Bilatu
21-tik 11-20 emaitza erakusten
Bactericidal Surfaces: An Emerging 21st Century Ultra-Precision Manufacturing and Materials Puzzle
(AIP Publishing, 2021)
Progress made by materials scientists in recent years has greatly helped the field of ultra-precision manufacturing. Ranging from healthcare to electronics components, phenomena such as twinning, dislocation nucleation, ...
Numerical-probabilistic assessment of tempered glass failure based on the generalised local model characterised by annealed plates
(Elsevier, 2022)
Large-scale experimental programmes become unavoidable to characterise the fracture behaviour of glass. Additionally, if non-uniform residual stresses are to be considered, the total effort required increases significantly. ...
Numerical study of advanced friction modelling for sheet metal forming: influence of the die local roughness
(Elsevier Ltd., 2022)
Numerical simulation of sheet metal forming processes has become indispensable in the last decades. Although the complexity of the frictional behaviour is identified as a key factor for the prediction accuracy, the industry ...
Numerical methodology based on fluid-structure interaction to predict the residual stress distribution in glass tempering considering non-uniform cooling
(Elsevier, 2022)
In this paper a novel numerical methodology for calculating non-uniform residual stress distributions during the glass tempering process is presented. Tempering techniques lead to non-uniform heat transfer rates causing ...
Challenges and issues in continuum modelling of tribology, wear, cutting and other processes involving high-strain rate plastic deformation of metals
(Elsevier Ltd., 2022)
Contribution of finite element method (FEM) as a modelling and simulation technique to represent complex tribological processes has improved our understanding about various biomaterials. This paper presents a review of the ...
Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
(Elsevier, 2023)
The main objective of the present paper is to demonstrate the feasibility of machine-learning-based surrogate models for predicting low-velocity impact behaviour considering void content and location generated during the ...
High-temperature tribological performance of functionally graded Stellite 6/WC metal matrix composite coatings manufactured by laser-directed energy deposition
(Springer, 2024)
Wear-driven tool failure is one of the main hurdles in the industry. This issue can be addressed through surface coating with ceramic-reinforced metal matrix composites. However, the maximum ceramic content is limited by ...
Machine learning model of acoustic signatures: Towards digitalised thermal spray manufacturing
(Elsevier, 2024)
Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The ...
Development of a novel method to characterize mean surface peak curvature as a signature of tribological performance of dental implant surfaces
(IOP Publishing, 2020)
The integrity of dental implant surfaces might be compromised during surgical insertion. Wear and topographical modifications can occur during implant insertion, which can potentially have clinical implications. Accordingly, ...