A novel method for predicting degrees of crystallinity in injection molding during packing stage

2017 ◽  
Vol 233 (1) ◽  
pp. 204-214 ◽  
Author(s):  
Peng Zhao ◽  
Weimin Yang ◽  
Xiaoman Wang ◽  
Jiangang Li ◽  
Bo Yan ◽  
...  
Keyword(s):  
Injection Molding ◽  
Prediction Method ◽  
Mold Temperature ◽  
Simulation Software ◽  
Complex Flow ◽  
Packing Pressure ◽  
Injection Molding Simulation ◽  
Novel Method ◽  
High Cooling Rates ◽  
Density Results

Being able to predict products’ degrees of crystallinity and thereby optimize their crystallization processes is of great significance for producing high-quality polymeric products in injection molding. However, it is rather difficult to theoretically establish the relationship between the crystallization results and processing conditions (high cooling rates and pressures, strong and complex flow fields). Injection molding simulation software can simulate polymers’ density results during packing stage, and these predicted density results can be used to calculate polymers’ crystallinity results. Based on this idea, a novel method was proposed to predict the degrees of crystallinity for polymers during packing stage. In this method, pressure and temperature results are first simulated by an injection molding simulation software, and then the density results are calculated based on a pressure–volume–temperature model. Next, the crystallinity results are solved according to the densities of the fully crystalline part and the purely amorphous part. Finally, two case studies are conducted to verify the proposed crystallinity prediction method. Moreover, the effects of packing parameters (mold temperature, packing pressure, and packing time) on polymers’ crystallization behaviors are investigated. The experimental results show that the proposed method is correct and effective.

Development of a Novel Pvt Measuring Technique

2012 ◽  
Vol 729 ◽  
pp. 126-131 ◽  
Author(s):  
Ferenc Szabó ◽  
József Gábor Kovács
Keyword(s):  
Injection Molding ◽  
Input Data ◽  
Measuring Method ◽  
Mold Temperature ◽  
Simulation Software ◽  
Processing Conditions ◽  
Pvt Data ◽  
Injection Molding Simulation ◽  
Volume Relation

The pressure-temperature-specific volume relation of polymers is important not only for physical chemistry, but they are very significant input data for injection molding simulation software. Todays methods for measuring pvT data are slow, measurements can take days to be carried out, and in many cases the accuracy of the measurement is unsatisfactory. In our work, a new measuring method has been developed which makes the determination of the pvT relation faster compared to conventional processes within injection molding processing conditions. For the measurements a special injection mould was developed, in which the pvT relation of the material can be determined from the shrinkage in the mold. The data measured by the new method using polypropylene at a mold temperature of 23°C were compared to the data given in the database of the simulation software.

Study on Optical Properties of Microstructure of Lightguiding Plate for Micro Injection Molding and Micro Injection-Compression Molding

2006 ◽  
Vol 505-507 ◽  
pp. 229-234 ◽  
Author(s):  
Yung Kang Shen ◽  
H.J. Chang ◽  
C.T. Lin
Keyword(s):  
Optical Properties ◽  
Injection Molding ◽  
Digital Camera ◽  
Mold Temperature ◽  
Compression Molding ◽  
Micro Injection Molding ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Injection Compression Molding ◽  
Better Than

The purpose of this paper presents the optical properties of microstructure of lightguiding plate for micro injection molding (MIM) and micro injection-compression molding (MICM). The lightguiding plate is applied on LCD of two inch of digital camera. Its radius of microstructure is from 100μm to 300μm by linearity expansion. The material of lightguiding plate uses the PMMA plastic. This paper uses the luminance distribution to make a comparison between MIM and MICM for the optical properties of lightguiding plate. The important parameters of process for optical properties are the mold temperature, melt temperature and packing pressure in micro injection molding. The important parameters of process for optical properties are the compression distance, mold temperature and compression speed in micro injection-compression molding. The process of micro injection-compression molding is better than micro injection molding for optical properties.

The Use of Advanced Aluminum Alloys for Enhanced Productivity in Plastic Injection Molding

2000 ◽  
Author(s):  
Jim Nerone ◽  
Karthik Ramani
Keyword(s):  
Aluminum Alloys ◽  
Injection Molding ◽  
Wall Thickness ◽  
Simulation Software ◽  
Cooling Time ◽  
Coolant Temperature ◽  
Steel Mold ◽  
Cooling Channels ◽  
Injection Molding Simulation ◽  
Increased Strength

Abstract New aluminum alloys, QC-7® and QE-7®, have thermal conductivities four times greater than traditional tool steels, and have significantly increased strength and hardness compared to traditional aluminum materials. Molds were constructed of P-20 tool steel and QE-7® aluminum and were used to provide experimental data regarding thermal mold characteristic and confirm injection molding simulation predictions using C-Mold®. The relationships between cooling time reduction (using aluminum alloys) and polymer type, cooling channel depth, part wall thickness, and coolant temperature were explored both experimentally and using simulation software. It was shown that the potential reduction in cooling time varied from 5% to 25%. The most significant percentage improvements were observed in parts with part wall thickness of 0.05″ to 0.10″ and in molds with cooling channels at a depth ratio (D/d) of 2.0. The thermal pulses in the steel mold 0.10″ from the surface were approximately 63% larger than in aluminum mold.

