X-ray Computed Tomography Procedures to Quantitatively Characterize the Morphological Features of Triply Periodic Minimal Surface Structures

Bibliographic Details
Parent link:Materials
Vol. 14, iss. 11.— 2021.— [3002, 14 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет Исследовательская школа химических и биомедицинских технологий Научно-исследовательский центр "Физическое материаловедение и композитные материалы"
Other Authors: Evsevleev S. Sergey, Mishurova T. A. Tatjyana Aleksandrovna, Khrapov D. Dmitriy, Paveljeva A. A. Aleksandra Andreevna, Maynel D. Ditmar, Surmenev R. A. Roman Anatolievich, Surmeneva M. A. Maria Alexandrovna, Koptyug A. V. Andrey Valentinovich, Bruno G. Giovanni
Summary:Title screen
Additively manufactured (AM) metallic sheet-based Triply Periodic Minimal Surface Structures (TPMSS) meet several requirements in both bio-medical and engineering fields: Tunable mechanical properties, low sensitivity to manufacturing defects, mechanical stability, and high energy absorption. However, they also present some challenges related to quality control, which can prevent their successful application. In fact, the optimization of the AM process is impossible without considering structural characteristics as manufacturing accuracy, internal defects, as well as surface topography and roughness. In this study, the quantitative non-destructive analysis of TPMSS manufactured from Ti-6Al-4V alloy by electron beam melting was performed by means of X-ray computed tomography (XCT). Several advanced image analysis workflows are presented to evaluate the effect of build orientation on wall thicknesses distribution, wall degradation, and surface roughness reduction due to the chemical etching of TPMSS. It is shown that the manufacturing accuracy differs for the structural elements printed parallel and orthogonal to the manufactured layers. Different strategies for chemical etching show different powder removal capabilities and both lead to the loss of material and hence the gradient of the wall thickness. This affects the mechanical performance under compression by reduction of the yield stress. The positive effect of the chemical etching is the reduction of the surface roughness, which can potentially improve the fatigue properties of the components. Finally, XCT was used to correlate the amount of retained powder with the pore size of the functionally graded TPMSS, which can further improve the manufacturing process.
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.3390/ma14113002
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665235

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200 1 |a X-ray Computed Tomography Procedures to Quantitatively Characterize the Morphological Features of Triply Periodic Minimal Surface Structures  |f S. Evsevleev, T. A. Mishurova, D. Khrapov [et al.] 
203 |a Text  |c electronic 
300 |a Title screen 
320 |a [References: 40 tit.] 
330 |a Additively manufactured (AM) metallic sheet-based Triply Periodic Minimal Surface Structures (TPMSS) meet several requirements in both bio-medical and engineering fields: Tunable mechanical properties, low sensitivity to manufacturing defects, mechanical stability, and high energy absorption. However, they also present some challenges related to quality control, which can prevent their successful application. In fact, the optimization of the AM process is impossible without considering structural characteristics as manufacturing accuracy, internal defects, as well as surface topography and roughness. In this study, the quantitative non-destructive analysis of TPMSS manufactured from Ti-6Al-4V alloy by electron beam melting was performed by means of X-ray computed tomography (XCT). Several advanced image analysis workflows are presented to evaluate the effect of build orientation on wall thicknesses distribution, wall degradation, and surface roughness reduction due to the chemical etching of TPMSS. It is shown that the manufacturing accuracy differs for the structural elements printed parallel and orthogonal to the manufactured layers. Different strategies for chemical etching show different powder removal capabilities and both lead to the loss of material and hence the gradient of the wall thickness. This affects the mechanical performance under compression by reduction of the yield stress. The positive effect of the chemical etching is the reduction of the surface roughness, which can potentially improve the fatigue properties of the components. Finally, XCT was used to correlate the amount of retained powder with the pore size of the functionally graded TPMSS, which can further improve the manufacturing process. 
461 |t Materials 
463 |t Vol. 14, iss. 11  |v [3002, 14 p.]  |d 2021 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a metamaterials 
610 1 |a functionally graded porous structure 
610 1 |a triply periodic minimal surface structures 
610 1 |a roughness analysis 
610 1 |a powder removal 
610 1 |a deep learning segmentation 
610 1 |a метаматериалы 
610 1 |a пористые структуры 
610 1 |a поверхности 
610 1 |a шероховатости 
610 1 |a порошки 
610 1 |a компьютерная томография 
610 1 |a морфологические особенности 
701 1 |a Evsevleev  |b S.  |g Sergey 
701 1 |a Mishurova  |b T. A.  |g Tatjyana Aleksandrovna 
701 1 |a Khrapov  |b D.  |c Specialist in the field of nuclear technologies  |c Research Engineer of Tomsk Polytechnic University  |f 1993-  |g Dmitriy  |3 (RuTPU)RU\TPU\pers\43119  |9 21619 
701 1 |a Paveljeva  |b A. A.  |g Aleksandra Andreevna 
701 1 |a Maynel  |b D.  |g Ditmar 
701 1 |a Surmenev  |b R. A.  |c physicist  |c Associate Professor of Tomsk Polytechnic University, Senior researcher, Candidate of physical and mathematical sciences  |f 1982-  |g Roman Anatolievich  |3 (RuTPU)RU\TPU\pers\31885  |9 15957 
701 1 |a Surmeneva  |b M. A.  |c specialist in the field of material science  |c engineer-researcher of Tomsk Polytechnic University, Associate Scientist  |f 1984-  |g Maria Alexandrovna  |3 (RuTPU)RU\TPU\pers\31894  |9 15966 
701 1 |a Koptyug  |b A. V.  |g Andrey Valentinovich 
701 1 |a Bruno  |b G.  |g Giovanni 
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