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Material for a pressure vessel Short term thermal insulation - - PowerPoint PPT Presentation

More Case Studies in Materials Selection Material for a pressure vessel Short term thermal insulation Energy efficient kilns More info: Materials Selection in Mechanical Design , Chapters 5 and 6 ME 474-674 Winter 2008 Slides 6


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SLIDE 1

ME 474-674 Winter 2008 Slides 6 -1

More info: “Materials Selection in Mechanical Design”, Chapters 5 and 6

More Case Studies in Materials Selection

Material for a pressure vessel Short term thermal insulation Energy efficient kilns

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SLIDE 2

ME 474-674 Winter 2008 Slides 6 -2

Safe pressure vessels

Cylindrical pressure vessels are containers for a fluid under pressure A safe design will be based on one of two factors

  • Detectable plastic deformation (small pressure vessels)
  • “Leak before break” (larger pressure vessels)

The maximum principal stress is the hoop stress

p R t t pR = σ

2a

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SLIDE 3

ME 474-674 Winter 2008 Slides 6 -3

Safe pressure vessels

Material Free variables:

  • Radius R is specified

Constraints Maximize safety

  • Yield before break or
  • Leak before break

Objective Pressure vessel – contain pressure p safely Function

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SLIDE 4

ME 474-674 Winter 2008 Slides 6 -4

Safe pressure vessels

Pressure vessels are usually examined for any flaws that may be

present

Ultrasonic or X-ray techniques have a detection limit of “2a*

c”

There are no flaws larger than 2a*

c

Have to assume flaws up to size 2a*

c are present

The stress required to catastrophically propagate a crack in the

presence of a flaw of size 2a*

c is

where KiC is the fracture toughness of the material and C ( ≈ 1) is a constant that depends upon the shape and location of the crack

* 1 c C

a CK π σ =

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SLIDE 5

ME 474-674 Winter 2008 Slides 6 -5

Safe pressure vessels

Therefore, for safety The corresponding material index to be maximized is

* 1 c C

a K R t R t p π σ ≤ =

C

K M

1 1 =

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SLIDE 6

ME 474-674 Winter 2008 Slides 6 -6

Safe pressure vessels

However, if one wanted to ensure that the material yielded before

fracture, then it should be possible to reach the failure stress or yield stress even when the flaw size is greater than the detection limit of the NDE technique

In order to maximize the flaw size for with “yield before break” occurs,

the material index to be maximized is

2 1 2

⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎣ ⎡ ≤

f C c

K C a σ π

f C

K M σ

1 2 =

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SLIDE 7

ME 474-674 Winter 2008 Slides 6 -7

Safe pressure vessels

It may not be possible to subject a large pressure vessels to complete X-

ray or ultrasonic examination to locate pre-existing flaws

Therefore, if the vessel is designed such that critical flaw size (2ac) is at

least equal to the thickness of the wall the even when the stress reaches the yield stress, then the vessel will “leak before break”

Under this situation, the material index to be maximized is

f C f C

K C R p

  • r

t pR K C t σ π σ σ π

2 1 2 2 1 2

2 2 ⎟ ⎠ ⎞ ⎜ ⎝ ⎛ = = ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ ⎟ ⎠ ⎞ ⎜ ⎝ ⎛ =

f C

K M σ

2 1 3 =

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SLIDE 8

ME 474-674 Winter 2008 Slides 6 -8

Safe pressure vessels

If one wanted to make a thin walled pressure vessel, the

thinnest wall is obtained by having a high value of the yield strength.

Therefore, there is a fourth index that needs to be

  • maximized. Namely

M4 = σf

The following slides show the successive application of

each of the indices to select a material

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SLIDE 9

ME 474-674 Winter 2008 Slides 6 -9

Safe pressure vessels

Summary of Material Performance parameters

Maximize σf M4 Maximize (minimize σf ?) M3 Maximize (minimize σf ?) M2 Maximize M1 Objective Equation Parameter

f C

K σ

2 1 f C

K σ

1

C

K1

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SLIDE 10

ME 474-674 Winter 2008 Slides 6 -10

Safe pressure vessels

M1 K1C > 10 MPa.m0.5 30 of 95 Materials All metals Ferrous and non- Ferrous

Yield strength (elastic limit) (MPa)

0.01 0.1 1 10 100 1000

Fracture toughness (MPa.m^ 1/2)

0.01 0.1 1 10 100

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SLIDE 11

ME 474-674 Winter 2008 Slides 6 -11

Safe pressure vessels

M2 = 0.4m0.5 15 of 95 Materials Including

Lead Polymer Foam Metal Foam Leather

Yield strength (elastic limit) (MPa)

0.01 0.1 1 10 100 1000

Fracture toughness (MPa.m^ 1/2)