Gate Location Optimization in Injection Molding Processing

2000 ◽  
Author(s):  
Baojiu Lin ◽  
Won Gil Ryim
Keyword(s):  
Injection Molding ◽  
Simulation Software ◽  
Innovative Technology ◽  
Software Module ◽  
Location Optimization ◽  
Gate Location ◽  
Part Quality ◽  
Design Cycle ◽  
Injection Molding Simulation ◽  
Complex Models

Abstract Improvements in part quality and cost reduction are the primary objectives of CAE use in the injection molding industry. Engineers use advanced injection molding simulation software to analyze and verify their part designs. Traditionally, engineers have had to rerun simulations to verify the effects of changes in gate locations. For complex models, simulations are very time consuming. To reduce the design cycle time, a Design Optimization Module is developed by C-MOLD. One of the functions of this new software module is to automatically select optimal gate locations. This innovative technology is the result of close R&D collaboration between C-MOLD and LG-PRC in Korea. An overview of gate location optimization technology is presented in this paper, and several examples are also presented as illustration.

The simulation of the warpage rule of the thin-walled part of polypropylene composite based on the coupling effect of mold deformation and injection molding process

2018 ◽  
Vol 25 (3) ◽  
pp. 593-601 ◽  
Author(s):  
Jixiang Zhang ◽  
Xiaoyi Yin ◽  
Fengzhi Liu ◽  
Pan Yang
Keyword(s):  
Injection Molding ◽  
Coupling Effect ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Plastic Part ◽  
Molding Process ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Thin Walled ◽  
Packing Time

Abstract Aiming at the problem that a thin-walled plastic part easily produces warpage, an orthogonal experimental method was used for multiparameter coupling analysis, with mold structure parameters and injection molding process parameters considered synthetically. The plastic part deformation under different experiment schemes was comparatively studied, and the key factors affecting the plastic part warpage were analyzed. Then the injection molding process was optimized. The results showed that the important order of the influence factors for the plastic part warpage was packing pressure, packing time, cooling plan, mold temperature, and melt temperature. Among them, packing pressure was the most significant factor. The optimal injection molding process schemes reducing the plastic part warpage were melt temperature (260°C), mold temperature (60°C), packing pressure (150 MPa), packing time (2 s), and cooling plan 3. In this situation, the forming plate flatness was better.

Warpage Measurement of a Micro Electrical Fan on Micro-Injection Molding

2012 ◽  
Vol 184-185 ◽  
pp. 1651-1654
Author(s):  
Jeou Long Lee ◽  
Y. Lin ◽  
Y.K. Shen
Keyword(s):  
Injection Molding ◽  
Injection Pressure ◽  
Acrylonitrile Butadiene Styrene ◽  
Mold Temperature ◽  
Micro Injection Molding ◽  
Optimum Result ◽  
Suitable Material ◽  
Packing Pressure ◽  
Injection Molded ◽  
Packing Time

This study characterizes warpage of a micro-injection molded micro electrical fan using the Michelson interference method. This study conducts experiments to analyze different polymers-polypropylene (PP), polyamide (PA), acrylonitrile-butadiene styrene (ABS), ABS+ polycarbonate (PC), and polyoxymethylene (POM)-process parameters, such as mold temperature, injection temperature, injection pressure, injection time, packing time, and packing pressure, for a micro electrical fan. To obtain the optimum result (minimum warpage), this study assesses the effect (warpage) of each material on micro-injection molding. PA plastic is the very suitable material for micro electrical fan with Michelson interference analysis on micro-injection molding.

Influence of Injection Molding Process Parameters on Sink Marks of Injection Parts Based on Moldflow

2013 ◽  
Vol 347-350 ◽  
pp. 1163-1167
Author(s):  
Ling Bai ◽  
Hai Ying Zhang ◽  
Wen Liu
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Mold Temperature ◽  
Processing Parameters ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Sink Marks ◽  
Research Show

Moldflow software was used to obtain the best gate location and count. Influence of injection molding processing parameters on sink marks of injection-piece was studied based on orthogonal test. The effects of different process parameters were analyzed and better process parameters were obtained. Results of research show that decreasing melt temperature, mold temperature, the increasing injection time and packing pressure can effectively reduce the sink marks index.

scholarly journals PHBV Crystallization under Injection Molding Conditions: Influence of Packing Pressure and Mold Temperature

2017 ◽  
Author(s):  
G. El hajj Sleiman ◽  
G Colomines ◽  
R Deterre ◽  
I Petit ◽  
E Leroy ◽  
...  
Keyword(s):  
Injection Molding ◽  
Mold Temperature ◽  
Packing Pressure

Verification CAE System for Plastic Injection

2016 ◽  
Vol 834 ◽  
pp. 79-83 ◽  
Author(s):  
Lukáš Satin ◽  
Jozef Bílik
Keyword(s):  
Injection Molding ◽  
Simulation Software ◽  
3D Scanner ◽  
Injection Process ◽  
Major Subject ◽  
Technology Process ◽  
Injection Molding Simulation ◽  
Plastic Parts ◽  
Cae System ◽  
Plastic Injection

This article is focused on the field of computer simulation and it is subsequent verification in practice. The work highlights the injection process, the simulation software that is specialized in injection molding and the technology process of injection itself. The major subject of the thesis is the use of the computer aided injection molding technology by using the CAE systems. The experimental part of the thesis deals with the production of the 3D model specific plastic parts in two modifications, injection molding simulation in the system Moldex3D and digitization of moldings on the optical 3D scanner. In the thesis we also provide measuring realization on digitized models and comparison of the parts size with the computer model. In conclusion we summarize the results achieved from the comparison. The thesis is carried out in cooperation with the Simulpast s.r.o.

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