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Experiment design of washing process. 于 航,姜伟,张博 田益 凡,郑奇威. Agenda. Motivation and object of the experiment Selection of factors Definition of response variable Design of experiment Analysis of experiment Conclusion Shortcomings and future extension. Motivation And Object . - PowerPoint PPT Presentation
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Experiment design of wash-ing process
于航,姜伟,张博田益凡,郑奇威
Agenda • Motivation and object of the experiment• Selection of factors• Definition of response variable• Design of experiment • Analysis of experiment• Conclusion• Shortcomings and future extension
Motivation And Object
• Study the washing process and try to find the satisfied optimal settings of param-eters to make the washing process effi-cient and effective
Selection Of Factors• Held constant factors
• Category and amount of blots (black ink)• Category and amount of washing powders (DiaoPai)• Category of wash (cotton)• Dimension of wash (20×20mm)• Method of washing (marinating)
• Design factors• Quantity of water• Time• Initial temperature
Range And Levels Of Design Fac-torsNumber Factors Range Actual Levels Coded level Type of
Factor
1 Quantity of water
(600ml-1200ml)
600 900
1200
-10
+1
Quantitative
2 Time (10min-30min)
102030
-10
+1
Quantitative
3 Initial temperature
(20 -50 )℃ ℃ 20℃35℃50℃
-10
+1
Quantitative
Definition Of Response Vari-able
Unsatisfied Neutral
Satisfied
1 2 3 4 5 6 7 8 9
Design Of Experiment• Choice of design
• Response surface methodology• central composite design
• Number of replicates• Only one replicate is performed
Design Of Experiment(cont’d)number Temperatu
reWater quan-tity
Time(min)
A B C
1 20 600 10 -1 -1 -12 50 600 10 1 -1 -13 20 1200 10 -1 1 -14 50 1200 10 1 1 -15 20 600 30 -1 -1 16 50 600 30 1 -1 17 20 1200 30 -1 1 18 50 1200 30 1 1 19 10 900 20 -1.68179 0 0
10 60 900 20 1.68179 0 011 35 395 20 0 -1.68179 012 35 1405 20 0 1.68179 013 35 900 3 0 0 -1.6817914 35 900 37 0 0 1.68179 15 35 900 20 0 0 016 35 900 20 0 0 017 35 900 20 0 0 018 35 900 20 0 0 019 35 900 20 0 0 020 35 900 20 0 0 0
Experiment Implementation标准序 运行序 PtType 区组 A B C 效果
1 1 1 1 -1 -1 -1 12 2 1 1 1 -1 -1 53 3 1 1 -1 1 -1 14 4 1 1 1 1 -1 35 5 1 1 -1 -1 1 46 6 1 1 1 -1 1 77 7 1 1 -1 1 1 28 8 1 1 1 1 1 69 9 -1 1 -1.68179 0 0 1
10 10 -1 1 1.681793 0 0 711 11 -1 1 0 -1.68179 0 512 12 -1 1 0 1.681793 0 213 13 -1 1 0 0 -1.68179 114 14 -1 1 0 0 1.681793 615 15 0 1 0 0 0 416 16 0 1 0 0 0 317 17 0 1 0 0 0 418 18 0 1 0 0 0 419 19 0 1 0 0 0 520 20 0 1 0 0 0 4
Experiment Analysis
标准序 运行序 PtType 区组 A B C 效果(效果)变换
1 1 1 1 -1 -1 -1 1 1.002 2 1 1 1 -1 -1 5 2.243 3 1 1 -1 1 -1 1 1.004 4 1 1 1 1 -1 3 1.735 5 1 1 -1 -1 1 4 2.006 6 1 1 1 -1 1 7 2.657 7 1 1 -1 1 1 2 1.418 8 1 1 1 1 1 6 2.459 9 -1 1 -1.68179 0 0 1 1.00
10 10 -1 1 1.681793 0 0 7 2.6511 11 -1 1 0 -1.68179 0 5 2.2412 12 -1 1 0 1.681793 0 2 1.4113 13 -1 1 0 0 -1.68179 1 1.0014 14 -1 1 0 0 1.681793 6 2.4515 15 0 1 0 0 0 4 2.0016 16 0 1 0 0 0 3 1.7317 17 0 1 0 0 0 4 2.0018 18 0 1 0 0 0 4 2.0019 19 0 1 0 0 0 5 2.2420 20 0 1 0 0 0 4 2.00
Experiment Analysis
Experiment Analysis(cont’d)
Experiment Analysis(cont’d)
Experiment Analysis(cont’d)
Experiment Analysis(cont’d)
R^0.5=(1.86+0.47A-0.20B+0.36C)
Experiment Analysis(cont’d)
Experiment Analysis(cont’d)
Conclusion• In order to maximize the response variable, we need to:
• Maximize A• Minimize B• Maximize C
• However, the values of A, B and C should be within the feasible region, that is we also have to take other con-strains into our consideration:• High temperature can do damage to the clothes• Marinate too long may result in bad smell• Economy reasons
Shortcomings and future exten-sion• Shortcomings
• Without considering economical factors• Single blot• Simple evaluation system• Fixed ranges of parameters
• Future extension• Extend range of blots• Perfect the evaluation system• Extend the experiment parameter range
THANK YOU!
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