0.01 0.1 1 10 100

Metal foam Flexible Polymer Foam (MD) Commercially pure lead Leather Copper Stainless steel Non age-hardening wrought Al-alloys Nickel

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SLIDE 12

ME 474-674 Winter 2008 Slides 6 -12

Safe pressure vessels

M3 = 4 MPa.m 22 of 95 Materials Lead is still an

  • ption

Yield strength (elastic limit) (MPa)

0.01 0.1 1 10 100 1000

Fracture toughness (MPa.m^ 1/2)

0.01 0.1 1 10 100

Metal foam Commercially pure lead Lead alloys Copper Nickel Leather Flexible Polymer Foam (MD)

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SLIDE 13

ME 474-674 Winter 2008 Slides 6 -13

Safe pressure vessels

M4 = 100 MPa 36 of 95 Materials Lead and foams are gone but we have picked up a bunch of ceramic materials

Yield strength (elastic limit) (MPa)

0.01 0.1 1 10 100 1000

Fracture toughness (MPa.m^ 1/2)

0.01 0.1 1 10 100

Copper Nickel Tungsten carbides Silicon Silicon nitride Aluminum nitride Low alloy steel Medium carbon steel CFRP, epoxy matrix (isotropic)

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SLIDE 14

ME 474-674 Winter 2008 Slides 6 -14

Safe pressure vessels

All stages 8 materials

Yield strength (elastic limit) (MPa)

0.01 0.1 1 10 100 1000

Fracture toughness (MPa.m^ 1/2)

0.01 0.1 1 10 100

Copper Non age-hardening wrought Al-alloys Zinc die-casting alloys Nickel Stainless steel Zinc die-casting alloys Cast Al-alloys Bronze

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SLIDE 15

ME 474-674 Winter 2008 Slides 6 -15

Safe pressure vessels

Select Materials - All Stages

  • Brass
  • Cast Al-alloys
  • Commercially pure zinc
  • Copper
  • Nickel
  • Non age-hardening wrought Al-alloys
  • Stainless steel
  • Zinc die-casting alloys
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SLIDE 16

ME 474-674 Winter 2008 Slides 6 -16

Short term thermal insulation

An application for short term thermal insulation is the rescue beacons for

military aircraft pilots

These electronic devices do not function if the temperature drops below a

critical value

Therefore, to give the rescue operation the greatest chance of being effective,

the temperature of the electronics in the radio beacon must not fall below a critical value for the longest period of time even when exposed to cold temperatures

  • The temperature of most of the earth’s oceans is around 4ºC

The electronics have to be wrapped in an insulating blanket

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SLIDE 17

ME 474-674 Winter 2008 Slides 6 -17

Short term thermal insulation

Material Free variables: Wall thickness must not exceed w Constraints Maximize time before which internal temperature drops below critical value Objective Short term thermal insulation Function

Insulating material

  • f wall thickness w

Electronic circuits packaged in this space

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SLIDE 18

ME 474-674 Winter 2008 Slides 6 -18

Short term thermal insulation

Model 1 Minimize heat flux out of the containment area First law of heat conduction Where q is heat flux, λ is thermal conductivity Therefore, minimize λ to minimize heat flow Best materials are polymer foams

( )

w T T dx dT q

  • i −

≈ − = λ λ

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SLIDE 19

ME 474-674 Winter 2008 Slides 6 -19

Short term thermal insulation

Thermal conductivity (W/m.K) 0.1 1 10 100

Rigid Polymer Foam (LD) Rigid Polymer Foam (MD) Flexible Polymer Foam (MD) Rigid Polymer Foam (HD)

Ceramics Polymers Foams and Hybrids Metals

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SLIDE 20

ME 474-674 Winter 2008 Slides 6 -20

Short term thermal insulation

But is this the answer we are looking for? The answer is no! The problem requires that the time that it takes for the electronic package to cool

down be maximized.

This is not a steady state problem. Therefore use 2nd law of heat conduction If the temperature at the surface is decreased suddenly, as in dropping the pilot

and his radio beacon into a cold ocean, the distance x from the surface at which a certain temperature is reached changes with time t as

Where a is the thermal diffusivity

at x 2 ∝

p

C a ρ λ =

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SLIDE 21

ME 474-674 Winter 2008 Slides 6 -21

Short term thermal insulation

ρ is the density and Cp is the specific heat of the material. We can replace x in the above equation by the wall thickness to get Therefore, we seek the material with the smallest a to maximize the

time t, if the thickness of the insulation w is fixed

The best materials are therefore elastomers

a w t 2

2

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SLIDE 22

ME 474-674 Winter 2008 Slides 6 -22

Short term thermal insulation

Thermal Diffusivity 1e-7 1e-6 1e-5 1e-4 Thermal conductivity (W/m.K) 0.1 1 10 100

