[논문]혼합물 실험계획법을 활용한 고무 교질 현탁액 제조 공정의 최적화

유인곤; 안성재; 유성명; 홍성훈; 이민구

doi:10.7469/jksqm.2024.52.2.377

[국내논문] 혼합물 실험계획법을 활용한 고무 교질 현탁액 제조 공정의 최적화
Optimization of a Rubber based Colloidal Suspension Manufacturing Process Using Mixture Experimental Design

品質經營學會誌 = Journal of Korean society for quality management, v.52 no.2, 2024년, pp.377 - 394

유인곤 (충남대학교 정보통계학과) , 안성재 (충남대학교 정보통계학과) , 유성명 ((주)아이넴 부설연구소) , 홍성훈 (전북대학교 산업정보시스템공학과) , 이민구 (충남대학교 정보통계학과)

Abstract ▼ AI-Helper

Purpose: To derive the optimal conditions for the Rubber based colloidal suspension manufacturing process, which made using a stirrer, to apply the mixture design method. Methods: We used two process component and one process variable Mixture design to derive the optimal conditions for the process. The response variables were selected for rotational viscometer measures which can represent Rubber based colloidal suspension quality. The input variables were selected as the values of rubber-organic solvent expressed in proportions as process components and stirring amount as a process variable which are controllable factors in the process. Results: Based on the results of the experiment, rubber and organic solvent and the interaction between stirring amount and rubber and the interaction between stirring amount and rubber and organic solvent were significant. Reproducibility of the regression model was confirmed by the observation that the values obtained from the reproducibility experiment fell within the confidence interval. Additionally, the model predictions were found to be in close agreement with the field measurements. Conclusion: In this study, a regression model was developed to predict the viscosity change of colloidal suspensions based on the proportion of rubber based colloidal suspension. The developed regression model can lead to improved product quality.

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표/그림 (26)

그림 Figure 1. Rubber cement from Elmer's products, Inc. (a), and Black Rubber cement from Parts express electronics (b)
그림 Figure 2. Rubber chips before vulcanization prepared to be used in the production of rubber based colloidal suspension, and rubber based colloidal suspension that has been fully stabilized.
그림 Figure 3. Schematic showing several examples of phenomena associated with destabilization of colloidal dispersions.
표 Table 1. Gage R&R criteria
표 Table 2. Viscometer Gage R&R analysis result
그림 Figure 4. Run Chart of vibrational viscometer
그림 Figure 5. Run Chart of rotational viscometer
표 Table 3. Selection of the input variables
표 Table 5. Screening design data sheet
표 Table 4. Screening design factor level
표 Table 6. Estimated regression coefficients of screening design (before pooling)
표 Table 7. Unusual obervations
표 Table 8. Screening design (after pooling)
그림 Figure 6. Pareto Chart of screening design (after pooling)
표 Table 9. Modified screening design (before pooling)
표 Table 10. Modified screening design (after pooling)
표 Table 11. Mixture design factor level
표 Table 12. Mixture design data sheet
그림 Figure 7. Surface plot of rotational viscometer VS stirring amount, rubber
표 Table 13. Estimated regression coefficients of mixture design (before pooling)
표 Table 14. Estimated regression coefficients of mixture design (after pooling)
표 Table 15. Model summary (after pooling)
표 Table 16. Analysis of variance (after pooling)
그림 Figure 8. Response optimizer setup
표 Table 17. Predicted response for high level ratio points using model
그림 Figure 9. Response optimizer result

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