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Casting Analysis - 1

Melting and Pouring

               ver. 1




  ME 6222: Manufacturing Processes and Systems   1
           Prof. J.S. Colton © GIT 2011
Overview
• Processes
• Analysis
  –   Melting
  –   Pouring
  –   Solidification and cooling
  –   Surface tension
  –   Gas solubility and porosity
• Defects
• Design rules
• Economics

                ME 6222: Manufacturing Processes and Systems   2
                         Prof. J.S. Colton © GIT 2011
Casting Steps
   quick route from raw material to finished
                   product
• Melt metals
• Pour / force liquid into hollow cavity
  (mold)
• Cool / Solidify
• Remove
• Finish

            ME 6222: Manufacturing Processes and Systems   3
                     Prof. J.S. Colton © GIT 2011
Temperature vs. Time

Temperature
                    pouring

          melting                 solidification



                                              removal
initial
                                                     time



          ME 6222: Manufacturing Processes and Systems      4
                   Prof. J.S. Colton © GIT 2011
Melting
                                                               Furnace
                                             Heat        Atmosphere
• Raw material (charge)
  – scrap, alloying materials
• Atmosphere                                              Raw materials

  – Air (oxygen), vacuum, inert gas (argon)
• Heating
  – External - electric, gas, oil
  – Internal - induction, mix fuel with charge
     • steel making in blast furnace -mix coke with steel
• Furnace material - refractory
  – high melting point metals, ceramics
                ME 6222: Manufacturing Processes and Systems              5
                         Prof. J.S. Colton © GIT 2011
Heat to melt

                                                    
H  rV cs Tmelt  Tinitial   H f  cl Tpour  Tmelt        
•   H = heat [J]
•    r = density
•   V = volume
•   c = specific heat (s = solid, l = liquid)
•   Hf = heat of fusion

               ME 6222: Manufacturing Processes and Systems   6
                        Prof. J.S. Colton © GIT 2011
Melting Time

• Estimate by

                Energy
         time 
                Power

• Take into account oven efficiency

           ME 6222: Manufacturing Processes and Systems   7
                    Prof. J.S. Colton © GIT 2011
Melting – Ex. 1-1

Calculate the time required to raise the
 temperature of a 120 kg aluminum billet
 from 20oC to 50oC above its melting
 point using a 20 kW furnace that is 75%
 efficient.




           ME 6222: Manufacturing Processes and Systems   8
                    Prof. J.S. Colton © GIT 2011
Melting – Ex. 1-2
H = 120 * [0.9 * (660-20)
          + 396 + 1.05 * (710 – 660)]
 = 123 MJ = 1.17 x 105 BTU
•   density = 2700 kg/m3
•   melting point = 660oC
•   heat of fusion = 396 kJ/kg
•   specific heat of liquid = 1.05 kJ/kg-K
•   specific heat of solid = 0.9 kJ/kg-K

               ME 6222: Manufacturing Processes and Systems   9
                        Prof. J.S. Colton © GIT 2011
Melting – Ex. 1-3

• time = 123 MJ / (20 kW * 75%)
• time = 2.3 hours

• Should probably buy a bigger furnace




           ME 6222: Manufacturing Processes and Systems   10
                    Prof. J.S. Colton © GIT 2011
Pouring - Fluid Flow

• Reynold’s number
• Bernoulli’s equation
• Continuity




           ME 6222: Manufacturing Processes and Systems   11
                    Prof. J.S. Colton © GIT 2011
Reynold’s number (Re)
ratio of momentum (inertia) to viscosity

      rVd
 Re 
       
 
   density  velocity  diameter
               viscosity


             ME 6222: Manufacturing Processes and Systems   12
                      Prof. J.S. Colton © GIT 2011
Critical Reynold’s number

• Re < 2,000
  – viscosity dominated, laminar flow
• Re > 20,000
  – inertia dominated, turbulent flow
• Controlled through gate and runner
  design



            ME 6222: Manufacturing Processes and Systems   13
                     Prof. J.S. Colton © GIT 2011
Bernoulli’s Equation
• Used to calculate flow velocities
• Assumptions: steady state, incompressible, inviscid
  flow

        rv   2
                                             rv   2
 Po         o
                  rgho  P 
                           1
                                                  1
                                                        rgh1  f
         2                                      2

P = pressure                       g = gravity
r = density                        h = height
v = velocity                       f = losses due to friction


                  ME 6222: Manufacturing Processes and Systems      14
                           Prof. J.S. Colton © GIT 2011
Continuity

                     Q0 = Q1
                    A0v0 = A1v1

where:
• Q = volumetric flow rate
• A = area
• v = velocity

Assumption: incompressible flow
             ME 6222: Manufacturing Processes and Systems   15
                      Prof. J.S. Colton © GIT 2011
Pouring – Ex. 2-1
Determine the geometry of the sprue, so that
 there is no air aspiration (the pressure never
 is less than atmospheric).

