研究目的
To propose methods for acquiring an accurate and stable fibrogram from the transmission image using the random beard image method based on the derived Kubelka–Munk theory, addressing issues like the napping effect and random errors in fiber length measurement.
研究成果
The random beard image method, based on the derived Kubelka–Munk theory, provides accurate and stable fibrograms for wool fiber length measurement. It shows comparable accuracy and repeatability to the Almeter 100 standard, with advantages of being portable, low-cost, and fast. It sets a foundation for measuring fiber length distribution parameters and has potential applications in the spinning industry and fiber trade.
研究不足
The method may be affected by drafting waves in wool tops and mechanical errors in beard preparation. The optical properties in the short fiber region are altered by clamping, requiring empirical coefficients. Further validation is needed for other fiber types like cotton.
1：Experimental Design and Method Selection:
The study uses the derived Kubelka–Munk theory to calculate the optical area density of fiber assemblies from transmission images. It involves designing experiments to determine optical coefficients and validate the method against a standard instrument.
2：Sample Selection and Data Sources:
Twenty types of animal fiber tops (mohair, cashmere, Australian fine wools) with different lengths and fineness were used, measured using ISO standard methods (Almeter 100 and Almeter 02).
3：2).
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Equipment includes an own-built digital transmission image device with 1000 DPI resolution, a linear CCD, a fixed clamp, a comb with 9 broaches/cm, and the Almeter 100 instrument. Materials are wool fiber samples.
4：Experimental Procedures and Operational Workflow:
Prepare dual-beards by clamping and combing wool tops, acquire transmission images, process signals using the Kubelka–Munk equation, determine start lines via symmetry principle, and calculate weighted average fibrograms. Compare results with Almeter 100 measurements.
5：Data Analysis Methods:
Use Fourier filtering for noise reduction, Z-test for accuracy comparison, Bland–Altman plot for repeatability assessment, and statistical analysis of fibrogram points.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
