Brewing Filter Coffee: Mathematical Model of Coffee Extraction - - PowerPoint PPT Presentation

brewing filter coffee mathematical model of coffee
SMART_READER_LITE
LIVE PREVIEW

Brewing Filter Coffee: Mathematical Model of Coffee Extraction - - PowerPoint PPT Presentation

Brewing Filter Coffee: Mathematical Model of Coffee Extraction Modelling Camp, ICMS March 24, 2016 Modelling Camp, 2016 The Problem Modelling Camp, 2016 Outline Examining the concentration of granules vs coffee in solution. Model the


slide-1
SLIDE 1

Brewing Filter Coffee: Mathematical Model of Coffee Extraction

Modelling Camp, ICMS March 24, 2016

slide-2
SLIDE 2

Modelling Camp, 2016

slide-3
SLIDE 3

The Problem

Modelling Camp, 2016

slide-4
SLIDE 4

Outline

◮ Examining the concentration of granules vs coffee in solution. ◮ Model the flow through the coffee-bed. ◮ Simplify model of extraction with advection in the filter. ◮ Exciting Results!

Modelling Camp, 2016

slide-5
SLIDE 5

Outline

◮ Examining the concentration of granules vs coffee in solution. ◮ Model the flow through the coffee-bed. ◮ Simplify model of extraction with advection in the filter. ◮ Exciting Results!

Modelling Camp, 2016

slide-6
SLIDE 6

Outline

◮ Examining the concentration of granules vs coffee in solution. ◮ Model the flow through the coffee-bed. ◮ Simplify model of extraction with advection in the filter. ◮ Exciting Results!

Modelling Camp, 2016

slide-7
SLIDE 7

Outline

◮ Examining the concentration of granules vs coffee in solution. ◮ Model the flow through the coffee-bed. ◮ Simplify model of extraction with advection in the filter. ◮ Exciting Results!

Modelling Camp, 2016

slide-8
SLIDE 8

Outline

◮ Examining the concentration of granules vs coffee in solution. ◮ Model the flow through the coffee-bed. ◮ Simplify model of extraction with advection in the filter. ◮ Exciting Results!

Modelling Camp, 2016

slide-9
SLIDE 9

Variables

Basic Variables: Cc := mc Vθ, Cg := mg V(1 − θ), where: Cc represents the concentration of the coffee in water Cg the concentration of the coffee granules θ is the porosity of the coffee

Modelling Camp, 2016

slide-10
SLIDE 10

Basic Equations

Equation of transport of coffee for constant density of water at a certain temperature: dCc dt = α(1 − θ)(Cg − Gλ)(S − Cc) − (vw · ∇Cc) Conservation of coffee granules d dt

  • θCc + (1 − θ)Cg
  • = 0

= ⇒ θCc + (1 − θ)Cg = (1 − θ)G G is the starting concentration of granules, and S is the maximum concentration of dissolved coffee, α is the extraction rate.

Modelling Camp, 2016

slide-11
SLIDE 11

Basic Equations

Equation of transport of coffee for constant density of water at a certain temperature: dCc dt = α(1 − θ)(Cg − Gλ)(S − Cc) − (vw · ∇Cc) Conservation of coffee granules d dt

  • θCc + (1 − θ)Cg
  • = 0

= ⇒ θCc + (1 − θ)Cg = (1 − θ)G G is the starting concentration of granules, and S is the maximum concentration of dissolved coffee, α is the extraction rate.

Modelling Camp, 2016

slide-12
SLIDE 12

Basic Equations

Equation describing the coffee concentration within the granules: dCg dt = −θα(Cg − Gλ)(S − Cc)

Modelling Camp, 2016

slide-13
SLIDE 13

Basic Equations

Equation describing the coffee concentration within the granules: dCg dt = −θα(Cg − Gλ)(S − Cc)

Modelling Camp, 2016

slide-14
SLIDE 14

Dimensionless System

Dimensionless system without advection: d Cc dt = B(1 − θ)G( Cg − λ)(1 − Cc) d Cg dt = −θ( Cg − λ)(1 − Cc), where Cc := Cc S , Cg := Cg G , t = t/T and B = G/S

Modelling Camp, 2016

slide-15
SLIDE 15

Dimensionless System

Dimensionless system without advection: d Cc dt = B(1 − θ)G( Cg − λ)(1 − Cc) d Cg dt = −θ( Cg − λ)(1 − Cc), where Cc := Cc S , Cg := Cg G , t = t/T and B = G/S

Modelling Camp, 2016

slide-16
SLIDE 16

Results for the concentrations

  • Cc = B(1 − θ)

θ (1 − Cg)

  • Cg = λθ + (1 − λ)(θ − B(1 − θ))e−j

t

θ + (1 − λ)(1 − θ)Be−j

t

, where j = θ − (1 − λ)B(1 − θ)

Modelling Camp, 2016

slide-17
SLIDE 17

Flow Through the Coffee-Bed

Darcy’s law describes the flow of water through the coffee (porous medium) q = −k µ∇P

Figure: x = Lu , y = h(u)v.

Modelling Camp, 2016

slide-18
SLIDE 18

Pressure-Velocity

Pressure: P = ρwgy H h(x) − 1

  • + P0

Velocity: vy = −κ θµ ρwg H h(x) − 1

  • Figure: Pressure Distribution.

