In industrial sheet-metal processing, processes are parameterized based on the material specifications. However, the manufacturing process of sheet-metal coils determines the material properties and as every manufactu...
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In industrial sheet-metal processing, processes are parameterized based on the material specifications. However, the manufacturing process of sheet-metal coils determines the material properties and as every manufacturing process is subject to variations, variations in material properties occur in the semi-finished product influencing the subsequent sheet-metal processing. The production of high-quality parts requires considering these varying material properties to adapt the processes accordingly. This paper shows that material data from non-destructive eddy current measurements and process data of the coil production enable decision support for the parameterization of fine blanking processes. A material-data-driven approach using material data recorded in an industrial setting is employed to investigate the influence of parameter settings in the fine blanking process on specific quality characteristics of fine blanked workpieces.
Laser metal deposition (LMD) is increasingly becoming an interesting tool in recent years, especially as one capable of repairing complex metal parts or depositing special materials over the surfaces of high-reliabili...
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Laser metal deposition (LMD) is increasingly becoming an interesting tool in recent years, especially as one capable of repairing complex metal parts or depositing special materials over the surfaces of high-reliability components. Regardless of the application, and when and where LMD is used, material microstructure optimization is aimed in order to achieve better component performance. The conjunction of LMD with laser remelting was already researched in order to achieve superior properties;however, the mathematical understanding of how the remelting process parameters influence the outcome regarding the amount of material affected is still blurry. Having this in mind, this work combined experimentation and measuring techniques in a design of experiments to obtain data from remelted LMD tracks, thus attempting to evaluate the relationship between remelting speed, laser power, and remolten volume. The procedure used in such design of experiments, and the mathematical correlations developed, are brought here to ease process parametrization of the laser deposition and remelting of Inconel 625. Confirming the findings in previous works, it was observed that it is possible to obtain a relation between laser power and laser remelting speed to a given amount of the remelted material, albeit improvement was possible due to changes in considerations and a broader design of experiments. By the end, with known clad dimensions and a laser remelting speed chosen, specific laser powers could be calculated for a desired amount of material to be remelt with more precision. The main source of deviation is judged to be the differences between the observed and the assumed perpendicular remelted profiles. Compensation for this deviation remains for further works. Nonetheless, an exponential mathematical correlation between the process parameters and the quantity of remelted material on a clad was found. Such correlation can be used to ease the remelting process parametrization of alm
Regional hydrological modelling, or hydrological macro-modelling implies the repeated use of a model everywhere within a region using a global set of parameters. A majority of parameters of the macroscale hydrological...
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Regional hydrological modelling, or hydrological macro-modelling implies the repeated use of a model everywhere within a region using a global set of parameters. A majority of parameters of the macroscale hydrological model must be estimated, a priori, using existing climate, soil and vegetation data. Observations for calibration and validation of the model are only available at a, subset of sites where the model is applied. For all other sites without observations the model application needs to be based on global parameters. Ecomag is a distributed, physically-based model, adapted for application to a regular grid and is used as a platform for model development at the University of Oslo (UiO). Valuable insights into hydrological processes and incitements for model development may be gained by comparing high-quality data sets and model calculations. The inter-European multidisciplinary NOPEX (NOrthern hemisphere climate process land surface EXperiment) project is one of a few prioritized full-scale land surface experiments that provides high quality data sets for a boreal environment that are utilized herein. These are complemented with data from a new experimental area in the mountains in mid-eastern Norway around Lake Aursunden. The UiO model platform facilitates the use of different parameterizations of sub-grid variability. The present work focuses on the identification of process scales for the two study areas and related process parameterization as evaluated from the available data sets. The establishment of a regional set of parameters and data: requirements are two other important issues discussed.
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