Moisture Content Ratio Research Articles

Experimental Investigation and Mathematical Modeling of Microwave Thin Layer Drying Behaviour of Apricot, Kiwi and Mint Leaves

In this study, experimental investigation and mathematical modeling of microwave drying behavior of some vegetables and fruits such as apricot, kiwi and mint leaves are performed. In this regard, a microwave oven is used for experiments and 23 thin layer drying curve equation in the literature are evaluated for mathematical modeling of drying behavior of those products. For this purpose, mass loss and drying time are measured depending on six different microwave powers (100W, 300W, 450W, 600W, 700W, and 800W) and dimensionless mass ratio, moisture content, drying rate and mass shrinkage ratio are estimated and variation of colors are observed. For comparison of equations obtained from modeling, 14 different evaluation criteria are used and the best five drying model are determined. Consequently, it is determined that the most suitable microwave powers were 300W, 600W, 700W and the best drying models are Modified Page, Midilli-Kucuk and Midilli-Kucuk for apricot, kiwi and mint leaves, respectively. Also, it is observed that when the microwave power increases, drying time significantly decreases. However, it is seen that microwave drying method is suitable for drying of kiwi and mint leaves but not suitable for drying of apricot especially at high microwave powers.

Multicomponent Solid Fuel Production Technology Using Waste Water

An assessment is given to the problems of urban wastewater sludge utilization in our country and abroad, with determination of formation and usage level. Global trends in the reduction of carbon dioxide emissions exacerbate the urgency of solving the designated tasks. At the same time, recently, in connection with the EU’s plans to introduce a cross-border carbon levy, it has become necessary to reduce the carbon footprint from burning traditional fuels, which is an urgent problem of modern society. One of the directions that provide a solution to this problem is the replacement of part of the hydrocarbon fuel by the consumption of multicomponent solid fuel based on the use of combustible waste that is part of the multicomponent fuel. This solid fuel can be used to meet the needs of small consumers, for example, in the autumn-summer period to generate a drying agent for the preparation of grain on the threshing-floor, in small boiler houses, in sand drying plants of locomotive depots, heat installations of hangars and workshops, as well as in other heat-generating installations operating on solid fuels. At the same time, solving the problem of reducing the carbon footprint for Belarus is closely related to another urgent task – reducing the energy component of industrial products and the environmental consequences of storing accumulated and generated waste. The paper presents the results of joint scientific research in the field of application of modern technologies and equipment using electrohydraulic treatment to reduce and minimize the level of anthropogenic and polluting substances in wastewater sludge. The described technological equipment, technology and post-treatment modes reduce the content of harmful substances in the wastewater sludge composition even with short-term treatment. An assessment of the effectiveness of the developed technology for the use of sewage sludge is given, using the method of wet multicomponent briquetting to obtain a multicomponent fuel. The presented process flow diagram of multicomponent briquetting using sewage sludge and plant-wood waste directly shows the undeniable advantages of using watered wastewater sludge as a raw material for the production of solid fuel. At the same time, the optimally selected ratio of components and moisture content of the briquetted composition solves a number of technologically difficult problems that cannot be realized using traditional briquetting technologies. The presented data of the conducted research and the developed technology make it possible to expand the area of using wastewater sludge as a secondary renewable material resource.

RETRACTED ARTICLE: Artificial intelligence and machine learning for the green development of agriculture in the emerging manufacturing industry in the IoT platform

This article has been retracted from publication in the Taylor & Francis journal, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science. Following publication, concerns were raised by multiple third-parties around the content of the special issue and the decision-making process. Following an investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief, it was confirmed that this article included in Special Issue titled “ Envisage Computer Modelling and Statistics for Agriculture”, guest edited by Gunasekaran Manogaran was not peer-reviewed appropriately, in line with the Journal's peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue. The journal has not confirmed if the authors were aware of this compromised peer review process. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines.

