Update papers.bib

_bibliography/papers.bib

@@ -97,7 +97,6 @@ @article{tacDatadrivenModelingMechanical2022
 }
 
 
-
 @article{lengPredictingMechanicalProperties2021,
   title = {Predicting the Mechanical Properties of Biopolymer Gels Using Neural Networks Trained on Discrete Fiber Network Data},
   author = {Leng, Yue and Tac, Vahidullah and Calve, Sarah and Tepole, Adrian B.},
@@ -116,7 +115,6 @@ @article{lengPredictingMechanicalProperties2021
 }
 
 
-
 @article{COSTAS2020103966,
 title = {Testing and simulation of additively manufactured AlSi10Mg components under quasi-static loading},
 journal = {European Journal of Mechanics - A/Solids},
@@ -125,12 +123,12 @@ @article{COSTAS2020103966
 year = {2020},
 issn = {0997-7538},
 doi = {https://doi.org/10.1016/j.euromechsol.2020.103966},
+langid = {english},
 url = {https://www.sciencedirect.com/science/article/pii/S0997753819306758},
 author = {Miguel Costas and David Morin and Mario {de Lucio} and Magnus Langseth},
 keywords = {Additive manufacturing, AlSi10Mg, 3D-printed aluminium, Lateral crushing, Finite elements},
 abstract = {An experimental and numerical study on the quasi-static loading of AlSi10Mg square boxes produced by selective laser melting (SLM) was carried out. The goal was to evaluate the applicability of common finite element modelling techniques to 3D-printed parts at material and component scales, under large deformations and fracture. Uniaxial tensile specimens were extracted and tested at different orientations, and a hypo-elastic–plastic model with Voce hardening and Cockcroft–Latham’s fracture criterion was calibrated against the experimental results. The boxes were crushed laterally until failure using a spherical actuator. The considered material and finite element models were proved well suited for the prediction of the structural response of the additively manufactured components in the studied scenario.},
 bibtex_show={true},
-preview={costas.png},
 }