A Knowledge-Based System for Nondestructive Testing of Polymeric Composite Components

Neural Network Based System for Nondestructive Testing of Composite Materials Using Low-Frequency Acoustic Methods

The aim of the research was: the scientific justification and development of non-destructive testing system of products made of composite materials using low-frequency acoustic methods. During the work the following problems have been pointed and solved: 1. Analysis of the statistical characteristics of information signals and forming a set of diagnostic parameters. 2. Justification of necessit...

Developing Raman Spectroscopy for the Nondestructive Testing of Composite Materials

The goal of this research is to examine the potential of Raman spectroscopy as a method of condition assessment for carbon fiber composite materials. Carbon fiber composites are used in high performance situations such as overwrapping of composite over-wrapped pressure vessels (COPVs) in aerospace applications and hydrogen and natural-gas transportation systems. The composites will play a large...

Nondestructive Testing System for Eggshells Based on DSP

In order to check and eliminate the cracked eggs quickly and exactly in the process of egg products, a nondestructive testing system for eggshells based on digital signal processor (DSP) was established. The system utilized a TMS320VC33 DSP as a hardware platform, and has many functions such as controlling knock-equipment, sampling and processing the acoustics signals, judging the cracked-shell...

Testing and Evaluation of Components for a Composite Bridge Deck

A knowledge-based system for selection of progressive die components

Purpose: The present paper describes a knowledge-based system (KBS) developed for selection of progressive die components to automate the design process of progressive dies in stamping industries. Design/methodology/approach: The production rule based KBS approach of Artificial Intelligence (AI) has been utilized for constructing the proposed system. The system has been structured into seven KB...