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May 15, 2026SPE PolymersOpen Access

Simplified Movement Model to Predict the Thickness Distribution of Products Made by Robomould®

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Authors

JVJarne VanherckMGMathijs GorisJPJohan Potargent

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Overview

Randomized trial evaluates movement model predicting thickness in polymers, suggesting faster set-ups and improved quality.

Key Points

  • The aim is to develop a simple model to predict thickness distribution in products from the Robomould system.
  • Proposed a computationally inexpensive movement model that estimates thickness distribution based on product geometry and movement parameters.
  • Used a volumetric mesh to simulate powder distribution without considering thermal and dynamic effects.
  • Validated the model with experimental data focusing on an 82 L axisymmetric liner.
  • Model shows strong predictive value for thickness estimation.
  • Reduced reliance on trial and error during process set-up, leading to significant time savings.
  • Experimental validation confirms the robustness of the model in predicting layer thickness.

Cite This Study

Vanherck et al. (2026) studied this question.

synapsesocial.com/papers/6a06b971e7dec685947ac24ehttps://doi.org/10.1002/pls2.70048
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Also Consider

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  1. 1Study of thickness distribution on a robotic rotational moulding system by experiment and simulation2025
  2. 2Investigation of failures in rotational moulding using historical production dataset and machine learning2025
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  4. 4Simulation of the Rotational Molding Process of Polyethylene Using the Smoothed Particle Hydrodynamics Method2026
  5. 5Modelling the local melt front velocity in injection moulding for optimised machine setting: development of a model for geometry-dependent injection moulding2026