In order to create 3D (three-dimensional)
Keywords syntactic foam · CT based reconstruction
IntroductionThe metallic foams have a special class which satisfies the definition of particle reinforced metal matrix composites also. These are the metal matrix syntactic foams. The metal matrix syntactic foams have numerous perspective applications as covers, hulls, castings, or in automotive and electromechanical industry sectors because of their high energy absorbing and damping capability. In these porous materials the porosity is ensured by incorporating ceramic hollow microspheres [1]. The microspheres are commercially available and they contain mainly various oxide ceramics [2,3].The most important properties of the metal matrix syntactic foams are the compressive strength and the absorbed energy [4][5][6][7][8][9][10].The quality and chemical composition of the microspheres influence many properties of the syntactic foams. And they have also strong influence during the production of the syntactic foams. The foams are usually produced by mixing technique and gravitational casting or by pressure infiltration [11][12][13].Because of the strong effect of the quality of the microspheres (diameter of ~ 0.1-3 mm) on the mechanical and other properties of the foams the investigation of the structure of the syntactic foams is very important. In order to create real 3D models from the syntactic foams the CT-based reconstruction methods can be applicable. CT-based reconstruction methods are used successfully in many different materials research fields as for example porous polymeric materials (foams) [14], open celled and closed-cell metallic foams [15][16]. Recently the X-ray computed microtomography has been applied on porous fuel cell materials [17] and soil samples [18]. The history, the production, the geometrical, mechanical, thermal properties the dynamical behaviour and the fatigue processes of hollow spheres were studied in details [19].Structural characterisation and morphology of metal foams were studied with models reconstructed from CT images [20]. In order to apply the CT-images for the reconstruction of the syntactic foams a new algorithm is shown in this work.