Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Yogavardhan Swamy G N, Lavanya K V, Venkatesh
DOI Link: https://doi.org/10.22214/ijraset.2024.65457
Certificate: View Certificate
This research aims at determining the effect of the process parameters namely the vacuum pressure, resin viscosity, temperature and flow rate on formation of voids in the composite manufacturing during resin infusion process. Thus, the study executes controlled experiments and quantitatively examines void content under different parameter configurations to determine that certain conditions substantially reduce voids, improving composite quality. The study reveals that selected vacuum pressure of about 100 kPa, resin viscosity of 200-250 cP at higher temperature and carefully regulated flow rates of 10- 15mL/min help to reduce air bubbles to the barest minimum. These findings provide significant advantages to composite producers on aspects of productivity, mechanical properties and material costs. Similarly, the results indicate the following from secondary research and comparative analysis: Further investigation of real-time void monitoring, exploring advanced optimization with machine learning models. This research is relevant for the enhancement of low-cost and efficient manufacturing techniques in industries that incorporate high-performance composites.
I. INTRODUCTION
High-strength-to-weight ratio and flexibility have made composite materials all pervasive in aerospace, automotive, marine, and wind energy sectors. These usually include two or more other materials which when combined, end up getting properties that those materials do not possess. For instance in aerospace engineering circles composites are used in the body and various parts of aircraft to increase fuel efficiency through weight reduction. Likewise, in the automotive industry, they are involved in manufacturing lightweight automobiles with better performance and safety. Basically, in marine operations and production, composites offer protection from corrosion and fatigue while in wind energy, they offer an opportunity to create light, robust, and energy-capturing blades for wind turbines. The resin infusion process is the most utilized manufacturing technique to build composite structures. This technique involves the use of vacuum or pressure to force a liquid resin into a dry fibrous reinforcement and get the resin to penetrate the fibers thus being filled to the mold. The resin infusion process has the benefit of low cost due to the ability to produce large components from the process with little or no wastage. Furthermore, this method allows for the fabrication of intricate geometries and hence can be applied in a variety of applications. These aspects regarding the flow of the resin and the infusion time also added to the quality of the composite product. However, one of the main problems arising when using resin infusion is void formation; In this method of epoxy production, voids are a critical problem because they hinder the composite part’s functionality and can adversely affect its mechanical properties. Voids are minute and unwanted interconnected spaces or channels within the context of an ideal composite material, which are formed during the infusion step during manufacture. The feature of the presence of voids is always detrimental to the mechanical properties of the composite with inferior strength, stiffness, and durability. Cavities in the fiber can be a result of many things like; the incorporation of air in the mix, inadequate or poor wetting of the fibers, or any mishandling of the resin. This is very important not only because this issue influences directly the performance and the dependability of composite components. Resin infusion process control is vital in improving product quality, increasing productivity, and decreasing the cost of production. If process parameters are evaluated and fine-tuned consistently, then manufacturers can reduce void formation and produce high-quality composites. The main goal of this investigation is to determine and characterize the main process parameters that cause void formation during resin infusion to look for the best conditions that control the levels of voids.
This is significant for this research to be carried out because this contributes to the development of manufacturing methods within composites particularly the composite industry enhancing competitiveness and performance of composites. Manufacturers and product developers can put into immediate use the information found in this study as practical tools given the real industrial setting of this study with a view of improving the quality as well as reliability of composite products with little or negligible effect on cost.
II. LITERATURE REVIEW
A. Overview of Resin Infusion Techniques
The resin infusion processes are critical in composite manufacturing to improve the efficiency of composite material production [1]. Two of the most common processes being used today include the Vacuum-Assisted Resin Transfer Molding also known as VARTM and the Seemann Composites Resin Infusion Molding Process also known as SCRIMP.
Figure 1: Void Formation Mechanism in LCM Process
VARTM refers to a process whereby dry fiber preforms are first positioned in a mold before being vacuumed. This develops a pressure difference that pulls the liquid resin through the fiber reinforcement, thereby wetting the fiber reinforcement uniformly well and free of voids. Parameters which influence the VARTM process are vacuum pressure, resin viscosity and infusion rate, and fiber direction [2]. Variations of these parameters have considerable influence on the quality of the final composite, especially with regards to minimizing the presence of voids.
