Abstract: An apparatus for predicting performance of a wheel in a vehicle: includes a learning device that generates a latent space for a plurality of two-dimensional (2D) wheel images based on a convolutional autoencoder (CAE), extracts a predetermined number of the plurality of 2D wheel images from the latent space, and learns a dataset having the plurality of 2D wheel images and performance values corresponding to the plurality of 2D wheel images; and a controller that predicts performance for the plurality of 2D wheel images based on a performance prediction model obtained by the learning device.

Abstract: A carbon composite material which comprises Lyocell-based carbon fiber and a carbon matrix is provided. The carbon composite material has excellent physical properties, including low thermal conductivity, excellent interfacial adhesion and excellent strength, compared to carbon composite materials prepared using conventional polyacrylonitrile-based carbon fiber, pitch-based carbon fiber or the like. In addition, the carbon composite material is environmentally friendly and has low production costs compared to carbon composite materials comprising conventional rayon-based carbon fiber produced using a highly toxic carbon disulfide solvent.

Abstract: Disclosed is a method for manufacturing Lyocell based carbon fiber or Lyocell based carbon fabric, and more specifically a method for manufacturing Lyocell based carbon fiber or Lyocell based carbon fabric through the process comprising stabilization, carbonization and graphitization, and a pretreatment step before the stabilization of treating Lyocell fiber or Lyocell fabric by immersing the fiber or the fabric in a solution comprising silicon-based polymer and an aqueous solution comprising flame resistant salt.