Design, analysis and fabrication of polyamide/ hydroxyapatite porous structured scaffold using selective laser sintering method for bio-medical applications

Kumaresan, T.; Gandhinathan, R.; Ramu, M.; Ananthasubramanian, M.; Pradheepa, K. Banu

doi:10.1007/s12206-016-1049-x

Cited by 48 publications

(15 citation statements)

References 25 publications

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“…Such a high level of process flexibility enable it can directly fabricate complex internal structures and customized shapes. Up to now, AM has been applied to prepare bone scaffolds from various materials, including metals [12][13][14], polymers [15][16][17] and ceramics [18][19][20], even their composites [21][22][23]. Among them, metal bone scaffolds are most promising for load-bearing bone repair [24].…”

Section: Introductionmentioning

confidence: 99%

Selective laser melted Fe-Mn bone scaffold: microstructure, corrosion behavior and cell response

Shuai

Yang

et al. 2020

Mater. Res. Express

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Iron metal possesses good biocompatibility and excellent mechanical strength, though it degrades too slowly. In this work, selective laser melting (SLM) was applied to fabricate iron-manganese (Fe-Mn) biodegradable scaffold. Results shown Fe-Mn scaffold exhibited a uniform pore structure with a porosity of 66.72±2.3%, which highly matched with as-designed model. Phase analysis revealed Fe-Mn scaffold mainly contained α-Fe, martensitic and austenitic phases. Due to the potential difference among these different phases, galvanic corrosion occurred in Fe matrix. In addition, a small amount of Mn distributed at grain boundaries also contributed to the formation of galvanic corrosion. Thus, the corrosion rate increased from 0.09±0.02 mm/year to 0.23±0.05 mm/year. The scaffold exhibited suitable mechanical properties with a yield strength of 137±8.4 MPa, an ultimate strength of 221.7±10.9 MPa. Moreover, cell assays demonstrated its good cytocompatibility. Taking these positive results into consideration, SLM processed Fe-Mn scaffold was a promising material for bone repair application.

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Section: Introductionmentioning

confidence: 99%

Selective laser melted Fe-Mn bone scaffold: microstructure, corrosion behavior and cell response

Shuai

Yang

et al. 2020

Mater. Res. Express

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“…The radial structural gradient can be achieved, for example by arranging struts of different thickness/diameter. Computer modeling of bone scaffolds based on FEA has been conducted in previous studies to evaluate the effect of different geometrical design (design variables) mostly on mechanical properties (objective functions) including compressive strength, stiffness, and effective bulk or elastic modulus [55][56][57][58][59][60][61][62][63][64][65][66][67]. From the biological point of view, appropriate transport of the nutrient and oxygen into the scaffold structure, and cell seeding are important in bone healing process.…”

Section: Internal Structurementioning

confidence: 99%

Challenges on optimization of 3D-printed bone scaffolds

Bahraminasab

2020

BioMed Eng OnLine

145

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Background Bones in human body are prone to damage due to different causes such as fractures, diseases, and infections. Nevertheless, they have a remarkable capacity to repair and heal themselves after trauma and illness. Large defects, however, are never completely reinstated because their sizes are beyond the limit up to which the bones can repair [1]. In these conditions, therefore, a medical remedy is required to stabilize, align and support the damaged bone region to restore the lost function. Bone autografts are considered the gold standard treatment. However, they have a number of shortcomings including the limited sources and donor site morbidity. Allografts also have the risk of immune rejection and disease transmission [2, 3]. Therefore, the research has headed for other solutions via tissue engineering. Bone tissue engineering provides three-dimensional (3D)

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“…The current state-of-the-art [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] describes the importance of part orientation, powder morphology, and machine process parameters as a means towards the control and management of variation in polymer powder bed fusion system. Among the most investigated additive manufacturing (AM) machine process parameters are laser power, scan speed, hatch distance, scan strategy, beam speed, melting temperature, and powder bed temperature [2][3][4][5][6][7]. There is a number of studies [20][21][22] which report that laser power, scan speed, hatch distance, and layer thickness can be used to define the line energy and how their variation may influence mechanical properties of the part.…”

Section: Introductionmentioning

confidence: 99%

Application of Machine Learning Techniques to Predict the Mechanical Properties of Polyamide 2200 (PA12) in Additive Manufacturing

Baturynska

2019

Applied Sciences

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Additive manufacturing (AM) is an attractive technology for the manufacturing industry due to flexibility in its design and functionality, but inconsistency in quality is one of the major limitations preventing utilizing this technology for the production of end-use parts. The prediction of mechanical properties can be one of the possible ways to improve the repeatability of results. The part placement, part orientation, and STL model properties (number of mesh triangles, surface, and volume) are used to predict tensile modulus, nominal stress, and elongation at break for polyamide 2200 (also known as PA12). An EOS P395 polymer powder bed fusion system was used to fabricate 217 specimens in two identical builds (434 specimens in total). Prediction is performed for XYZ, XZY, ZYX, and Angle orientations separately, and all orientations together. The different non-linear models based on machine learning methods have higher prediction accuracy compared with linear regression models. Linear regression models only have prediction accuracy higher than 80% for Tensile Modulus and Elongation at break in Angle orientation. Since orientation-based modeling has low prediction accuracy due to a small number of data points and lack of information about the material properties, these models need to be improved in the future based on additional experimental work.

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Design, analysis and fabrication of polyamide/ hydroxyapatite porous structured scaffold using selective laser sintering method for bio-medical applications

Cited by 48 publications

References 25 publications

Selective laser melted Fe-Mn bone scaffold: microstructure, corrosion behavior and cell response

Selective laser melted Fe-Mn bone scaffold: microstructure, corrosion behavior and cell response

Challenges on optimization of 3D-printed bone scaffolds

Application of Machine Learning Techniques to Predict the Mechanical Properties of Polyamide 2200 (PA12) in Additive Manufacturing

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