Optimising Injection Moulding Parameter Setting in Processing Polypropylene-Clay Composites through Taguchi Method

2012 ◽  
Vol 271-272 ◽  
pp. 272-276 ◽  
Author(s):  
Othman Mohd Hilmi ◽  
Sulaiman Hasan ◽  
Wan Nur Azrina Wan Muhammad ◽  
Zakaria Zuramashana
Keyword(s):  
Taguchi Method ◽  
Influential Factor ◽  
Parameter Setting ◽  
Screw Speed ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Filling Time ◽  
Two Factors ◽  
Selection Of

The main purpose of this research is to optimise the injections moulding parameters in processing of thermoplastics samples made from Polypropylene (PP)-Clay with the fraction of 95% PP and 5% Clay, through Design of Experiment -Taguchi Method. The selection of defects or responses that need to be controlled for these thin layer products were warpage and shrinkage. The parameters that were taken into consideration were packing pressure; melt temperature, screw speed and filling time. In this research, the L934 orthogonal from Taguchi Method was chosen as the experiment setup. According to the results, 170°C of melt temperature, 80% of packing pressure, 70% of screw speed and 3 seconds of filling time gave minimum shrinkage of 3.45%. As for the warpage results, the best parameters combinations are 170°C of melt temperature, 70% of packing pressure, 70% of screw speed and 2 seconds of filling time. The Analysis of Variance for warpage shows that screw speed was the most significant factor with 41.83% contribution. As for shrinkage, the most influential factor was packing pressure with 98.48% contribution. Two factors have been pooled which are screw speed and filling time. Based on these findings, it is concluded that by controlling the optimum parameter setting, the best quality of desired product can be easily achieved and maintain through the in process production.

A Study of Injection Moulding Optimum Parameters to Control Shrinkage and Warpage of Polypropylene-Nanoclay Hinges Samples

2013 ◽  
Vol 465-466 ◽  
pp. 1011-1015 ◽  
Author(s):  
Wan Nur Azrina Wan Muhammad ◽  
Mohd Hilmi Othman ◽  
Sulaiman Hasan ◽  
Muhammad Faiz Ruslee
Keyword(s):  
Mass Production ◽  
Injection Moulding ◽  
Complex Geometry ◽  
Signal To Noise Ratio ◽  
Parameter Setting ◽  
Melt Temperature ◽  
Optimum Parameters ◽  
Packing Pressure ◽  
Filling Time

Injection moulding is one of the most efficient processes in mass production that can easily attain up to complex geometry product within a very short cycle time. To choose a suitable setting of parameter was very crucial, in controlling the quality of product with regard to their function. The main propose of this research is to optimize the injection moulding parameter for controlling the shrinkage and warpage of thermoplastics sample through practical injection moulding. The additional study for this project is to investigate the effect of nanoclay contents towards the parameter setting. In this experiment, the selected parameters were packing pressure; melt temperature, screw speed and filling time. The material that was selected for this project was a mixture of polypropylene and nanoclay with the addition of polypropylene-grafted-maleic anhydride as the compatibilizer. Three formulations were chosen, which was 0 wt%, 3 wt% and 5 wt% of Nanoclay. Each formulation was added with 15 wt% of compatibilizer. The experiment design for this project shall adopt the L943Orthogonal Array of Taguchi Method. By using the Signal to Noise Ratio responses, the optimum parameter for each formulation has been obtained. The findings of this experiment shall be useful for future manufacturing process in order to control shrinkage and warpage specifically for products made from polypropylene-nanoclay.

Optimum Injection Moulding Processing Condition to Reduce Shrinkage and Warpage for Polypropylene-Nanoclay-Bamboo Fibre with Compatibilizer

2017 ◽  
Vol 889 ◽  
pp. 51-55 ◽  
Author(s):  
M.H. Othman ◽  
Sulaiman Hasan ◽  
Mohd Halim Irwan Ibrahim ◽  
Siti Zubaidah Khamis
Keyword(s):  
Injection Moulding ◽  
Processing Condition ◽  
Screw Speed ◽  
Melt Temperature ◽  
Moulding Process ◽  
Bamboo Fibre ◽  
Packing Pressure ◽  
Injection Moulding Process ◽  
Filling Time

The purpose of this research is to optimise the processing condition of injection moulding towards samples made from polypropylene-nanoclay-bamboo fibre with compatibilizer. The defects that have been controlled upon the optimisation were shrinkage and warpage. The selection of injection moulding processing condition was packing pressure, melt temperature, screw speed and filling time. The research started by drying the bamboo fibres at 120°C. Then, the 1 wt. % fibres were mixed with 79 wt. % of polypropylene, 15 wt. % of compatibilizer and 5 wt. % of nanoclay. The mixing process was performed by using Brabender Plastograph machine. After that, pallets were produced by using Plastic Granulator machine for injection moulding process. The optimisation process was accomplished by adopting the Taguchi method. According to the results, the value of warpage defect between compounding for 1 wt. % fibre and without fibre content was not significant. However the optimum setting of 170°C melt temperature, 35% packing pressure, 30% screw speed and 2 seconds filling time can significantly reduce shrinkage. In conclusion, the optimum processing condition of polypropylene-nanoclay, fibre bamboo had been achieved, and the existence of fibre obviously giving a promising manufacturing opportunity to improve the quality of the injected moulding products.

