Experimental and numerical modelling of mechanical properties of 3D printed honeycomb structures

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@Article{PANDA:2018:Measurement,

• author = "Biranchi Panda and Marco Leite and Bibhuti Bhusan Biswal and Xiaodong Niu and Akhil Garg",
• title = "Experimental and numerical modelling of mechanical properties of {3D} printed honeycomb structures",
• journal = "Measurement",
• volume = "116",
• pages = "495--506",
• year = "2018",
• keywords = "genetic algorithms, genetic programming, 3D printing (3DP), Cellular structures, Computational intelligence (CI), Mechanical Properties",
• ISSN = "0263-2241",
• DOI = "doi:10.1016/j.measurement.2017.11.037",
• URL = "http://www.sciencedirect.com/science/article/pii/S0263224117307467",
• abstract = "In recent years, 3-D printing experts have laid emphasis on designing and printing the cellular structures, since the key advantages (high strength to weight ratio, thermal and acoustical insulation properties) offered by these structures makes them highly versatile to be used in aerospace and automotive industries. In the present work, an experimental study is firstly conducted to study the effects of the design parameters (wall thickness and cell size) on the mechanical properties i.e yield strength and modulus of elasticity (stiffness) of honeycomb cellular structures printed by fused deposition modelling (FDM) process. Further, three promising numerical modelling methods based on computational intelligence (CI) such as genetic programming (GP), automated neural network search (ANS) and response surface regression (RSR) were applied and their performances were compared while formulating models for the two mechanical properties. Statistical analysis concluded that the ANS model performed the best followed by GP and RSR models. The experimental findings were validated by performing the 2-D, 3-D surface analysis on formulated models based on ANS",
• keywords = "genetic algorithms, genetic programming, 3D printing (3DP), Cellular structures, Computational intelligence (CI), Mechanical Properties",

}

Genetic Programming entries for Biranchi Narayan Panda Marco Leite Bibhuti Bhusan Biswal Xiaodong Niu Akhil Garg

Citations