scholarly journals A Dimensionless Characteristic Number for Process Selection and Mold Design in Composites Manufacturing: Part II—Applications

2020 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Claudio Di Fratta ◽  
Yixun Sun ◽  
Philippe Causse ◽  
François Trochu
Keyword(s):  
Injection Pressure ◽  
Characteristic Number ◽  
Dimensionless Number ◽  
Liquid Composite Molding ◽  
Process Selection ◽  
Composites Manufacturing ◽  
Liquid Polymer ◽  
Filling Time ◽  
Rectangular Laminate ◽  
Injection Strategies

The dimensionless “injectability number” was devised to assist composite engineers in the fabrication of continuous fiber composites by Liquid Composite Molding (LCM), i.e., by injecting a liquid polymer resin through a fibrous reinforcement contained in a mold cavity. Part I of this article introduced the injectability number as the integral of the ratio of the injection pressure to the resin viscosity over the cavity filling time and analyzed the theoretical aspects behind this new concept. For a given mold configuration and reinforcement material characteristics, the invariance of the injectability number with regard to process parameters was demonstrated, and an initial verification in unidirectional injection cases was conducted. Part II completes the analysis by evaluating the injectability number in more complex application cases, confirming its invariance properties. The investigation, which was carried out using numerical simulations of different LCM processes and injection strategies, examined the fabrication of various composite parts: a rectangular laminate, a hood for automotive applications, a reservoir box and a fuselage section for the aerospace industry. The results indicate that more efficient injection strategies lead to lower values of the injectability number, thus enabling the use of this dimensionless number as a tool to assess the difficulty to manufacture a given part by LCM as well as to guide process selection and compare different mold configurations.

scholarly journals A Dimensionless Characteristic Number for Process Selection and Mold Design in Composites Manufacturing: Part I—Theory

2020 ◽  
Vol 4 (1) ◽  
pp. 11
Author(s):  
Claudio Di Fratta ◽  
Yixun Sun ◽  
Philippe Causse ◽  
François Trochu
Keyword(s):  
Injection Pressure ◽  
Characteristic Number ◽  
Dimensionless Number ◽  
Mold Design ◽  
Liquid Composite Molding ◽  
Process Selection ◽  
Optimal Position ◽  
Liquid Polymer ◽  
Filling Time ◽  
Novel Concept

The present article introduces a dimensionless number devised to assist composite engineers in the fabrication of continuous fiber composites by Liquid Composite Molding (LCM), i.e., by injecting a liquid polymer resin through a fibrous reinforcement contained in a closed mold. This dimensionless number is calculated by integrating the ratio of the injection pressure to the liquid viscosity over the cavity filling time. It is hereby called the “injectability number” and provides an evaluation of the difficulty to inject a liquid into a porous material for a given part geometry, permeability distribution, and position of the inlet gate. The theoretical aspects behind this new concept are analyzed in Part I of the article, which demonstrates the invariance of the injectability number with respect to process parameters like constant and varying injection pressure or flow rate. Part I also details how process engineers can use the injectability number to address challenges in composite fabrication, such as process selection, mold design, and parameter optimization. Thanks to the injectability number, the optimal position of the inlet gate can be assessed and injection parameters scaled to speed up mold design. Part II of the article completes the demonstration of the novel concept by applying it to a series of LCM process examples of increasing complexity.

Experimental Study on the Influence of Pulsatile Injection Pressure on Filling Pressure and Filling Time

2007 ◽  
Vol 46 (7) ◽  
pp. 709-712
Author(s):  
Jin-ping Qu ◽  
Weihua Zhou ◽  
Bin Liu ◽  
Wenzhe Pan
Keyword(s):  
Experimental Study ◽  
Injection Pressure ◽  
Filling Pressure ◽  
Filling Time

Optical measurement of local permeability of flax fiber fabrics before liquid composite molding

2018 ◽  
Vol 52 (24) ◽  
pp. 3289-3297 ◽  
Author(s):  
Benoît Cosson
Keyword(s):  
Optical Method ◽  
Fiber Volume Fraction ◽  
Natural Fiber ◽  
Volume Fraction ◽  
Optical Measurement ◽  
Transmission Measurement ◽  
Liquid Composite Molding ◽  
Fiber Volume ◽  
Filling Time ◽  
Composite Molding