scholarly journals Analysis of injection molding for computer cooling fans by Taguchi method and grey relational analysis

Filomat ◽  
2016 ◽  
Vol 30 (15) ◽  
pp. 4199-4211
Author(s):  
Chi-Hung Lo
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Operating Conditions ◽  
Influential Factor ◽  
Injection Molding Process ◽  
Melt Temperature ◽  
Relational Analysis ◽  
Grey Relational

Various factors affect the quality of a plastic product during the injection molding process. In this study, the quality engineering planning method, Taguchi Method, and grey relational analysis were used in this study to determine these factors and the Moldflow Plastics Insight (MPI) was used to conduct the moldflow analysis. By varying different types of operating conditions, the results obtained from the experiments were analyzed so as to verify the influence of each factor on the quality of the final product. The optimal processing parameters which can reduce the mold tryout time and the analysis cost were then determined. The plastic impeller of a computer cooling fan is selected as the case study and the goal is to resolve the warping problems. The deviations in the shear stress distribution as obtained by varying the S/N ratio of variance factors during the experiments are in agreement with the results of analyzing the grey information relational degrees. The most influential factor is the mold temperature, followed sequentially by the fill time, fill pressure, and melt temperature.

Optimization of Processing Parameters for Shell Products Based on Taguchi Method and DOE Technology

2011 ◽  
Vol 88-89 ◽  
pp. 274-278
Author(s):  
Chun Bo Li ◽  
Xue Long Fu
Keyword(s):  
Taguchi Method ◽  
Orthogonal Experiment ◽  
Processing Parameters ◽  
Volumetric Shrinkage ◽  
Mold Surface ◽  
Melt Temperature ◽  
Injection Duration ◽  
Optimum Parameters ◽  
Packing Pressure

An Orthogonal experiment was carried out combined with MPI technology and Taguchi method in order to investigate the effect of parameters, the temperature of the melt and mold, injection duration, packing pressure and duration on the quality of barrel plastics. The optimum parameters to get a minimum volumetric shrinkage and sink index was also finally obtained, that is, melt temperature at 190°C, mold surface at 50°C, injection duration at 5s, packing pressure at 70 MPa with 20s duration.

scholarly journals MENENTUKAN KOMPOSISI OPTIMAL DARI FAKTOR-FAKTOR YANG MEMENGARUHI KETAHANAN ASPAL DENGAN METODE TAGUCHI

2013 ◽  
Vol 2 (1) ◽  
pp. 37
Author(s):  
GUSTI AYU PUTU YULIANDARI ◽  
I GUSTI AYU MADE SRINADI ◽  
I WAYAN SUMARJAYA
Keyword(s):  
Body Weight ◽  
Taguchi Method ◽  
Orthogonal Array ◽  
Degrees Of Freedom ◽  
Optimal Composition ◽  
Factorial Method ◽  
Normal Speed ◽  
Full Factorial ◽  
Selection Of

Taguchi method purpose to improve the quality of a product. This method can reduce the number of execution of the experiment when compared to using a full factorial method. measures taken, namely the calculation of degrees of freedom, the selection of orthogonal array to reduce the run, then calculating S/NR is used to determine the optimal composition of the factors that will affect the durability of asphalt. The results of this research that the optimal composition of the factors that affect the resistance of asphalt are aggregate of 6987.57 tons, temperature of 155? C, compaction speed 5 km/h, hardening time for 4 hours after paving before the opening of traffic at normal speed, thickness of 6.27 cm thick bitumen from the aggregate surface, body weight that is weighing 7 ton. Dimensions of factors is an area of ??5.598m.

Using Taguchi Method to Optimize Molding Process Parameters of Chair Base

2012 ◽  
Vol 271-272 ◽  
pp. 1190-1194
Author(s):  
Hsueh Lin Wu ◽  
Ya Hui Wang
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Simulation Analysis ◽  
Mold Temperature ◽  
Cooling Time ◽  
Injection Time ◽  
Molding Process ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Moldflow Simulation

In this study, volumetric shrinkage at ejection of the chair base in the injection process, application of the 3D CAD software pro/e to design the shape of the product, and then combines moldflow simulation analysis and Taguchi method with L25 Orthogonal Array to determine the optimal injection molding parameters combination. In the Taguchi L25 experimental design, the six controlling factors used are melt temperature, mold temperature, injection time, packing time, packing pressure and cooling time, the result of experiment revealed that the optimum combination of parameters was the A2 (melting temperature 265°C), B3 (mold temperature 40°C), C2 (injection time 1.7sec), D4 (packing pressure 95%), E5 (packing time20sec), F5 (cooling time 20sec). The results show that the combination of Taguchi method and Moldflow can not only improve the molding process parameters effectively, but also optimize the quality of the products.

