2 results about "Mean diameter" patented technology

To evaluate a degree of progress of alopecia more objectively and accurately than conventional techniques.SOLUTION: A method for evaluating a degree of progress of alopecia includes a step S3 for acquiring an image including a measuring region of the head, an indicator calculating step S5 for calculating at least three indicators of the following indicators A to F related to hairs in the measuring region; indicator A being an average diameter of hairs having first to m-th diameters from the top, indicator B being a ratio of the number of terminal hairs having a diameter equal to or larger than a first predetermined value to the number of all hairs in the measuring region, indicator C being a ratio of the number of vellus hairs having a diameter equal to or less than a second predetermined value to the number of all hairs in the measurement region, indicator D being a ratio of the number of follicular units having one hair to the number of all follicular units in the measurement area, indicator E being a ratio of the number of follicular units having n hairs to the number of all follicular units in the measurement area; and indicator F being a ratio of the number of follicular units to the number of follicular units in the measurement region, and a progress degree evaluation step S6 for evaluating a degree of progress based on the at least three indicators.SELECTED DRAWING: Figure 2

This invention relates to the fields of computational mechanics and computer-aided engineering, specifically a mathematical model capable of predicting the forming shape of spherical bearings. The model takes the blank's geometric dimensions, mold parameters, and material elastic modulus as input. Based on the precise geometric relationships of the compression process, it establishes a system of equations, deriving the core relationship between the compression amount and the theoretical mean diameter, and solving for the theoretical shape without considering springback. By introducing the theory of compression-bending springback, it establishes springback geometric constraints and expressions for reverse stress. Based on the static equilibrium conditions under pure bending, it derives the explicit relationship between the radius after springback and the radius before springback, elastically correcting the theoretical shape to obtain a predicted shape closer to the actual forming result. The model's output can be compared and verified with finite element simulations and actual experimental data, exhibiting high prediction accuracy in the stable deformation stage with large compression amounts. This invention provides effective guidance for process parameter design and optimization, reducing the number of experiments and development cycles.