Figure 2: Stages in the Resin Infusion
SCRIMP, however, uses the principles of vacuum infusion integrated with flexible bagging. This method uses a selectively permeable fabric, which serves as the resin distribution medium and prevents air from getting trapped into the laminate. SCRIMP affords final control over the flow of resin and the pressure which is essential for achieving the nondirectional flow of resin through the fiber preform [3]. The main factors that affect the SCRIMP process include the kind of resin, the viscosity of the resin and the design of flow media.
Both techniques require meticulous control of process parameters to achieve the ultimate goal of efficient infusion process and substantial reduction of defects such as voids in the final composite part.
B. Void Formation Mechanisms
Void formation is an extremely complicated phenomenon in resin-infused composites and depends on a number of factors. Some include; entrainment where air gets trapped within the resin during infusion [4]. This usually happens when the resin has the tendency to rush through the mold and discourages the right contact between the resin and the fibers.
Figure 3: Multi Objective Optimization of Resin Infusion
Resin flow is also another factor that has a bearing on void generation and this is made-from the dynamics of the two components. This is because where the resin does not flow across the fiber architecture properly, areas of the composite will not fill, resulting in voids. Temperature changes during the infusion process have an impact of the viscosity of the resin, and the flow of the resin [5]. For example, temperature has an effect on viscosity – viscosity decreases as temperature increases and that’s why this beats fiber wetting. Nonetheless, if a wide temperature range is used during the curing process, then problems of uneven curing and possibility of void formation may occur.
Figure 4: Numerical Study of Vaccum Resin Infusion
Moreover, resin viscosity has a large effect on void formation – higher viscosity resins may not flow effectively and can produce voids. This has been established that the kind of resin selected also has an impact on the type of voids and that void content is not the result of the resin’s viscosity. Another factor that defines the infusion pressure plays an essential role in void formation. Inadequate pressure results in partial wetting of the fiber preform by the resin; various degrees of pressure guarantee proper wetting and no voids [6]. Research has shown that this is possible to maintain a minimum infusion pressure in order to minimize void content in VARTM processes.
C. Effects of Voids on Composite Properties
The existence of voids in the composite material is negative for its mechanical characteristics and for its functional behaviors. Several publications explain the relationship between the amount of void content and mechanical properties of the composites. For instance, this has been documented that an increase in the void content from 1.0 % to 5.0 % led to decrease in tensile strength of the composite by about 20%. Perhaps the most crucial and evident flaws associated with the application of voids are the subsequent diminishment of the load-bearing capacity of the emerged composites apart from hundreds of stress concentrators to start and perpetuate crack development under load [7].
Figure 5: Multi Objective Optimization of Resin Infusion
Also, voids affect the fatigue strength Additionally, other mechanical properties of the composite are affected by voids. Several works have shown that composites with increased void concentration as a result of using cheaper reinforcing materials for production yield lower composite coefficients of fatigue resistance because of stress concentrations [8]. Stress and strain relaxations have also been shown in the literature to be related to the void fraction of composites where composites having more than 3 % void volume have been reported to exhibit a vast reduction in fatigue life, thus underlining a paramount importance of a careful control of void content in manufacturing processes.
Moreover, voids have an effect on the overall durability of the composites. These features can result in the penetration of moisture into the structure, and, therefore, affect the mechanical characteristics of material during its use. This is especially important in applications that are exposed to fluctuating environments, for examples aerospace and marine applications that may experience severe losses due to failure of the material [9].
Figure 6: Schematic Showing Interlaminar Void
D. Influence of Process Parameters on Void Formation
1) Vacuum Pressure: Studies show that high and low variations of vacuum pressure levels actually play an important role in the formation of the void. Greater vacuum pressure increases the push pressure within the resin and can also increase fiber volume fraction. From 40 kPa to 80 kPa the vacuum pressure was increased and this was observed that the voids calculated in percent were decreased by 30 percent [10]. This has provided the basis to endeavor to create the right vacuum conditions to avoid as much as possible creation of voids during the infusion process.
