Tassos Mesogitis

ORCID: 0000-0003-4514-8570
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About
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Research Areas
  • Epoxy Resin Curing Processes
  • Manufacturing Process and Optimization
  • Mechanical Behavior of Composites
  • Additive Manufacturing and 3D Printing Technologies
  • Synthesis and properties of polymers
  • Injection Molding Process and Properties
  • Metal Forming Simulation Techniques
  • Textile materials and evaluations
  • Natural Fiber Reinforced Composites
  • Industrial Vision Systems and Defect Detection
  • Material Properties and Applications
  • Material Properties and Processing
  • High voltage insulation and dielectric phenomena
  • Polymer crystallization and properties
  • Advanced Sensor and Energy Harvesting Materials
  • Fiber-reinforced polymer composites
  • Advanced Multi-Objective Optimization Algorithms

National Composites Centre
2016-2020

Bristol and Bath Science Park
2020

University of Bristol
2017-2018

Cranfield University
2013-2015

Fibre path defects are detrimental to the structural integrity of composite components and need be minimised through process optimization. This requires understanding uncured pre-preg material, which is influenced by multiple parameters, sophisticated multi-scale modelling tools. Even though capabilities techniques have been improved over past decades, occurrence localised wrinkles remains challenging predict. One processes known influence formation fibre consolidation laminates manufactured...

10.1016/j.compositesa.2017.08.008 article EN cc-by Composites Part A Applied Science and Manufacturing 2017-08-05

A stochastic multi-objective cure optimisation methodology is developed in this work and applied to the case of thick epoxy/carbon fibre laminates. The takes into account uncertainty process parameters boundary conditions minimises mean values standard deviations time temperature overshoot. Kriging utilised construct a surrogate model substituting Finite Element (FE) simulation for computational efficiency reasons. coupled with Monte Carlo integrated framework based on Genetic Algorithms....

10.1016/j.compositesa.2018.06.015 article EN cc-by Composites Part A Applied Science and Manufacturing 2018-06-11

A stochastic cure simulation methodology is developed and implemented to investigate the influence of kinetics uncertainty due different initial resin state on process cure. The addresses heat transfer effects allows quantification in temperature overshoot during Differential Scanning Calorimetry was used characterise variability a commercial epoxy aerospace applications. It found that associated with variations degree cure, activation energy reaction order. model coupled conventional Monte...

10.1016/j.compscitech.2015.02.009 article EN cc-by Composites Science and Technology 2015-02-13

Thermochemical properties are needed to develop process models and define suitable cure cycles convert thermosetting polymers into rigid glassy materials. Uncertainty surrounding the suitability of thermal analysis techniques semi-empirical developed for conventional composite materials has been raised new class particle interleaf This paper describes kinetics, conductivity, heat capacity glass transition temperature measurements HexPly® M21 material. Thermal describing conventional,...

10.1177/0021998318818245 article EN Journal of Composite Materials 2018-12-13

A stochastic cure simulation approach is developed and implemented to investigate the influence of fibre misalignment on cure. Image analysis used characterize fiber in a carbon non‐crimp fabric. It found that variability tow orientation significant with standard deviation 1.2°. The autocorrelation structure modeled using Ornstein‐Uhlenbeck sheet problem addressed by coupling finite element model Monte Carlo scheme. Simulation an angle shaped fiber‐epoxy component shows can cause...

10.1002/pc.23856 article EN cc-by Polymer Composites 2015-11-20
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