Abstract
We replace the conventional mixed orthogonal table with the square orthogonal conference matrix and design it by [a,b] analysis. By comparison, we assume that difference-level factors are strongly related to interactions, and common-level factors to main effects. As a model example, we report optimization research on the bonding of aluminum plates and double-sided tape.
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References
Mori, T., Tanabe, S., Iwanaga, Y., & Sadamatsu, I. (2022). Assignment, analysis, and comparison of parameter design for conference matrices C8 and L18 by numerical experiments, 129th Japan Society for Quality Control: Research Presentation No.2-3 (pp. 41–44).
Mori, T., Tanabe, S., Iwanaga, Y., & Sadamatsu, I. (2022). An attempt to select the optimal conditions for an orthogonal array experiment to estimate the interaction from the best experiment No. and factor effects. 129th Japan Society for Quality Control: Research Presentation No2–3 (pp. 37–40).
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Mori, T. (2024). Parameter Design of Aluminum Plate and Double-Sided Tape Using Conference Matrices C6. In: Conference Matrices for Optimizing and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-99-6839-8_8
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DOI: https://doi.org/10.1007/978-981-99-6839-8_8
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