Study of Thin-Layer Drying Kinetics of Fermented Cocoa Beans (Theobroma Cacao L) Using Semi-Empirical Models: Determination of Effective Moisture Diffusivity and Activation Energy

This study is all about of cocoa beans moisture content behavior and prediction, during drying and experimental determination of effective moisture diffusivity and activation energy of thin-layer. Experiments were carried out on fermented cocoa beans using an oven at 40, 45, 50, 55 and 60°C. Seven semi-empirical models based on the drying kinetics were used for the modeling. This work determined the effective moisture diffusivities and activation energy of cocoa beans using respectively a variable diffusivity model based on Fick's second diffusion law and Arrhenius standard equation. The aim was to obtain the evolution of moisture content in cocoa beans considering temperature, moisture content ratio and time. The results revealed and demonstrated the reliability of some theoretical models with natural drying for temperatures below 45 °C and others with convective hot-air drying for temperatures above 50°C. All of these models seemed to be the most appropriate for describing the type of drying of cocoa beans. Values of the apparent diffusion coefficient are between 2.33275 x 10 -11 m 2 /s and 2.8561 x 10 -11 m 2 /s. The effective moisture diffusivity increases as a function of the drying temperature and decreases as a function of the decrease in moisture content of the product. Values of Do and Ea were estimated respectively as 1.23 10 -6 m 2 /s and 43.56 kJ/mol respectively, in accordance with material and literature. It was observed that, pH values of different cocoa beans samples were between 4.82±0.26 and 5.43±0.41.

A detailed investigation of the temperature-controlled fluidized bed solar dryer: A numerical, experimental, and modeling study

Solar thermal systems are generally utilized for providing sustainable and environmentally friendly thermal energy that can be used in different applications. In the present study, a temperature-controlled fluidized bed solar drying system along with flat plate and plate with zigzag fins has been designed, manufactured, and experimentally tested. In the first step, the thermal behavior of designed solar air collectors has been numerically modeled. In the next step, the drying system’s performance has been experimentally investigated. The overall efficiency of the system was found to be 64%. The maximum exergy efficiency of flat and zigzag plate solar air collectors was calculated as 7.2% and 11.6%, respectively. Then moisture content (MC) and moisture ratio (MR) values were modelled by response surface methodology (RSM), and the predicted results were compared with four metrics. It was found that the drying parameters were highly fitted with the mathematical models. MC metric was predicted with accurate values for performance criteria of R2, R-RMSE, and MBE as 0.9995, 1.94%, and −0.0096, respectively. The general outcomes of numerical, experimental and modeling analyses of this research exhibited successfulness of the developed the fluidized bed solar drying system.

Simulation of biomass and municipal solid waste pellet gasification using Aspen Plus

The work deals with the simulation of biomass and municipal solid waste pellet gasification using Aspen Plus software. The effects of key parameters on the composition of the emitted gas are discussed, including gasification temperature, moisture content, and equivalence ratio. The sensitivity analysis was studied with the Aspen Plus Software, which includes FORTRAN modules. The simulation is validated using experimental results, which revealed that it was roughly correct. Using air as the gasification agent, the sensitivity analysis findings confirm higher temperatures promote syngas production with increased hydrogen and energy content. The simulation results demonstrated that CO2 concentration (3.95%) increases from 450°C to 600°C and then decreased drastically near 0.225kmol/hr. at 900°C. As the gasification temperature rises from 450°C to 900°C, the CO concentration rises and the H2: CO ratio falls. At 900°C, increasing the gasification temperature results in a product gas with more H2 (65%) and CO (12.43%), resulting in a higher calorific value, whereas the contents of CH4, CO2, and H2O followed an inverse correlation. CH4 decreased with temperature because of the formation of exothermic methane reactions. When the gasification process reaches 800°C, all components except CO2 become steady, and gasification reactions were achieved. The equivalence ratio (ER) ranged from 0.2 to 0.3. The gas produced by a gasifier is highly dependent on the ER value. The ER determines the gas quality, and it must be less than 1 to ensure that it gasifies the fuel rather than burnt. Moisture content was 10wt. %, this is an essential parameter for the optimum conditions during the gasification process. Moisture content determines the gas characteristics at the exit phase. The model predictions and calculated values are in good agreement.

Effect of heat moisture treatment on resistant starch content among carbohydrate sources: a meta‐analysis

SummaryResistant starch (RS) can be generated through heat moisture treatment (HMT). The HMT was conducted by modifying starch using different ratio of moisture content, high temperature and heating time. A number of studies showed that the effects of HMT on RS contents in cereals, pulses, tubers and fruits were inconsistent. This study aimed to analyse the impact of HMT on RS level in various carbohydrate sources through a meta‐analysis approach. Study selection was conducted with the PRISMA method. There were 21 relevant studies and 67 data used for meta‐analysis. The database was analysed by using Hedges’ d. The results showed that there was a significant impact of HMT on RS level of cereals, especially wheat. The highest increase in RS levels for various carbohydrate sources in starch was influenced by the interaction of treatment between water content at 15 ≤ x < 25%, heating time at 0.25 < x ≤ 6 h and temperature at 120 ≤ x ≤ 130 °C.