Application of Taguchi Method to the Optimal Parameters of Injection Molding for the Plastic Components of the Braille Display Cell

2014 ◽  
Vol 1052 ◽  
pp. 495-502
Author(s):  
Fung Huei Yeh ◽  
Ching Lun Li ◽  
Bing Ming Chen
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Surface Defects ◽  
Optimal Parameters ◽  
Melt Temperature ◽  
Filling Time ◽  
Short Shot ◽  
Plastic Components ◽  
Mold Flow ◽  
Braille Display

The paper studies the optimal parameters of injection molding to avoid the deformation, warping, short shot, and surface defects for the plastic components of Braille display cell. At first the Pro/Engineer parametric software is applied for the entity design and rendering. Then the Mold-Flow software is used for mold flow analysis on the influence of each injection parameters. The results show mold temperature, melt temperature, injection pressure, and filling time are the most influential factors on reducing component deformation. Besides, the L9 orthogonal array of Taguchi method is applied to find out the optimal parameters of injection molding. The deformation, short shot and surface defects of the plastic components in Braille display cell are reduced.

scholarly journals Factors influencing consumer behaviour in the beer market in the Czech Republic

2021 ◽  
Vol 39 (No. 4) ◽  
pp. 319-328
Author(s):  
Veronika Svatošová ◽  
Petra Kosová ◽  
Zuzana Svobodová
Keyword(s):  
Czech Republic ◽  
Consumer Behaviour ◽  
Influential Factors ◽  
Influential Factor ◽  
High Quality ◽  
The Czech Republic ◽  
Beer Consumption ◽  
Factors Influencing ◽  
Selection Of

The aim of the paper is to identify the factors influencing consumers when beer consumption and when choosing restaurants for beer consumption in the Czech Republic (CR). A partial goal was to compare preferences and factors influencing beer consumers from the Vysočina Region and the South-Moravian Region. The survey included a questionnaire survey, which 408 respondents took part in. The results showed that the most influential factors in the selection of beer for consumers are taste, a high-quality brand, and Czech production. Surprisingly, price was not found to be an influential factor in beer selection but is rather neutral. Factors that influence consumers most when choosing a restaurant for beer consumption were also identified. Consumers are most influenced by the quality of the beer on offer and the environment in which it is consumed.

An Investigation of Form Errors Predicted Model for Injection Moulded Aspheric VCD Lens

2007 ◽  
Vol 364-366 ◽  
pp. 123-127
Author(s):  
Suet To ◽  
Bing Yan Jiang ◽  
Can Weng ◽  
Wing Bun Lee
Keyword(s):  
Processing Conditions ◽  
Melt Temperature ◽  
Moulding Process ◽  
Form Errors ◽  
Diagnostic Plots ◽  
Packing Pressure ◽  
Predicted Model ◽  
Ram Speed

The aspheric VCD lens is hard to fabricate by injection moulding due to its small volume and high precision requirement. The processing conditions have critical effects on the quality of the moulded lenses. An optic lens needs precisely controlled surface contours, so determination of the processing conditions for lens moulding becomes very complicated. This study’s purpose is to investigate experimentally some effects of the moulding conditions on the form errors of injection moulded lens. An aspheric VCD lens was moulded using polymethyl methacrylate. Different combinations of moulding conditions were used focusing on moulding process parameters of the ram speed, the mould temperature, the melt temperature and the packing pressure, The predicted model of form errors was formulated by orthogonal and regression analysis. Finally, the predicted model is proven to be valid based on the residual diagnostic plots.

Welding Parameter Optimization of Surface Quality by Taguchi Method

2014 ◽  
Vol 660 ◽  
pp. 109-113
Author(s):  
Chuan Huat Ng ◽  
Mohd Khairulamzari Hamjah
Keyword(s):  
Taguchi Method ◽  
Surface Quality ◽  
Weld Pool ◽  
Welding Current ◽  
Droplet Formation ◽  
Welding Parameter ◽  
Welding Parameters ◽  
Weld Parameters ◽  
Selection Of

An experimental study of GTAW was conducted to determine the optimization of weld parameters on the droplet formation in the surface quality of weld pools. These optimization investigations consisted of welding current, welding speed and feed rate. The strength and surface quality of weld pool were measured for each specimen after the welding parameter optimizations and the effect of these parameters on droplet formation were researched. To consider these quality characteristics together in the selection of welding parameters, the Orthogonal Array of Taguchi method is adopted to analyze the effect of each welding parameter on the weld pool quality, and then to determine the welding parameters with the optimal weld pool quality.

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