Finite Element Analysis for Mechanical Response of Magnesium Foams with Regular Structure Obtained by Powder Metallurgy Method

Reddy, T. Hanuma; Pal, Snehashis; Kumar, K. Chaitanya; Mohan, M.; Kokol, Vanja

doi:10.1016/j.proeng.2016.06.688

Cited by 16 publications

(13 citation statements)

References 15 publications

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“…Therefore, the present ANN model can be used to predict accurately the OCP values for the uncoated and coated substrates. 57.23e 3 11.57e -6 280.3e -6 876.0 6 hours 3.566 420.7e -9 19.72e 3 24.10e -6 318.5e -6 856.4 12 hours 3.660 522.9e -9 18.13e 3 18.43e -6 291.6e -6 868.2 24 hours 3.672 459.8e -9 17.01e 3 39.97e -6 303.2e -6 860.7 559.1e -6 860.7e -3 3 hours 1.007e 3 356.2e -6 160.7 4.611 ------66.03e -3 853.7e -3 6 hours 3.408 102.7e -6 1.199e 3 4.327 ------486.0e -6 807.6e -3 12 hours 3.021 99.36e -6 1.127e 3 4.051 ------529.8e -6 792.0e -3 24 hours 2.645 399.3e -9 1.3e 3 1.488 ------614.3e -6 834.6e -3…”

Section: Artificial Neural Network For Prediction Of Nyquist Plotsmentioning

confidence: 99%

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ANN prediction of corrosion behaviour of uncoated and biopolymers coated cp-Titanium substrates

et al. 2018

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The present study focuses on biopolymer surface modification of cp-Titanium with Chitosan, Gelatin and Sodium Alginate. The biopolymers were spin coated onto cp-Titanium substrate and further subjected to Electrochemical Impedance Spectroscopic (EIS) characterisation. Artificial Neural Network (ANN) was developed to predict the Open Cicuit Potential (OCP) values and Nyquist plot for bare and bioploymer coated cp-Titanium substrate. The experimental data obtained was utilised for ANN training. Two input paramters, i.e., substrate condition (coated or uncoated) and time period were considered to predict the OCP values. Back propogation Levenberg-Marquardt training algorithm was utilised in order to train ANN and to fit the model. For Nyquist plot, the network was trained to predict the imaginary impedance based on real impedance as a function of immersion periods using the Back Propagation Bayesian algorithm. The biopolymer coated cp-Titanium substrate shows the enhanced corrosion resistance compared to uncoated substrtaes. The ANN model exhibits excellent comparsion with the experimental results in both the cases indicating that the developed model is very accurate and efficiently predicts the OCP values and Nyquist plot.

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Section: Artificial Neural Network For Prediction Of Nyquist Plotsmentioning

confidence: 99%

“…Metallic materials continue to dominate the biomedical industry, especially for hard tissue replacement (orthopaedic, dental) and cardiac implants [1] , [2] , [3]. A broad range of metals are known to mankind, but among them only a few are suitable for using inside the human body.…”

Section: Introductionmentioning

confidence: 99%

ANN prediction of corrosion behaviour of uncoated and biopolymers coated cp-Titanium substrates

et al. 2018

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“…The porosity of the processed bulk material is usually considered as a disadvantage of the PM processing techniques. However, the porous biocompatible material can be incorporated well into the tissue and can degrade at a specific rate, which provides a tool for the tailoring properties of PM processed materials for biomedical applications [14,15]. The functional porosity of a PM processed magnesium-based implant would support the primary fixation and the degradation of the implant by enabling the ingrowth of bone cells (osteointegration) into the degrading implant.…”

Section: Introductionmentioning

confidence: 99%

“…Conversion coatings are widely studied as corrosion protection for magnesium and its alloys. Fluoride and calcium phosphate-based conversion coatings have a great potential of reducing the corrosion rate of biomedical magnesium implants [1][2][3][4][12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Powder Metallurgy Processed Pure Magnesium Materials for Biomedical Applications