The Effect of w/c Ratio of Compacted Bored Pile to Friction Resistance of Unjani Clay

The small scale physical model of drum type was set-up to obtain the effect of water cement ratio (w/c) to pile capacity and original soil. The simulation of the process of providing bored piles model, soils model, installation and tests (pile loading tests and direct shear tests) under different water cement ratio of mortar and various moisture content of clay were done. The results reveal that the higher water content of original clay the bigger friction resistance, α value as clay soil is softer and the optimum w/c-ratio (w/c = 0,4) provides more pile capacity. It is understandable that water plays an important role, contributes to the change of surrounding clay properties. The improvement of Su ( % increase) due to compaction of concrete in bored pile, migration of moisture and reaction with surrounding clay leads to take benefit of design and construction of bored pile in clay soil for the sake of efficiency and stability.

STUDY ON UTILIZATION OF STONE DUST FOR STABILIZATION OF BLACK COTTON SOIL

Soil stabilization has become a major issue in construction engineering. Due to rapid growth of population and urbanization, there is tremendous increase in construction activities may lead to shortage of land for construction of buildings, roads, etc. The land available may not be suitable for construction activites. The soil may be black cotton, clayey, and loamy. This existing sites not suitable for construction because These soil has less bearing capacity and stability. The present experiment work briefly describes the suitability of local available Stone Dust(SD).The objective of this study to improvement of properties of soil by using of Stone Dust(SD) obtained from stone quarry.It will minimizethe environment harzord also.Different percentage of stone dust mix with black cotton soil. The effect of Stone Dust(SD) on Liquid Limit, Plastic Limit, Plasticity Index, Dry Density, Optimum Moisture Content (OMC) and California Bearing Ratio(CBR) values is tested in laboratory.

Оптимізація режимних параметрів теплоутилізатора котельної установки на основі ексергетичного підходу

Abstract. The results of operating parameters optimization of the air-heating heat-recovery exchanger of complex heat recovery system of a gas-fired boiler designed for heating water and blown air are presented. Air heating in this heat-recovery exchanger is realized by deep cooling of the waste exhaust gases, that is, with a change in their moisture content during the heat recovery process. The possibilities of using a complex technique based on the structural-variant method and exergy analysis methods for the optimization of the heat-recovery exchanger are analyzed. The developed structural scheme of the boiler plant with identification of input and output exergy streams for all elements of the installation is presented. The change of exergy losses in this heat-recovery exchanger has a rather strong effect on the change of the whole heat recovery system efficiency is established. Thus, the optimization of heat-recovery exchanger operating parameters of is a necessary condition for increasing the efficiency of heat recovery in general. The choice of multiplicative exergy efficiency criteria used as target functions of operating parameters optimization of the investigated air-heating heat exchanger is substantiated. The obtained dependences of exergy efficiency criteria on the operating parameters of the heat-recovery exchanger, such as the ratio of the Reynolds numbers of exhaust gases and air and the ratio of the initial and final moisture content of exhaust gases, are analyzed. It is established that the minimum values of the efficiency criteria, which corresponds to the maximum exergy efficiency, is observed in the range of values of the ratio of the initial and final moisture content of exhaust gases in the range from 2.4 to 3.0. It is shown that at a value of the specified ratio of 2.7, the exergy efficiency of the investigated heat-recovery exchanger does not depend on the ratio of the Reynolds numbers of exhaust gases and air. It is established that of initial and final moisture content ratio of exhaust gases, equal to 2.7, and the Reynolds numbers ratio of exhaust gases and air, equal to 0.8 and 1.2, depending on the values of initial and final moisture content ratio of exhaust gases, can be taken as the optimal values of the operating parameters. Key words: heat-recovery exchangers, exergy efficiency, complex techniques

Improved water resource management framework for water sustainability and security