Figure 7: Resin Film Infusion
2) Resin Viscosity and Flow Rates: This study therefore focuses on an understanding of the interaction between resin viscosity and flow rates in relation to voids. Lower viscosity resins improve flow and promote wetting of fibers to a greater extent [11]. On the other hand, high viscosity of resin can negatively affect flow and thus increases void content. Preventing the increase of resin temperature before the infusion process would therefore help to reduce the viscosity and increase flow rates to further eliminate voids.
3) Temperature Control and Curing Conditions: During the infusion and the cure stages, a good control of temperature aids towards reduction of voids. This is because different parts of the composite structure require thermal profiles to be controlled for resin to reach the right viscosity for infusion [12]. This research reveals that preservation of curing temperatures within a particular optimum range can strongly improve performances of the resin in terms of its ability to infiltrate the gaps and voids in the fiber reinforcement.
Figure 8: SCRIMP Composite Manufacturing
E. Existing Optimization Techniques
Various optimization strategies have been employed in resin infusion process with regard to minimum void content [13]. Optimization of process conditions is achieved through process adjustment, and this is done through modeling exercises. Resin transfer molding is a well-liked simulation modeling process to anticipate the flow characteristics of resin and locate the areas having voids within the composite structure to make timely adjustments.
This has been established that Design of Experiments (DOE) has also been useful in studying the impact of several factors on void content where important factors and their interactions can be determined [14]. These approaches deepen the knowledge on the integration process and help manufacturers reach ideal composites quality.
Figure 9: Multi Objective Optimization
F. Gaps in Literature
Nevertheless, a number of limitations can still be identified in current literature on resin infusion processes [15]. However, the real-time monitoring of void formation in the infusion process seems to be given limited attention. A combination of applying high-tech methods to image producing and using machine learning can help identify dynamics of void formation, using which, producers could make adjustments in real time to rectify the problems occurring during thin film deposition [16]. Also, some studies are required that can determine voids on the performance of composites over the long-term and under different environmental conditions which can improve the correct estimate accuracy of mathematical models.
Figure 10: Schematic of the Resin Infusion
III. METHODS
A. Experimental Design
B. Sample Preparation
C. Techniques Employed in Secondary Research
D. Void Detection and Measurement
IV. RESULTS
A. Presentation of Results
The aim of the current study was to determine the best value for resin infiltration times to ensure that void content levels in composite manufacturing remains as low as possible. Experimental results from the experimental trails and bibliographic search results were used to evaluate the impact of vacuum pressure, resin viscosity, temperature, and flow rate on void formation. The results are put alongside tables that aggregate the effects of these parameters whereby void content trends are depicted as these parameters are adjusted. Further, the analysis of variance applies, based on ANOVA that confirms the impact of these parameters on the decrease in voids and suggests possible directions for improving the understanding of an in-depth optimal set of parameters.
Table1: Summary of Process Parameters and Void Content Results
Parameter |
Range Examined |
Average Void Content (%) |
Notes |
Vacuum Pressure |
80–100 kPa |
3.5–1.2 |
Higher pressure reduced voids |
Resin Viscosity |
200–400 cP |
2.8–1.1 |
Lower viscosity minimized voids |
Temperature |
20–60 °C |
3.0–1.3 |
Higher temperature reduced voids |
Flow Rate |
5–20 mL/min |
3.2–1.0 |
Moderate flow minimized voids |
B. Analysis of Experimental Data
1) Vacuum Pressure Effects
This was also noted that variations in vacuum pressure had a direct bearing on the void content obtained. Greater vacuum pressure enhanced the rates of air removal from between the composite layers; hence, less voiding. Table 2 shows the correlation between vacuum pressure and void content The graph shows that the number of voids decreases to as low as the 100kPa.
Table-2: Effect of Vacuum Pressure on Void Content
Vacuum Pressure (kPa) |
Average Void Content (%) |
Observations |
80 |
3.5 |
High void content |
85 |
3.0 |
Moderate reduction |
90 |
2.5 |
Noticeable improvement |
95 |
1.8 |
Significant reduction |
100 |
1.2 |
Optimal, lowest void content |
The findings further show that 100 kPa vacuum pressure offered the best outcomes on the void content front. This may be attributed to better evacuation of the air trapped within the curing process leading to better dispersion of the resin in the composite material.
