In modern mechanical engineering, Model-Based Systems Engineering (MBSE) has become widely adopted. One of its key concepts is the creation and testing of virtual models of the designed technical systems. Compared to traditional approaches, this method significantly reduces resources and development time for new machines or improvements to existing ones. However, the accuracy of modeling entirely depends on the precision of the input data used for simulation. This also applies to the process of feed material destruction, particularly corn kernels. To obtain reliable simulation results, it is necessary to create a model of a kernel that closely resembles the real one and assign it physical and mechanical parameters that most accurately correspond to the studied sample. The aim of this research is to create an adequate virtual model of a corn kernel in the Simcenter STAR-CCM+ environment by comparing the destruction force obtained virtually and in laboratory experiments. Based on measurements and a review of studies in the Simcenter STAR-CCM+ software, a discrete element model (DEM) was developed using the aggregation of 86 spheres, employing the Hertz-Mindlin contact model. A virtual full-factorial experiment was conducted, resulting in regression equations describing the dependence of the kernel destruction force on Poisson’s ratio (µp), Young’s modulus (Ep), and ultimate tensile and shear stress (Wp) under different loading directions. A laboratory test stand was developed and implemented, where experimental studies of the destruction force of corn kernels were conducted under conditions analogous to the virtual experiment. The comparison of results identified factor values at which the model matches the laboratory research findings: Young’s modulus Ep = 10 MPa, Poisson’s ratio µp = 0.48, and ultimate tensile and shear stress Wp = 2.4 MPa. The obtained results allow for refining the input parameters in corn kernel simulations, ensuring more accurate virtual studies of the destruction process under various interactions with working elements.

corn grain, modeling, compression, fracture force

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