Electro-Polishing of Additive Manufactured Porous Titanium for Medical Implants
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Bibliographic record
Abstract
Advances in Additive Manufacturing (AM) allow for high resolution fabrication of complex three dimensional structures. This enables the construction of fully porous lattice materials with tailored micro-architecture to achieve variable graded properties. One promising application of this approach is the development of graded open cell lattices for orthopaedic bone implants [1]. The use of a graded lattice allows for the material properties of the structure, including stiffness, to match those of the local host bone. In addition, the morphological parameters (including porosity, pore size, and diffusivity) of the individual lattice unit cell can be optimized to achieve optimal bone ingrowth and fixation for long-term implant success. Because of its bio-inertness and high strength, TI6Al4V is an appealing monolithic material for constructing fully porous lattice orthopaedic devices [2]. However, from the process of Direct Metal Laser Sintering (DMLS) and Electron Beam Melting (EBM) processes, semi-melted beads appear to be attached to the individual struts of the lattice. The beads used here generally range from 10-45 microns for DMLS and from 45-106 microns for EBM. The strut diameter of the lattice typically ranges from 150-300 microns. Because the designed strut diameter and bead size are of similar length scale, the addition of semi-melted beads can lead to significant discrepancies between the designed and manufactured strut thickness. This is especially prevalent in struts with thin diameter,near the resolution limit of AM. This discrepancy may induce morphological mismatches that negatively impact the lattice performance. Electrochemical polishing provides an interesting approach to control the reduction of semi-melted beads. This helps to ensure that the manufactured part is identical to the designed structure, allowing for the optimal performance of the implant. Electrochemical polishing can also be used for the creation of micro and nano-roughness surface modifications on the individual struts of the lattice, an outcome that can increase in-vitro cell response and in-vivo bone response [3]. The addition of surface roughness modifications imparted by electrochemical polishing may serve to further improve the bone tissue response of fully porous lattice implants. In this electrochemical process, mass transport controlled dissolution results in surface smoothing. Multiple parts with complex geometry can concurrently be polished. Preliminary results show the potential to use pulse technology (with pulse width of 50µs – 500µs, and duty cycle < 50%) that eliminates surface asperities more effectively than direct current. Surface roughness for a titanium work-piece of around R a = 4 nm could be obtained with a 4 hours treatment [4]. In the current study, electro-polishing was performed on a fully porous Ti6Al4V manufactured with EBM by applying cyclic voltammetry. The Ti6Al4V work-piece was employed as working electrode, and then immersed in a solution of ethylene glycol and 0.9 molar sodium chloride. The anodic polarization was applied by sweeping the voltage from 15V to 0V at a scan rate of 10 mV/s, using an Ag/AgCl reference electrode. The original average diameter of the beads is 50 µm. The semi-melted beads can clearly be observed in figure 1.A. Figure 1.B. shows the work-piece after the electro-polish treatment (3 cycles) in the solution. The semi-sintered beads are greatly reduced and a smooth surface is achieved. These preliminary results are promising and warrant further investigation. [1] S. A. Khanoki, D. Pasini, Journal of the mechanical behavior of biomedical materials, vol. 22, pp. 65-83, 2013. [2] H. J. Rack, J. I. Qazi, Materials Science and Engineering: C, vol. 26, pp. 1269-1277, 9, 2006. [3] G. Zhao, O. Zinger, Z. Schwartz, M. Wieland, D. Landolt, B. D. Boyan, Clinical Oral Implants Research, vol. 17, pp. 258-264, 2006. [4] A. F. Teixeira, Master of Applied Science - Thesis, Concordia University, March 2011. Figure 1
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it