Periodic Reporting for period 1 - SludgeCam (A smart centrifuge camera for testing dewatering ability of waste-water sludges in hyper-gravity)
Okres sprawozdawczy: 2023-05-01 do 2024-10-31
A big problem in the application of centrifuges is that one cannot “see” the centrifugation process as it is happening. You can see the output of the centrifugation, but not what happens during the centrifugation. This limits our understanding of the behaviour of the sample under large centrifugal forces. In addition, there is a lot of information in the response of the sample the centrifugal forces that can be used to analyse the sample, for example to extract mechanical properties such as the sample elasticity.
A practical motivation for our project is the dewatering of sludges during waste water treatment. In waste water treatment plants, the solid component of waste water is separated from the water by flocculation. Centrifuges are used to remove the remaining water from the sludges. How much water can we retrieve?This is an important practical question, as the cost of dewatering is high and will become higher in the future
In the ERC Poc “sludgeCam” project our team at TU Delft has developed a camera that enables one to visualise at high spatial and temporal resolution, and with colour images, the centrifugation of samples subject to centrifugal forces as high as 5000 the acceleration of gravity. 5000G in short. To give an idea of the technical challenges we were able to overcome, an object of 1 kg subject to an acceleration of 5000G is subject to an effective compressive force of 5 Tons. Developing hardware that can sustain large centrifugal forces without breaking has been a major challenge. The sludgeCam device is complemented with software which enables an operator to evaluate the mechanical response of the sample to the centrifugal forces. This software enables one for example to monitor the quality of an industrial sample, and not only in the waste water sector. We have, for example, tested yogurt, blood and concrete. Examples of visualisations obtained with our camera can be found in Youtube’ Centrifuge Camera channel www.youtube.com/@CentrifugeCamera
Research activity has also been in software development. The camera generates movie files containing millions of instantaneous images of the centrifuged sample. We spent a lot of time developing software algorithms that can translate these images into useful data. For example, we have been able to develop an algorithm that enables one to track the position of the “sedimentation front” over time. Fitting this front to a model of the mechanics of the sample, one can obtain mechanical characteristics of the sample. A version of the software we have developed has an intuitive graphical user interface, with “knobs” and “buttons” that allows a user without much training to modify certain parameters without having to edit the code directly.
We tested the device with industrial samples obtained from research collaborators or directly from industry. Industries interested in our device are industries working in food processing, for example emulsions, materials processing companies, biotech companies, and centrifuge manufacturers.
The commercial interest in purchasing a version of our device is substantial, and we already have potential clients. Thanks to ERC Poc funding, work has been done to develop a business plan for the device and carry out the first step for the application to a patent, in collaboration with a patent attorney of TU Delft. A patent application will be filed soon.
In summary, the main outcomes are a reliable, modular, commercialisable hardware; a preliminary version of the analysis software, with a graphical user interface; testing of the device in the lab with realistic industrial matrices; the generation of a business development plan; and the editing of the patent application document.
The main obstacle is currently protecting our innovation with intellectual property rights. Obtaining such rights will enable us to talk to have freedom to operate with commercial companies, and sell the first versions of our device or provide services.
In summary this project has enabled us to go from a very preliminary prototype at the basic research level (at technology readiness level 1 or 2) to the experimental proof of concept of a device tested with realistic, industrial samples (at technology readiness level of 3). The development of a business plan and the identification of industrial needs, core activities during the project, enables us to be now ready to apply for further research and commercialisation funding.