단계적 실험 설계와 다차원 디자인 스페이스 분석 기술을 통한 초저온 SAW 공정의 최적 용접 파라미터 설계
Optimal Parameter Design for a Cryogenic Submerged Arc Welding(SAW) Process by Utilizing Stepwise Experimental Design and Multi-dimensional Design Space Analysis
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Purpose: The primary objective of this research is to develop the optimal operating conditions as well as their associated design spaces for a Cryogenic Submerged Arc Welding(SAW) process by improving its quality and productivity simultaneously. Methods: In order to investigate functional relationships among quality characteristics and their associated control factors of an SAW process, a stepwise design of experiment(DoE) method is proposed in this paper. Based on the DoE results, not only a multi-dimensional design space but also a safe operating space and normal acceptable range(NAR) by integrating statistical confidence intervals were demonstrated. In addition, the optimal operating conditions within the proposed NAR can be obtained by a robust optimal design method. Results: This study provides a customized stepwise DoE method (i.e., a sequential set of DoE such as a factorial design and a central composite design) for Cryogenic SAW process and its statistical analysis results. DoE results can then provide both the main and interaction effects of input control factors and the functional relationships between the input factors and their associated output responses. Maximizing both the product quality with high impact strength and the productivity with minimum processing times simultaneously in a case study, we proposed a design space which can provide both acceptable productivity and quality levels and NARs of input control factors. In order to confirm the optimal factor settings and the proposed NARs, validation experiments were performed. Conclusion: This research may provide significant contributions and applications to many SAW problems by preparing a standardization of the functional relationship between the input factors and their associated output response. Moreover, the proposed design space based on DoE and NAR methods can simultaneously consider a number of quality characteristics including tradeoff between productivity and quality levels.
Abstract
Purpose: The primary objective of this research is to develop the optimal operating conditions as well as their associated design spaces for a Cryogenic Submerged Arc Welding(SAW) process by improving its quality and productivity simultaneously. Methods: In order to investigate functional relationships among quality characteristics and their associated control factors of an SAW process, a stepwise design of experiment(DoE) method is proposed in this paper. Based on the DoE results, not only a multi-dimensional design space but also a safe operating space and normal acceptable range(NAR) by integrating statistical confidence intervals were demonstrated. In addition, the optimal operating conditions within the proposed NAR can be obtained by a robust optimal design method. Results: This study provides a customized stepwise DoE method (i.e., a sequential set of DoE such as a factorial design and a central composite design) for Cryogenic SAW process and its statistical analysis results. DoE results can then provide both the main and interaction effects of input control factors and the functional relationships between the input factors and their associated output responses. Maximizing both the product quality with high impact strength and the productivity with minimum processing times simultaneously in a case study, we proposed a design space which can provide both acceptable productivity and quality levels and NARs of input control factors. In order to confirm the optimal factor settings and the proposed NARs, validation experiments were performed. Conclusion: This research may provide significant contributions and applications to many SAW problems by preparing a standardization of the functional relationship between the input factors and their associated output response. Moreover, the proposed design space based on DoE and NAR methods can simultaneously consider a number of quality characteristics including tradeoff between productivity and quality levels.
참고문헌 (19)
- 안현준, "내부식용 API 5L X70 다전극 SAW 용접부의 내면 저온인성에 미치는 외면 입열의 영향", 대한용접접합학회지, 32(1), pp.93~101 (2014), 대한용접접합학회
- ASME Boiler and Pressure Vessel Committee on Pressure Vessels, "BPVC Section II-Materials-Part A-Ferrous Materials Specification", American Society of Mechanical Engineers, ~ (2017)
- ASME Boiler and Pressure Vessel Committee on Pressure Vessels, "BPVC Section IX-Welding, Brazing, and Fusing Qualifications", American Society of Mechanical Engineers, ~ (2017)
- ASME Boiler and Pressure Vessel Committee on Pressure Vessels, "BPVC Section VIII-Rules for Construction of Pressure Vessels Division 1", American Society of Mechanical Engineers, ~ (2017)
- 변재현, "혼합물 실험계획과 다수 반응변수 최적화를 통한 속경화 초저온접착제 개발 사례", 품질경영학회지, 42(4), pp.757~768 (2014), 한국품질경영학회[DOI]
- Choi, G., "Development of New Experimental Region Screening Methods to Generating a Safe Operating space on Pharmaceutical Quality by Design(QbD) Systems", MS, pp.2016
- ICH Harmonised Tripartite Guideline, "Pharmaceutical Development Q8 (R2)", International conference of harmonisation (2009)
- Jeong, J., "Study on an Input Variable Design Sapce Identification Method by Using Inverse Regression Approaches", MS, pp.2017
- 정병재, "저온용 강의 용접입열량에 따른 열영향부의 충격인성 변화에 관한 연구", 석사, 자동차선박생산기술전공, pp.2012
- Kim, Y., "Development of Rubust Parameter Design and Optimization Methodologies for a Cryogenic Submerged Arc Welding Process", MS, pp.2018
- Technical Report of Statistical Methods and Tools Development to Apply Pharmaceutical QbD, "Korean Food and Drug Administration", ~ (2016)
- Tuan-Ho Le, "A literature review on RSM-based robust parameter design (RPD): Experimental design, estimation modeling, and optimization methods", 품질경영학회지, 46(1), pp.39~74 (2018), 한국품질경영학회[DOI]
- 이동헌, "실험계획법을 이용한 전자부품 위치정렬장치 최적 운영조건 사례연구", 품질경영학회지, 43(3), pp.453~466 (2015), 한국품질경영학회[DOI]
- 이승민, "Submerged Arc Welding에서 용접조건이 용접성에 미치는 영향", 석사, 기계공학과, pp.2012
- Lin, D. K. J., "Dual Response Surface Optimization", Journal of Quality Technology, 27, pp.34~39 (1995)
- Robinson, T. J., "Robust Parameter Design : A Review", Quality and Reliability Engineering International, 20, pp.81~101 (2004)
- Vining, G. G., "Combining Taguchi and Response Surface Philosophies : A Dual Response Approach", Journal of Quality Technology, 22, pp.38~45 (1990)
- Weman, K., "Welding Processes Handbook" (2012), Woodhead
- Yu, L. X., "Pharmaceutical Quality by Design : Product and Process Development, Understanding, and Control", Pharmaceutical Research, 25(4), pp.781~791 (2008)