Evaluation and Prediction of Self-healing Assessments for AA2014 Based Hybrid Smart Composite Structures: A Novel Fuzzy Logic Approach

An idea to heal the damaged surface through healing agents in metallic composite are at their developmental stage. Therefore, selection of design parameters for a new generation smart is more complex and difficult. In present study two case studies on self strucures included with different input evaluate properties. Taguchi based L-8 experiments were conducted analyze influencial responsible higher assessments (i.e. recovery crack width, depth flexural strength recovery). To self-healing structure, soft computing technique S/N ratio from ANOVA analysis obtained. The experimental results further considered constructing fuzzy logic predictive model. Linear regression models i.e. statistical tool generated judge accuracy predicted model various error analyses. Based Fuzzy model, show less values 6.33 4.94 % I II, respectively compared adapted all assessments. offers close resemblance observations even number runs. This concludes that provides powerful perform large research work related composites structures near future.