The water resource is an essential field of economic growth, social progress, and environmental integrity. A novel solution is offered to meet water needs, distribution, and IoT-based quality management requirements. With technological growth, this paper presents an IoT-enabled Water Resource Management and Distribution Monitoring System (IWRM-DMS) using sensors, gauge meters, flow meters, ultrasonic sensors, motors to implement in rural cities. Thus, research proposes that the IWRM-DMS establish the rural demand for water and the water supply system to minimize water demand. The system proposed includes different sensors, such as the water flow sensor, the pH sensor, the water pressure valve, the flow meters, and ultrasound sensors. This water system has been developed, which addresses the demand for domestic water in the village. Machine Intelligence has been designed for demand prediction in the decision support system. The simulation results confirm the applicability of the proposed framework in real-time environments. The proposed IWRM-DMS has been proposed to analyse the water quality to ensure water distribution in a rural area to achieve less MAPE (21.41%) and RMSE(15.12%), improve efficiency (96.93%), Reliability (98.24%), enhance prediction (95.29%)), the overall performance (97.34%), moisture content ratio (7.4%), cost-effectiveness ratio (95.7%) when compared to other popular methods.

Effect of different salt concentrations on the growth and biomass of Rhizophora apiculata seedlings

Rhizophora apiculata Blume is very easy species to find and is widely distributed in mangroves. This study was purposed to determine the optimum salinity concentration for mangrove seedling growth as a reference when rehabilitating mangrove forests. The effect of salinity on the growth and development of R. apiculata mangrove seedling roots was carried out in the greenhouse, Universitas Sumatera Utara. This study used five levels of salinity concentration of 0%, 0.5%, 1.5%, 2%, and 3% with 10 replications. Parameter observations comprised of height, diameter, number of leaves, leaf thickness, leaf area, number of main roots, number of lateral roots, main root length, lateral root length, main root diameter, lateral root diameter, canopy water content, root moisture content, and canopy and root ratio. The most parameter of R. apiculata seedlings was at the salinity concentration level of 0.5%.

Pre-harvest oil palm FFB nondestructive evaluation technique using thermal-imaging device

Oil Palm is widely cultivated in Indonesia due to its superior economical value. Currently, oil palm plantations have many challanges, particularly the time of harvesting. Many losses occurred during this process and therefore, they need best harvesting practice to obtain good results. While the quality of oil palm fresh fruits bunch (FFB) (i.e. ripeness) can be determined after harvest, a pre-harvest assessment technique is not present at the moment. In this study, we observe FFBs at four different fruit ages, e.g. 120, 140, 160 and 180 days after anthesis (DAA). A non-destructive evaluation was performed by measuring the FFBs surface temperature using a thermal camera. In addition, the influence of ambient temperature and other environment parameters were observed. Afterwards, the FFBs harvested, and its chemical compositions measured. A model developed to correlate the FFB surface temperature with its ripeness. Results showed that, regression model of the ratio of FFB oil content and moisture content with surface temperature has coefficient of determination of 0.6732. Moreover, when FFB surface temperature was correlated with its carotene content using multiple–regression, the model R2 was obtained at 0.8122. In addition, FFB surface temperature can be used to predicted the FFB age with R2 of 0.8344. This suggests a strong correlation between FFB surface temperature and its age. Furthermore, the ratio of FFB oil content and moisture content with its ripeness, and surface temperature, open the opportunity for a more accurate pre-harvest nondestructive evaluation technique to determine optimum harvest window (OHW) prediction of the bunch. The result delivers a solution of better harvesting practice in oil palm industry.

Dynamics of fabric and dryer sheet motion in domestic clothes dryers

Positron emission particle tracking (PEPT) has been used to investigate the motion of radioactively labeled tracer particles attached to fabrics and solid fabric enhancer (SFE) delivery articles, such as dryer sheets, in the domestic clothes dryer. This work examines the dynamics of motion within the dryer across a range of operating conditions. Six regions within the dryer drum are identified, demonstrating the range of movements experienced by items during tumbling. These show clear correlation with existing flow regimes describing behavior of granular media in rotating drums. Fabric motion is primarily cataracting to maximize the surface area of fabric available to interact with drying air in the falling region, with some conditions moving toward centrifuging or cascading flows. Movement in the axial direction was significantly slower than the primary radial flow. Dryer sheets were more prone to centrifuging than fabrics, with significant time spent in contact with the drum wall. Conversely, a wool dryer ball was more likely to cascade, spending time mixed into the top of a fabric bed which forms in the impact and lifting regions. Behavior in this bed is primarily determined by frictional interactions with the drum wall, which subsequently affects behavior in the 5 remaining regions. The most significant changes to this behavior were observed when changing fabric moisture content and volumetric fill ratio, with wet fabrics and smaller load sizes both exhibiting faster falling speeds and spending more time in the fabric bed. The changes were most significant in the lifting, falling and detachment regions, with varying acceleration and shearing likely to influence both fabric wear and SFE delivery.

