Comprehensive Simulation Analysis of Plastic Injection Process

2009 ◽  
Author(s):  
Zhi-Xin Chen ◽  
Zhi-Hui Wan ◽  
Cheng Guo
Keyword(s):  
Simulation Analysis ◽  
Injection Process ◽  
Plastic Injection

A Framework of a Continuous Injection Direct Rolling Process for Precision Manufacturing Plastic Plates with Patterned Microstructures

2014 ◽  
Vol 625 ◽  
pp. 489-495
Author(s):  
Ling Bao Kong ◽  
Ji Bin Li ◽  
Chi Fai Cheung ◽  
Yan Lou ◽  
Chang Sheng Wang ◽  
...  
Keyword(s):  
Research Work ◽  
Rolling Process ◽  
Plastic Plate ◽  
Precision Manufacturing ◽  
Injection Nozzle ◽  
Injection Process ◽  
Ultra Precision ◽  
Direct Rolling ◽  
Continuous Injection ◽  
Plastic Injection

This paper presents an integrated roller embossing process named Continuous Injection Direct Rolling (CIDR) process. The CIDR process is similar to Continue Casting Direct Rolling (CCDR) process for metal material. The process consists of Plastic Injection Module, Injection Nozzle, Precision Rolling Module, and Automatic Coiling Module. In the proposed CIDR process, the plastic plate with microstructured pattern is produced by the integrated injection and rolling process, which is different from the current rolling or plastic injection process. Some key technologies including injection nozzle design, roller design, roller coupling, and ultra-precision machining of rollers, are presented. An on-machine measurement method is also proposed and presented to avoid the incontinence and errors caused by disassembling the roller workpiece for off-line measurement. The results of the pilot study are also discussed. The research work provides an enabling solution for precision manufacturing plastic plate and film with microstructured patterns.

scholarly journals Processing and Testing of Reinforced PA66 Based Composites

Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7299
Author(s):  
Alejandro Pereira ◽  
Alberto Tielas ◽  
Teresa Prado ◽  
Maria Fenollera ◽  
José Antonio Pérez
Keyword(s):  
Composite Materials ◽  
Glass Fibre ◽  
High Rate ◽  
Injection Process ◽  
Production Processes ◽  
Short Glass Fibre ◽  
The Matrix ◽  
Plastic Injection ◽  
Short Glass ◽  
Resistance Tests

The new requirements in different sectors, such as aerospace, automotive and construction, for lightweight materials have led to an increase in demand for composite materials suitable for use in high rate production processes, such as plastic injection. This makes it necessary to look for matrices and reinforcements that, in addition to being compatible with each other, are also compatible with the injection process. It is in this area of research where the work presented here arises. To meet the two requirements mentioned above, this study contemplates a battery of composite materials obtained by combining PA66 and fiberglass, in different proportions and configuration, both for the preparation of the matrix and for reinforcement. For the elaboration of the matrix, two options have been evaluated, PA66 and PA66 reinforced at 35% with short glass fibre. To obtain reinforcement, six different options have been evaluated; two conventional fiberglass fabrics (each with different density) and four hybrid fabrics obtained from the previous ones by adding PA66 in different configurations (two over-stitched fabrics and two other fabrics). The different composite materials obtained were validated by means of the corresponding adhesion, peeling and resistance tests.

Energy and GHG Emissions Assessment in a Plastic Injection Process at Machine Component Level: A Case Study of ABS Plastic Part Produced in a Hybrid Injection Molding Machine

2017 ◽  
Author(s):  
Javier Ávila ◽  
Vicente Borja ◽  
Marcelo López-Parra ◽  
Alejandro C. Ramírez-Reivich
Keyword(s):  
Injection Molding ◽  
Ghg Emissions ◽  
Energy Usage ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Energy Assessment ◽  
Injection Process ◽  
Hybrid Injection ◽  
Plastic Injection