                   1                  pouring basin
      hc                              sprue
              2
 ht


                                    1 = free surface of metal
                                    2 = spue top
                                    3 = sprue bottom
                       3

             ME 6222: Manufacturing Processes and Systems   16
                      Prof. J.S. Colton © GIT 2011
Casting – Ex. 2-2
          rv1
            2
                                          rv3
                                            2
     P
     1           rgh  P 
                     1   3                         rgh3
         2                                  2
• Assuming
  – entire mold is at atmospheric pressure (no
    point below atmospheric)
  – metal in the pouring basin is at zero
    velocity (reservoir assumption)

                  v3  2 ght
            ME 6222: Manufacturing Processes and Systems   17
                     Prof. J.S. Colton © GIT 2011
Casting – Ex. 2-3
• Similarly

         rv1
           2
                                          rv2
                                            2
    P
    1            rgh  P2 
                     1                              rgh2
          2                                 2

                 v2  2 ghc




              ME 6222: Manufacturing Processes and Systems   18
                       Prof. J.S. Colton © GIT 2011
Casting – Ex. 2-4

• By continuity

              A2v2 = A3v3
• Hence
                A3 v2                   hc
                     
                A2 v3                   ht

           ME 6222: Manufacturing Processes and Systems   19
                    Prof. J.S. Colton © GIT 2011
Mold Filling Time Estimate

• Using continuity
  – Q = Ag vg =A3 v3
• Assuming Ag = A3

          vgate  v3  2ght

• Hence    Mold filling time 
                               Volume of mold
                                 Agatevgate

            ME 6222: Manufacturing Processes and Systems   20
                     Prof. J.S. Colton © GIT 2011
Pouring – Ex. 3-1

• Given
  – height of sprue (ht) = 20 cm
  – area of sprue (A3) = 2.5 cm2
  – volume of mold cavity (V) = 1560 cm3
• Find
  – vsprue
  – Flow rate (Q)
  – Mold filling time

             ME 6222: Manufacturing Processes and Systems   21
                      Prof. J.S. Colton © GIT 2011
Pouring – Ex. 3-2

vbase of sprue  2 ght  2 * 981 * 20  198.1 cm/s


Q = vbase of sprue *A3
  = 198.1 * 2.5 = 495 cm3/s

Mold filling time = V/Q =1560 / 495 = 3.2 s


             ME 6222: Manufacturing Processes and Systems   22
                      Prof. J.S. Colton © GIT 2011
Bottom Gated Systems
• Air forced up and out of mold
• Reduced splashing and oxidation
• As metal is poured into the system,
  effective head is reduced.
       Ag = gate cross-sectional area
                       Am = mold cross-sectional area



  ht                                 h hm

            ME 6222: Manufacturing Processes and Systems   23
                     Prof. J.S. Colton © GIT 2011
Bottom Gated Systems

• In time dt,
  – height of metal in mold increases dh
  – flow rate in mold, Qm = Amdh/dt
  – flow rate of metal delivered by gate to mold,
      Qg = Agvg, where
                      vg  2 g ht  h


                ME 6222: Manufacturing Processes and Systems   24
                         Prof. J.S. Colton © GIT 2011
Bottom Gated Systems
• Equating Qm = Qg,
                  Amdh  Ag 2 g ht  hdt
• If tf = filling time,
            hm                                 tf
       1              dh     Ag
       2g    
             0
                           
                     ht  h Am 0 dt


    t f 
            2 Am
           Ag 2 g
                                     ht  ht  hm              
                 ME 6222: Manufacturing Processes and Systems       25
                          Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-1
• You are pouring liquid iron into a mold.
• The mold has a sprue height of 2 inches.
• The bottom of the sprue has a diameter
  of 0.2 in.
             Risers
                                                      Sprue

                                                      Gate
      Cope
                                                    Parting Line
      Drag
                                                        Casting


             ME 6222: Manufacturing Processes and Systems          26
                      Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-2
• You wish to pour the metal so that you do
  not entrain air.

• What should the diameter of the gate
  (dgate) be?




