Deadline Date: 31 May 2026
In modern engineering, uncertainty is an inherent characteristic of product design and manufacturing processes. Sources of uncertainty—ranging from material variability and geometric tolerances to operational conditions and human-induced factors—can significantly affect product performance, quality, and reliability. Thus, how to accurately simulate, model and quantify these uncertainties to ensure high reliability and long service life of products is a research hotspot in the field of engineering design. Uncertainty quantification in product design and manufacturing is a powerful tool to tackle the above challenges.
Uncertainty Quantification (UQ) provides a systematic framework to model, propagate, and mitigate these uncertainties, ensuring more robust and reliable product development. In recent years, the integration of UQ with advanced computational tools and surrogate models has enabled engineers to tackle complex, high-dimensional problems that were previously intractable.
This special issue would aim to establish an academic exchange platform between experts and scholars, also, to establish a common understanding about the state of the field and draw a road map on where the research is heading, highlight the issues and discuss the possible solutions, and provide the data, models, and methods necessary to perform uncertainty quantification in product design and manufacturing. Potential topics include, but are not limited to:
(1)Computer simulation and mathematical modeling in product design and manufacturing
(2)Theory and method of uncertainty quantification in product design and manufacturing
(3)Design and manufacturing process parameters optimization based on computer simulation
(4)Reliability analysis and reliability design optimization based on surrogate model
(5)Design methods and applications for high-reliability and long-life products
In modern engineering, uncertainty is an inherent characteristic of product design and manufacturing processes. Sources of uncertainty—ranging from material variability and geometric tolerances to operational conditions and human-induced factors—can significantly affect product performance, quality, and reliability. Thus, how to accurately simulate, model and quantify these uncertainties to ensure high reliability and ... show more
Editorial board
