Influence of the Thermoplastic Type on the Thermal Evolution of a Piezoceramic Patch During the Manufacture of a Smart Thermoplastic Part by Injection Molding Process

2015 ◽  
Vol 137 (2) ◽  
Author(s):  
Louay Elsoufi ◽  
Khaled Khalil ◽  
Willy Charon ◽  
Remy Lachat
Keyword(s):  
Injection Molding ◽  
Comparative Study ◽  
Piezoelectric Properties ◽  
Thermal Evolution ◽  
Maximum Temperature ◽  
Injection Molding Process ◽  
Molding Process ◽  
Injection Process

The frame of the paper is the integration of PZT actuators and sensors within thermoplastic mechanical structures. The objective of the work reported here was to select the appropriate thermoplastic materials for the smart thermoplastic manufacturing. In order to reach this objective, a comparative study was realized between different thermoplastic materials taking into consideration the PZT patch maximum temperature, the overheat time of the PZT patch during injection process, and the PZT loss in piezoelectric properties due to its thermal fragility.

Numerical Investigation on the Effect of Injection Pressure on Melt Front Pressure and Velocity Drop

2015 ◽  
Vol 786 ◽  
pp. 210-214
Author(s):  
M.S. Rusdi ◽  
Mohd Zulkifly Abdullah ◽  
A.S. Mahmud ◽  
C.Y. Khor ◽  
M.S. Abdul Aziz ◽  
...  
Keyword(s):  
Injection Molding ◽  
Cfd Simulation ◽  
Fluid Dynamic ◽  
Injection Pressure ◽  
Simulation Software ◽  
Mold Cavity ◽  
Injection Molding Process ◽  
Flow Profile ◽  
Molding Process ◽  
Injection Process

Computational Fluid Dynamic (CFD) was used to simulate the injection molding process of a tray. The study focuses on pressure distribution and velocity drop during the injection process. CFD simulation software ANSYS FLUENT 14 was utilized in this study. The melt front pressure in the mold cavity shows that it was affected by the shape of mold cavity and filling stage. The melt front pressure will decrease as the flow move further than the sprue but it will increase rapidly when the mold was about to be fully filled. The slight pressure drop was detected when the molten flow meets the rib of the tray. The velocity of higher injection pressure was greater than the lower injection pressure but the velocity rapidly dropped when the melt front fully filled the cavity. The current predicted flow profile was validated by the experimental results, which demonstrates the excellent capability of the simulation tool in solving injection-molding problems.

An Application of Computer Aided Engineering in Rubber Injection Mold With a Cold Runner System Design and Manufacturing

2007 ◽  
Author(s):  
Supasit Rodkwan ◽  
Rungtham Panyawipart ◽  
Chana Raksiri ◽  
Kunnayut Eiamsa-ard
Keyword(s):  
Injection Molding ◽  
Raw Material ◽  
Injection Molding Process ◽  
Molding Process ◽  
Actual System ◽  
Part Quality ◽  
Injection Process ◽  
Design And Manufacturing ◽  
Trial And Error Method ◽  
And Behavior

With a recent growth in the demand of the rubber products globally, the latest technology is adopted to improve the design and manufacturing of those rubber products in term of part quality and production lead time and cost. The cold runner system is one of the technologies which can assist in unfilling part problem and raw material saving. Nevertheless, with the lack of numerical tool with an ability to predict the behavior of rubber during the injection molding process, designers still need to use their experience and trial-and-error method to design the mold and the cold runner system. Therefore, in this research, the use of CAE and a cold runner system is applied to the design and manufacturing of rubber injection molding process with a gasket mold made of SBR as a case study. The empirical and simulated results agree well and the use of raw material in the actual system is decreased by 12% shot weight which can lead to the reduced cost of products. Finally, it can be seen that the use of CAE can assist the mold designers and manufacturers to get better understanding of flow pattern and behavior of rubber during the injection process so the better part quality can be obtained.

scholarly journals Simple equipment for studying the injection molding process

2018 ◽  
Vol 178 ◽  
pp. 02001 ◽  
Author(s):  
Adelina Hriţuc
Keyword(s):  
Injection Molding ◽  
Injection Molding Process ◽  
Molding Process ◽  
Injection Equipment ◽  
Diagram Method ◽  
Constructive Solution ◽  
Injection Process ◽  
Plastic Parts ◽  
Experimental Researches

The injection molding process is largely applied to obtain plastic parts. The problem of finding a simple equipment able to allow the study of the injection process was addressed in the research presented in this paper. Aiming to solve the problem, the main requests valid for the proposed equipment were formulated. Considering some possible versions of the equipment subassemblies, the ideas diagram method and the method of imposed decision were applied to select the most convenient version of the injection equipment. As a result, a constructive solution for a simple injection molding equipment that could be used to develop some experimental researches was identified.

scholarly journals A Low-Carbon Design Method Integrating Structure Design and Injection Process Design for Injection Molding Machines

2019 ◽  
Vol 2019 ◽  
pp. 1-19 ◽  
Author(s):  
Zili Wang ◽  
Shuyou Zhang ◽  
Lemiao Qiu ◽  
Xiaojian Liu ◽  
Heng Li
Keyword(s):  
Injection Molding ◽  
Carbon Emissions ◽  
Process Design ◽  
Design Method ◽  
Structure Design ◽  
Injection Molding Process ◽  
Low Carbon ◽  
Molding Process ◽  
Injection Process ◽  
Pollution Emissions

