Influence of interfacial adhesion on the damage tolerance of Al6061/SiCp laminated composites

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@Article{HosseiniMonazzah:2017:CI,

• author = "Asal {Hosseini Monazzah} and Hesam Pouraliakbar and Mohammad Reza Jandaghi and Reza Bagheri and Seyed Morteza Seyed Reihani",
• title = "Influence of interfacial adhesion on the damage tolerance of Al6061/SiCp laminated composites",
• journal = "Ceramics International",
• volume = "43",
• number = "2",
• pages = "2632--2643",
• year = "2017",
• ISSN = "0272-8842",
• DOI = "doi:10.1016/j.ceramint.2016.11.074",
• URL = "http://www.sciencedirect.com/science/article/pii/S0272884216320831",
• abstract = "In this study, lamination as extrinsic mechanism was considered to enhance damage tolerance of three-layer Al6061-5percentvol. SiCp/Al1050/Al6061-5percentvol. SiCp composites. To fabricate laminates of dissimilar interfacial adhesion, different rolling strains were applied during hot roll-bonding. The discrepancy in interfacial strength of laminates was examined by shear test while toughness values were studied using three-point bending test. It was revealed that both interfacial adhesion and damage tolerance were influenced by rolling strain. Interfacial bonding played the major role in the energy absorption during fracture which was quantified as initiation, propagation and total toughness. The results declared that improving the interfacial adhesion elevated the energy consumed for emergence and growth of debonded area. Five different models based on genetic programming have been proposed in order to predict the toughness of composites. Also, corresponding mathematical correlations of introduced models were exhibited. To construct the models, experimental data were randomly divided and used as training and testing sets. The data used as inputs were comprised of five independent parameters such as {"}SiCp volume content{"}, {"}average SiCp volume in bulk laminates{"}, {"}specimen thickness{"}, {"}rolling strain{"} and experimented {"}shear strength{"}. The training and testing results were in good agreement and revealed strong capability for predicting the toughness of laminates.",
• keywords = "genetic algorithms, genetic programming, Aluminum matrix composite, Laminates, Toughness, Damage tolerance, Delamination, Modeling",

}

Genetic Programming entries for Asal Hosseini Monazzah Hesam Pouraliakbar Mohammad Reza Jandaghi Reza Bagheri Seyed Morteza Seyed Reihani

Citations