Through the methodology presented in this study, the feasibility of analysing ventilation efficiency using Age-of-air in agricultural facilities was confirmed and it will be upgraded for actual application considering characteristics of ventilation structure.
More importantly, the methodology presented in this study enables the estimation of the kinematic wave model parameters anywhere over the globe, thus allowing flood modeling in ungauged basins at regional to global scales.
The methodology presented in this study facilitates the production of helical drills on a 6-axis CNC grinding machine.
The methodology presented in this study combines the cam design, machining and inspection activities, and makes possible a flexible and automatic spatial cam design and manufacturing process.
The methodology presented in this study uses the desirability analysis, an adoption of proven quality tools in engineering, while the needed 'experimental' measurements were performed via finite elements analysis (FEA).
The methodology presented in this study can support the design and optimization of fuel management programs and policies in agro-pastoral areas of the Mediterranean Basin and herbaceous type landscapes elsewhere, where recurrent grassland fires pose a threat to rural communities, farms and infrastructures.
The methodology presented in this study is useful for understanding the performance of the seepage control system widely deployed in underground powerhouse engineering.
The discretization error predictions based on the methodology presented in this study are in good agreement with the 'true error'.
The simulation results revealed that using DEM only along with the simulation methodology presented in this study suffices to predict the hydrodynamics of a fluidized bed to a reasonable accuracy.
The methodology presented in this study allows for a first-order prediction of the temperature at which ion irradiation experiments ('proxy' conditions) should take place in order to approximate neutron irradiation ('target' conditions).
Furthermore, the methodology presented in this study is expected to help address issues regarding the uncertainty and complexity of the distortion of demand-related information existing broadly among supply chain members for an efficient supply chain coordination.
