Amotz Weinberg

Objective Evaluation of Textile Fabric Appearance Part 1: Basic Principles, Protrusion Detection, and Parameterization

In this paper we present a new approach to the problem of textile surface quality evaluation. The approach is based on the capture and analysis of the profile of protrusions. The specific methods of image processing for protrusion detection and parameterization have been elaborated. New algorithms for the grading of four types of fabric defect — pilling, fuzziness, snagging, and hairiness — have been suggested, realized, and tested. The testing results have demonstrated a high level of coincidence between the obtained grades of all types of defect with expert grades.

Microbeam WAXD Study of Orientated Crystalline Arrays in Carbon Fiber/CNT – Nylon 66 Extruded/drawn Composites

Composites of chopped carbon fibers (CCF) or carbon nanotubes (CNT) with nylon 66 were prepared by melt‐mixing followed by extrusion/drawing of filaments. The combined effect of composition and flow on morphology and crystalline orientation was studied by microbeam synchrotron x‐ray diffraction. The highest degree of orientation was observed in filaments of CNT‐nylon 66 at the highest draw ratio. Mechanical tensile testing showed that for 1 wt.% of CCF or CNT the modulus of the composite filaments was improved by 15% and 30%, respectively, compared with neat nylon 66. The results indicate that the alignment of CNT‐crystalline domains in the flow direction generate a strong reinforcing effect. In Commemorations of the Contribution of Professor Valery P. Privalko to Polymer Science.

Objective Evaluation of Textile Fabric Appearance. Part 2: SET Opti-grade Tester, Grading Algorithms, and Testing

This is the second paper in a series devoted to the problem of textile fabric quality evaluation. The statistical evidence, basic principles of objective evaluation, and different approaches for the grading procedure are described in Part 1. The second part of the paper contains implementation of the results for all types of test methods and testing results for the SET Opti-Grade device that were elaborated on the basis of this research. High level correspondence between the expert and the SET machine grades has shown the effectiveness of the conception that is based on an analysis of the fabric profile and probability neural networks for hologram/picture, pills, and fuzzy grading. Furthermore, it has shown that the threshold approach has good results for hairiness and snagging grading.