Estimation of Phenolphthalein-Alkalinity titration in Degreasing Process
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This presentation was done in June 2014 by one of our participants in ICST and ICBELSH conferences.
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Estimation of Phenolphthalein-Alkalinity titration in Degreasing Process
- 1. 1 Estimation of Phenolphthalein- Alkalinity titration in Degreasing Process Changpingnga Chollatron Kittisupakorn Paisan with Statistic and Partial Least Squares regression method
- 2. Presentation Outline • Background • Objective • Experiment • Analysis – Finding Suitable Model – Correlation Level Test – Partial Least Squares Regression • Conclusion 2
- 3. 3 Background Monitoring cleanser concentration in a degreasing bath can be indicated by Phenolphthalein-alkalinity (P-alkalinity) titration.
- 4. 4 Objective This research focuses on estimation of P-alkalinity value represented the concentration of the cleanser solution in the degreasing bath by using parameters which are measurable with standard tools.
- 5. How To Work Experiment Analysis Conclusion 5
- 6. Experiment 6 Sample From Degreasing bath Independent Variables pH Measuring Temperature and Conductivity Measuring Weighing for density calculating Dependent Variable P-Alkalinity titration
- 10. Partial Least Squares Regression In this case, P-Alkalinity was estimated from 3 following independent variables – Electro Conductivity (EC) – Density (D) – Temperature (T) The maximum degree is 3 from suitable model and correlation level. 10
- 11. Result From PLS (Cubic Model) R-square = 72.52% Accuracy = 8.82% 11 T P-Alkalinity= B X 2 3 2 3 2 3 -35936.5 1 87.6 EC 0.7 EC -0.1 EC 12332.5 D 6249.3 D 4216.6 D B = , X = 270.0 T 1.1 T -0.1 T 89.3 EC×D -0.1 EC×T 289.9 D×T -0.7 EC×D×T
- 13. Result From PLS (Linear Model) R-square = 72.34% Accuracy = 8.62% 13 1 EC P-Alkalinity= -49149.9 82.7 42614.5 62.2 D T
- 14. Conclusion Model R-Square Accuracy Linear Model 72.52% 8.62% Cubic Model 72.34% 8.82% 14 Therefore, the developed PLS models are applicable to be used with the consideration of specific cleansers: in this work, UniPrep®SP1 alkaline degreaser and UniPrep®BioActivator.
- 15. Thank you for your attention 15
- 16. Why the P-Alkalinity titration employed to monitor the degreasing bath? 16 P-Alkalinity titration is a technique that recommended by detergent provider to monitor the degreasing bath.
- 17. Electro Conductivity 17 Conductivity has been employed because the components of commercial cleanser (alkaline surfactant) contain ions. Conductivity measuring was performed with the same simulations of degreasing bath as alkaline titration
Editor's Notes
- Good afternoon, Greeting every one. I’m Chollatorn Changpingnga. I would like to present Estimation of Phenolphthalein-Alkalinity titration in Degreasing Process with Statistic and Partial Least Squares regression method.
- This is Presentation Outline
- 1.In color coating processes, a pre-treatment process is a one of most of essential operations to clean all dusts and grease out from product parts. 2.อ่านในสไลด์ 3. this procedure carried out by human leads to unsatisfactory error. The color of solution is opaque this is the reason that the operator can not stop titration at the endpoint.
- 1. อ่านตามสไลด์ 2. such as pH, Electro conductivity, Density and Temperature 3. Recently, the case study factory has used the chemical degreasers which are called “UniPrep®SP1” and “UniPrep®BioActivator” 4. The factory has controlled concentration by observing the value of P-alkalinity which demonstrates alkaline compound’s value in liquid solution with restricted range between 1250-1450 mg/L as CaCO3.
- In this research has 3 major steps is Experiment, Analysis including Statistic and Partial Least Squares Regression and conclusion
- This research emphasized on estimation of P-alkalinity of complex solution in degreasing bath. P-Alkalinity titration is a technique that recommended by detergent provider to monitor the degreasing bath. The high precise tools were used thus data from measuring should have even more accuracy and the human mistake would be suspended. These tools are: Electro conductivity measurement: Conductivity has been employed because the components of commercial cleanser (alkaline surfactant) contain ions. Conductivity measuring was performed with the same simulations of degreasing bath as alkaline titration [7]. pH measurement: pH of pure UniPrep®SP1 is 13 that more than solute (about 7 )so concentration of solution will influence to pH [8]. Density calculation: Density of pure UniPrep®SP1 is 1.075 g/cm3 so density of solution is influenced by concentration of solution [8]. Temperature measurement: Every reaction has a reaction’s heat. Solution in degreasing bath has many kinds of alkaline cleansers and oil. The assumptions are that the reactions in degreasing bath are more than one reaction and the sum of heat of reactions is not equal to zero
- The Data from sample have been collected for 1 month, 5 days a week. This table shows some properties of all variables. I would like to focus on the range of P-Alkalinity that is 1100-1900 mg/L as CaCO3, this range is limit for application
- Finding suitable model from the relationship among dependence variable (P-Alkalinity) and independence variables (Electro Conductivity, Density, Temperature and pH) was a guideline when using PLS regression. From the Table 2, cubic model relation of Electro Conductivity, Density and Temperature with P-Alkalinity gave the highest R-square values, 55.1%, 56.1% and 4.1% respectively. For pH and P-Alkalinity relation, quadratic and cubic models showed same R-square that is 6%.
- After that Pearson’s correlation was used as a tool to determine the level of correlation and to cut some parameters out when it has no relationship with response. In Table 3, Pearson’s coefficient (r) showed the level of relation between cubic of Electro Conductivity with P-Alkalinity is 0.739 meaning Electro Conductivity and P-Alkalinity have high positive correlation and r coefficient between cubic of Density and P-Alkalinity is 0.687 meaning Density and P-Alkalinity have moderate positive correlation. In the other hand r coefficient of cubic of Temperature and quadratic of pH are 0.172 and -0.039 respectively that showing the 2 independent variables have a little correlation. If consider only on pH, r coefficient was -0.039 nearly to zero and it was 4 times less than r coefficient of cubic of Temperature. Therefore pH variable must be omitted from correlation test.
- 1. Partial Least Squares in miniTab® program was a tool to estimate P-Alkalinity with measuring variables from degreasing bath. 2. Partial Least Squares has been very popular in areas like chemical engineering, where predictive variables often consist of many different measurements in an experiment.
- The equation from PLS is P-Alkalinity equal to B matrix transpose multiply by X matrix. B matrix contain coefficients of each variable and X matrix contains variables which estimate P-Alkalinity form PLS regression. R-square = 72.52% , Accuracy = 8.62% The Equation has 14 terms including the constant value. It becomes difficult to use.
- If finding suitable model step is considered again. Form Table 2, R-square of each model has less difference, the simple model will be a linear formation and it have to take into regression process step by step.
- This is linear equation from Partial Least Squares regression P-Alkalinity equal to 82.7(Electro Conductivity)+42,614.5(Density)+62.2(Temperature)-49,149.9 Whit R-square = 72.34% and Accuracy is 8.62%
- It was found that the approach with a linear model equation and with a cubic model equation give the accuracy of 8.62% and 8.82% respectively. อ่านตามสไลด์