            ME 6222: Manufacturing Processes and Systems   27
                     Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-3

• Here we need to use:
  – Reynold’s number
    • Values below 20,000 are OK in casting
    • To prevent entrainment of air resulting from
      turbulence
  – Bernoulli’s equation
  – Continuity



            ME 6222: Manufacturing Processes and Systems   28
                     Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-4
• Iron data:
     – density (r = 7860 kg/m3
     – viscosity at pouring temp ( = 2.25 cp
       = 2.25 x 10-3 N*s/m2
•   h0 = 2 in. = 0.051 m
•   h1 = 0 m
•   g = 9.8 m/s2
•   A1 = pr2 = 3.14 * 0.002542 =
         2.03 x 10-5 m2

                ME 6222: Manufacturing Processes and Systems   29
                         Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-5

• Now we need to determine the
  velocity at the bottom of the sprue
  (v1) using Bernoulli’s equation.




           ME 6222: Manufacturing Processes and Systems   30
                    Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-6
• We can assume that the velocity
  at the top of the mold (vo) is zero,
  if there is a pouring basin, which is
  typical.




             ME 6222: Manufacturing Processes and Systems   31
                      Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-7

• Ignore friction effects (f=0).
• Assume the mold is open to
  atmospheric pressure
  (P0=P1=Patm).
• Ignore the effect of the height of
  the metal in the mold.



            ME 6222: Manufacturing Processes and Systems   32
                     Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-8
• Substituting into Bernoulli’s equation:

        rvo
          2
                                  rv12
 Po           rgho  P 
                        1                 rgh1  f
         2                          2

         7860  02
  Patm             7860  9.8  0.051 
            2
         7860  v1
                 2
  Patm             7860  9.8  0  0
            2


                ME 6222: Manufacturing Processes and Systems   33
                         Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-9
• And solving:

     v1 = 1 m/s

• Checking Reynolds number

  Re = 7860*1*0.00508/2.25x10-3
     =17,746 < 20,000


            ME 6222: Manufacturing Processes and Systems   34
                     Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-10
• Now using continuity:


A1v1 = Agatevgate =

2.03 x 10-5 * 1 = Agatevgate

and Agate = prgate2


            ME 6222: Manufacturing Processes and Systems   35
                     Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-11
• Now, Reynold’s number < 20,000


     rVd 7860  vgate  d gate
Re                            20,000
           2.25  10  -3


• Solving gives:
     vgate*dgate = 5.72 x 10-3 m2/s


              ME 6222: Manufacturing Processes and Systems   36
                       Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-12
• Combining the following equations:

• 2.03 x 10-5 * 1 = Agatevgate

• Agate = prgate2

• vgate*dgate = 5.72 x 10-3 m2/s


             ME 6222: Manufacturing Processes and Systems   37
                      Prof. J.S. Colton © GIT 2011
Pouring - Ex. 4-13

• And solving gives:

 dgate = 4.5 mm = 0.18 in.

 A not unreasonable answer, given
 the sprue is 5 mm in diameter.

          ME 6222: Manufacturing Processes and Systems   38
                   Prof. J.S. Colton © GIT 2011
Data for Solid Materials
             Room Temperature
Material     Specific heat Density                    Thermal
             (kJ/kg-oC)    (kg/m3)                    conductivity
                                                      (W/m-oC)
Sand               1.16                 1500               0.60
Aluminum           0.90                 2700               222
Nickel             0.44                 8910               92.1
Magnesium          1.03                 1740               154
Copper             0.38                 8960               394
Iron               0.46                 7860               75.4
Steel              0.434                7832                59


              ME 6222: Manufacturing Processes and Systems           39
                       Prof. J.S. Colton © GIT 2011
Data for Liquid Metals
Material    Melting Density Latent heat Thermal            Specific Viscosity
            point (oC) (kg/m3) of             conductivity heat       (mPa-s)
                               solidification (W/m-oC)     (kJ/kg-oC)
                               (fusion)
                               (kJ/kg)

Aluminum    660       2390      396            94            1.05   4.5

Nickel      1453      7900      297                          0.73   4.1

Magnesium   650       1585      384            139           1.38   1.24

Copper      1083      7960      220            49.4          0.52   3.36

Iron        1537      7150      211                          0.34   2.2



                     ME 6222: Manufacturing Processes and Systems          40
                              Prof. J.S. Colton © GIT 2011
Summary

• Analysis
  – Melting
  – Pouring
  – Solidification and cooling
  – Surface tension
  – Gas solubility and porosity



