Practical implications - Metal matrix composites (MMC) are of great use in the aerospace, military and automotive industries due to their good mechanical strength/density and stiffness/density ratios. A typical
et montée sur and carried out by the manufacturer of the vehicle concerned, and le véhicule à l'origine. originally fitted on the vehicle. Matériaux – Définitions Materials – Definitions Alliage à base de X (par ex. alliage à base de Ni) X Based Alloy (e.g. Ni based alloy) X...
Automatic combinations of splits, specimens, and samples to view composites based on weight percentage splits or replicates. Export widgets or entire dashboards as PDF, images, or Microsoft Excel. AMICS automatically updates the calculation results after classification without the need to publish or ...
Over the past decade, extensive research has been carried out on the utilization of recycled concrete aggregates (RCA) and the effect of their properties on the physical and mechanical properties, durability and structural behaviour of new concrete. The variations in physical and chemical properties ...
Since, classification of reinforcement mechanism in CFRPs using AI is a novel task in composites field, a number of techniques were selected to choose an optimum descriptive model based on prediction metrics. 2. Materials, methods and workflow 2.1. Composite manufacturing and carbon fiber ...
Beside that, after classification, the characterization process (extraction of the tensor elements) becomes much easier when the investigated material model is predetarmined. Solutions from an analytical method based on the transmission matrix method (TMM) and numerical results from a full wave ...
The method required no sample preparation, and the classification was performed in the order of a few seconds. Grad-CAM was utilized to ensure the activation of the CNN model based on the characteristic peaks. The distribution of different disordered carbon materials in a polymer matrix composite ...
Deep learning-based methods Depending on the network model used, current deep learning-based HSI classification methods include CNN, graph convolution network (GCN)28–30, transformer model, etc. GCN network is super-pixel level inferring the information of other nodes through the information of ...
Fig. 6. The trend distribution composed of pores (a), pores and fractures (b), and fractures (c), and schematic diagram (d). 3.2. The types of the pore-fracture structure The classification of pore-fracture structure types is based on the types of pores and fractures, the composition of...
Basically, the value of the scale parameter depends on the dynamic range of spectral values and can be determined based on a series of training and learning processes. Image objects are shaped based on local variations of spectral values. Therefore, in contrast to the shape, spectral information...