Solution Method Research Articles

VARIATIONAL-DIFFERENCE SOLUTION OF DEFORMATION AND BUCKLING PROBLEMS OF ELASTOPLASTIC SHELLS OF REVOLUTION WITH ELASTIC FILLER UNDER COMBINED QUASI-STATIC AND DYNAMIC AXISYMMETRIC LOADINGS

The paper suggests a formulation and method for a numerical solution of deformation and buckling of elastoplastic shells of revolution with elastic filler under quasi-static and dynamic loadings. The problem is solved in a two-dimensional plane or generalized axisymmetric formulation with torsion. The governing system of equations is written in a Cartesian or cylindrical coordinate system. Modeling of deformation of an elastic-plastic shell is carried out based on the hypotheses of the theory of shells of the Timoshenko type, taking into account geometric nonlinearities. Kinematic relations are written in velocities and formulated in the metric of the current state. The elastoplastic properties of the shell are described by the flow theory with nonlinear isotropic hardening. Filler modeling is based on continuum mechanics hypotheses. The filler material is assumed to be linearly elastic. The variational equations of motion of structural elements (both shells and filler) are reduced from the three-dimensional equation of the balance of virtual powers of the work of continuum mechanics taking into account the accepted hypotheses of the theory of shells or a flat deformed state or generalized axisymmetric deformation with torsion. The modeling of the contact interaction between the shell and the filler is based on the condition of nonpenetration along the normal and slippage along the tangential. The finite-difference method and an explicit time integration scheme of the cross type are used to solve the defining system of equations. Approbation of the technique was carried out on the problem of buckling of a steel cylindrical shell with an elastic filler under quasi-static and dynamic compression by an external pressure that linearly increases with time. The results of the numerical study are compared with calculations performed using two other approaches developed earlier by the authors. The first approach is based on full-scale modeling of the process of deformation of the shell and filler within the framework of continuum mechanics. In the second approach, a simplified formulation is used, in which the deformation of the shell is modeled according to the hypotheses of the theory of non-sloping shells of the Timoshenko type taking into account geometric nonlinearities, and the filler is modeled according to the Winkler foundation hypothesis. The developed approaches make it possible to model the nonlinear subcritical deformation of shells of revolution with an elastic filler, to determine the ultimate (critical) loads in a wide range of loading rates taking into account geometric shape imperfections, to study buckling in axisymmetric and non-axisymmetric shapes under dynamic and quasi-static combined loadings in plane and axisymmetric deformations.

SPECTRAL METHODS FOR SOLVING DIFFERENTIAL AND FUNCTIONAL EQUATIONS

The operator approach previously developed for the spectral method using Legendre polynomials is generalized here to any systems of basis functions (not necessarily orthogonal) that satisfy two conditions: the result of the operation of multiplication by x or differentiation with respect to x is expressed in the same functions. All systems of classical orthogonal polynomials meet these conditions. In particular, a spectral method utilizing Chebyshev polynomials is constructed, which is most efficient for numerical calculations. This method is applied for the numerical solution of linear functional equations that arise in generalized series summation problems, aswell as in problems of analytic continuation of discrete mappings. It is also shown how these methods solve nonstandard and nonlinear boundary value problems for which conventional algorithms are not applicable.

Large Deflections, Loss of Stability and Over-Critical Behavior of Sloping Panels and Arches of Variable Thickness on an Elastic Base

The problem of large deflections of a flat arch in its plane (or an infinitely long panel) loaded with transverse loads is considered. A variational approach has been applied to solve it. The resolving nonlinear equations are reduced to finding the deflection and longitudinal force, which is considered constant along the length of the arch due to its flatness. An approximate solution method is proposed by decomposing the displacements into a Fourier series. The peculiarity of the approach used is that in order to pass the limit points, it is not necessary to use special algorithms such as the continuation method by parameter. It also allows you to trace the process of supercritical deformation of the arch. The proposed approach allows us to consider problems for arches of variable thicknesses, located on elastic supports, on an elastic base with a variable bed coefficient and various loads. Therefore, it is also convenient in problems of finding, for example, the optimal thickness distribution under restrictions on critical loads, on rigidity stiffness and on maximum compression or tension stresses. The results of numerical calculations are presented. The convergence is studied of the solution depending on the number of terms of the series, into which the desired deflection decomposes. A good agreement with the known analytical results is obtained earlier by solving the equilibrium equations of the arch element and panel in the case of simple types of loading. At the same time, even in more complex cases of loading and supercritical bending of an arch without an elastic base, the results are obtained when holding three, four and five members of the Fourier series, the maximum deflections and critical loads differed by no more than 2.5%. On the basis of numerical experiments, the features of the arch behavior caused by the rearrangement of geometry during loading are revealed. The processes of stability loss of the arch and its supercritical behavior are investigated. The effect of symmetric deformation in the case of kinematic loading is found, namely, it is revealed that at a certain value of the concentrated force, an infinite number of equilibrium forms are possible. Arches on an elastic base, as well as with variable thickness are considered (the results are presented in the form of load–displacement diagrams and in the form of pictures of deformed arch shapes). An interesting effect has been revealed based on numerical experiments. It turned out that the increase in thickness when moving away from the supports does not change the nature of the load–displacement diagram, i.e., with some load, a slap occurs. On the contrary, a decrease in thickness when moving away from the supports leads to a flattening of the diagram, and after a certain thickness value in the center, its further decrease leads to the fact that the arch does not occur.