In the past decades, environmental problems are widely concerned and solved. However, as most solutions, they are methods of “end-of-pipe” treatment which are inefficient and of high cost. Low-carbon design (LCD) is a novel way to solve the problem of pollution emissions at source. Injection molding machine (IMM) as important manufacturing equipment has been widely used in many industries. In the pursuit of high-quality plastic products, the environmental qualities of IMM are often neglected. To achieve low carbon of IMM at source, a LCD method is proposed combining the structure design and injection process design for IMM. At first, LCD decision variables are determined based on interval number theory. Subsequently, the IMM structural carbon emissions and injection molding process carbon emissions are calculated, respectively. Based on this architecture, the carbon emission mathematical model is constructed. To solve the multiobjective optimization problem, the improved strength Pareto evolutionary algorithm based on epsilon dominance (E-SPEA-II) is used, and the design result schemes are sorted using the multiattribute decision-making method for intervals. Finally, the validity of this method is demonstrated by an IMM injection component-integrated low carbon design (ILCD) example.

scholarly journals Fill Time Analysis of 8 Cavities Parison Mould using Taguchi Method

2020 ◽  
Vol 9 (3) ◽  
pp. 2757-2762
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Optimal Parameter ◽  
Mold Temperature ◽  
Design Parameters ◽  
Injection Molding Process ◽  
Molding Process ◽  
Injection Process ◽  
Plastic Injection ◽  
Illustrative Application

In the plastic injection molding process, the optimization of the process parameters is a complex task. This paper presents the optimum conditions of the injection process for 8 cavities mold for 20g parison filled with Polyethylene Terephthalate (PET) by utilizing the Taguchi method. In the Taguchi method, the performance parameter is assumed to be the optimal parameter for injection molding process. An L16 (43) orthogonal array is considered as an experimental plan for the design parameters as suggested in Minitab version. The objective of this study is to propose an approach for efficiently optimizing injection molding parameter, i.e. fill time, with three different outputs, i.e. melting temperature, runner size and mold temperature. The illustrative application and comparison of results show that the proposed methodology outperforms the existing methods and can help injection molding process to efficiently and effectively identify optimal fill time process parameter. The result indicates the best performance for the highest contribution for each respond. This is due to the interaction of factors and it also gives the percentage contribution with 95% confidence level. The analysis using the Taguchi method showed the optimized fill time. The results show that the optimal parameters for the fill time during injection process of 8 cavities mold 20g parison is A1B1C4.

Effect of Micro-Injection Molding Process Parameters for Various Micro-Channels

2011 ◽  
Vol 483 ◽  
pp. 53-57 ◽  
Author(s):  
Duo Yang ◽  
Chong Liu ◽  
Zheng Xu ◽  
Ji Zhang Wang ◽  
Li Ding Wang
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Molding Process ◽  
Injection Process ◽  
Orthogonal Experiments ◽  
Micro Channels ◽  
Principal Factors ◽  
Replication Accuracy

Micro-channels were the main microstructures in most micro-fluidic devices. In this paper, the effects of injection molding process parameters on the replicability of micro-channels profile are studied. Orthogonal experiments (Taguchi method) are carried out to establish the relationship between injection process parameters and replication accuracy for various micro-channels. Experimental results show that mold temperature and packing pressure are the principal factors in molding process. The replication accuracy depends strongly on the processing conditions. The replication accuracy reached about 99.84% using the optimum parameters.

scholarly journals Fabrication, Characterization and Implementation of Thermo Resistive TiCu(N,O) Thin Films in a Polymer Injection Mold

Materials ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1423
Author(s):  
Eva Oliveira ◽  
João Paulo Silva ◽  
Jorge Laranjeira ◽  
Francisco Macedo ◽  
Senentxu Lanceros-Mendez ◽  
...  
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Injection Molding ◽  
Polymer Melt ◽  
General Idea ◽  
Injection Molding Process ◽  
Molding Process ◽  
Steel Mold ◽  
Polymer Injection ◽  
Injection Process

This paper presents the development of metallic thermoresistive thin film, providing an innovative solution to dynamically control the temperature during the injection molding process of polymeric parts. The general idea was to tailor the signal response of the nitrogen- and oxygen-doped titanium-copper thin film (TiCu(N,O))-based transducers, in order to optimize their use in temperature sensor devices. The results reveal that the nitrogen or oxygen doping level has an evident effect on the thermoresistive response of TiCu(N,O) films. The temperature coefficient of resistance values reached 2.29 × 10−2 °C−1, which was almost six times higher than the traditional platinum-based sensors. In order to demonstrate the sensing capabilities of thin films, a proof-of-concept experiment was carried out, integrating the developed TiCu(N,O) films with the best response in an injection steel mold, connected to a data acquisition system. These novel sensor inserts proved to be sensitive to the temperature evolution during the injection process, directly in contact with the polymer melt in the mold, demonstrating their possible use in real operation devices where temperature profiles are a major parameter, such as the injection molding process of polymeric parts.

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