The effect of pre-drying methods on physicochemical, textural and sensory characteristics on puff dried Turkey breast meat

The effect pre-drying method in terms of freeze (FD), hot air (HD), and microwave drying (MD), moisture content of turkey breast meat (50%, 40%, 30%, w.b.) prior to puff drying and pre-drying conditions following pressure (15, 20, 25 Pa) for FD, air temperature (65, 70, 75 °C) for HD and power (180, 360, 540 W) for MD was evaluated on puff dried turkey breast meat. Samples that dried with different pre-drying and puff drying were examined physically (moisture content, water activity, bulk density and color properties), chemically (salt, fat, protein and TBARS), texturally (crispness, expansion and rehydration ratio, macro and micro structure, mean pore diameter) sensorially (color, puffing degree, hardness, elasticity, crispness, taste, overall impression). The freeze pre-drying method exhibited smaller porous structure and resulted in low moisture content, water activity, bulk density, high expansion and rehydration ratio after puff drying. The hot air pre-dried samples had larger pore diameters and high elasticity because of higher moisture content and water activity values. The mean pore diameter of the microwave pre-dried products did not affect the rehydration and expansion ratio. Generally, the results showed that freeze pre-drying till 50% moisture content at 20 Pa pressure was the most suitable method.

Spotting ignition of larch (Larix gmelinii) fuel bed by different firebrands

Spot fire increase the difficulty of fire-fighting and threaten public safety, and therefore it is important to study ignition probabilities of fuel bed by different firebrands, in order to understand ignition mechanisms and analyze the formation of spot fires. This will provide an important basis for further study to improve the fire-fighting efficiency and reduce casualties. In this study, the ignition probabilities of larch (Larix gmelinii) fuel beds with different moisture levels and packing ratios by diffreent firebrands, including cones and twigs of different sizes, was investigated. Ignition experiments were conducted at different wind speeds generated by fans. The results show that, regardless of moisture content and packing ratio, ignition probability is zero when there is no wind. Both moisture content and wind speed significantly influence ignition probability, while packing ratio has almost no effect. The maximum moisture content at which firebrand ignition occurred was 50%, and ignition probability increased with wind speed and decreased with moisture content. Cones have the highest ignition probability, followed by large twigs and by small twigs. Ignition probability is also affected by firebrand shapes and sizes that determine their potential heat and contact area to the fuel bed. Two empirical models were established to link ignition probability with fuel properties and wind speed. This study will help clarify the mechanism of spot ignition and reduce corresponding losses.

Mathematical and artificial neural network modeling for vacuum drying kinetics of Moringa olifera leaves followed by determination of energy consumption and mass transfer parameters

Mapping the drying characteristics of biological products is essential for drying time estimation and reduction of energy consumption. The knowledge of mass transfer parameters during different drying conditions is required for process and equipment design and is of great industrial importance. In this work, an Artificial Neural Network (ANN) approach was adopted to model the vacuum drying kinetics of moringa leaves. Levenberg–Marquardt’s training algorithm with LOGSIGMOID and TANSIGMOID hidden layer transfer functions gave superior results for the prediction of moisture content and moisture ratio, respectively. Further, a comparative evaluation of the predictive capability of ANN and 7 different semi-empirical models was performed. The Page model was found suitable to fit the experimental data with a R2 comparable to that of ANN. However, the MSE observed for ANN (1.05 × 10−6) was significantly lower than that of Page model (2.56 × 10-6 to 5.81 × 10-4). Effective moisture diffusivity and mass transfer coefficient increased with increase in temperature from 0.71 × 10-9 to 1.91 × 10-9 m2/s and, 1.07 × 10-7 to 4.07 × 10-7 m/s, respectively. Activation energy for drying of moringa leaves was calculated as 42.84 kJ/mol which showed moderate energy requirements for moisture diffusion. Specific energy consumed was directly affected by drying time and varied from 6.07 to 22.26 kW h/kg. Drying temperature of 60 °C resulted in higher drying rate, lower drying time and energy consumption and therefore, recommended for drying of Moringa olifera leaves.