             ME 6222: Manufacturing Processes and Systems   41
                      Prof. J.S. Colton © GIT 2011
ME 6222: Manufacturing Processes and Systems   42
         Prof. J.S. Colton © GIT 2011

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Castanal1

  • 1. Casting Analysis - 1 Melting and Pouring ver. 1 ME 6222: Manufacturing Processes and Systems 1 Prof. J.S. Colton © GIT 2011
  • 2. Overview • Processes • Analysis – Melting – Pouring – Solidification and cooling – Surface tension – Gas solubility and porosity • Defects • Design rules • Economics ME 6222: Manufacturing Processes and Systems 2 Prof. J.S. Colton © GIT 2011
  • 3. Casting Steps quick route from raw material to finished product • Melt metals • Pour / force liquid into hollow cavity (mold) • Cool / Solidify • Remove • Finish ME 6222: Manufacturing Processes and Systems 3 Prof. J.S. Colton © GIT 2011
  • 4. Temperature vs. Time Temperature pouring melting solidification removal initial time ME 6222: Manufacturing Processes and Systems 4 Prof. J.S. Colton © GIT 2011
  • 5. Melting Furnace Heat Atmosphere • Raw material (charge) – scrap, alloying materials • Atmosphere Raw materials – Air (oxygen), vacuum, inert gas (argon) • Heating – External - electric, gas, oil – Internal - induction, mix fuel with charge • steel making in blast furnace -mix coke with steel • Furnace material - refractory – high melting point metals, ceramics ME 6222: Manufacturing Processes and Systems 5 Prof. J.S. Colton © GIT 2011
  • 6. Heat to melt   H  rV cs Tmelt  Tinitial   H f  cl Tpour  Tmelt  • H = heat [J] • r = density • V = volume • c = specific heat (s = solid, l = liquid) • Hf = heat of fusion ME 6222: Manufacturing Processes and Systems 6 Prof. J.S. Colton © GIT 2011
  • 7. Melting Time • Estimate by Energy time  Power • Take into account oven efficiency ME 6222: Manufacturing Processes and Systems 7 Prof. J.S. Colton © GIT 2011
  • 8. Melting – Ex. 1-1 Calculate the time required to raise the temperature of a 120 kg aluminum billet from 20oC to 50oC above its melting point using a 20 kW furnace that is 75% efficient. ME 6222: Manufacturing Processes and Systems 8 Prof. J.S. Colton © GIT 2011
  • 9. Melting – Ex. 1-2 H = 120 * [0.9 * (660-20) + 396 + 1.05 * (710 – 660)] = 123 MJ = 1.17 x 105 BTU • density = 2700 kg/m3 • melting point = 660oC • heat of fusion = 396 kJ/kg • specific heat of liquid = 1.05 kJ/kg-K • specific heat of solid = 0.9 kJ/kg-K ME 6222: Manufacturing Processes and Systems 9 Prof. J.S. Colton © GIT 2011
  • 10. Melting – Ex. 1-3 • time = 123 MJ / (20 kW * 75%) • time = 2.3 hours • Should probably buy a bigger furnace ME 6222: Manufacturing Processes and Systems 10 Prof. J.S. Colton © GIT 2011
  • 11. Pouring - Fluid Flow • Reynold’s number • Bernoulli’s equation • Continuity ME 6222: Manufacturing Processes and Systems 11 Prof. J.S. Colton © GIT 2011
  • 12. Reynold’s number (Re) ratio of momentum (inertia) to viscosity rVd Re    density  velocity  diameter viscosity ME 6222: Manufacturing Processes and Systems 12 Prof. J.S. Colton © GIT 2011
  • 13. Critical Reynold’s number • Re < 2,000 – viscosity dominated, laminar flow • Re > 20,000 – inertia dominated, turbulent flow • Controlled through gate and runner design ME 6222: Manufacturing Processes and Systems 13 Prof. J.S. Colton © GIT 2011
  • 14. Bernoulli’s Equation • Used to calculate flow velocities • Assumptions: steady state, incompressible, inviscid flow rv 2 rv 2 Po  o  rgho  P  1 1  rgh1  f 2 2 P = pressure g = gravity r = density h = height v = velocity f = losses due to friction ME 6222: Manufacturing Processes and Systems 14 Prof. J.S. Colton © GIT 2011
