scholarly journals Using taguchi approach for investigating mechanical properties of recycled carbon fibre reinforced thermoplastics for injection moulding applications

2021 ◽  
Vol 13 (2) ◽  
pp. 149-154
Author(s):  
Syairah Zainudin ◽  
◽  
Norshah Aizat Shuaib ◽  
Nur’ain Wahidah Ya Omar ◽  
Azwan Iskandar Azmi ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Carbon Fibre ◽  
Injection Moulding ◽  
Orthogonal Design ◽  
High Volume ◽  
Processing Parameters ◽  
Moulding Process ◽  
Injection Moulding Process ◽  
Reinforced Thermoplastics ◽  
Taguchi Orthogonal Design

Demand for carbon fibre reinforced plastic (CFRP) increases due to its popular demand in sectors such as automotive and aerospace. This leads to high volume of manufacturing and end of life CFRP waste. The challenge is to recycle the heterogenous waste and utilise the recycled carbon fibre (rCF) in potential applications, including the injection moulding process. However, the effect of processing parameters such as type of new thermoplastics, filler weight loading and particle size on product mechanical properties is not well understood. This study carried out experimental trials based on L4 Taguchi orthogonal design. It is found that the mechanical and physical properties significantly depend on the selected parameters. Optimisation of the parameters should depend on final application of the product. This study highlights potential use of rCF in reinforcing pure thermoplastics, as well as an alternative material to virgin carbon fibre (CF).

scholarly journals Optimisation of Mould Design for Injection Moulding – Numerical Approach

2021 ◽  
Vol 15 (2) ◽  
pp. 258-266
Author(s):  
Damir Godec ◽  
Vladimir Brnadić ◽  
Tomislav Breški
Keyword(s):  
Computer Simulation ◽  
Injection Moulding ◽  
Numerical Approach ◽  
Processing Parameters ◽  
Simulation Software ◽  
Moulding Process ◽  
Part Geometry ◽  
Injection Moulding Process ◽  
Mould Cavity ◽  
Mould Design

Computer simulation of injection moulding process is a powerful tool for optimisation of moulded part geometry, mould design and processing parameters. One of the most frequent faults of the injection moulded parts is their warpage, which is a result of uneven cooling conditions in the mould cavity as well as after part ejection from the mould and cooling down to the environmental temperature. With computer simulation of the injection moulding process it is possible to predict potential areas of moulded part warpage and to apply the remedies to compensate/minimize the value of the moulded part warpage. The paper presents application of simulation software Moldex 3D in the process of optimising mould design for injection moulding of thermoplastic casing.

scholarly journals Problems and Constraints Involved in the Injection Moulding Process of Biocomposites: A Review

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Mohd Khairul Fadzly Md Radzi ◽  
Norhamidi Muhamad ◽  
Abu Bakar Sulong ◽  
Nabilah Afiqah Mohd Radzuan ◽  
Mohd Ramdhan Mohd Khalid ◽  
...  
Keyword(s):  
Injection Moulding ◽  
Early Stage ◽  
Processing Parameters ◽  
Moulding Process ◽  
Injection Moulding Process ◽  
Mixing Method ◽  
Manufacturing Applications ◽  
Feedstock Preparation ◽  
Biocomposite Material

Biocomposite materials have revolutionized the engineering field, predominantly in manufacturing applications, where these materials were widely used as an alternative to the metal-based structural body or component. Since conventional materials have caused various pollution problems to the ecosystem, innovative efforts have been taken to develop the based product on natural materials composites but presently are not fully explored yet. Most issues raised are due to the lack of expertise in addressing some of the problems and constraints related to preparing feedstock materials involved in the injection moulding technique. The injectability process of the biocomposite material significantly depends on the early stage of feedstock preparation. The preparation steps should be considering the detailed characterization of the composite material, the effectiveness of the mixing method, the identification of the feedstock's flowability properties, and the appropriate processing parameters used. This review manuscript has a significant contribution to researchers interested in furthering the application of biocomposite-based materials, particularly in plastics injection moulding technology for manufacturing and processing engineering.

