The Study of Micro-Injection Molding of Thin-Wall Light Guide Plate with Hemispherical Micro Structures

2012 ◽  
Vol 562-564 ◽  
pp. 611-614 ◽  
Author(s):  
Peng Wei Dong ◽  
Heng Zhi Cai ◽  
Ya Jun Zhang ◽  
Zhong Li Zhao ◽  
Xin Liang Wang

Micro injection molding is widely used due to it’s high accuracy, high production efficiency, low cost and the ability to fabricate products with complex structures. For thin-wall and large area parts, it is difficult to fill the cavity with micro structure. The light guide plate is a typical product. In this paper, the filling process of the light guide plate (LGP) with micro structures on the surface is studied. And the warpage of the LGP is analyzed, which affects the optical performance remarkably. Orthogonal method is used to analyze the filling process and the wrapage. The most important factor that affects the filling process and the wrapage is the injection pressure. The levels of the different process parameters on filling process are injection pressure, melt temperature, mold temperature, injection speed and packing pressure. For warpage, the sequence of the effect is injection pressure, mold temperature, packing pressure, melt temperature and injection speed.

2012 ◽  
Vol 503 ◽  
pp. 222-226 ◽  
Author(s):  
Peng Wei Dong ◽  
Zhong Li Zhao ◽  
Da Ming Wu ◽  
Ya Yun Zhang ◽  
Jian Zhuang

Micro injection molding is used widely owing to its high accuracy, high production efficiency, low cost and can fabricate products with complex structures. For optical components, the residual stress is a main element for quality. In this research, the light guide plate is used as the study object. The light guide plate was designed by software Pro-E, and was simulated by Moldflow for filling process. Orthogonal method was used in this research. The most important factor that affects residual stress level is mold temperature. The level of the different process parameters on residual stress are mold temperature, packing time, packing pressure and melt temperature.


2012 ◽  
Vol 253-255 ◽  
pp. 2223-2226 ◽  
Author(s):  
Yi Cheng Chen ◽  
Yen Chao Wang ◽  
Shi Chang Tseng

This research focuses on the effect manufacture factors about the brightness and uniformity of multi-stage reflector. Trace-pro and 3D CAD model were used for optical simulations. The optical simulation results of grating lens and reflector were done as well as successfully developed the LED fog lamp. The results meet the regulations, R19 CLASS F3, of Economic Commission for Europe (ECE) at the test distance of 25 meters, and central zone under line6 achieves average over 3200cd. The optimal design of reflector is of third-order paraboloidal one to improve the brightness and uniformity. The acuter the microstructure’s tip is(R below 0.1mm), the better the apparent improving of eliminating stray light. In accordance with microstructure of grating lens, Moldex-3D is used to help the mold flow filling simulation and mold design. The mold cavity with microstructure was manufactured by the wire cutting and polishing processing. And the molding plastic was optics level PC (Polycarbonate). Both Taguchi’s method applied in Moldex-3D and real injection molding experiments showed that high melt temperature, low injection speed and suitable holding time can reduce warpage; in addition, using higher melt temperature, mold temperature and injection pressure can achieve higher degree of replication of micro features.


2011 ◽  
Vol 189-193 ◽  
pp. 537-540
Author(s):  
Jia Min Zhang ◽  
Ming Yi Zhu ◽  
Zhao Xun Lian ◽  
Rong Zhu

The use of L27 (35) orthogonal to the battery shell injection molding process is optimized. The main factors of technical parameters were determined mould temperature, melt temperature, the speed of injection, injection pressure, cooling time.On the basis of actual production, to determine the factors values of different process parameters.Combination of scrapped products in key (reduction and a high degree of tolerance deflated) tests were selected in the process parameters within the scope of the assessment. Various factors impact on the product of the total height followed by cooling time, mold temperature, melt temperature, injection pressure, injection speed from strong to weak .The best products technological parameters were determined.Good results were obtained for production.


2012 ◽  
Vol 501 ◽  
pp. 117-121
Author(s):  
Gang Gou ◽  
Peng Cheng Xie ◽  
Wei Min Yang ◽  
Yu Mei Ding

The ability for polymer melt to flow into the microstructure is a crucial factor for successful molding in the microinjection molding of plastic parts. In this study, a simplified analytical model with a direct hot runner nozzle and was constructed to estimate the filling percentage of mold’s cavity. The filling behavior of polymer melt was observed by 3D simulation software Moldflow. The effects of the mold temperature, melt temperature, injection pressure, injection rate, and packing pressure on the filling behavior of polymer melt were investigated. Results revealed that the filling percentage increased with respect to the increase of mold temperature and melt temperature which didn’t exceed its degradation temperature. The injection pressure and packing pressure dramatically influence the filling percentage, and it made no sense to lift the injection speed to fill the cavity when the injection speed reached the relatively high values, and only processing parameter combined available could guarantee the perfect flow and filling for the microstructure.


2011 ◽  
Vol 55-57 ◽  
pp. 1511-1517
Author(s):  
Xiao Hua Wei ◽  
Bai Yang Lou

According to the basic theory and process of conventional injection molding, using the CAE software, numerical simulation research of the injection molding characteristic for micro thin-wall plastic parts are put forward. The effects of process parameters (melt temperature, mold temperature, injection pressure, injection rate) on molding characteristic of micro thin-wall plastic parts are discussed by single factor method, compare the significance of each factors.The simulation results showed that volume could be improved with the increase of melt temperature ,molding temperature, injection pressure and injection rate.


2016 ◽  
Vol 47 (1) ◽  
pp. 1399-1401 ◽  
Author(s):  
Gun-Wook Yoon ◽  
Seok-Won Bae ◽  
Hyun-Seung Cho ◽  
Jun-Bo Yoon

2006 ◽  
Vol 37 (1) ◽  
pp. 454
Author(s):  
Hsiharng Yang ◽  
Wei-Shan Cheng ◽  
Ruey Fang Shyu ◽  
Feng-Tsai Weng

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Youmin Wang ◽  
Zhichao Yan ◽  
Xuejun Shan

In order to obtain the optimal combination of process parameters for vertical-faced polypropylene bottle injection molding, with UG, the model of the bottle was drawn, and then, one module and sixteen-cavity injection molding system was established and analyzed using Moldflow. For filling and maintaining pressure during the process of infusion bottle injection molding, the orthogonal test table L25 (56) using CAE was designed for injection molding of the bottle, with six parameters such as melt temperature, mold temperature, injection pressure, injection time, dwell pressure, and dwell time as orthogonal test factors. By finding the best combination of process parameters, the orthogonal experiment was completed, the results were analyzed by range analysis, and the order of influence of each process parameter on each direction of optimization was obtained. The prediction dates of the infusion bottle were gained under various parameters, a comprehensive quality evaluation index of the bottle was formulated, and the multiobjective optimization problem of injection molding process was transformed into a single-objective optimization problem by the integrated weighted score method. The bottle parameters were optimized by analyzing the range date of the weighted scoring method, and the best parameter combination such as melt temperature 200°C, mold temperature 80°C, injection pressure 40 MPa, injection time 2.1 S, dwell pressure 40 MPa, and dwell time 40 S was gained.


2019 ◽  
Vol 68 (3) ◽  
pp. 038502
Author(s):  
Ping Xu ◽  
Wei Yang ◽  
Xu-Lin Zhang ◽  
Tong-Zheng Luo ◽  
Yan-Yan Huang

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