A Parametric Six-Step Method for Second-Order IVPs with Oscillating Solutions

In this paper, we develop an explicit symmetric six-step method for the numerical solution of second-order initial value problems (IVPs) with oscillating solutions. The proposed method is phase-fitted and incorporates a free coefficient as a parameter to optimize its performance. By exploring a wide range of values for this parameter, we computationally determine the periodicity interval. The objective of this procedure is to identify the range of the parameter’s values for which the method remains stable. Based on the output from the periodicity interval analysis, we then aim to define the optimal values for the parameter by numerically solving three initial value problems. The results guided us in identifying these optimal values and confirm the high efficiency of the new method. The method’s efficiency is further validated for the chosen optimal parameter value for specific oscillatory problems, where it is compared with well-known phase-fitted methods.

Improving Crude Oil Tank Inventory Stock Availability Through Compact Solution Method to Ensure National Fuel Supply Security at PT Kilang Pertamina International Unit VI Balongan

PT Pertamina International Refinery Unit VI Balongan plays a crucial role in maintaining national fuel oil (BBM) and special fuel (BBK) supply resilience. However, challenges such as declining crude oil storage capacity due to tank damage and limited space threaten the continuity of refinery operations and the stability of national energy supply. This study aims to address this issue by implementing the compact solution method to enhance crude oil stock availability and secure the national fuel supply. Using a quantitative approach with descriptive methods, the research collected data through observation, document review, and literature study. The data were analyzed qualitatively to assess the impact of the compact solution method. The results indicate a significant improvement in crude oil stock availability, which increased from 60.14% (using the off-stream repair method) to 72.9%. Additionally, the tank level was successfully increased to a maximum of 13,990 mm, adhering to API 650 or API 579 FFS Level 3 standards. This improvement extends the operational lifespan of the tank to 62 years, reducing maintenance costs and ensuring uninterrupted refinery operations. The findings highlight the effectiveness of the compact solution method in addressing crude oil tank capacity issues and securing national energy resilience. These results provide valuable insights for energy sector stakeholders in optimizing crude oil storage and refinery operations while minimizing repair costs and downtime.

The Effect of CoCoSo Method on the Ranks of Alternatives: A Case Study of Copper Electrical Wire Selection

When using MCDM (Multi-Criteria Decision-Making) methods to rank alternatives, decision makers’ opinions have a huge influence on the ranking results. The decision makers’ opinions can vary depending on the chosen MCDM method, data normalization method, and weighting method. For some MCDM methods, during the application process, users also need to choose the value of a certain coefficient (called the user coefficient). Obviously, the value of the user coefficient depends on users’ opinions, and of course, these opinions can affect the ranking of the alternatives. In this article, the effects of users’ opinions on the ranks of the alternatives when using the CoCoSo (Combined Compromise Solution) method are investigated. Users’ opinions (including the weighting criteria method and the user coefficient) are considered the input of the investigation process. Organizing the investigation of the effects of these two parameters on the ranks of alternatives was applied to the case of copper electrical wire selection. The results show that the users’ opinions have little effect on the ranks of alternatives. This result confirms CoCoSo's outstanding advantage.

