scholarly journals ANALYSIS OF THE TEMPERATURE FIELD IN A MOLD CAVITY FOR POLYMER INJECTION PROCESS

10.6036/10030 ◽  
2022 ◽  
Vol 97 (1) ◽  
pp. 10-10
Author(s):  
ADRIAN JOSE BENITEZ LOZANO ◽  
CARLOS ANDRES VARGAS ISAZA ◽  
WILFREDO MONTEALEGRE RUBIO

A common situation in the design of injection molds is to achieve an efficient performance in terms of heat transfer, this will allow a higher production rate with better finished parts [1]. One of the most important factors in the design is the cooling time: about 80% of the processing time is determined by it [2]. Seeking to contribute with the increase of productivity, this work presents results of simulations through the finite volume method (MVF) of the injection molding process; those results are compared with an analysis of design of experiments (DOE) with different injection conditions, revealing the study variables that are fundamental to improve the process. Thus, a statistical analysis and a computer simulation analysis are presented to identify the variables inherent to the process and recommend their values.

Materials ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1423
Author(s):  
Eva Oliveira ◽  
João Paulo Silva ◽  
Jorge Laranjeira ◽  
Francisco Macedo ◽  
Senentxu Lanceros-Mendez ◽  
...  

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.


2006 ◽  
Author(s):  
Mikae¨l Chailly ◽  
Vincent Gilbert ◽  
Jean-Yves Charmeau ◽  
Yves Bereaux

Due to increasing expectings from the market, the aspect of molded parts has to be improved. Some of the defects observed such as scratches on these parts is related to the demolding stage. To limit this, we investigated the influence on demolding forces using various surface deposits on the mold surface, mainly PVD and PACVD deposits : Chromium nitrium (CrN), Titane nitrium (TiN), Diamond like Carbon (DLC), glassy deposit (SiOx), Chromium and polished steel on an cube-shaped insert in an instrumented mold (with force sensors). Injection campaign was led on three polymers which differ in terms of nature : an amorphous polymer (polycarbonate), a semi-crystalline one (polybutylene terephatalate) and one mix of copolymers (styrene acrylonitrile/ acrylonitrile butadiene styrene). We studied the evolution of these forces through the demolding stage. This allowed us to evaluate the work energy necessary to eject the part from the insert, and to correlate those data to shrinkage of the polymer part, adhesion between polymer and mold surface and friction coefficient between those surfaces during the demolding stage. We also measured the influence the surface temperature of the part just before the demolding stage thanks to an infrared camera to investigate the thermal influence of these deposits in the injection process. Our results show an influence of deposits on demolding forces which is strongly dependent on nature of the polymer (of course) but also on its chemical nature. They also have a slight influence on temperature of the part even if they are only a few microns thick. We therefore developped a method to evaluate surface deposits and their impact on demolding forces, in terms of adhesion polymer/treament and friction.


Materials ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 1740 ◽  
Author(s):  
Ana Elduque ◽  
Daniel Elduque ◽  
Carmelo Pina ◽  
Isabel Clavería ◽  
Carlos Javierre

Polymer injection-molding is one of the most used manufacturing processes for the production of plastic products. Its electricity consumption highly influences its cost as well as its environmental impact. Reducing these factors is one of the challenges that material science and production engineering face today. However, there is currently a lack of data regarding electricity consumption values for injection-molding, which leads to significant errors due to the inherent high variability of injection-molding and its configurations. In this paper, an empirical model is proposed to better estimate the electricity consumption and the environmental impact of the injection-molding process. This empirical model was created after measuring the electricity consumption of a wide range of parts. It provides a method to estimate both electricity consumption and environmental impact, taking into account characteristics of both the molded parts and the molding machine. A case study of an induction cooktop housing is presented, showing adequate accuracy of the empirical model and the importance of proper machine selection to reduce cost, electricity consumption, and environmental impact.


