Design of the system for prediction of fabric behaviour in garment manufacturing processes

The study of fabric behaviour during its transformation from a two‐dimensional (2D) product into a three‐dimensional (3D) article of clothing is presented in this paper. Actual fabric transformation into a 3D article of clothing occurs in sewing processes, where the fabric is exposed to different mechanical loads and behaves accordingly. Fabric behaviour responses as an outcome of the mechanical loads to which it has been exposed, as well as their correlation with the parameters of the analysed fabric mechanical properties are investigated from this point of view. The system was designed for fabric behaviour prediction in garment manufacturing processes, based on wide fabric behaviour study. The ORANGE software tool used incorporates a lot of machine learning methods. On the basis of the input data (the parameters of mechanical properties) and input knowledge (fabric behaviour responses), it offers the prediction of fabric behaviour in garment manufacturing processes for the fabric selected.