首页|'Empirical Optimization Of Concrete Recipes' in Patent Application Approval Process (USPTO 20240047020)
'Empirical Optimization Of Concrete Recipes' in Patent Application Approval Process (USPTO 20240047020)
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A patent application by the inventors Howell, Brian (Berkeley, CA, US); Jin, Shijian (Cambridge, MA, US); Nagatani, Ray Jr. Anthony (San Francisco, CA, US); Papania-Davis, Antonio Raymond (Oakland, CA, US); Spirakis, Charles Stephen (Mountain View, CA, US); Yan, Weishi (Oakland, CA, US), filed on August 5, 2022, was made available online on February 8, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background information supplied by the inventors: “Many industrial processes rely upon suspensions of particles in a fluid state, ranging from ink resins for 3D printing, recipe formulation for food engineering and processing, suspensions for powder injection molding, drilling fluids carrying cuttings in oil and gas and mining exploration, and casting concrete for construction. In such applications, accurate prediction of the rheological behaviors of the suspension can be used to optimize processes to transport/deliver the suspension (e.g., reduce required pressure to pump) or modify the behavior of the fluid suspension to improve its performance in use (e.g., increase carrying capacity for drilling fluids, reduce/increase workability of concrete). However, as the complexity of suspensions increases (e.g., the number of unique types of particles within the suspensions increase), it becomes more challenging to accurately predict their rheological properties due to the increase in the number of different interactions which can occur. Multiscale material like concrete (e.g., coarse aggregate suspension in a mortar matrix, which is a suspension of sand particles in cement paste, which is a suspension of cement molecules in water) contains many different types of particles from micro- to macro-scale.
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