Cellulases and animal feed production by solid-state fermentation by Aspergillus fumigatus NRCF-122 mutant

A high cellulase-producing fungus was isolated from agricultural waste compost, purified, identified genetically as Aspergillus fumigatus NRCF-122 (accession no. MT318341), and improved by UV-irradiation for cellulase production (named as A. fumigatus mutant-17). Optimal cellulase production conditions were studied using sugar beet pulp “SBP” as the substrate of solid-state fermentation technique. The optimal conditions were: initial moisture content ratio (1:2 w/v), incubation temperature (30°C), initial pH of solid culture (10), incubation period (4 days), aeration area (1:100 ratio ((1%)), SBP substrate weight : flask volume of moistened SBP in a 250 mL Erlenmeyer flask, fungal inoculum (seeding) culture age (3 days) and inoculum size (20%, v/w). Studies were also involved the effect of different nitrogen sources where urea is the best nitrogen source for cellulase production. Concerning the application of bioethanol production from yeast, using rice straw cellulose as a source of fermentable reducing sugars), the lingo-cellulosic waste rice straw was first pretreated (with NaOH 1.5%) to reduce crystallinity of cellulose & removing lignin and other inhibitors, enhancing the subsequent process (saccharification) of rice straw cellulose. Then, its cellulose was saccharified enzymatically by cellulases (produced from SBP as substrate (under SSF condition) as substrate under the optimum conditions) resulting in reducing sugars. one of the largest livestock production operating costs is the feed bill. In our study we evaluated the resulted crude protein content of the fermented SBP and the results declared that, the total digest nutrient (TDN) and gross energy performance were increased, where as crude fiber, acid detergent fiber ADF & neutral detergent fiber NDF were decreased, thereby upgrading the feed quality of biologically treated SBP.

Experimental analysis of CPV/T solar dryer with nano-enhanced PCM and prediction of drying parameters using ANN and SVM algorithms

In this paper, a concentrated photovoltaic-thermal solar dryer (CPV/TSD) using nano-enhanced PCM (Al2O3-Paraffin wax) is experimentally studied. A comprehensive thermodynamic analysis of the system according to the first and second laws is discussed. Besides, the drying parameters (moisture content and moisture ratio) are predicted using the two machine learning algorithms (ANN and SVM) and compared the prediction success with four evaluation metrics (R2, rRMSE, MBE, and rMAE). The overall thermal energy efficiency and exergy efficiency of the CPV/TSD system are found to be 20% and 8%, respectively. Although solar radiation to the environment has decreased a lot, it has been found that the thermal energy transferred to the nano-enhanced PCM prevents the decrease in greenhouse temperature for the first 100 min. In the system, mushrooms are dried from the initial moisture content of 17.45 g water/g dry matter to the final moisture content of 0.0515 g water/g dry matter. Then the drying rate value for CPV/TSD system is calculated to be 0.436 g matter/g dry matter.min. On the other hand, even if both ANN and SVM algorithms have exhibited very satisfying results, ANN is coming to the fore in the prediction of the drying parameters considering all evaluation metrics together.

An Extended Thickness-Dependent Moisture Absorption Model for Unidirectional Carbon/Epoxy Composites.

Moisture absorption tests for materials that exhibit non-Fickian behavior generally require a relatively long period to reach saturation. Therefore, it would be beneficial to establish a relationship between the moisture content and the thickness to minimize the experimental time and cost. This research characterizes the moisture absorption behavior of AS4/8552 carbon/epoxy composites. Specimens were prepared at 4, 8, and 16 plies and immersed in distilled water at 60 °C. The relationship between the non-Fickian parameters (Fickian to non-Fickian maximum moisture content ratio ϕ, non-Fickian diffusivity per square thickness α, and non-Fickian initiation time to) and thickness was characterized using a thickness-dependent model. A comparison with other materials revealed that all three non-Fickian parameters are able to be fitted using a power law. Nevertheless, the upper boundary for the applicability of this model was not determined in this study. The Weibull distribution plots indicate that the probability of non-Fickian moisture absorption is influenced by ϕ and α at approximately 62% within a normalized thickness range of 2–3. In regards to to, it is 82% at a normalized thickness of 6. Therefore, the Weibull distribution is proposed for the assessment of non-Fickian moisture absorption based on the material’s thickness.