Robert F. Mudde

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– In this paper, an image reconstruction algorithm for an electrical capacitance tomography (ECT) system is presented. It is based on an artificial neural network (ANN) Four kinds of grid in the same pipe and with different resolutions are discussed. The sensitivity of a pixel in each grid has been calculated and analyzed. The trained neural network has(More)
The trajectories, referred to as lifelines, of individual microorganisms in an industrial scale fermentor under substrate limiting conditions were studied using an Euler-Lagrange computational fluid dynamics approach. The metabolic response to substrate concentration variations along these lifelines provides deep insight in the dynamic environment inside a(More)
a r t i c l e i n f o The performance of two tomographic reconstruction algorithms, Simultaneous Algebraic Reconstruction Technique (SART) and Adaptive Genetic Algorithm (AGA), is evaluated based on synthetic data mimicking X-ray computed tomography of a bubbling fluidized bed. The simulations are based on a high speed X-ray tomography system, consisting of(More)
Algae have been shown to be a promising source of potential biofuel, as well as other beneficial by-products. The cultivation process of algae is still open to refinement, however; bioreactor design can still be optimized. One of the factors that affect light penetration through a bioreactor growing algae is cell shape. This study endeavored to find (i) if(More)
Polychromatic x-ray beams traveling though material are prone to beam hardening, i.e., the high energy part of the incident spectrum gets over represented when traveling farther into the material. This study discusses the concept of a mean attenuation coefficient in a formal way. The total energy fluence is one-to-one related to the traveled distance in(More)
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