Publication Type : Journal Article
Publisher : Composites Part B: Engineering, Elsevier Ltd
Source : Composites Part B: Engineering, Elsevier Ltd, Volume 159, p.224-230 (2019)
Keywords : 3D printers, Acrylonitrile butadiene styrene, Analysis of variance (ANOVA), Capacitance, capacitive sensors, Carbon black, Carbon nanotubes and carbon blacks, Conductive carbon blacks, Conductive materials, Deposition, Fused deposition modeling, Graphene, Layered manufacturing, Mechanical and thermal properties, Multi-functional materials, Regression analysis, Styrene, Three-dimensional (3D) printing, Two phase flow, Void fraction, Void fraction measurement, Yarn
Campus : Coimbatore
School : School of Engineering
Department : Mechanical Engineering
Year : 2019
Abstract : The application range of fused deposition modeling (FDM) process has been increased by the introduction of multifunctional materials. These materials exhibit enhanced mechanical and thermal properties. In addition to that, some materials like graphene, carbon nanotubes and carbon black have the conductive properties and can be used in electronic applications. In this research work acrylonitrile butadiene styrene (ABS) based carbon black (CB) filament is used for three dimensional (3D) printing the low cost concave capacitive sensor and it is used to measure the void fraction of the two-phase flow. The capacitance values for different void fractions are measured using 3D printed sensor and compared with the copper sensor. Also, the effect of parameters such as thickness and width of sensors on capacitance values are studied, and a prediction model using regression analysis is developed and validated to find the void fraction value. Analysis of variance (ANOVA) is done to find the significant factors affecting the capacitance values obtained for different void fraction values. © 2018 Elsevier Ltd
Cite this Research Publication : J. N. and Senthil, P., “Application of 3D printed ABS based conductive carbon black composite sensor in void fraction measurement”, Composites Part B: Engineering, vol. 159, pp. 224-230, 2019.