Parametric optimization of density and dimensions in three-dimensional printing of Ti-6Al-4V powders on titanium plates using selective laser melting

Kuo, Chunliang; Su, Chihhao; Chiang, Anchun

doi:10.1007/s12541-017-0190-5

Cited by 16 publications

(8 citation statements)

References 26 publications

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“…Since the porous scaffold printed by SLM is solidified with melted titanium alloy powder in working space protected by argon, its processing parameters are precisely controlled by computer, the forming temperature of parts is consistent, and the growth law of grain is consistent, so there is little difference in the forming performance of each sample. 38 In many studies, 24,25,39 absolute stiffness such as compressive modulus, yield strength and compressive strength could well evaluate the mechanical properties of the scaffold. As shown in Figure 8, the compressive performance of porcine tibial cancellous bone (Table 1).…”

Section: Discussionmentioning

confidence: 99%

Influence of structural parameters of 3D‐printed triply periodic minimal surface gyroid porous scaffolds on compression performance, cell response, and bone regeneration

Wang,

Liao,

Liu

et al. 2023

J Biomed Mater Res

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In this study, multi‐scale triply periodic minimal surface (TPMS) porous scaffolds with uniform and radial gradient distribution on pore size were printed based on the selective laser melting technology, and the influences of porosity, pore size and radial pore size distribution on compression mechanical properties, cell behavior, and bone regeneration behavior were analyzed. The results showed that the compression performance of the uniform porous scaffolds with high porosity was similar to that of cancellous bone of pig tibia, and the gradient porous scaffolds have higher elastic modulus and compressive toughness. After 4 days of cell culture, cells were distributed on the surface of scaffolds mostly, and the number of adherent cells was higher on the small pore size porous scaffolds; After 7 days, the area and density of cell proliferation on the scaffolds were improved; After 14 days, the cells on the small pore size scaffolds tended to migrate to adjacent pores. Animal implantation experiments showed that collagen fiber osteoid was intermittent on scaffolds with high porosity and large pore size, which was not conducive to bone formation. The appropriate pore size and porosity of bone regeneration were 792 um and 83%, respectively, and the regenerative ability of gradient pore size was better than that of uniform pore size. Our study explains the rules of TPMS gyroid structure parameters on compression performance, cell response and bone regeneration, and provides a reference value for the design of bone repair scaffolds for clinical orthopedics.

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Section: Discussionmentioning

confidence: 99%

Influence of structural parameters of 3D‐printed triply periodic minimal surface gyroid porous scaffolds on compression performance, cell response, and bone regeneration

Wang,

Liao,

Liu

et al. 2023

J Biomed Mater Res

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“…Sun et al (2013) used a statistical design of experiment technique based on Taguchi method to optimize the density of Ti6Al4V samples manufactured by SLM at varying scanning speed, powder thickness, hatching space and scanning strategy, while keeping fixed the laser power. Kuo et al (2017), used the analysis of variance to investigate the impact of laser power, exposure duration and layer thickness on the material porosity and on the dimensional accuracy as well. The last 15 years have seen the widespread application of RSM to optimize processes and product designs (Myers et al, 2004).…”

Section: Prediction-optimization Strategies In Slmmentioning

confidence: 99%

Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy

et al. 2022

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It is well known that the processing parameters of selective laser melting (SLM) highly influence mechanical and physical properties of the manufactured parts. Also, the energy density is insufficient to detect the process window for producing full dense components. In fact, parts produced with the same energy density but different combinations of parameters may present different properties even under the microstructural viewpoint. In this context, the need to assess the influence of the process parameters and to select the best parameters set able to optimize the final properties of SLM parts has been capturing the attention of both academics and practitioners. In this paper different hybrid prediction-optimization approaches for maximizing the relative density of Ti6Al4V SLM manufactured parts are proposed. An extended design of experiments involving six process parameters has been configured for constructing two surrogate models based on response surface methodology (RSM) and artificial neural network (ANN), respectively. The optimization phase has been performed by means of evolutionary computations. To this end, three nature-inspired metaheuristic algorithms have been integrated with the prediction modelling structures. A series of experimental tests has been carried out to validate the results from the proposed hybrid optimization procedures. Also, a sensitivity analysis based on the results from the analysis of variance was executed to evaluate the influence of the processing parameter and their reciprocal interactions on the part porosity.

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“…Ti6Al4V or AlSi10Mg alloys, are melted without the aid of a binder, as in the case for indirect laser sintering [14][15][16][17][18]. Recently, researchers have shown an increasing interest in the potential of this process that enables to build in one step full dense metallic parts with complex geometries which are used as final parts or functional prototypes [4,19,20]. Indeed, by choosing the proper input conditions, components by SLM can achieve equivalent or very similar mechanical properties to those of parts produced by traditional manufacturing techniques [3,21].…”

Section: Introductionmentioning

confidence: 99%

Defect Probability Estimation for Hardness-Optimised Parts by Selective Laser Melting

Galetto

Genta

Maculotti

et al. 2020

Int. J. Precis. Eng. Manuf.

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The development of reliable additive manufacturing (AM) technologies to process metallic materials, e.g. selective laser melting (SLM), has allowed their adoption for manufacturing final components. To date, ensuring part quality and process control for low-volume AM productions is still critical because traditional statistical techniques are often not suitable. To this aim, extensive research has been carried out on the optimisation of material properties of SLM parts to prevent defects and guarantee part quality. Amongst all material properties, defects in surface hardness are of particular concern as they may result in an inadequate tribological and wear resistance behaviour. Despite this general interest, a major void still concerns the quantification of their extent in terms of probability of defects occurring during the process, although it is optimised. Considering these issues, this paper proposes a novel approach to quantify the probability of occurrence of defects in hardness-optimised parts by SLM. First, three process variables, i.e. laser power, scan speed and hatching distance, are studied considering their effect on hardness. Design of Experiments and Response Surface Methodology are exploited to achieve hardness optimisation by controlling process variables. Then, hardness defect probability is estimated by composing the uncertainty affecting both process variables and their relationship with the hardness. The overall procedure is applied to AlSi10Mg alloy, which is relevant for both aerospace and automotive applications. The approach this study proposes may be of assistance to inspection designers to effectively and efficiently set up quality inspections in early design phases of inspection planning.

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Parametric optimization of density and dimensions in three-dimensional printing of Ti-6Al-4V powders on titanium plates using selective laser melting

Cited by 16 publications

References 26 publications

Influence of structural parameters of 3D‐printed triply periodic minimal surface gyroid porous scaffolds on compression performance, cell response, and bone regeneration

Influence of structural parameters of 3D‐printed triply periodic minimal surface gyroid porous scaffolds on compression performance, cell response, and bone regeneration

Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy

Defect Probability Estimation for Hardness-Optimised Parts by Selective Laser Melting

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