Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Effect of nanoclay on the printability of extrusion-based 3D printable mortar1citations
  • 2023Optimisation of mix proportion of 3D printable mortar based on rheological properties and material strength using factorial design of experiment5citations
  • 2022Investigation of fresh properties of 3D concrete printing containing nanoclay in forms of suspension and powdercitations
  • 2022Influence of nanoclay on the fresh and rheological behaviour of 3D printing mortar22citations
  • 2022Effect of nanoclay on extrudability, printability and mechanical performance of extrusion-based 3D printing mortarcitations

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Amato, Giuseppina
5 / 14 shared
Sonebi, Mohammed
5 / 62 shared
Perrot, Arnaud
5 / 29 shared
Das, Utpal Kumar
5 / 5 shared
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2023
2022

Co-Authors (by relevance)

  • Amato, Giuseppina
  • Sonebi, Mohammed
  • Perrot, Arnaud
  • Das, Utpal Kumar
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article

Optimisation of mix proportion of 3D printable mortar based on rheological properties and material strength using factorial design of experiment

  • Kaushik, Sandipan
  • Amato, Giuseppina
  • Sonebi, Mohammed
  • Perrot, Arnaud
  • Das, Utpal Kumar
Abstract

In the production of 3D printable mortar (3DPM), numerous efforts have been made globally to effectively utilise various cementitious materials, admixtures, and fibres. The determination of rheological and material strength properties is crucial for successful 3D concrete printing because the materials used in 3DPM must possess the unique characteristic of making mortar flowable while being strong enough to support the weight of subsequent layers in both fresh and hardened states. The complexity of the required characteristics makes it challenging to develop an optimised mix composition that satisfies both the rheological and material strength requirements, given the wide range of available admixtures, supplementary cementitious materials, and fibres. Fly ash, basalt fibre and superplasticiser when blended with cement can help to improve the overall performance of 3DPM. The objective of this research is to optimise the rheological properties and material strength of 3D printable mortars (3DPM) containing cement, fly ash, basalt fibre, and superplasticiser. This study aims to produce 3DPM with an optimised mix composition to meet the requirements of both rheological and material strength characteristics using the factorial design approach and desirability function. Different dosages of cement, fly ash, basalt fibre, and superplasticiser are chosen as the primary design parameters to develop statistical models for the responses of rheological and material strength properties at 7 and 28 days. The results expressed in terms of the measured properties are valid for mortars made with cement ranging from 550 to 650 kg/m3, fly ash from 5% to 20% (of cement), superplasticiser from 2 to 4 kg/m3, and basalt fibre from 1 to 3 kg/m3. The rheological properties are evaluated using slump flow, cone penetrometer, and cylindrical slump tests, while the mechanical strength is evaluated using a three-point bending test and compressive test. A full factorial design experiment (FoE) is used to determine the significant parameters effecting the measured properties. Prediction models are developed to express the measured properties in terms of the primary parameters. The influence of cement, fly ash, basalt fibre, and superplasticiser is analysed using polynomial regression to determine the main effects and interactions of these primary parameters on the measured properties. The results show that the regression models established by the factorial design approach are effective and can accurately predict the performance of 3DPM. Cement, fly ash, and superplasticiser dosages have significant effects on the rheological and mechanical properties of mortar, while basalt fibre is able to influence the static yield stress and flexural strength of 3DPM. The utilisation of regression models and isoresponse curves allows for the identification of significant trends and provides valuable insight into the behaviour of the material, while desirability function is useful to optimise overall performance of mix proportions to meet the desired performance objective at fresh and hardened states.

Topics
  • impedance spectroscopy
  • experiment
  • strength
  • cement
  • flexural strength
  • bending flexural test