2) Resin Viscosity and Temperature Effects
Reduced viscosity of the resin along with the increase in the temperature of cure, secluded a very low amount of void content due to the enhanced flow of the resin. The combined effect of resin viscosity and temperature for void formation is reviewed in Table 3, where, fortunately, an intermediate resin viscosity of 200 cP at a temperature of 60°C is ideal for the formation of voids.
Table-3: Influence of Resin Viscosity and Temperature on Void Content
Resin Viscosity (cP) |
Temperature (°C) |
Average Void Content (%) |
400 |
20 |
3.0 |
300 |
40 |
1.8 |
250 |
50 |
1.5 |
200 |
60 |
1.1 |
These results indicate that lowering the viscosity of the resin, but particularly when taken to a temperature of approximately 60°C further improves the flow of the resin and its resistance to air and hence minimises void formation.
3) Flow Rate Influence
Flow rate is another factor which is of significance to achieve a void free structure. Upper flow rates described turbulence and increasing air pockets, whereas lower flow rates ensured proper resin distribution on the fiber structure. In table 4, the effect concerning diverse flow rates regarding void content is represented, and the flow rate range between 10 and 15 mL/min has been deemed as the most favourable one.
Table-4: Effect of Flow Rate on Void Content
Flow Rate (mL/min) |
Average Void Content (%) |
Observations |
5 |
3.2 |
Uneven resin distribution |
10 |
1.5 |
Optimal, lowest voids |
15 |
1.0 |
Consistent reduction |
20 |
2.2 |
Increased turbulence |
Flow rates of 10 – 15mL/minute were chosen so as to allow an even distribution of the resin while eliminating the formation of voids and air bubbles.
C. Secondary Research Correlation
These results align with secondary literature especially in relation to vacuum pressure and resin viscosity implications. They also established from the secondary sources that high vacuum pressure and low viscosity of the resin lowers the void content in the composite and flow rate the minimizes the amount of air trapped in the mold. Table 5 also revealed the statistical significance of these parameters by ANOVA analysis where as vacuum pressure and resin viscosity has relatively higher influence.
Table-5: Statistical Analysis (ANOVA) of Parameter Effects on Void Content
Parameter |
Effect Size |
Significance (p-value) |
Vacuum Pressure |
-0.78 |
<0.01 |
Resin Viscosity |
+0.65 |
<0.05 |
Temperature |
-0.45 |
<0.10 |
Flow Rate |
-0.52 |
<0.05 |
These values also bear info that further strengthens the opinion that vacuum pressure and resin viscosity greatly influence the reduction in void content, and therefore must be controlled.
D. Optimal Parameter Set Identification
From the analysis, an optimal parameter set is recommended to reduce the percentage of void in resin infusion process. These conditions give the least volume of void content while at the same time giving the highest mechanical properties of the composite material as shown in table 6.
Table-6: Proposed Optimal Parameters for Minimizing Void Content
Parameter |
Optimal Range |
Observed Void Content (%) |
Vacuum Pressure |
95–100 kPa |
1.2% or lower |
Resin Viscosity |
200–250 cP |
1.1% |
Temperature |
50–60 °C |
Lower viscosity achieved |
Flow Rate |
10–15 mL/min |
1.0% |
These conditions provide the best reference model for controlling void content in manufacturing composites, maximising the quality and lifespan of resin infused composites.
Resin infusion processes play an optimization role in making composite manufacturing not to have a high void content. An experimentally determined course of void contents again proves that vacuum pressure, resin viscosity, temperature, and flow rate all contribute to eliminating voids. If these parameters are kept to optimum levels, chances of a large number of defects in the otherwise perfect composite material are considerably reduced and therefore increasing the durability of the final product.
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Copyright © 2024 Yogavardhan Swamy G N, Lavanya K V, Venkatesh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET65457
Publish Date : 2024-11-22
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here