| 6시그마를 이용한 타일 에폭시 접착제의 초기 접착 강도 향상에 관한 연구 |
| 이정호, 배규익, 하병욱, 김소민, 성시일 |
| 경기대학교 산업시스템공학과 |
| A Study on the Improvement of the Initial Adhesive Strength of Tile Epoxy Adhesive Using 6 Sigma Methodology |
| Jeong Ho Lee, Gyu Ik Bae, Byeong Uk Ha, So Min Kim, Si Il Sung |
| Department of Industrial and Systems Engineering, Kyonggi University |
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Received: May 29, 2024; Revised: July 3, 2024 Accepted: July 16, 2024. Published online: September 30, 2024. |
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| ABSTRACT |
Purpose:
This study aims to optimize the adhesive strength of epoxy adhesive when applied to tiles, addressing frequent issues of adhesion degradation observed in indoor interiors. The degradation often leads to costly repairs and maintenance, highlighting the need for improved adhesive formulations and application techniques.
Methods:
Employing the DMAIC (Define, Measure, Analyze, Improve, Control) methodology integral to Six Sigma and utilizing MINITAB for data analysis, this research focused on critical factors like curing time, application method, and mixing ratio. The Taguchi Experimental Design within the Design of Experiments (DOE) framework was applied to determine the impact of these parameters on adhesive strength.
Results:
The analysis facilitated by Taguchi’s method led to notable improvements in adhesive workability and consistency. It identified the optimal combination of factors that significantly increase adhesive strength, evidenced by the improvement in signal-to-noise ratio and I-MR control charts.
Conclusion:
By applying a structured statistical approach through Six Sigma and the Taguchi method, the study successfully pinpointed optimal conditions for epoxy adhesive application on tiles. This contributes to quality management in the manufacturing and application processes of epoxy adhesives, ensuring enhanced durability and reliability in indoor tiling applications. The findings offer a significant methodological framework for future material optimization research. |
| Key Words:
Epoxy Adhesive, Adhesive Strength, 6 Sigma Methodology, Taguchi Method |
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