In this study, we present a new approach for the growth monitoring of crystals using micro X-ray computed tomography (XCT). This technique allows us to track the evolution of the total crystal volume and surface in real time, and to calculate the growth rate. By segmenting the 3D XCT images using a robust method, we are able to extract detailed information about the crystals, such as their number, volume, diameter, and sphericity. Additionally, we determine the growth rates of individual crystal faces. Our method has the potential to greatly benefit the pharmaceutical and chemical industries, as it provides insight into the structural parameters of crystals during growth, which is crucial for optimization and control.
Gautier Hypolite, Jérôme Vicente, Hugo Taligrot, Philippe Moulin. X-ray tomography crystal characterization: Growth monitoring. Journal of Crystal Growth, 2023, 612, pp.127187. ⟨10.1016/j.jcrysgro.2023.127187⟩. ⟨hal-04071090⟩
Gautier Hypolite, Jérôme Vicente, Philippe Moulin. X-Ray Tomography Crystal Characterization: Automatic 3D Segmentation. Microscopy and Microanalysis, 2023, 232, pp.119673. ⟨10.1093/micmic/ozad019⟩. ⟨hal-04055847⟩ Plus de détails...
Abstract Understanding the structural parameters of crystals during crystal growth is essential for the pharmaceutical and chemical industries. This study proposes a new method for 3D images of crystals obtained with micro X-ray computed tomography. This method aims to improve the crystal segmentation compared to the watershed methods. It is based on plane recognition at the surface of the crystals. The obtained segmentation is evaluated on a synthetic image and by considering the recognized particle number and convexity. The algorithm applied to three samples (potassium alum, chromium alum, and copper sulfate) reduced oversegmentation by 87% compared to watershed based on ultimate erosion while keeping the convexity of the recognized particle.
Gautier Hypolite, Jérôme Vicente, Philippe Moulin. X-Ray Tomography Crystal Characterization: Automatic 3D Segmentation. Microscopy and Microanalysis, 2023, 232, pp.119673. ⟨10.1093/micmic/ozad019⟩. ⟨hal-04055847⟩
Gautier Hypolite, Jean-Henry Ferrasse, Olivier Boutin, Sandrine del Sole, Jean-François Cloarec. Dynamic modeling of water temperature and flow in large water system. Applied Thermal Engineering, 2021, 196, pp.117261. ⟨10.1016/j.applthermaleng.2021.117261⟩. ⟨hal-03597512⟩ Plus de détails...
Thermal energy counts for a large part of the total energy consumption. To reduce fossil fuel consumption for heat and cold generation, different low temperature heat sources have been considered. Water networks have been considered as a large amount of water flow through it. To measure the thermal potential of the system, this paper provides a method in unsteady state to determine water temperature and flow in large water systems made of buried pipes. The model has been applied to a raw water supply system made up of 5000 km of piping and carrying 200 million m3 annually situated in the south of France. Water temperature is calculated considering heat exchange and the spatial specificities of the network (diameter of the pipes, depth, type of soil ...). Soil and water temperature measurements have been made to validate the model values. The model can predict water flow and temperature according to time with good accuracy: maximal error of 10% on the flow is obtained, the root mean square error on the calculated temperature is 0.84 circle C, and the correlation coefficient between the calculated and the measured temperature values is 0.98. The impact of adding several heat (or cold) injections in the system has been evaluated with the model. After a 2 MW heat exchange, the water temperature is increased by at least 1circC for 10 km downstream the exchange.
Gautier Hypolite, Jean-Henry Ferrasse, Olivier Boutin, Sandrine del Sole, Jean-François Cloarec. Dynamic modeling of water temperature and flow in large water system. Applied Thermal Engineering, 2021, 196, pp.117261. ⟨10.1016/j.applthermaleng.2021.117261⟩. ⟨hal-03597512⟩
Gautier Hypolite, Jean-Henry Ferrasse, Olivier Boutin, Sandrine del Sole, Jean-François Cloarec. Dynamic modeling of water temperature and flow in large water system. Applied Thermal Engineering, 2021, 196, pp.117261. ⟨10.1016/j.applthermaleng.2021.117261⟩. ⟨hal-03515146⟩ Plus de détails...
Thermal energy counts for a large part of the total energy consumption. To reduce fossil fuel consumption for heat and cold generation, different low temperature heat sources have been considered. Water networks have been considered as a large amount of water flow through it. To measure the thermal potential of the system, this paper provides a method in unsteady state to determine water temperature and flow in large water systems made of buried pipes. The model has been applied to a raw water supply system made up of 5000 km of piping and carrying 200 million m3 annually situated in the south of France. Water temperature is calculated considering heat exchange and the spatial specificities of the network (diameter of the pipes, depth, type of soil ...). Soil and water temperature measurements have been made to validate the model values. The model can predict water flow and temperature according to time with good accuracy: maximal error of 10% on the flow is obtained, the root mean square error on the calculated temperature is 0.84 circle C, and the correlation coefficient between the calculated and the measured temperature values is 0.98. The impact of adding several heat (or cold) injections in the system has been evaluated with the model. After a 2 MW heat exchange, the water temperature is increased by at least 1circC for 10 km downstream the exchange.
Gautier Hypolite, Jean-Henry Ferrasse, Olivier Boutin, Sandrine del Sole, Jean-François Cloarec. Dynamic modeling of water temperature and flow in large water system. Applied Thermal Engineering, 2021, 196, pp.117261. ⟨10.1016/j.applthermaleng.2021.117261⟩. ⟨hal-03515146⟩