Tracking the variability of natural fiber-based fabrics properties, such as local areal weight, fiber volume fraction, and therefore permeability, is crucial to optimize the parts processing of the bio-composites. This paper aims at developing a cost-effective and efficient optical method in order to predict the permeability of flax fabrics used in liquid composite molding processes. This method using an LCD monitor as light source and a reflex camera as a measurement device is based on light transmission measurement through fabric thickness. The raw data given by the camera are gray scale maps, transformed into areal weight maps. FEM software based on levelset method is finally used to highlight the influence of the local variability of the fiber volume fraction, and of the related fabrics porosity and permeability on the mold filling time. The proposed method can be directly implemented on the manufacturing line of the composites. It can be used to optimize, part-to-part, the resin consumption by predicting the resin flow through perform. Interestingly, this novel optical method is auto-calibrated and does not depend on picture resolution.

scholarly journals Wavelet Analysis of the Effect of Injection Strategies on Cycle to Cycle Variation GDI Optical Engine under Clean and Fouled Injector

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 817
Author(s):  
Omar I. Awad ◽  
Zhou Zhang ◽  
Mohammed Kamil ◽  
Xiao Ma ◽  
Obed Majeed Ali ◽  
...  
Keyword(s):  
Complex Dynamics ◽  
Control Strategies ◽  
Injection Pressure ◽  
Injection Timing ◽  
Cyclic Variation ◽  
Optical Engine ◽  
Injection Duration ◽  
Cycle Variation ◽  
Short Period ◽  
Injection Strategies

High fluctuation in cyclic variations influences engine combustion negatively, leading to higher fuel consumption, lower performance, and drivability problems. This paper examines the impacts of injection strategies (injection pressure, injection timing and injection duration) on the cyclic variation of gasoline spark ignition (SI) optical engine under clean and fouled injectors. The principal oscillatory modes of the cycle to cycle variation have been identified, and the engine cycles over which these modes may persist are described. Through the wavelet power spectrum, the presence of short, intermediate and long-term periodicities in the pressure signal have been detected. It was noticed that depending on the clean and fouled injector, the long and intermediate-term periodicities may span many cycles, whereas the short-period oscillations tend to appear intermittently. Information of these periodicities could be helpful to promote efficient control strategies for better combustion. The outcomes report that the cyclic variation of the IMEP happens on multiple timescales, and thus, display complex dynamics. As the fouled injector used, mainly intermittent high-frequency fluctuations are recognized.

Moldflow-Based Optimization Design of Gating System in Injection Mold for Automobile Bumper

2014 ◽  
Vol 1061-1062 ◽  
pp. 465-470 ◽  
Author(s):  
Bin Xu ◽  
Zhi Yuan Rui
Keyword(s):  
Design Optimization ◽  
Optimization Design ◽  
Weld Line ◽  
Injection Pressure ◽  
Optimization Method ◽  
Optimum Number ◽  
Injection Mold ◽  
Gating System ◽  
Filling Process ◽  
Filling Time

The gating system of an injection mold for car bumper was studied. A design optimization scheme is proposed to optimize both the number and locations of the gates by analyzing the filling process, in order to reduce the part war page and weld line, numerical simulation of injection mold filling process is combined with the design optimization method to find the optimum number of gates and their locations to achieve balanced f low and less weld lines while satisfying the limit of injection pressure. Moldflow software was applied to make analysis and comparison of various gating system in terms of their filling time, injection pressure and clamp force, weld line and distribution of air traps, and an optimized gating system was obtained. The result shows that this method can effectively reduce costs, shorten development cycle and improve the efficiency of molding design.

Effects of Molding Parameters on MIM’s Material Distribution using Numerical Simulation Method

2012 ◽  
Vol 59 (2) ◽  
Author(s):  
Mohd Fazuri Abdullah ◽  
Abu Bakar Sulong ◽  
Norhamidi Muhamad ◽  
Muhamad Afkar Husin
Keyword(s):  
Injection Molding ◽  
Flow Rate ◽  
Computer Aided Design ◽  
Manufacturing Industry ◽  
Injection Pressure ◽  
Global Market ◽  
Element Analysis ◽  
Percentage Difference ◽  
Filling Time ◽  
Injection Temperature

In the competitive world in the global market, manufacturing industry is striving to produce products at high quality, shorter time and low cost. This can be achieved through proper design activities, with assist of finite element analysis (FEA) and computer aided design (CAD). The objective of this project is to study the effect of the molding parameters on the physical characteristics of surgery tool via MIM based on design of experiment (Taguchi method). This numerical results show the behavior of feedstock entering the mould during injection process and the possibility defects that might occur. The quality of the injected product depends on the selection of the feedstock as well as the parameters for injection molding such as injection temperature (A), mold temperature (B), flow rate (C) and injection pressure (D). From the analysis of Taguchi, the optimal levels of process parameters for the shortest filling time is [A3(200ºC), B1(80ºC), C3(20 cm3/s), D3(260 MPa)]. Set of optimal parameters for the smallest shrinkage percentage difference is [A1(180ºC), B3(100ºC), C3(20 cm3/s), D2(255 MPa)]. The most influence injection molding parameters are injection temperature and injection pressure. Follow by the flow rate.