2014 ◽  
Vol 556-562 ◽  
pp. 2002-2007
Author(s):  
Yong Ming Xu ◽  
Fei Fei Wang ◽  
Meng Meng Ai ◽  
Qing Ming Yu

In this paper, a model of the winding area for a normal working oil-immersed power (180MVA, 220kV) was built to conduct the simulation analysis for heat transfer of fluid field. Based on the fundamental mechanisms of fluid mechanics, limited volume method was used to build the model of the winding area of the power transformer. The effect of the oil input velocity, the amount and the position of oil baffle plate were concluded. The reasonable method to control the temperature was purposed by analyzing the heat-transfer properties for different conditions. When the initial oil velocity was 0.3-0.4 m/s during forced oil circulation, the best heat transfer was achieved. For the natural oil circulation, inserting 3 oil baffle plates at the higher temperature winding ends, when the number of the next two oil baffle plates is 7, the heat delivery effect is best.


2014 ◽  
Vol 609-610 ◽  
pp. 681-686
Author(s):  
Chun Bo Liu ◽  
Jian Ye Sun

In order to broaden the application range of LCP, the simulation of the LCP Hele-Shaw flow in the square cavity was conducted. The temperature of the cavity was constant 300°C. In the simulation the Leslie-Ericksen and TIF theories were used. With this simulation results, we can predict the position of the flow front at any time during the whole injection process and grasp the change of the pressure field and the velocity field. The change of the pressure and the velocity fields were very slow, there was no distortion point in the whole flow field. In the layer near the wall, the directors arranged evenly according to the direction of the flow and in the center layer it was decided by the shear rate in the X-Y plane.


DYNA ◽  
2018 ◽  
Vol 85 (207) ◽  
pp. 260-268 ◽  
Author(s):  
Carolina Caicedo ◽  
Aldo Rafael Vázquez-Arce ◽  
Omar Hernán Ossa ◽  
Hever De La Cruz ◽  
Alfredo Maciel-Cerda

In this work, a development of composites of polypropylene [PP] with mineral fillers [M] of talc and calcium carbonate [CaCO3] by co-extrusion and injection techniques were carried out. In the preparation of the mixtures, was used the rheometric analysis to define the optimum temperature of the extrusion process, and a weight ratio of 80:20 PP: fillers was maintained, while for the injection molding process six generations of PP and its compounds were obtained to study the rheological, thermal, morphological and mechanical properties of the new series of PPnM composites formed from a recycled matrix and the PPMn series reprocessed compounds for up to six cycles. The results allowed correlating the changes due to the thermal history and the influence of adding the mineral fillers. The mechanical characterization in the reprocessed matrix indicated a 6.0% decrease in tensile strength and an increase in flexural strength of 9.9%. Likewise, the compounds showed an increase in tensile strength of 11.7%, while flexural strength reached 35.8%. From the thermogravimetric analysis, the degradation temperature in the matrix gradually decreased from 406.5 °C to 364.3 °C, for the sixth generation with respect to the virgin material by the injection process; meanwhile, for the compounds was maintained around 410 °C indicating an optimal interaction, these results could be contrasted with the colorimetric analysis. Finally, re-injection led to a significant decrease in the size of the talc and CaCO3 particles; the sizes were estimated from microstructural analysis from Scanning Electron Microscope.


Author(s):  
Chuanyang Wang ◽  
Shuai Hu ◽  
Qiubo Qian ◽  
Xuanxuan Shen

The 3D models of gating system, ejection mechanisms and cooling system of the swtich shell for injection mold are designed by using Pro/ENGINEER software. MOLDFLOW is utilized for CAE analysis. Three schemes are obtained by changing the gate location during the injection molding process. After comparing the volume shrinkage during injection, shrink marks index, filling time and the injection pressure, the best scheme is obtained. According to the optimal scheme, the injection mold is designed. The results showed that simulation analysis method can not only improve the successful probability of mold trial, but also shorten the production development cycle of developing product.


2010 ◽  
Vol 37-38 ◽  
pp. 570-575 ◽  
Author(s):  
Bao Shou Sun ◽  
Zhe Chen ◽  
Bo Qin Gu ◽  
Xiao Diao Huang

To optimize injection molding warpage, this paper applies the uniform design of experiment method to search for the optimal injection molding processing parameters. The warpage. simulation analysis is accomplished by emplying Moldflow software. The melt temperature, mold temperature, injection time and packing pressure are regarded as processing parameters, and processing parameters are optimized through establishing a regression equation, and the optimization result and influence factors are analyzed. The results show that uniform design of experiment can reduce number of experiments used effectively and the quality of the product is greatly improved by the optimization method.


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