In this article a GHG and energy analysis for the plastic injection process of an ABS medium sized injected part carried out in a hybrid injection molding machine is reported. A power consumption process pattern for an ABS medium-size part is defined as well as the energy usage of components, the energy used for the injection process is calculated for the injection cycle and for the process setup. The reported study includes a hybrid machine analysis working under an electric network that relies mainly on thermoelectric energy generation. The GHG emissions assessment was estimated using the 2015 emission factor applied for Mexico. The results provide new experimental data for ABS plastic injected parts in hybrid injection machines. This paper describes the outcomes of a GHG emissions and energy assessment for an ABS medium-sized injected part carried out in a HIMM at UNAM. The approach followed by the authors in this assessment was aimed at providing information about the energy usage and GHG emissions for the process and the part. The main contribution of this paper is the insight related to energy usage indicators in the process, the energy usage and the GHG emissions within components. The product used as a case study and the results of its GHG emissions and energy assessment are presented.

Coated Composite Crosstie Mold Structure Design Used for Experiment with Inventor, Moldflow and Ansys

2013 ◽  
Vol 561 ◽  
pp. 196-200
Author(s):  
Yu Guang Gong ◽  
Zhi Wen Zong ◽  
Ying Yu ◽  
Bai Yuan Lv
Keyword(s):  
Simulation Analysis ◽  
Displacement Vector ◽  
Processing Parameters ◽  
Structure Design ◽  
Mold Cavity ◽  
Von Mises Stress ◽  
Process Conditions ◽  
Injection Mold ◽  
Injection Process ◽  
Von Mises

Coated crosstie products and counter mold components are created in 3-D model using Inventor software, preparing for CAE analysis. By using Moldflow software , to determine products gate location, filling, packing, cooling, push-out processing, as well as the injection process conditions optimization of simulation analysis to find possible defects, modify and optimize the design, determine the best processing parameters and conditions. Binding using Ansys11.0 software to analyze rail sleeper mold cavity deformation, structure stress, get distribution of property of von Mises stress and displacement vector sum, in the mold cavity on the contact surface. By changing the cavity wall thickness, and other factors to improve the force which it is subjected, providing references to structure optimization of injection mold design. It has been proven that in collaborative application of these three softwares, the design of the injection mold is a very efficient and easy.

Biodegradable Mg Strengthened Poly-Lactic Acid Composite through Interfacial Properties

2017 ◽  
Vol 900 ◽  
pp. 7-11
Author(s):  
Muhammad Shoaib Butt ◽  
Jing Bai ◽  
Feng Xue
Keyword(s):  
Lactic Acid ◽  
Body Fluid ◽  
Biomedical Applications ◽  
Mechanical Performance ◽  
High Strength ◽  
Poly Lactic Acid ◽  
Magnesium Alloy Az31 ◽  
Injection Process ◽  
Good Potential ◽  
Plastic Injection

High-strength magnesium alloy (AZ31) reinforced poly-lactic acid (PLA) composite rods for potential application of bone fracture fixation prepared by plastic injection process on Mg rod.Thecomposities possess improved the interfacial bonding between poly-lactic acid and Mg rod due to the micro-anchoring which lead to better mechanical performance in Simulated body fluid solution.The present results indicated that this new PLA-clad Mg composite rods show good potential for biomedical applications.

Pre-Deformed Design of Optical Lenses with Reverse Engineering and Virtual Manufacturing

2014 ◽  
Vol 599-601 ◽  
pp. 391-395
Author(s):  
Wei Zhen Li ◽  
Song Hao Wang
Keyword(s):  
Reverse Engineering ◽  
Virtual Manufacturing ◽  
Maximum Deviation ◽  
Engineering Technology ◽  
Optical Lens ◽  
Accuracy Requirement ◽  
Injection Process ◽  
Conventional Procedure ◽  
Modern Engineering ◽  
Plastic Injection

