducing the TCO

    TCO = Initial Costs + Maintenance + Repairs

    Standard Tube and Shell Size Optimization:

    Weight = 1005 kg

    Heat transfer rate = 928.3 kW

    Desired-to-calculated ratio of 1.00

    Shell side pressure drop = 788 Pa

    Tube side pressure drop = 687 Pa

    Even Better than the Minitab Optimization!!

    Selected Material Sizes:

    Shell Diameter: 21.25 inches

    Tube Diameter: 20BWG inch

    Tube Length: 3.477 meters*

    * There is no defined standard length

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    Conclusions

    Heat Exchanger optimization was a success

    The standard tube and shell diameters provides the optimal weight,

    tube and shell pressure drops, and desired heat transfer One concern: the average tube velocity is 0.28 m/s for our optimal

    design, which is lower than the recommended velocity to prevent

    settling

    Because distilled water is being used in the tubes, settling is

    unlikely

    TCO of our design is minimized:

    Low material weight

    initial costs minimized

    Low pressure drops initial costs and operational costs

    minimized

    Square pitch maintenance costs minimized (time=money!!)

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    Questions?


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