Modelling Camp, 2016

slide-19
SLIDE 19

Rotating the Problem

Pressure: P = ρwgh−1y′ (H − x′ sin(φ) − h(x′) cos(φ))

Modelling Camp, 2016

slide-20
SLIDE 20

Rotating the Problem

Figure: Pressure distribution at inclination angle 45, 30, 60 respectively

Modelling Camp, 2016

slide-21
SLIDE 21

Mean-field Approximation

Average over coffee bed height:

  • Cc = 1

h h Cc dz

  • Cg = 1

h h Cg dz 1 h h (∇ · vwCc) dz = vw (Cc(h) − Cc(0)) = −vw Cc Mean-field approximation: 1 h h f(Cc, Cg) dz ≈ f( Cc, Cv)

Modelling Camp, 2016

slide-22
SLIDE 22

Average Cc and Cg

Average over volume using mean-field argument: h ∂Cc ∂t + ∇ · (Ccvw)

  • dz =

h α(1 − θ)(Cg − Gλ)(S − Cc)dz ∂ ˆ Cc ∂t − vw ˆ Cc = α(1 − θ)(ˆ Cg − Gλ)(S − ˆ Cc) h ∂Cg ∂t dz = h −αθ(Cg − Gλ)(S − Cc)dz ∂ ˆ Cg ∂t = −αθ(ˆ Cg − Gλ)(S − ˆ Cc)

Modelling Camp, 2016

slide-23
SLIDE 23

Illustration of the solution with advection

Cc-blue curve, Cg red curve

Modelling Camp, 2016

slide-24
SLIDE 24

Brewing Contral Chart Comparison

Modelling Camp, 2016

slide-25
SLIDE 25

Modelling Camp, 2016

slide-26
SLIDE 26

Conclusions and future research

◮ We developed a basic model, which for a given geometry of the coffee bed

predicts quality of the coffee

◮ More coffee is extracted at the top of the filter rather than at the bottom due to

the lower pressure and lower velocity

◮ An decrease in the angle of inclination of the filter leads to an increase in the

concentration of coffee in the solution

◮ Our model predicts the height of the coffee bed along the filter should be in

the range 0.8 < h < 1 cm

◮ Straightforward extensions: 3D axisymmetric model, variable h ◮ Further improvements: consider the process of a coffee bed deformation and

chemical impact

Modelling Camp, 2016

slide-27
SLIDE 27

Conclusions and future research

◮ We developed a basic model, which for a given geometry of the coffee bed

predicts quality of the coffee

◮ More coffee is extracted at the top of the filter rather than at the bottom due to

the lower pressure and lower velocity

◮ An decrease in the angle of inclination of the filter leads to an increase in the

concentration of coffee in the solution

◮ Our model predicts the height of the coffee bed along the filter should be in

the range 0.8 < h < 1 cm

◮ Straightforward extensions: 3D axisymmetric model, variable h ◮ Further improvements: consider the process of a coffee bed deformation and

chemical impact

Modelling Camp, 2016

slide-28
SLIDE 28

Conclusions and future research

◮ We developed a basic model, which for a given geometry of the coffee bed

predicts quality of the coffee

◮ More coffee is extracted at the top of the filter rather than at the bottom due to

the lower pressure and lower velocity

◮ An decrease in the angle of inclination of the filter leads to an increase in the

concentration of coffee in the solution

◮ Our model predicts the height of the coffee bed along the filter should be in

the range 0.8 < h < 1 cm

◮ Straightforward extensions: 3D axisymmetric model, variable h ◮ Further improvements: consider the process of a coffee bed deformation and

chemical impact

Modelling Camp, 2016

slide-29
SLIDE 29

Conclusions and future research

◮ We developed a basic model, which for a given geometry of the coffee bed

predicts quality of the coffee

◮ More coffee is extracted at the top of the filter rather than at the bottom due to

the lower pressure and lower velocity

◮ An decrease in the angle of inclination of the filter leads to an increase in the

concentration of coffee in the solution

◮ Our model predicts the height of the coffee bed along the filter should be in

the range 0.8 < h < 1 cm

◮ Straightforward extensions: 3D axisymmetric model, variable h ◮ Further improvements: consider the process of a coffee bed deformation and

chemical impact

Modelling Camp, 2016

slide-30
SLIDE 30

Conclusions and future research

◮ We developed a basic model, which for a given geometry of the coffee bed

predicts quality of the coffee

◮ More coffee is extracted at the top of the filter rather than at the bottom due to

the lower pressure and lower velocity

◮ An decrease in the angle of inclination of the filter leads to an increase in the

concentration of coffee in the solution

◮ Our model predicts the height of the coffee bed along the filter should be in

the range 0.8 < h < 1 cm

◮ Straightforward extensions: 3D axisymmetric model, variable h ◮ Further improvements: consider the process of a coffee bed deformation and

chemical impact

Modelling Camp, 2016

slide-31
SLIDE 31

Conclusions and future research

◮ We developed a basic model, which for a given geometry of the coffee bed

predicts quality of the coffee

◮ More coffee is extracted at the top of the filter rather than at the bottom due to

the lower pressure and lower velocity

◮ An decrease in the angle of inclination of the filter leads to an increase in the

concentration of coffee in the solution

◮ Our model predicts the height of the coffee bed along the filter should be in

the range 0.8 < h < 1 cm

◮ Straightforward extensions: 3D axisymmetric model, variable h ◮ Further improvements: consider the process of a coffee bed deformation and

chemical impact

Modelling Camp, 2016

slide-32
SLIDE 32

Conclusions and future research

◮ We developed a basic model, which for a given geometry of the coffee bed

predicts quality of the coffee

◮ More coffee is extracted at the top of the filter rather than at the bottom due to

the lower pressure and lower velocity

◮ An decrease in the angle of inclination of the filter leads to an increase in the

concentration of coffee in the solution

◮ Our model predicts the height of the coffee bed along the filter should be in

the range 0.8 < h < 1 cm

◮ Straightforward extensions: 3D axisymmetric model, variable h ◮ Further improvements: consider the process of a coffee bed deformation and

chemical impact

Modelling Camp, 2016