Assessment of influence of extrusion method on selected properties of wood-polymer composites using Taguchi method of experiment planning

Michalska-Pożoga, I.; Węgrzyk, Sebastian; Rydzkowski, Tomasz

doi:10.14314/polimery.2017.686

Cited by 4 publications

(3 citation statements)

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Section: Methodsmentioning

confidence: 99%

“…Composite plates were obtained in the extrusion process using a worm-disk plasticizing system with the technology presented in previous publications [18,19]. The temperature of the hot zone was a constant parameter t = 160 • C. At the same time, the rotational speed of the screw (and the disc) n and the width of the disc chink W s were the variable factors (Table 2).…”

Section: Obtaining Composite Wpcsmentioning

confidence: 99%

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Analysis of Particles’ Size and Degree of Distribution of a Wooden Filler in Wood–Polymer Composites

Michalska-Pożoga

Szczepanek

2021

Materials

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In wood–polymer composites (WPCs), regardless of the origin of the filler and its dimensions, their significant role in changing the properties of the WPCs’ material was found. Given the above, it is of particular importance to determine the size of the wood filler particles after their production. In addition, it is also important to determine the degree of distribution of the filler in the polymer matrix. The methodology for determining particle size and distribution is complex, even when using image analysis computer systems. This article presents the application and implementation of the multi-stage procedure for determining the size of wood particles and the degree of their distribution in the WPCs by means of image analysis using a numerical calculation program. The procedure, co-authored by the researchers at the Koszalin University of Technology and School of Mechanical and Materials Engineering, is published in the Industrial Crops and Products 2016 Comparing the results obtained for the PP/Lignocel 3-4 and PP/Lignocel C120 composites produced under highly different conditions in the target zone, it was found that the degree of the component distribution in the polymer matrix was significantly influenced by the width of the target gap. In both cases, the best homogeneity of the material and a good distribution of the filler in the polymer matrix was achieved within the parameters that have a mild effect on the material and allow it to stay longer in the plasticizing system, i.e., Ws = 1.0–3.0 mm with simultaneous impact medium to high speed in the range n = 26–40 rpm.

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Section: Methodsmentioning

confidence: 99%

Section: Obtaining Composite Wpcsmentioning

confidence: 99%

Analysis of Particles’ Size and Degree of Distribution of a Wooden Filler in Wood–Polymer Composites

Michalska-Pożoga

Szczepanek

2021

Materials

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“…The Taguchi method [29,30] is based on the orthogonal array experiments, which provides much reduced variance for the study with an optimum setting of process control parameters. Thus, the integration of design of experiments (DOE) with parametric optimization of process to obtain desired results is achieved in the Taguchi method.…”

Section: Optimization Proceduresmentioning

confidence: 99%

A Strategy for Problem Solving of Filling Imbalance in Geometrically Balanced Injection Molds

Wilczyński¹,

Narowski²

2020

Polymers

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Simulation and experimental studies were performed on filling imbalance in geometrically balanced injection molds. An original strategy for problem solving was developed to optimize the imbalance phenomenon. The phenomenon was studied both by simulation and experimentation using several different runner systems at various thermo-rheological material parameters and process operating conditions. Three optimization procedures were applied, Response Surface Methodology (RSM), Taguchi method, and Artificial Neural Networks (ANN). Operating process parameters: the injection rate, melt temperature, and mold temperature, as well as the geometry of the runner system were optimized. The imbalance of mold filling as well as the process parameters: the injection pressure, injection time, and molding temperature were optimization criteria. It was concluded that all the optimization procedures improved filling imbalance. However, the Artificial Neural Networks approach seems to be the most efficient optimization procedure, and the Brain Construction Algorithm (BSM) is proposed for problem solving of the imbalance phenomenon.

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Multiple Criteria Optimization of Abrasive Water Jet Cutting Using Entropy-VIKOR Approach

Perec

Musiał

2021

Advances in Manufacturing Engineering and Materials II

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Assessment of influence of extrusion method on selected properties of wood-polymer composites using Taguchi method of experiment planning

Cited by 4 publications

References 0 publications

Analysis of Particles’ Size and Degree of Distribution of a Wooden Filler in Wood–Polymer Composites

Analysis of Particles’ Size and Degree of Distribution of a Wooden Filler in Wood–Polymer Composites

A Strategy for Problem Solving of Filling Imbalance in Geometrically Balanced Injection Molds

Multiple Criteria Optimization of Abrasive Water Jet Cutting Using Entropy-VIKOR Approach

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