A comprehensive review on surface post-treatments for freeform surfaces of bio-implants

Hashmi, Abdul Wahab; Mali, Harlal Singh; Meena, Anoj; Saxena, Kuldeep K.; Ahmad, Shadab; Agrawal, Manoj Kumar; Sagbas, Binnur; Puerta, Ana Pilar Valerga; Khan, M. Ijaz

doi:10.1016/j.jmrt.2023.02.007

Cited by 48 publications

(8 citation statements)

References 263 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies and reviews have also focused on downstream methods used for surface finishing of FDM components (Hashmi et al, 2023a). To enable the optimization of product characteristics at the pre-processing stage, recent studies have analyzed numerical-analytical modeling and artificial intelligent approaches that can forecast whether the AM component/ product can meet desired mechanical and design criteria (Ahmad et al, 2023;Tayyab et al, 2023;Hashmi et al, 2023b).…”

Section: Introductionmentioning

confidence: 99%

Using extrusion-based 3D printing technology to investigate the impact of changing print conditions on tensile characteristics

Viswanath,

Hiremath,

Chiniwar

2024

RPJ

View full text Add to dashboard Cite

Purpose The purpose of this study, most recent advancements in threedimensional (3D) printing have focused on the fabrication of components. It is typical to use different print settings, such as raster angle, infill and orientation to improve the 3D component qualities while fabricating the sample using a 3D printer. However, the influence of these factors on the characteristics of the 3D parts has not been well explored. Owing to the effect of the different print parameters in fused deposition modeling (FDM) technology, it is necessary to evaluate the strength of the parts manufactured using 3D printing technology. Design/methodology/approach In this study, the effect of three print parameters − raster angle, build orientation and infill − on the tensile characteristics of 3D-printed components made of three distinct materials − acrylonitrile styrene acrylate (ASA), polycarbonate ABS (PC-ABS) and ULTEM-9085 − was investigated. A variety of test items were created using a commercially accessible 3D printer in various configurations, including raster angle (0°, 45°), (0°, 90°), (45°, −45°), (45°, 90°), infill density (solid, sparse, sparse double dense) and orientation (flat, on-edge). Findings The outcome shows that variations in tensile strength and force are brought on by the effects of various printing conditions. In all possible combinations of the print settings, ULTEM 9085 material has a higher tensile strength than ASA and PC-ABS materials. ULTEM 9085 material’s on-edge orientation, sparse infill, and raster angle of (0°, −45°) resulted in the greatest overall tensile strength of 73.72 MPa. The highest load-bearing strength of ULTEM material was attained with the same procedure, measuring at 2,932 N. The tensile strength of the materials is higher in the on-edge orientation than in the flat orientation. The tensile strength of all three materials is highest for solid infill with a flat orientation and a raster angle of (45°, −45°). All three materials show higher tensile strength with a raster angle of (45°, −45°) compared to other angles. The sparse double-dense material promotes stronger tensile properties than sparse infill. Thus, the strength of additive components is influenced by the combination of selected print parameters. As a result, these factors interact with one another to produce a high-quality product. Originality/value The outcomes of this study can serve as a reference point for researchers, manufacturers and users of 3D-printed polymer material (PC-ABS, ASA, ULTEM 9085) components seeking to optimize FDM printing parameters for tensile strength and/or identify materials suitable for intended tensile characteristics.

show abstract

Section: Introductionmentioning

confidence: 99%

Using extrusion-based 3D printing technology to investigate the impact of changing print conditions on tensile characteristics

Viswanath,

Hiremath,

Chiniwar

2024

RPJ

View full text Add to dashboard Cite

show abstract

“…DA is one of the quality indicators of the manufactured parts (Dey and Yodo, 2019), and it is a major area of research interest in parts printed by FFF machines. These machines are widely used in different fields such as building construction, automotive, aviation, medical, pharmaceutical, and bio-printing (Gibson et al, 2021;Srinivasan et al, 2021;Hashmi et al, 2023a).…”

Section: Introductionmentioning

confidence: 99%

Development of a Genetic Algorithm – Artificial Neural Network model to optimize the Dimensional Accuracy of parts printed by FFF