The Construction and Analysis of a Prediction Model for Combining the Taguchi Method and General Regression Neural Network for Injection Moulding

2005 ◽  
Vol 13 (8) ◽  
pp. 823-829
Author(s):  
Chung-Feng Jeffrey Kuo ◽  
Yung-Chang Li ◽  
Yi-Shiuan Wu
Keyword(s):  
Neural Network ◽  
Taguchi Method ◽  
Prediction Model ◽  
Injection Moulding ◽  
Processing Parameters ◽  
General Regression Neural Network ◽  
Dimensional Error ◽  
Moulding Process ◽  
Injection Moulding Process ◽  
General Regression

Plastics always show mould deformation after the injection moulding process and this can cause dimensional errors. The extent of a dimensional error can be controlled effectively by choosing adequate processing parameters. The target of this work was to reduce the dimensional error in the hexagonal screw diameter when processing polyether ether ketone (PEEK), and to improve the polymer's quality. First, we selected the factor levels according to the chosen quality characteristics. We decided that a prediction model for the injection process could be constructed using the Taguchi quality method and a general regression neural network (GRNN). The optimum conditions determined by the Taguchi method can be modified by the neural network. The injection moulding product can achieve a reduced dimensional error by adjusting the factor levels using this combined approach.

Influence of Injection Moulding Process Parameters on High-Density Polyethylene Surface Hardness

2020 ◽  
Vol 994 ◽  
pp. 189-196
Author(s):  
Aleš Mizera ◽  
Tomáš Fiala ◽  
Miroslav Manas ◽  
Pavel Stoklásek ◽  
Martin Ovsik
Keyword(s):  
Mechanical Properties ◽  
Process Parameters ◽  
Injection Moulding ◽  
High Density Polyethylene ◽  
Surface Hardness ◽  
High Density ◽  
Mould Temperature ◽  
Depth Sensing ◽  
Moulding Process ◽  
Injection Moulding Process

Commodity polymers are a common part of everyday life. They consist mainly of polyolefins such as polyethylene, polypropylene. They are primarily used for ease of processing, cost and especially chemical resistance. The disadvantages of these polymers are low mechanical properties as well as temperature resistance. Any improvement in the mechanical properties can extend the application possibilities of the commodity polymers to the areas reserved for the construction polymers. This paper deals with changing two injection moulding process parameters - melt and mould temperature to high-density polyethylene (HDPE) surface hardness. HDPE hardness was measured using the method of Depth-Sensing Indentation (DSI) on three different instruments (ultranano-, nanoand micro-hardness tester). It has been found that as the melt and mould temperature increases, the hardness slightly increases.

scholarly journals A Review on Microcellular Injection Moulding

Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4209
Author(s):  
Yifei Ding ◽  
Mohammed H. Hassan ◽  
Otto Bakker ◽  
Srichand Hinduja ◽  
Paulo Bártolo
Keyword(s):  
Mechanical Properties ◽  
Injection Moulding ◽  
Polymer Processing ◽  
Bubble Nucleation ◽  
Future Research ◽  
Light Weight ◽  
Environmental Pressures ◽  
Moulding Process ◽  
Research Perspectives ◽  
Injection Moulding Process

Microcellular injection moulding (MuCell®) is a polymer processing technology that uses a supercritical fluid inert gas, CO2 or N2, to produce light-weight products. Due to environmental pressures and the requirement of light-weight parts with good mechanical properties, this technology recently gained significant attention. However, poor surface appearance and limited mechanical properties still prevent the wide applications of this technique. This paper reviews the microcellular injection moulding process, main characteristics of the process, bubble nucleation and growth, and major recent developments in the field. Strategies to improve both the surface quality and mechanical properties are discussed in detail as well as the relationships between processing parameters, morphology, and surface and mechanical properties. Modelling approaches to simulate microcellular injection moulding and the mathematical models behind Moldex 3D and Moldflow, the two most commonly used software tools by industry and academia, are reviewed, and the main limitations are highlighted. Finally, future research perspectives to further develop this technology are also discussed.

scholarly journals Optimisation de la chaîne complète du procédé de moulage par injection métallique

2008 ◽  
pp. 397-422
Author(s):  
Ghassane Ayad ◽  
Thierry Barriere ◽  
Jean-Claude Gelin
Keyword(s):  
Mechanical Properties ◽  
Solid State ◽  
Injection Moulding ◽  
Parametric Identification ◽  
Material Model ◽  
Physical Parameters ◽  
Solid State Diffusion ◽  
Moulding Process ◽  
State Diffusion ◽  
Injection Moulding Process

This paper is related to the parametric identification and optimization of the injection moulding and sintering stage of the Metal Injection Moulding process. The injection stage is described using a biphasic flow formulation, whereas the sintering mechanism by solid state diffusion is accounted through a viscoplastic type material model. The accuracy of the numerical results of the injection moulding or sintering stages is strongly dependent on the identification of physical parameters entering in the models. In this paper one propose to combine the optimization of the injection moulding stage with the parametric identification of the sintering stage in order to determine the size of the mould cavities in order to get components without defects and with the appropriate resulting geometrical sizes and mechanical properties.

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