Research On Fabric Drape Performance And Prediction System

Fabric drape is a deformation phenomenon that the fabric sags due to its weight and it is an important factor which determines visual beauty of the fabric. With the clothing of good drape performance, it is able to form a smooth surface modeling, and it can fit properly with the human body, and it gives visual comfort. Therefore, the fabric drape performance is one of the main factors, which is related to fashion design and marketing, one of the main factors. Today, as people constant run after beautiful appearance of clothing, as well as the emergence of a variety of new fabrics and ultra-fine fibers, researching the fabric drape performance has become increasingly important.The paper combines the expertise of clothing textiles and design ideas of software engineering, realizes prediction of fabric drape performance. First, researching on the fabric weave construction parameters and the fabric drape performance parameters, and then introducing neural network and its application of the fabric drape performance prediction. Then a detailed analysis of the BP neural network model structure and BP Algorithm. The intelligent neuron is introduced, which improves the BP neural network. Next, according to data features of the fabric weave construction parameters and the fabric drape performance parameters, as well as the comparison of different algorithms, finalized a more reasonable prediction algorithm--Levenberg-Marquardt algorithm, established prediction model which could more accurately predict the fabric drape performance.The general framework of the final from the system analysis and design and back-office databases, further details to clarify the design process and the implementation processes of system. According to requirement of the system, based on the national standard which is related to the textile industry and referencing the ID rules of the library call number and combines the management and inquiry of database to research the sample code of fabric. And design the standard codes to meet the system requirements. Finally, Established the fabric drape performance prediction system. The system achieves inquiry function of fiber; yarn, fabric-related properties and fabric drape performance indicators, as well as prediction function from the known parameters of the fabric weave construction to drape performance indicators.