Butyl Rubber Isoprene (IR) Isoprene (IR) Polychloroprene (Neoprene, CR)

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SLIDE 23

ME 474-674 Winter 2008 Slides 6 -23

Energy efficient kiln

Kilns used for firing pottery are heated up from room temperature to the firing

temperature during each cycle

  • Unbaked pottery is placed in the furnace
  • The heating mechanism, electric or gas, is turned on and the kiln is

heated up to the firing temperature

  • After the requisite time at temperature, the kiln is allowed to cool down
  • Once cooled, the pottery is removed and the cycle is repeated

There are two major factors that consume energy

  • The energy to heat up the kiln
  • The energy lost through conduction through the walls

The first can be minimized by reducing the thermal mass of the system, i.e.

minimize the wall thickness

The second can be minimized by reducing the heat loss through the wall by

increasing its thickness

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SLIDE 24

ME 474-674 Winter 2008 Slides 6 -24

Energy efficient kiln

How can these apparently contradictory requirements be reconciled? Is there a material index that can capture both requirements?

Wall thickness w Insulation T-con λ Density ρ Sp-heat Cp Ti To

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SLIDE 25

ME 474-674 Winter 2008 Slides 6 -25

Energy efficient kiln

Material Wall thickness Free variables: Hard: Max operating temp = 1000°C Soft: Wall thickness due to space limitation Constraints Minimize energy consumed in each cycle Objective Thermal insulation for kiln (cyclic heating and cooling) Function

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SLIDE 26

ME 474-674 Winter 2008 Slides 6 -26

Energy efficient kiln

Analysis

There are two sources of heat loss

  • Heat lost by conduction through walls
  • Heat required to increase temperature of insulating material
  • Total heat loss is

t w T T t dx dT Q

  • i −

= − = λ λ

1

( )

2

2

  • i

p

T T w C Q − = ρ

( )

2

2 1

  • i

p

  • i

T T w C t w T T Q Q Q − + − = + = ρ λ

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SLIDE 27

ME 474-674 Winter 2008 Slides 6 -27

Energy efficient kiln

To minimize total heat loss, differentiate the above equation and set equal to zero

and find w

Substituting back into the equation for Q gives The material index to be maximized is

( )

2 / 1 2 / 1

2 2 at C t w

p

= ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ = ρ λ

( )( ) (

)

2 / 1 2 / 1

2 ρ λ

p

  • i

C t T T Q − =

( )

λ ρ λ

2 / 1 ) 2 / 1 (

a C M

p

= =

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SLIDE 28

ME 474-674 Winter 2008 Slides 6 -28

Energy efficient kiln

Select Materials - Stage 1 – limit stage

  • Min operating temperature - 1000°C
  • 14 materials

Alumina Aluminum nitride Boron carbide Brick Ceramic foam Glass ceramic Nickel-based superalloys Nickel-chromium alloys Silica glass Silicon carbide Silicon nitride Tungsten alloys Tungsten carbides Zirconia

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SLIDE 29

ME 474-674 Winter 2008 Slides 6 -29

Energy efficient kiln

Thermal diffusivity

1e-7 1e-6 1e-5 1e-4

Thermal conductivity (W/m.K)

0.1 1 10 100

Stage 2 High values of

λ

2 / 1

a M =

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SLIDE 30

ME 474-674 Winter 2008 Slides 6 -30

Energy efficient kiln

Thermal diffusivity

1e-7 1e-6 1e-5 1e-4

Thermal conductivity (W/m.K)

0.1 1 10 100

Both Stages

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SLIDE 31

ME 474-674 Winter 2008 Slides 6 -31

Energy efficient kiln

Select Materials - All Stages 5 materials

  • Brick
  • Ceramic foam
  • Glass ceramic
  • Silica glass
  • Zirconia

Switching to the larger database gives over 60 materials.

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SLIDE 32

ME 474-674 Winter 2008 Slides 6 -32

Energy efficient kiln

Thermal Diffusivity = Thermal conductivity / Specific heat / Density 1e-7 1e-6 1e-5 1e-4 Thermal conductivity (W/m.K) 0.1 1 10 100

Graphite (perpendicular to plane) Mullite (Al2O3-SiO2 alloys) Carbon (Vitreous) Graphite Foam (0.12) Alumina Foam (99.8% )(0.4) Carbon Foam (Reticulated, Vitreous)(0.05) Glass Ceramic (N11) Glass Ceramic - Slipcast Plaster of Paris Carbon Fiber Reinforced Carbon Matrix Composite (Vf:50% )

Additional criteria can be imposed

such as cost, oxidation resistance, flammability, etc. to screen out certain materials like carbon