A Review of the Effect of Process Parameters on the Performance of Plastic Injection Molding Process to Control the Warpage in Plastics

2015 ◽  
Vol 830-831 ◽  
pp. 116-119 ◽  
Author(s):  
Gurjeet Singh ◽  
Mohan Kumar Pradhan ◽  
Ajay Verma
Keyword(s):  
Process Parameters ◽  
Injection Moulding ◽  
Process Parameter ◽  
Coolant Temperature ◽  
Injection Molding Process ◽  
Melt Temperature ◽  
Influence Of Process Parameters ◽  
Moulding Process ◽  
Injection Moulding Process ◽  
Plastic Injection

Quality control is important aspect of manufacturing process. The quality of product in injection moulding is influenced by injection moulding process parameter. A study of the influence of process parameters on the injection moulding process is presented. Statistically based model approach were studied. In this the process parameter that affect the injection moulding process are like injection time, injection pressure, packing pressure, packing time, cooling time, coolant temperature mold temperature, melt temperature are studied and compared. This paper deals with design of experiment approach to fine out optimal parameter setting. The comparison shows effect of parameters on injection moulding process.Key words: Plastic injection moulding, Orthogonal array, Cycle time

Investigating the Effects of Injection Moulding Process Parameters on Multiple Tensile Characteristics of Plastic Spur Gear via Experimental Approach

2013 ◽  
Vol 748 ◽  
pp. 544-548 ◽  
Author(s):  
Nik Mizamzul Mehat ◽  
Shahrul Kamaruddin ◽  
Abdul Rahim Othman
Keyword(s):  
Process Parameters ◽  
Injection Moulding ◽  
Experimental Approach ◽  
Low Cost ◽  
Spur Gear ◽  
Melt Temperature ◽  
Moulding Process ◽  
Packing Pressure ◽  
Injection Moulding Process ◽  
State Of Tension

This paper presents the original development of an experimental approach in studying the multiple tensile characterizations as key quality characteristics for several different plastic gear materials related to various parameters in injection moulding process. In this study, emphases are given on a new low-cost mechanism for the testing of the injection moulded plastic spur gear specimens with various teeth module. The testing fixture are developed and validated to provide uniform state of tension with series of plastic gear specimens produced in accordance with the systematically designed of experiment. The effects of changes in the process parameters including melt temperature, packing pressure, packing time and cooling time at three different levels on the elongation at break and ultimate strength of plastic gear is evaluated and studied through the proposed experimental approach.

Investigation of Plastic Injecting Moulding Process Optimization in Complex Shape Product

2014 ◽  
Vol 695 ◽  
pp. 260-264
Author(s):  
Ahmad Aizuddin Bin Abd Aziz ◽  
Shamsuddin Sulaiman ◽  
Aung Lwin Moe ◽  
Aminudin bin Abu
Keyword(s):  
Injection Molding ◽  
Process Optimization ◽  
Process Parameters ◽  
Plastic Injection Molding ◽  
Injection Molding Process ◽  
Molding Process ◽  
Moulding Process ◽  
Injection Moulding Process ◽  
Result Show ◽  
Plastic Injection

Nowadays, plastic injection molding is widely used in the production of very complex parts and it enables to produce numerous parts within one cycle. Molding conditions or process parameters are crucial for productivity and quality of desired products. This research aims to investigate the state-of-the-art approach to find optimal parameters characteristics in plastic injection molding process. Fill time, average velocity, pressure, clamp force, cooling time and volumetric shrinkages are selected as process parameters in this research. Nokia 6680 model is used for revealing process optimization. Two case studies based on two plates and three plate moulding layout are conducted to suggest the plastic injection mold optimization process. The process parameters of two proposed layouts are compared based on Mold flow Plastics Insight (MPI) analysis results. Result show that three plate moulding satisfy not only the process quality but also the product quality characteristics in this injection moulding process.

Multi-Response Parameters Optimisation for Energy-Efficient Injection Moulding Process via Dynamic Shainin DOE Method

2013 ◽  
Vol 554-557 ◽  
pp. 1669-1682 ◽  
Author(s):  
Kam Hoe Yin ◽  
Hui Leng Choo ◽  
Dunant Halim ◽  
Chris Rudd
Keyword(s):  
Energy Consumption ◽  
Process Parameters ◽  
Injection Moulding ◽  
Shop Floor ◽  
Operational Experience ◽  
Moulding Process ◽  
Part Quality ◽  
Control Factors ◽  
Injection Moulding Process ◽  
Signal Response

Process parameters optimisation has been identified as a potential approach to realise a greener injection moulding process. However, reduction in the process energy consumption does not necessarily imply a good part quality. An effective multi-response optimisation process can be demanding and often relies on extensive operational experience from human operators. Therefore, this research focuses on an attempt to develop a more user-friendly approach which could simultaneously deal with the requirements of energy efficiency and part quality. This research proposes a novel approach using a dynamic Shainin Design of Experiment (DOE) methodology to determine an optimal combination of process parameters used in the injection moulding process. The Shainin DOE method is adopted to pinpoint the most important factors on energy consumption and the targeted part quality whereas the ‘dynamic’ term refers to the signal-response system. The effectiveness of the proposed approach was illustrated by investigating the influence of various dominant parameters on the specific energy consumption (SEC) and the Charpy impact strength (CIS) of polypropylene (PP) material after being injection-moulded into impact test specimens. From the experimental results, barrel temperature was identified as the signal factor while mould temperature and cooling time were used as control factors in the full factorial experiments. Then, response function modelling (RFM) was built to characterise the signal-response relationship as a function of the control factors. Finally, RFM led to a trade-off solution where reducing part-to-part variation for CIS resulted in an increase of SEC. Therefore, the research outcomes have demonstrated that the proposed methodology can be practically applied at the factory shop floor to achieve different performance output targets specified by the customer or the manufacturer’s intent.

Optimization of Injection Moulding Process Parameters for Manufacturing Plastic Components (PBT) Using Taguchi Method (TM)

2019 ◽  
Vol 969 ◽  
pp. 775-780
Author(s):  
Rajendra Khavekar ◽  
Hari Vasudevan ◽  
Gosar Vimal
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Injection Moulding ◽  
Injection Pressure ◽  
Injection Time ◽  
Time Zone ◽  
Polybutylene Terephthalate ◽  
Influence Of Process Parameters ◽  
Pressure Injection ◽  
Injection Moulding Process

In this Paper, the application of Taguchi Method (TM) on the process parameters of Injection Moulding of Polybutylene Terephthalate (PBT) is presented. The influence of process parameters, such as Injection Pressure, Suckback Pressure, Injection Time, Cooling Time, Zone 1 Temperature & Zone 2 Temperature (Barrel Temperatures) on Dark Spots and Short Shots (defects) were investigated using the Orthogonal Array L16 of Taguchi Method for 6 factors at 2 levels each with the response being percent defectives. It was found that Injection Pressure, Injection Time & Zone 1 Temperature had a major effect on the response. After the application of Taguchi Method, the rejection rate dropped down to 5.84% from 11.33%, which is a 48.45% reduction.

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