Hashemi Baghi,

Mansour

2024

RPJ

View full text Add to dashboard Cite

Purpose Fused Filament Fabrication (FFF) is one of the growing technologies in additive manufacturing, that can be used in a number of applications. In this method, process parameters can be customized and their simultaneous variation has conflicting impacts on various properties of printed parts such as dimensional accuracy (DA) and surface finish. These properties could be improved by optimizing the values of these parameters. Design/methodology/approach In this paper, four process parameters, namely, print speed, build orientation, raster width, and layer height which are referred to as “input variables” were investigated. The conflicting influence of their simultaneous variations on the DA of printed parts was investigated and predicated. To achieve this goal, a hybrid Genetic Algorithm – Artificial Neural Network (GA-ANN) model, was developed in C#.net, and three geometries, namely, U-shape, cube and cylinder were selected. To investigate the DA of printed parts, samples were printed with a central through hole. Design of Experiments (DoE), specifically the Rotational Central Composite Design method was adopted to establish the number of parts to be printed (30 for each selected geometry) and also the value of each input process parameter. The dimensions of printed parts were accurately measured by a shadowgraph and were used as an input data set for the training phase of the developed ANN to predict the behavior of process parameters. Then the predicted values were used as input to the Desirability Function tool which resulted in a mathematical model that optimizes the input process variables for selected geometries. The mean square error of 0.0528 was achieved, which is indicative of the accuracy of the developed model. Findings The results showed that print speed is the most dominant input variable compared to others, and by increasing its value, considerable variations resulted in DA. The inaccuracy increased, especially with parts of circular cross section. In addition, if there is no need to print parts in vertical position, the build orientation should be set at 0° to achieve the highest DA. Finally, optimized values of raster width and layer height improved the DA especially when the print speed was set at a high value. Originality/value By using ANN, it is possible to investigate the impact of simultaneous variations of FFF machines’ input process parameters on the DA of printed parts. By their optimization, parts of highly accurate dimensions could be printed. These findings will be of significant value to those industries that need to produce parts of high DA on FFF machines.

show abstract

“…Titanium alloy is an alloy composed of titanium and other elements, which has the advantages of a high strength-to-density ratio, high corrosion resistance, and excellent biocompatibility 1 , 2 . These excellent characteristics bring a bright application in modern industry, such as aircraft compressor discs and turbine blades, orthopedic implants, surgical instruments, and medical instruments 3 , 4 .…”

Section: Introductionmentioning

confidence: 99%

Improvement of roughness in ultrasonic assisted magnetorheological finishing of small titanium alloy nuts by orthogonal test method

Bi,

Ji,

Wang

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Titanium alloy with high corrosion resistance, high strength-to-density ratio, and excellent biocompatibility has a wide range of applications in the field of biomedical implants. Polishing experiments of titanium alloy with a small size and complex shapes were investigated using an ultrasonic assisted magnetorheological finishing (UMRF) device excited by a three-pole magnetic field generator. The models of the normal force and the shear force were first proposed based on the Preston equation to analyze the mechanism of material removal in the UMRF process. Subsequently, the single-factor experiments using titanium alloy nuts (M3) and the MR polishing fluid with silicon carbide abrasives were carried out. Furthermore, to improve the surface roughness and the change rate of surface roughness of nuts, orthogonal tests with a standard L9(34) orthogonal array were designed and performed based on the optimized process parameters obtained from the single-factor experiment. The results indicated the effect on surface roughness and change rate of surface roughness as applied current > roller speed > ultrasonic amplitude > spindle speed and applied current > roller speed > spindle speed > ultrasonic amplitude, respectively. Moreover, the surface roughness was improved from an initial 1.247 μm to a final 0.104 μm after the polishing for 80 min under these optimal process parameters.

show abstract

A comprehensive review on surface post-treatments for freeform surfaces of bio-implants

Cited by 48 publications

References 263 publications

Using extrusion-based 3D printing technology to investigate the impact of changing print conditions on tensile characteristics

Using extrusion-based 3D printing technology to investigate the impact of changing print conditions on tensile characteristics

Development of a Genetic Algorithm – Artificial Neural Network model to optimize the Dimensional Accuracy of parts printed by FFF

Improvement of roughness in ultrasonic assisted magnetorheological finishing of small titanium alloy nuts by orthogonal test method

Contact Info

Product

Resources

About