WINTER

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WINTER Templat e Group9 Group 9: HOU Xiangyu 2008010881 YU Guo 2008010884 TU Mengyuan 2008010844 TAO Jianping 2008010870 MENG Xiangnan 2007010832

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Group9. WINTER. Template. A Reserch of Factors. Affecting the Fermentation of Dough. Group 9: HOU Xiangyu 2008010881 YU Guo 2008010884 TU Mengyuan 2008010844 TAO Jianping 2008010870 MENG Xiangnan 2007010832. Outline. WINTER. Background. Template. - PowerPoint PPT Presentation

Transcript of WINTER

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WINTERTemplate

Group9

Group 9:HOU Xiangyu 2008010881

YU Guo 2008010884TU Mengyuan 2008010844TAO Jianping 2008010870

MENG Xiangnan 2007010832

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WINTERTemplate•Background

Outline

•Design & Implementation of Experiment

•Data Analysis•Conclusion

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1. Introduction Of Idea

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1.1 Flour and Cooked-wheaten-food

•made of common crude dough•cooked by boiling water

• made of leaven dough

• cooked by steaming

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1.2 Yeast versus Baking-soda

Pro:Pro:

Dough: whiter and softer Fermentation: faster Environment: casualCon:Con:

Destroy organic nutrition, Destroy Vitamin B

• Pro:Pro:

Protect organic nutrition Good taste

• Con:Con:

Dough: yellow Fermentation: slow Environment: strict

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1.3 Criteria of Fermentation

Well fermented: Larger dough size Fine and smooth inside Elastic, smooth and white surface

Over fermented: Small and flat dough size Large air hole inside Non-elastic, wrinkled surface Sour taste

Under fermented: Small dough size Coarse grains inside Non-elastic and dark surface

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1.4 Objectives

• Find factors affect fermentation of dough

• Analysis effect of each factor as well as the interaction of multiple factors

• Present relatively desirable & practical settings for fermentation

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1.5 Material & Apparatus

• Material– Flour

• whole-meal flour

– Yeast • brand: AnQi

– Water • pure water

– NaCl • pure

• Apparatus– Beaker

• 50mL, precision: 5ml

– Graduated cylinder• 10mL, precision: 0.5mL

– Thermometer• -10℃~100℃, precision 1℃

– Electronic balance• precision 0.01g

– Watch • precision: 1sec

– Ruler• precision: 1mm

– Chopsticks • for stirring

– Basin • for heating in water bath

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2. Design of Experiment

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2.1 Variable Definition

• Response Variable– Height Change

• Factors– Water Volume– Water Temperature– Amount of Inoculation– Sealing– Fermentation time– Salt

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2.1 Variable Definition (con’t)

• Constant Factor– Shape and size of containers– Lot of flour

• Noise Factor– Variation in the process of kneading

dough– Estimation in the measurement– Variation of temperature

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2.2 Design Of Experiment

• ¼ fractional factorial design

To reduce the cost of the experiments

• Factors and Level SettingsCod

eFactors Low

LevelHigh

LevelA Water volume 23ml 35mlB Water temperature 23°C 37°CC Amount of

inoculation2g 4g

D Sealing sealed Not sealed

E Fermentation time 1.5h 2.5hF Salt 0g 0.06g

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• Generator: E=ABC, F=BCD

• Aliases: A=BCE=DEF

AB=CEB=ACE=CDF

AC=BEC=ABE=BDF

AD=EFD=BCF=AEF

AE=BC=DFE=ABC=ADF

AF=DEF=BCD=ADE

BD=CFABD=CDE=ACF=BEF

BF=CDACD=BDE=ABF=CEF

2.2 Design Of Experiment (con’t)

262 IV

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标准序运行序中心点区组A 加水量 B水温

C 酵母用量 D 密封

E 发酵时间 F 盐

13 1 1 1 -1 -1 1 1 1 -115 2 1 1 -1 1 1 1 -1 1

2 3 1 1 1 -1 -1 -1 1 -114 4 1 1 1 -1 1 1 -1 -116 5 1 1 1 1 1 1 1 1

9 6 1 1 -1 -1 -1 1 -1 14 7 1 1 1 1 -1 -1 -1 16 8 1 1 1 -1 1 -1 -1 17 9 1 1 -1 1 1 -1 -1 -1

12 10 1 1 1 1 -1 1 -1 -110 11 1 1 1 -1 -1 1 1 111 12 1 1 -1 1 -1 1 1 -1

8 13 1 1 1 1 1 -1 1 -13 14 1 1 -1 1 -1 -1 1 15 15 1 1 -1 -1 1 -1 1 11 16 1 1 -1 -1 -1 -1 -1 -1

