Evidence map›Paper›PMID 30501102›Full record

ArticleBioengineering (Basel, Switzerland)2018

Predicting the Biodegradation of Magnesium Alloy Implants: Modeling, Parameter Identification, and Validation.

Amirhesam Amerinatanzi, Reza Mehrabi, Hamdy Ibrahim, Amir Dehghan, Narges Shayesteh Moghaddam, Mohammad Elahinia

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Engineering Bone-Implant Materials.Bioengineering (Basel, Switzerland) · 2019
    Article
  10. Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Amirhesam AmerinatanziDynamic and Smart Systems Laboratory, Mechanical Industrial and Manufacturing Engineering Department, The University of Toledo, Toledo, OH 43606, USA. amirhesam.amerinatanzi@utoledo.edu.
Reza MehrabiDynamic and Smart Systems Laboratory, Mechanical Industrial and Manufacturing Engineering Department, The University of Toledo, Toledo, OH 43606, USA. reza.mehrabinejad@gmail.com.
Hamdy IbrahimMechanical Engineering Department, The University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA. hamdy-ibrahim@utc.edu.ORCID 0000-0002-4198-7441
Amir DehghanSchool of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, Corvallis, OR 97331, USA. dehghana@oregonstate.edu.
Narges Shayesteh MoghaddamMechanical & Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA. narges.shayesteh@uta.edu.
Mohammad ElahiniaDynamic and Smart Systems Laboratory, Mechanical Industrial and Manufacturing Engineering Department, The University of Toledo, Toledo, OH 43606, USA. mohammad.elahinia@utoledo.edu.ORCID 0000-0003-3720-7067
University of Toledo · USOregon State University · USThe University of Texas at Arlington · USUniversity of Tennessee at Chattanooga · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnesium (Mg) and its alloys can degrade gradually up to complete dissolution in the physiological environment. This property makes these biomaterials appealing for different biomedical applications, such as bone implants. In order to qualify Mg and its alloys for bone implant applications, there is a need to precisely model their degradation (corrosion) behavior in the physiological environment. Therefore, the primary objective develop a model that can be used to predict the corrosion behavior of Mg-based alloys in vitro, while capturing the effect of pitting corrosion. To this end, a customized FORTRAN user material subroutine (or VUMAT) that is compatible with the finite element (FE) solver Abaqus/Explicit (Dassault Systèmes, Waltham, MA, USA) was developed. Using the developed subroutine, a continuum damage mechanism (CDM) FE model was developed to phenomenologically estimate the corrosion rate of a biocompatible Mg⁻Zn⁻Ca alloy. In addition, the mass loss immersion test was conducted to measure mass loss over time by submerging Mg⁻Zn⁻Ca coupons in a glass reactor filled with simulated body fluid (SBF) solution at pH 7.4 and 37 °C. Then, response surface methodology (RSM) was applied to calibrate the corrosion FE model parameters (i.e., Gamma (γ), Psi (ψ), Beta (β), and kinetic parameter (K

Indexed as

biodegradable alloyscorrosion modelfinite element modelingmagnesium alloy

Identifiers

PMID30501102
PMCPMC6316266
OpenAlexW2902775984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.