Evaluation of Diesel Low Temperature Combustion Fuel-Injection Strategies at Different Engine Loads

2010 ◽  
Author(s):  
Usman Asad ◽  
Ming Zheng
Keyword(s):  
Management Strategy ◽  
Fuel Injection ◽  
Injection Pressure ◽  
Combustion Efficiency ◽  
Load Management ◽  
Low Temperature Combustion ◽  
High Hydrocarbon ◽  
Temperature Combustion ◽  
Wall Wetting ◽  
Injection Strategies

High hydrocarbon levels in the exhaust, increased cycle-to-cycle variation and reduced energy-efficiency are typical problems associated with diesel LTC operation. To overcome these challenges, three different fuel injection strategies (late single-injection, early multiple-injections and split-injections) have been investigated on a modified single cylinder common-rail diesel engine. The effects of EGR, boost and injection pressure on the emissions and combustion efficiency have been analyzed. The effect of heavy EGR has been quantified in terms of a trade-off between the combustion phasing and the combustion efficiency. To minimize fuel condensation and wall-wetting with early injections, a criterion for selecting the earliest timing for injection during the compression stroke has also been evaluated. This research is concluded with the formulation of a load management strategy to enable energy-efficient diesel LTC up to 10 bar IMEP.

Numerical and Experimental Study on the Injection Moulding of a Thin-Wall Complex Part

2008 ◽  
Author(s):  
Catalin Fetecau ◽  
Ion Postolache ◽  
Felicia Stan
Keyword(s):  
Injection Molding ◽  
Injection Pressure ◽  
Mold Temperature ◽  
Processing Parameters ◽  
Injection Molding Process ◽  
Thin Wall ◽  
Molding Process ◽  
Complex Part ◽  
Filling Time ◽  
Wall Injection

The research presented in this paper involves numerical and experimental efforts to investigate the relative thin-wall injection molding process in order to obtain high dimensional quality complex parts. To better understand the effects of various processing parameters (the filling time, injection pressure, the melting temperature, the mold temperature) on the injection molding of a thin-wall complex part, the molding experiments are regenerated into the computer model using the Moldflow Plastics Insight (MPI) 6.1 software. The computer visualization of the filling phase allows accurate prediction of the location of the flow front, welding lines and air traps. Furthermore, in order to optimize the injection molding process, the effects of the geometry of the runner system on the filling and packing phases are also investigated. It is shown that computational modeling could be used to help the process and mold designer to produce accurate parts.

CaCO3 Particle-Filled Polymer Composite Manufacturing via RTM Process: An Experimental Investigation

2019 ◽  
Vol 391 ◽  
pp. 30-35
Author(s):  
Iran Rodrigues de Oliveira ◽  
José Vieira da Silva ◽  
E.M. Ascendino Pereira ◽  
Sandro Campos Amico ◽  
A.G. Barbosa de Lima ◽  
...  
Keyword(s):  
Room Temperature ◽  
Polyester Resin ◽  
Injection Pressure ◽  
Carbonate Content ◽  
Physical Parameters ◽  
Fiber Preform ◽  
Rtm Process ◽  
Front Position ◽  
Filling Time ◽  
Closed Mold

Resin transfer molding (RTM) is one technique that has been used to produce polymer composites, which consists in injecting a thermoset pre-catalysed resin into a closed mold containing a dry fiber preform. In this sense, this study aims to investigate the effect of the calcium carbonate content (CaCO3) in the polyester resin during the RTM process. Several experiments were conducted using glass fiber mat molded in a RTM system with cavity dimensions 320 x 150 x 3.6 mm, at room temperature, and different injection pressure (0.75 bar) and CaCO3content (0, 10, 20, 30 and 40%). Results of the physical parameters such as viscosity, permeability, and mobility, and flow front position of the resin into the mold along the RTM process are presented and analyzed. From the results was concluded that the higher the injection pressure and lower CaCO3content into the resin, the lower filling time.

Sign in / Sign up

Export Citation Format

Share Document