[HTML][HTML] Polymer composites for tribological applications

K Friedrich - Advanced Industrial and Engineering Polymer …, 2018 - Elsevier
Many different polymers and polymer composites are used for engineering applications in
which friction and wear are critical issues. This article briefs (a) the importance of polymer …

Clay nano-adsorbent: structures, applications and mechanism for water treatment

A Awasthi, P Jadhao, K Kumari - SN Applied Sciences, 2019 - Springer
Nanotechnology plays an important role in current environmental practices for remediation
of contaminants in environment. From last few years, nano-clay has found more attention …

The role of artificial neural networks in prediction of mechanical and tribological properties of composites—a comprehensive review

UMR Paturi, S Cheruku, NS Reddy - Archives of Computational Methods …, 2022 - Springer
The artificial neural network (ANN) approach motivated by the biological nervous system is
an inspiring mathematical tool that simulates many complicated engineering applications …

Effect of aspect ratio on dynamic fracture toughness of particulate polymer composite using artificial neural network

A Sharma, SA Kumar, V Kushvaha - Engineering Fracture Mechanics, 2020 - Elsevier
The present study discusses about the effect of the aspect ratio of the fillers on the fracture
toughness of the glass-filled epoxy composites under impact loading. Three different kinds …

Friction and wear behavior of nanosilica-filled epoxy resin composite coatings

Y Kang, X Chen, S Song, L Yu, P Zhang - Applied Surface Science, 2012 - Elsevier
Hydrophilic silica nanoparticles (abridged as nano-SiO2) surface-capped with epoxide were
dispersed in the solution of epoxy resin (abridged as EP) in tetrahydrofuran under magnetic …

Development of artificial intelligence based model for the prediction of Young's modulus of polymer/carbon-nanotubes composites

NX Ho, TT Le, MV Le - Mechanics of Advanced Materials and …, 2022 - Taylor & Francis
In this paper, an Artificial Intelligence (AI) model is constructed for the behavior prediction, ie
Young's modulus, of polymer/carbon-nanotube (CNTs) composites. The AI is proposed to …

Critical review of montmorillonite/polymer mixed-matrix filtration membranes: Possibilities and challenges

DS Dlamini, J Li, BB Mamba - Applied Clay Science, 2019 - Elsevier
This paper reviews the literature on clay/polymer (CP) based mixed-matrix membranes
(MMM) for water treatment. Clay minerals have been credited for ultrafiltration (UF) …

Influence of fillers on polymeric composite during conventional machining processes: a review

RK Thakur, KK Singh - Journal of the Brazilian Society of Mechanical …, 2021 - Springer
Nowadays, polymeric composites have emerged as a material highly in demand for
advanced structures in various sectors, such as automotive, aerospace, and marine …

Prediction of bending properties for 3D-printed carbon fibre/epoxy composites with several processing parameters using ANN and statistical methods

FM Monticeli, RM Neves, HL Ornaghi Jr… - Polymers, 2022 - mdpi.com
The effects of processing parameters on conventional molding techniques are well-known.
However, the fabrication of a carbon fibre (CF)/epoxy composite via additive manufacturing …

Influence of filler on erosion behavior of polymer composites: A comprehensive review

S Vigneshwaran, M Uthayakumar… - Journal of …, 2018 - journals.sagepub.com
In recent decade, polymer matrix composites were extensively used in various engineering
applications owing to their advanced properties over conventional materials and enhanced …