Zapletal

Březina

Krystýnová

et al. 2017

Metals

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Magnesium with its mechanical properties and nontoxicity is predetermined as a material for biomedical applications; however, its high reactivity is a limiting factor for its usage. Powder metallurgy is one of the promising methods for the enhancement of material mechanical properties and, due to the introduced plastic deformation, can also have a positive influence on corrosion resistance. Pure magnesium samples were prepared via powder metallurgy. Compacting pressures from 100 MPa to 500 MPa were used for samples' preparation at room temperature and elevated temperatures. The microstructure of the obtained compacts was analyzed in terms of microscopy. The three-point bending test and microhardness testing were adopted to define the compacts' mechanical properties, discussing the results with respect to fractographic analysis. Electrochemical corrosion properties analyzed with electrochemical impedance spectroscopy carried out in HBSS (Hank's Balanced Salt Solution) and enriched HBSS were correlated with the metallographic analysis of the corrosion process. Cold compacted materials were very brittle with low strength (up to 50 MPa) and microhardness (up to 50 HV (load: 0.025 kg)) and degraded rapidly in both solutions. Hot pressed materials yielded much higher strength (up to 250 MPa) and microhardness (up to 65 HV (load: 0.025 kg)), and the electrochemical characteristics were significantly better when compared to the cold compacted samples. Temperatures of 300 • C and 400 • C and high compacting pressures from 300 MPa to 500 MPa had a positive influence on material bonding, mechanical and electrochemical properties. A compacting temperature of 500 • C had a detrimental effect on material compaction when using pressure above 200 MPa.

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“…In this sense, numerical models have the potential to provide a deeper insight into the underlying microstructural mechanisms of deformation and thus a deeper understanding of the material behaviour. Finite Element Method (FEM) is presented as a useful technique to generate the models of titanium foams in order to obtain mechanical properties [32].…”

Section: Introductionmentioning

confidence: 99%

Porous Titanium for Biomedical Applications: Evaluation of the Conventional Powder Metallurgy Frontier and Space-Holder Technique

et al. 2019

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Titanium and its alloys are reference materials in biomedical applications because of their desirable properties. However, one of the most important concerns in long-term prostheses is bone resorption as a result of the stress-shielding phenomena. Development of porous titanium for implants with a low Young’s modulus has accomplished increasing scientific and technological attention. The aim of this study is to evaluate the viability, industrial implementation and potential technology transfer of different powder-metallurgy techniques to obtain porous titanium with stiffness values similar to that exhibited by cortical bone. Porous samples of commercial pure titanium grade-4 were obtained by following both conventional powder metallurgy (PM) and space-holder technique. The conventional PM frontier (Loose-Sintering) was evaluated. Additionally, the technical feasibility of two different space holders (NH4HCO3 and NaCl) was investigated. The microstructural and mechanical properties were assessed. Furthermore, the mechanical properties of titanium porous structures with porosities of 40% were studied by Finite Element Method (FEM) and compared with the experimental results. Some important findings are: (i) the optimal parameters for processing routes used to obtain low Young’s modulus values, retaining suitable mechanical strength; (ii) better mechanical response was obtained by using NH4HCO3 as space holder; and (iii) Ti matrix hardening when the interconnected porosity was 36–45% of total porosity. Finally, the advantages and limitations of the PM techniques employed, towards an industrial implementation, were discussed.

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Finite Element Analysis for Mechanical Response of Magnesium Foams with Regular Structure Obtained by Powder Metallurgy Method

Cited by 16 publications

References 15 publications

ANN prediction of corrosion behaviour of uncoated and biopolymers coated cp-Titanium substrates

ANN prediction of corrosion behaviour of uncoated and biopolymers coated cp-Titanium substrates

Characterization of Powder Metallurgy Processed Pure Magnesium Materials for Biomedical Applications

Porous Titanium for Biomedical Applications: Evaluation of the Conventional Powder Metallurgy Frontier and Space-Holder Technique

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