Xiaoguo Wang

Papers

Total Citations

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About

Xiaoguo Wang is a researcher focused on agricultural and food engineering, with particular expertise in the discrete element modeling (DEM) of granular materials. Their most significant contribution lies in the parameter calibration of particle models, essential for simulating the mechanical interactions between processing equipment and biological materials. Wang's highly cited work, "Parameter Calibration of Discrete Element Model of Wine Lees Particles" (2024), addresses a critical gap in brewing robotics by proposing a method based on the angle of repose test to accurately model wine lees—a challenging, sticky byproduct. This research directly supports the design of more efficient mechanical parts for brewing robots, bridging simulation and real-world application. With 6 citations in a short time, this paper has already attracted attention from peers working on DEM simulations in food processing. Wang’s work is notable for its practical engineering focus, combining experimental calibration with computational modeling to solve industry-specific problems. Their research is particularly valuable for students and engineers developing automation solutions for the food and beverage sector.