Train assignment and handling capacity arrangement in multi-yard railway container terminals: An enhanced adaptive large neighborhood search heuristic approach

Expanding terminal scale and constructing multiple railway handling yards have become popular strategies for leading railway container terminals globally to cope with the ever-increasing handling volume. Although such an approach greatly enhances the terminal’s productivity, it also intensifies handling operations and introduces additional inter-yard interactions, complicating terminal management. To address these challenges, this paper investigates an integrated optimization approach for multi-yard railway container terminals, which feature both rail-road and rail-rail container transshipment operations. The train assignment plan for each yard and the handling capacity arrangement for each train are jointly optimized while considering inter-yard container transits, workload allocation for yards, and safety requirements in train shunting. This problem is formulated as a nonlinear programming model, with the objective to minimize operational delay and service time for each incoming train, and to minimize workload differences and container transit volume among yards. To efficiently solve this problem, this research develops an enhanced adaptive large neighborhood search (EALNS) heuristic, which includes several customized operators and feasibility repair methods, and is further enhanced with a local search method and backtracking mechanism compared to the standard ALNS framework. Computational experiments with different data scales and problem settings demonstrate the superiority of the EALNS in terms of solution quality and stability compared with three other solution methods. Additionally, practical insights for terminal operations are drawn through detailed analysis of different infrastructure configurations, transshipment train characteristics, and unit cost settings.

Coupled Alternating Neural Networks for Solving Multi-Population High-Dimensional Mean-Field Games

Multi-population mean-field game is a critical subclass of mean-field games (MFGs). It is a theoretically feasible multi-agent model for simulating and analyzing the game between multiple heterogeneous populations of interacting massive agents. Due to the factors of game complexity, dimensionality disaster and disturbances should be taken into account simultaneously to solve the multi-population high-dimensional stochastic MFG problem, which is a great challenge. We present CA-Net, a coupled alternating neural network approach for tractably solving multi-population high-dimensional MFGs. First, we provide a universal modeling framework for large-scale heterogeneous multi-agent game systems, which is strictly expressed as a multi-population MFG problem. Next, we generalize the potential variational primal–dual structure that MFGs exhibit, then phrase the multi-population MFG problem as a convex–concave saddle-point problem. Last but not least, we design a generative adversarial network (GAN) with multiple generators and multiple discriminators—the solving network—which parameterizes the value functions and the density functions of multiple populations by two sets of neural networks, respectively. In multi-group quadcopter trajectory-planning numerical experiments, the convergence results of HJB residuals, control, and average speed show the effectiveness of the CA-Net algorithm, and the comparison with baseline methods—cluster game, HJB-NN, Lax–Friedrichs, ML, and APAC-Net—shows the progressiveness of our solution method.

Model test study on the rainfall erosion mechanisms and reclamation potential of open-pit coal mine dump soil improved by fly ash and polyacrylamide

Increasing the soil erosion resistance is one of the core issues in slope erosion control and ecological environmental restoration of open-pit coal mine (OPCM) dumps. In this study, fly ash (FA) and polyacrylamide (PAM) were used to improve the soil quality of an OPCM dump, and an indoor physical model was constructed to investigate the water and soil loss characteristics of the improved soil via simulated rainfall experiments. Scanning electron microscopy and Pore and Crack Analysis System software were employed to systematically investigate the erosion resistance mechanisms of the improved soil qualitatively and quantitatively. Finally, the improved technique for order preference by similarity to an ideal solution (TOPSIS) method was adopted to evaluate the reclamation potential of the improved soil. The results revealed that under the action of PAM (PAM and PAM–FA), the average erosion rate of the slope decreased by more than 90 %. Compared with that in the control group, when FA was applied alone, the slope erosion rate first decreased and then increased with increasing FA content. Upon PAM addition, the erosion pattern changed from the splash erosion stage, cave erosion stage, gully erosion stage, and tensile slip stage to the splash erosion stage and cave erosion stage. However, no obvious change in the runoff pattern. Erosion and runoff patterns are generally affected by the amendment type, addition concentration, porosity, pore shape, pore direction and hydrological environment. The erosion resistance mechanism of the improved soil entailed the formation of more stable soil aggregates via filling, cementation, skeleton support generation, and flocculation of FA and PAM. In addition, the optimal soil improvement was achieved when FA and PAM were added at levels of 16 % and 0.01 %, respectively. The obtained research results could be used for erosion control and ecological environmental protection of coarse-grained soil slopes in mining areas, highways and other fields and could be widely applied.

