A Review of the Application of Computer Vision to the Inspection and Assessment of Textiles Apparent Properties

Due to its advantages of objectiveness, automation, accuracy and fastness in various applications, the technology of computer vision has become one of the studying hotspots in the area of the objective inspection and assessment of textiles apparent properties during the past two decades in the world. Both a brief review of its applications in the recent decade both at home and abroad to the automatic inspection and assessment of the various apparent properties of the textiles, such as yarn, woven fabrics and knitting fabrics, carpet fabrics, nonwoven fabrics and textile webs, etc., and a detailed introduction to the research work including the objective evaluation of fabric wrinkle grade, automatic fabric defects detection and assessment of fabric pilling grade, etc., that was conducted by our research section, i.e., Computer Vision’s Textiles Application Research Section, College of Textiles, Dong Hua University, have been provided. Experimental results have proved the feasibilities of the approaches used by us in the applications to the objective inspection and assessment of fabric apparent properties, and also indicated that the technology of computer vision is a power tool for the objective and automatic inspection and assessment of textiles apparent properties, and that it has a bright application future.

Thermal Responses of Woods Exposed to High Temperatures Considering Apparent Thermo-Physical Properties

It is well known that the use of woods as construction materials can embody carbon content of structural members,which can enhance the urban sustainability.However,due to the combustibility of wood,its current application is restricted.To broaden the application of wood,its thermal responses exposed to fire(high temperature)is investigated in this study.Firstly,the wood kinetic parameters are determined by coats-redfern method using thermal gravimetric(TGA)data.Secondly,the density and thermal conductivity are obtained from parallel and series models.Thirdly,the specific heat capacity formula is presented considering latent and decomposition heat,which can be directly determined by differential scanning calorimetry(DSC).Finally,the one-dimensional nonlinear heat transfer model with apparent thermo-physical properties is proposed.The four-sided heating experiment of Laminated Veneer Lumber(LVL)is carried out to investigate the temperature filed.The results show that the proposed model can predict the thermal responses of timber structures subjected to fire and high temperatures precisely.

Stochastic framework for modeling the linear apparent behavior of complex materials:Application to random porous materials with interphases

This paper is concerned with the modeling of randomness in multiscale analysis of heterogeneous materials. More specifically, a framework dedicated to the stochastic modeling of random properties is first introduced. A probabilistic model for matrix-valued second-order random fields with symmetry propertries, recently proposed in the literature, is further reviewed. Algorithms adapted to the Monte Carlo simulation of the proposed representation are also provided. The derivations and calibration procedure are finally exemplified through the modeling of the apparent properties associated with an elastic porous microstructure containing stochastic interphases.