  • 15. Continuity Q0 = Q1 A0v0 = A1v1 where: • Q = volumetric flow rate • A = area • v = velocity Assumption: incompressible flow ME 6222: Manufacturing Processes and Systems 15 Prof. J.S. Colton © GIT 2011
  • 16. Pouring – Ex. 2-1 Determine the geometry of the sprue, so that there is no air aspiration (the pressure never is less than atmospheric). 1 pouring basin hc sprue 2 ht 1 = free surface of metal 2 = spue top 3 = sprue bottom 3 ME 6222: Manufacturing Processes and Systems 16 Prof. J.S. Colton © GIT 2011
  • 17. Casting – Ex. 2-2 rv1 2 rv3 2 P 1  rgh  P  1 3  rgh3 2 2 • Assuming – entire mold is at atmospheric pressure (no point below atmospheric) – metal in the pouring basin is at zero velocity (reservoir assumption) v3  2 ght ME 6222: Manufacturing Processes and Systems 17 Prof. J.S. Colton © GIT 2011
  • 18. Casting – Ex. 2-3 • Similarly rv1 2 rv2 2 P 1  rgh  P2  1  rgh2 2 2 v2  2 ghc ME 6222: Manufacturing Processes and Systems 18 Prof. J.S. Colton © GIT 2011
  • 19. Casting – Ex. 2-4 • By continuity A2v2 = A3v3 • Hence A3 v2 hc   A2 v3 ht ME 6222: Manufacturing Processes and Systems 19 Prof. J.S. Colton © GIT 2011
  • 20. Mold Filling Time Estimate • Using continuity – Q = Ag vg =A3 v3 • Assuming Ag = A3 vgate  v3  2ght • Hence Mold filling time  Volume of mold Agatevgate ME 6222: Manufacturing Processes and Systems 20 Prof. J.S. Colton © GIT 2011
  • 21. Pouring – Ex. 3-1 • Given – height of sprue (ht) = 20 cm – area of sprue (A3) = 2.5 cm2 – volume of mold cavity (V) = 1560 cm3 • Find – vsprue – Flow rate (Q) – Mold filling time ME 6222: Manufacturing Processes and Systems 21 Prof. J.S. Colton © GIT 2011
  • 22. Pouring – Ex. 3-2 vbase of sprue  2 ght  2 * 981 * 20  198.1 cm/s Q = vbase of sprue *A3 = 198.1 * 2.5 = 495 cm3/s Mold filling time = V/Q =1560 / 495 = 3.2 s ME 6222: Manufacturing Processes and Systems 22 Prof. J.S. Colton © GIT 2011
  • 23. Bottom Gated Systems • Air forced up and out of mold • Reduced splashing and oxidation • As metal is poured into the system, effective head is reduced. Ag = gate cross-sectional area Am = mold cross-sectional area ht h hm ME 6222: Manufacturing Processes and Systems 23 Prof. J.S. Colton © GIT 2011
  • 24. Bottom Gated Systems • In time dt, – height of metal in mold increases dh – flow rate in mold, Qm = Amdh/dt – flow rate of metal delivered by gate to mold, Qg = Agvg, where vg  2 g ht  h ME 6222: Manufacturing Processes and Systems 24 Prof. J.S. Colton © GIT 2011
  • 25. Bottom Gated Systems • Equating Qm = Qg, Amdh  Ag 2 g ht  hdt • If tf = filling time, hm tf 1 dh Ag 2g  0  ht  h Am 0 dt t f  2 Am Ag 2 g  ht  ht  hm  ME 6222: Manufacturing Processes and Systems 25 Prof. J.S. Colton © GIT 2011
  • 26. Pouring - Ex. 4-1 • You are pouring liquid iron into a mold. • The mold has a sprue height of 2 inches. • The bottom of the sprue has a diameter of 0.2 in. Risers Sprue Gate Cope Parting Line Drag Casting ME 6222: Manufacturing Processes and Systems 26 Prof. J.S. Colton © GIT 2011
  • 27. Pouring - Ex. 4-2 • You wish to pour the metal so that you do not entrain air. • What should the diameter of the gate (dgate) be? ME 6222: Manufacturing Processes and Systems 27 Prof. J.S. Colton © GIT 2011
  • 28. Pouring - Ex. 4-3 • Here we need to use: – Reynold’s number • Values below 20,000 are OK in casting • To prevent entrainment of air resulting from turbulence – Bernoulli’s equation – Continuity ME 6222: Manufacturing Processes and Systems 28 Prof. J.S. Colton © GIT 2011
