Home / Research

Research Domains

Six interconnected lines of work — from fibre-level materials engineering to the decision systems and recycling loops that surround them. Click any card to expand it.

Soft body armour panels developed by the ProTech group, camouflage and navy variants
Soft body armour

Lightweight ballistic protection

Lightweight body armour systems using high-performance fibres and hybrid textile architectures to achieve effective ballistic protection with minimal back-face deformation.

Material architecture

  • UHMWPE unidirectional (UD) laminates
  • Woven p-aramid fabric structures
  • Integration of smart fluids for enhanced energy dissipation

System characteristics

  • Protection area: 3800 cm² (full torso coverage)
  • Total armour weight: 1.8 kg
  • Areal density: 4.1 kg·m⁻²

Performance highlights

430 m·s⁻¹Stops 9×19mm lead-core projectile at this impact velocity
< 25 mmMaximum back-face deformation
BIS Level 1Ballistic requirement compliance
Stab-resistant armour

Flexible protection against blade and spike threats

Flexible stab-resistant textile armour through synergistic use of high-performance fabrics, ceramic reinforcements, and functional fluids.

Material architecture

  • Woven p-aramid and UHMWPE high-performance fabrics
  • Boron carbide (B₄C) ceramic particles
  • Shear thickening fluid (STF) integration

Key innovations

  • Novel ceramic particle coating that preserves fabric flexibility
  • Strategic placement of ceramic particles at the strike face
  • STF at the rear layers to resist yarn mobility during penetration
  • Synergistic interaction between hard and adaptive components

Performance highlights

< 7 mmPenetration depth at 24 J impact energy
4.0 kg·m⁻²Areal density
NIJ 0115.00Level 1 stab-resistance standard met
Stab resistance test schematic: SEM image of ceramic-coated fabric, blade before and after stabbing a fabric panel reinforced with ceramic particles and shear thickening fluid
OT4, 1-4 fabric structure schematic showing binder (B1, B2) and stuffer (S1, S2, S3) yarns, binding step, and binding depth of a 3D woven composite preform

Focus areas

  • Structure–property relations of 3D woven fabric composites
  • Optimisation of stuffer-to-binder ratio and binding step
  • Development of metal oxide nano-structures on fabrics
  • Improvement of mechanical properties by adding multiwalled CNTs

Key takeaways

  • 3D woven fabric composites avoid the delamination failures common in laminated composites
  • Yarn waviness dominates properties when load is applied along the yarn axis
  • Resin distribution inside the structure plays a bigger role in out-of-plane mechanical loading

Alongside high-load-bearing composites, the group also develops green composite materials as alternatives to synthetic materials — using UHMWPE fibres for high performance, and flax and jute for green composites.

450 MPaTensile strength of UHMWPE–epoxy composite
1.05 g·cm⁻³Composite density
Jute + SPIGreen composite with promising mechanical properties

Focus areas

  • Valorization of post-consumer textile waste
  • Life cycle assessment (LCA) of circular textiles
  • Design of multi-echelon supply chains considering carbon tax policies
  • Analysis of barriers to circular textile supply chains
Recycled thermal liner and recycled denim jacket, made from post-consumer PET, on mannequins
Antibacterial & Moisture Management Polyester Fibre

Focus areas

  • Development of antibacterial polyester fibre using silver nanoparticles
  • Use of post-consumer PET bottles as the starting material
  • Improvement of moisture management through profiled fibre geometry
Flow diagram: post-consumer PET bottle recycled into flakes, chips, Ag-PET masterbatch, multifilament yarn, and knitted into an antibacterial T-shirt

Focus areas

  • Analytic Hierarchy Process (AHP), TOPSIS, and fuzzy variants for material and supplier selection
  • Sustainable and resilient supply chain modelling for textile and clothing industries
  • Industry 4.0 adoption frameworks for textile manufacturing
  • Development of new MCDM algorithms

Focus areas

  • Predictive modelling of textile materials using ANN, fuzzy logic, and decision trees
  • Optimization of input parameters using genetic algorithms and NSGA II
  • Development of new MCDM algorithms
  • Applications in yarn and fabric engineering
Artificial Neural Network and Random Forest model diagrams used for predictive modelling of textile materials