2.2 Design Of Experiment (con’t)

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2.3 Implementation Of Experiment

• Prepare the flour, water, yeast • Mix the yeast with the flour

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2.3 Implementation Of Experiment

• Put the water in• Form a crude dough

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2.3 Implementation Of Experiment

• Put the dough in warm water

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2.3 Implementation Of Experiment

• Observe and write down the height

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3. Data Analysis

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3.1 Main effect plot

1-1

3. 2

2. 8

2. 4

2. 0

1-1 1-1

1-1

3. 2

2. 8

2. 4

2. 0

1-1 1-1

加水量

平均值

初始水温 酵母用量

密封 发酵时间 盐

响应 主效应图数据平均值

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3.2 Interaction plot

1- 1 1- 1 1- 1 1- 1 1- 1

3. 2

2. 4

1. 6

3. 2

2. 4

1. 6

3. 2

2. 4

1. 6

3. 2

2. 4

1. 6

3. 2

2. 4

1. 6

加水量

初始水温

酵母用量

密封

发酵时间

-1

1

加水量

-11

水温初始

-11

用量酵母

-1

1

密封

-11

时间发酵

响应 交互作用图数据平均值

AB, AC, BE, BF, CD and CE seem to have significant interactions.

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3.3 Half Probability Plot

14121086420

98

95

90

85

80

70

60

50

403020100

绝对标准化效应

百分比

A 加水量B 初始水温C 酵母用量D 密封E 发酵时间F 盐

因子 名称

不显著显著

效应类型

BF

AC

F

C

B

A

标准化效应的半正态图 Al pha = . 05)(响应为 响应,

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PowerPoint picture page

3.4 Pareto Chart

E

D

AB

AC

F

BF

A

B

C

14121086420

标准化效应

2. 45

A 加水量B 初始水温C 酵母用量D 密封E 发酵时间F 盐

因子 名称

Pareto 标准化效应的 图 Al pha = . 05)(响应为 响应,

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3.5 Half Probability Plot(con’t)

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99. 8

98

95

90

8580

70

6050403020100

绝对标准化效应

百分比

A 加水量B 初始水温C 酵母用量F 盐

因子 名称

不显著显著

效应类型

BF

AC

F

C

B

A

标准化效应的半正态图 Al pha = . 05)(响应为 响应,

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3.6 Statistical Testing (ANOVA)

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3.7 Residual Checking

0. 40. 20. 0-0. 2-0. 4

99

90

50

10

1

残差

百分比

321

0. 4

0. 2

0. 0

-0. 2

拟合值

残差

0. 30. 20. 10. 0-0. 1-0. 2-0. 3

4. 8

3. 6

2. 4

1. 2

0. 0

残差

频率

16151413121110987654321

0. 4

0. 2

0. 0

-0. 2

观测值顺序

残差

正态概率图 与拟合值

直方图 与顺序

响应 残差图

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3.8 Regression Model

• RESPONSE=2.5500+0.1625*A

+0.3000*B+0.6750*C-0.1500*F

-0.1375*AC+0.1500*BF

AC=BEBF=CD

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3.9 Contour Plots

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3.10 Residuals VS Factors

10-1 10-1 10-1

0. 4

0. 2

0. 0

-0. 2

10-1

0. 4

0. 2

0. 0

-0. 2

10-1 10-1

A

残差

3

B C

D E F

残差3 与 A, B, C, D, E, F 的散点图

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3.11 Dispersion Effect

• We then calculate the standard deviation of residuals at the low and high level and use statistic

to present the dispersion

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3.11Dispersion Effect (con’t)

3210- 1- 2- 3

99

95

90

80

70

605040

30

20

10

5

1

分散效应

百分比

均值 - 0. 07994

标准差 0. 9020

N 13

AD 0. 176P 值 0. 903

分散效应 的概率图 - 95% 正态 置信区间

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3.12 Response Optimization

曲线高

低0. 71000D优化

d = 0. 71000

望大响应

y = 3. 550

0. 71000合意性复合

- 1. 0

1. 0

- 1. 0

1. 0

- 1. 0

1. 0

- 1. 0

1. 0初始水温 酵母用量 盐加水量

[1. 0] [1. 0] [1. 0] [ - 0. 7374]

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4. Conclusions• Significant factors: water volume, water

temperature, amount of yeast and salt.• Interactions:

water volume*amount of yeast

water temperature*salt• Dispersion is not significant• Optimal solution is out of our experiment

settings, but we can get the direction of improvement

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References

1.Design and Analysis of Experiments 6ed Douglas C.

Montgomery2.Dispersion Effect From Fractional Designs George E. P. Box, R. Daniel Meyer,1986

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END

Thank you!Q&A

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