  • 29. Pouring - Ex. 4-4 • Iron data: – density (r = 7860 kg/m3 – viscosity at pouring temp ( = 2.25 cp = 2.25 x 10-3 N*s/m2 • h0 = 2 in. = 0.051 m • h1 = 0 m • g = 9.8 m/s2 • A1 = pr2 = 3.14 * 0.002542 = 2.03 x 10-5 m2 ME 6222: Manufacturing Processes and Systems 29 Prof. J.S. Colton © GIT 2011
  • 30. Pouring - Ex. 4-5 • Now we need to determine the velocity at the bottom of the sprue (v1) using Bernoulli’s equation. ME 6222: Manufacturing Processes and Systems 30 Prof. J.S. Colton © GIT 2011
  • 31. Pouring - Ex. 4-6 • We can assume that the velocity at the top of the mold (vo) is zero, if there is a pouring basin, which is typical. ME 6222: Manufacturing Processes and Systems 31 Prof. J.S. Colton © GIT 2011
  • 32. Pouring - Ex. 4-7 • Ignore friction effects (f=0). • Assume the mold is open to atmospheric pressure (P0=P1=Patm). • Ignore the effect of the height of the metal in the mold. ME 6222: Manufacturing Processes and Systems 32 Prof. J.S. Colton © GIT 2011
  • 33. Pouring - Ex. 4-8 • Substituting into Bernoulli’s equation: rvo 2 rv12 Po   rgho  P  1  rgh1  f 2 2 7860  02 Patm   7860  9.8  0.051  2 7860  v1 2 Patm   7860  9.8  0  0 2 ME 6222: Manufacturing Processes and Systems 33 Prof. J.S. Colton © GIT 2011
  • 34. Pouring - Ex. 4-9 • And solving: v1 = 1 m/s • Checking Reynolds number Re = 7860*1*0.00508/2.25x10-3 =17,746 < 20,000 ME 6222: Manufacturing Processes and Systems 34 Prof. J.S. Colton © GIT 2011
  • 35. Pouring - Ex. 4-10 • Now using continuity: A1v1 = Agatevgate = 2.03 x 10-5 * 1 = Agatevgate and Agate = prgate2 ME 6222: Manufacturing Processes and Systems 35 Prof. J.S. Colton © GIT 2011
  • 36. Pouring - Ex. 4-11 • Now, Reynold’s number < 20,000 rVd 7860  vgate  d gate Re    20,000  2.25  10 -3 • Solving gives: vgate*dgate = 5.72 x 10-3 m2/s ME 6222: Manufacturing Processes and Systems 36 Prof. J.S. Colton © GIT 2011
  • 37. Pouring - Ex. 4-12 • Combining the following equations: • 2.03 x 10-5 * 1 = Agatevgate • Agate = prgate2 • vgate*dgate = 5.72 x 10-3 m2/s ME 6222: Manufacturing Processes and Systems 37 Prof. J.S. Colton © GIT 2011
  • 38. Pouring - Ex. 4-13 • And solving gives: dgate = 4.5 mm = 0.18 in. A not unreasonable answer, given the sprue is 5 mm in diameter. ME 6222: Manufacturing Processes and Systems 38 Prof. J.S. Colton © GIT 2011
  • 39. Data for Solid Materials Room Temperature Material Specific heat Density Thermal (kJ/kg-oC) (kg/m3) conductivity (W/m-oC) Sand 1.16 1500 0.60 Aluminum 0.90 2700 222 Nickel 0.44 8910 92.1 Magnesium 1.03 1740 154 Copper 0.38 8960 394 Iron 0.46 7860 75.4 Steel 0.434 7832 59 ME 6222: Manufacturing Processes and Systems 39 Prof. J.S. Colton © GIT 2011
  • 40. Data for Liquid Metals Material Melting Density Latent heat Thermal Specific Viscosity point (oC) (kg/m3) of conductivity heat (mPa-s) solidification (W/m-oC) (kJ/kg-oC) (fusion) (kJ/kg) Aluminum 660 2390 396 94 1.05 4.5 Nickel 1453 7900 297 0.73 4.1 Magnesium 650 1585 384 139 1.38 1.24 Copper 1083 7960 220 49.4 0.52 3.36 Iron 1537 7150 211 0.34 2.2 ME 6222: Manufacturing Processes and Systems 40 Prof. J.S. Colton © GIT 2011
  • 41. Summary • Analysis – Melting – Pouring – Solidification and cooling – Surface tension – Gas solubility and porosity ME 6222: Manufacturing Processes and Systems 41 Prof. J.S. Colton © GIT 2011
  • 42. ME 6222: Manufacturing Processes and Systems 42 Prof. J.S. Colton © GIT 2011