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Development on a Process Optimization Method Based Quality by Design (QbD) for a Super-TIG Special Welding Process KCI 등재
Super-TIG 특수용접 공정을 위한 Quality by Design(QbD) 기반 공정 최적화 방법 개발
- 언어KOR
- URLhttps://db.koreascholar.com/Article/Detail/442907
pp.52-64
The number of significant issues on many welding processes are often connected to high productivity and manufacturability at low costs. The research on welding processes in the literature has reported several research activities, but there is still scope for improvement in most industrial settings. The primary goal of this research is to determine the best super-TIG welding settings to use for groove welding. First, in order to determine the quality characteristics and risks associated with them, concepts and frameworks of quality by design (QbD) which is a new standard in pharmaceutical area in order to improve drug qualities were integrated into this process optimization. Second, stepwise experimental design approaches including a factorial design as well as a response surface methodology (RSM) were customized and performed for this specific automated super-TIG welding process. Third, based on experimental design results, the optimal operating conditions with both design space (i.e., acceptable range of operating conditions) and safe operating space (i.e., safe range of operating conditions) were obtained. Finally, a case study including QbD steps, stepwise experimental design approaches, design and operating spaces, the optimal factor settings, and their association validation results was conducted for verification purposes.
2. 이론적 배경
2.1 아크용접
2.2 Quality by Design (QbD)
2.3 실험계획법(Design of Experiment, DoE)
2.4 반응표면법(Response Surface Methodology,RSM)
2.5 디자인 스페이스(Design Space, DS)
3. 연구방법
3.1 용접 실험재료 및 조건
3.2 QbD 기반 단계적 실험계획 절차
3.3 다차원 디자인 스페이스(Multi-DimensionalDesign Space, MDDS) 및 안전 가용영역(Operating Space, OS)
4. 연구결과 분석
4.1 제품의 품질 목표 사항(Quality Target ProductProfile, QTPP)
4.2 잠재적 주요 품질 특성(Critical QualityAttributes, CQA)
4.3 위해 평가(Risk Assessment, RA)
4.4 실험계획법(Design of Experiments, DoE) 및반응표면법(Response Surface Methodology,RSM)
4.5 디자인스페이스(DS) 및 안전가용영역(OS)
4.6 최적화 결과 검증
5. 결론 및 향후 연구방향
Acknowledgement
References
