Materials research

Fibre orientation in injection-moulded thermoplastics

Experiment, numerical simulation and comparison with real material microstructure within doctoral and co-authored research.

TypeDoctoral and co-authored research
Research contextMTF STU · 2013–2017
SourcesPublications · DOI · MTF STU
Updated14 Sep 2026

The process also creates material structure

In short-fibre reinforced thermoplastics, reinforcement orientation is not uniform throughout the part. During mould filling it is influenced by material flow, processing conditions and melt rheology. The resulting microstructure can therefore differ in direction and degree of orientation from one location to another.

This relationship formed part of Lukáš Likavčan’s doctoral research, completed in 2017 with a dissertation on the influence of injection-moulding process parameters on properties of short-fibre reinforced thermoplastic mouldings.

CAE simulation can predict fibre orientation, but a contour plot alone does not show how closely the model represents the manufactured part. Engineering interpretation requires comparable information from the real microstructure.

A solver result is not automatically an engineering conclusion. The published research therefore compared numerical results with experimental fibre-orientation evaluation using materialographic and stereological methods.

Process conditionsPressure · temperature · time · velocity
Flow and rheologyMould filling and melt behaviour
Fibre orientationLocal direction and degree of orientation
Anisotropic structureDirectional composite microstructure
InterpretationRelationship between process, model and real part
Original Likavcan.cz explanatory diagram. It shows a general relationship, not the result of a specific experiment.

From process conditions to model verification

The publicly documented research line connects injection moulding, numerical prediction of fibre orientation, materialographic preparation of real samples and comparison of both result sets. The objective is not merely to produce a simulation, but to express model and physical observations in a form that can be compared.

In Ways of Comparation of the Fibre Orientation in Injection Moulding Parts, Moldex3D was used for injection-moulding simulation. The paper works with directional orientation results and components of a second-order orientation tensor.

Source: Ways of Comparation of the Fibre Orientation in Injection Moulding Parts (2014) ↗

The important principle is not the software brand itself: the model needs to provide a quantity that can be meaningfully compared with a physical sample.

The published work used materialographic sample preparation and stereological methods to estimate short-fibre orientation in a polymer matrix. One published example analysed an injection-moulded PA6 gear reinforced with glass fibres; sections from selected locations were evaluated by light microscopy.

Source: Comparison of Fibre Orientation Using Simulation Software and Materialography (2016) ↗

1 · Process

Injection moulding and processing conditions.

2 · Simulation

Numerical prediction of fibre orientation.

3 · Real sample

Materialographic preparation and observation.

4 · Comparison

Engineering interpretation of agreement and differences.

Simulation and real microstructure need a common language

The 2014 paper explicitly describes experimental verification of a numerical model using stereological estimation of orientation. The later Comparison of Fibre Orientation Using Simulation Software and Materialography reports approximate agreement between the degree of orientation in the investigated real samples and the simulation software.

Sources: 2014 DOI ↗ · 2016 full text ↗

Numerical branchProcess inputs → simulation model → orientation tensor / prediction
ComparisonComparable quantity · agreement / difference · model limits
Experimental branchReal sample → materialography → stereological orientation estimate
Two independent information branches meet only at comparison and engineering interpretation.

What the comparison tells us

Comparing experiment with simulation illustrates a broader engineering principle: a numerical model has value when its inputs, assumptions and relationship to the physical problem are understood. Evaluation should distinguish model inputs, computed output, physically observed structure, the comparison method and the uncertainty of each step.

The research line connects materials engineering, polymer processing, short-fibre reinforced thermoplastics, injection moulding, numerical simulation, materialography, stereological evaluation and comparison of models with experiments.

It is doctoral and co-authored research; the page does not attribute individual published results to one author unless a specific contribution is documented separately.

Where the limits are

The published results concern specific materials, samples, geometries and processing conditions and cannot automatically be generalised. Numerical simulation also does not replace experimental verification where a particular engineering decision requires it.

This page uses publicly available research only and contains no confidential industrial data.

Publications and sources

MTF STU records the dissertation topic and the successful defence of Lukáš Likavčan in August 2017. Supervisor: Prof. Maroš Martinkovič, PhD.

  • 2017

    Estimation of Fibre Orientation in Injection Moulding Plastics Parts

    Maroš Martinkovič, Lukáš Likavčan

    Materials Science Forum 891, 55–59

    DOI ↗
  • 2016

    Comparison of Fibre Orientation Using Simulation Software and Materialography

    Lukáš Likavčan, Maroš Martinkovič

    Acta Technica Corviniensis 9(1), 71–77

    Full text ↗
  • 2014

    Ways of Comparation of the Fibre Orientation in Injection Moulding Parts

    Lukáš Likavčan, Maroš Martinkovič, Jozef Bílik, Miroslav Košík

    Research Papers MTF STU 22, Special Number, 109–114

    DOI ↗
  • 2013

    Possibilities of Evaluation of the Fibre Orientation in Injection Moulding Parts

    Maroš Martinkovič, Lukáš Likavčan

    Technological Engineering 10(2), 26–28

    DOI ↗