For higher geometrical accuracy requirement of optical lens, much research has been conducted either by changing the injection process parameters or changing the material of the mold or the mold manufacturing process. Although some degree of improvements was achieved, those were occasional but not-repeatable. One conventional procedure has been: the injection mold core must be polished several times to obtain qualified lens product in preproduction trial, very uneconomical and inefficient. In this paper, modern engineering tools were applied to simplify the correction process in optical lens fabrication. Combining virtual manufacturing with reverse engineering technology, the method was demonstrated very powerful. For the optical lens of 70x29.1mm in this research, the maximum deviation from the flatness after regular plastic injection molding was 0.208mm. While with combined technology of VM and RE the error was reduced to 0.008mm only by once iteration with an improvement of 96.15%. Not only the technology could be extended to larger or more challenging lens fabrication, it could also be applied to curved surfaces. This is really great tool to achieve higher quality optical lens production with much lower expending in labor and funding.

scholarly journals ARTIFICIAL NEURAL NETWORKS FOR PREDICTING THE GENERATION OF ACETALDEHYDE IN PET RESIN IN THE PROCESS OF INJECTION OF PLASTIC PACKAGES

2021 ◽  
Vol 9 (6) ◽  
pp. 97-119
Author(s):  
Mauro Reis Nascimento ◽  
David Barbosa de Alencar ◽  
Manoel Henrique Reis Nascimento ◽  
Carlos Alberto Monteiro
Keyword(s):  
Decision Making ◽  
Strategic Decision ◽  
Drying Temperature ◽  
Pet Bottles ◽  
Injection Process ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Method Analysis ◽  
Plastic Injection

The industrial production of preforms for the manufacture of PET bottles, during the plastic injection process, is essential to regulate the drying temperature of the PET resin, to control the generation of Acetaldehyde (ACH), which alters the flavor of carbonated or non-carbonated drinks, giving the drink a citrus flavor and putting in doubt the quality of packaged products. In this work, an Artificial Neural Network (ANN) of the Backpropagation type (Cascadeforwardnet) is specified to support the decision-making process in controlling the ideal drying temperature of the PET resin, allowing specialists to make the necessary temperature regulation decisions  for the best performance by decreasing ACH levels. The materials and methods were applied according to the manufacturer's characteristics on the moisture in the PET resin grain, which may contain between 50 ppm and 100 ppm of ACH. Data were collected for the method analysis, according to temperatures and residence times used in the blow injection process in the manufacture of the bottle preform, the generation of ACH from the PET bottle after solid post-condensation stage reached residual ACH levels below (3-4) ppm, according to the desired specification, reaching levels below 1 ppm. The results found through the Computational Intelligence (IC) techniques applied by the ANNs, where they allowed the prediction of the ACH levels generated in the plastic injection process of the bottle packaging preform, allowing an effective management of the parameters of production, assisting in strategic decision making regarding the use of temperature control during the drying process of PET resin.

Factorial Design for Reduction of Variation on Plastic Parts Weight

2016 ◽  
pp. 267-277
Author(s):  
María B. Becerra ◽  
Arturo Hernández ◽  
Ángel A. Franco ◽  
José M. Zea ◽  
Roberto Zitzumbo
Keyword(s):  
Efficient Solution ◽  
Stable Process ◽  
Statistical Control ◽  
Optimal Arrangement ◽  
Injection Process ◽  
Weight Variation ◽  
Stable Production ◽  
Plastic Parts ◽  
Plastic Injection

This research aims to find the causes of weight variation of plastic products that cause a high cost and rework. The importance of using statistical control on the weight of plastic parts is presented; describing the type of machinery used to manufacture, considering the properties and applications of material as Acetal and conditions for injection molding operation, where a 24 factorial experimental design was used to find the variables which influence the weight of the product to maintain a stable process. An efficient solution was developed considering the variables of pressure and injection time to be highly significant in the weight of the plastic parts. Finally an optimal arrangement is generated for the plastic injection process which ensures a stable production process and ensures the quality of the product, which implies a reduction of costs and compliance with design specifications.

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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