Evidence map›Paper›PMID 41739247›Full record

ArticleJournal of artificial organs : the official journal of the Japanese Society for Artificial Organs2026

Numerical optimization for selecting the optimal geometrical configuration of polymeric skin mesh.

Mehdi Khayami, Aisa Rassoli

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Article in Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Mehdi KhayamiDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
Aisa RassoliDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran. a.rassoli@kntu.ac.ir.ORCID http://orcid.org/0000-0002-4612-2607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burn injuries pose a critical healthcare challenge, particularly third-degree burns, which often result in extensive tissue damage and high mortality rates worldwide. Effective treatment typically involves skin grafting, with mesh grafts enabling coverage of larger wound areas using limited donor skin. Although various mesh designs have been developed, the optimal geometric configuration to minimize mechanical stress remains under investigation. This study evaluates the mechanical efficiency of three distinct mesh patterns applied to silicone-based skin models, aiming to reduce average stress and determine the optimal Young’s modulus. Finite element analysis was conducted using ABAQUS, and a genetic algorithm implemented in Python was employed to identify the best-performing mesh configuration. Among the tested geometries, a rectangular mesh measuring 3.975 mm × 1.157 mm (arranged in a 3-row, 13-column layout) produced the lowest average stress (0.045 MPa) and a corresponding Young’s modulus of 0.174 MPa. These findings provide a computational foundation for refining skin mesh designs, with potential applications in creating mechanically favorable conditions for skin graft expansion in severe burn management.

Indexed as

BurnsSkin TransplantationSurgical MeshAlgorithmsElastic ModulusFinite Element AnalysisGenetic AlgorithmsHumansStress, MechanicalAverage stressBurnsGenetic algorithmOptimizationSkin meshes

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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.