Investigation and optimisation of performance and emission data of CI engine ternary blends under distinct conditions

This study investigates the significance of isoamyl alcohol (IAA) in a CI engine by blending with watermelon seed biodiesel (WSB) at preheating and varying load, injection timing (IT), and exhaust gas recirculation (EGR). Adaptive-Network Based Fuzzy Inference Systems (ANFIS), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods were employed to analyze the test results. From statistical indices data, the ANFIS models predicted more accurately. TOPSIS technique confirmed the preheated optimum ternary blend (POTB) as load-12 kg, WSB-5 %, IAA-15 %, IT-25° bTDC, and EGR-21 %. The closeness coefficient values model R2 = 0.9736. In comparison to diesel, thePOTB blend (WSB5IAA15) offers lower viscosity, density, CN, and heating value, with higher oxygen and latent heat of vaporization (Lv), most of which contribute to improved atomized spray and better combustion. Hence, at load-80 %, POTB to diesel results decrease BTE by 0.11 %, CO by 25 %, CO2 by 16.39 %, NOx by 37.08 %, and smoke by 16.16 %, while increasing BSEC by 0.40 %, and HC by 39.83 %. Further, at load-100 %, the results of POTB to diesel diminish BTE by 2.12 %, CO by 14.29 %, CO2 by 32.89 %, NOx by 58.12 %, and smoke by 38.13 %, while elevating BSEC by 7.57 %, and HC by 31.30 %. IAA exhibits elevated levels of oxygen, energy density, Lv, and OH active radicals, accompanied by reduced heating value and CN. IAA is crucial in lowering NOx and smoke levels, which are difficult for WSB to control on its own. Lastly, plots are illustrated for each response parameter to dominant (EGR and WSB) concerning ternary blends and diesel data for specific conditions. Ultimately, the POTB demonstrated that it can serve as an effective diesel fuel substitute.

Gelatin microcarriers as an effective adipose-derived stem cells delivery strategy in osteoarthritis treatment

Despite their clinical success, stem cells (SCs) in the treatment of osteoarthritis (OA) are limited by lower retention efficiency and restricted paracrine function. The development of effective SCs culture and delivery systems to maintain or promote SCs paracrine function is urgently needed. In this study, we focused on gelatin microcarriers with different sizes as SCs culture scaffold for OA therapy. The effect of culturing adipose-derived stem cells (ADSCs) on different size microcarriers (180 μm and 320 μm) to promote paracrine function was evaluated. The secretome of ADSCs cultured on microcarriers more effectively regulated macrophages and chondrocytes in a direction favorable to OA healing compared to culture plates. In particular, microcarriers with ADSCs effectively reduced the coefficient of friction at the cartilage interface. Injection low-dose ADSCs without and with different size microcarriers into the knee joints in rats' OA model was achieved. Even better OA therapeutic effects were achieved by using smaller size (higher curvature) microcarriers to deliver ADSCs at low doses. Microcarrier-based cell delivery strategies offer potential solution method for OA therapy.

Rotating machinery flow field prediction based on hybrid neural network

ABSTRACT The flow phenomena in fluid machinery such as pumps, wind turbines and turbines are complex. For large-scale engineering problems, the computational resources required to solve the Navier-Stokes(N-S) equation are large. In order to solve this problem, a fast and accurate solution method based on hybrid neural network (Convolutional Neural Network – Long Short-Term Memory) is proposed. The nonlinear mapping relationship between the flow field characteristics of rotating machinery and the eddy viscosity coefficient is constructed. The deep learning model is used to replace the RANS standard k-ϵ model, and the eddy viscosity coefficient distribution cloud diagram of rotating machinery is obtained. The results show that the predicted value of the eddy viscosity coefficient of the hybrid neural network model on different slices is in good agreement with the original value and the error is small. Compared with traditional machine learning models such as random forest model, hybrid neural network model takes up only 11.4% of memory, and the accuracy is much better than the random forest model. The hybrid neural network model proposed in this paper has great potential in the prediction of the flow field of rotating machinery.

A data-driven optimization model for the scattered storage assignment with replenishment

Modern warehouses are transitioning from pure storage facilities to order fulfillment centers. To improve order-picking efficiency, picking areas are restricted to small zones to save picker travel distance and thus can only store a limited quantity of SKUs. As a result, replenishment must be frequently carried out which not only causes intensive working efforts but also impacts the order-picking efficiency. Despite of the important role of replenishment, it has been seldom considered in storage assignment planning. This paper proposes a novel optimization model for the storage assignment problem considering both the order-picking and replenishment operations. Instead of the traditional first-extract-then-optimize paradigm, we develop an effective solution method for the problem by integrating the extraction and optimization steps together to avoid the loss of information. Intensive experiments and a case study are presented, the results of which indicate significant advantages of our model against the state-of-the-art counterpart. Several managerial implications are derived: (1) Order data implies substantial useful information for storage assignment planning, including but not limited to the demand correlation of products; (2) The replenishment efforts are intensive and negatively correlated to the order-picking efforts, which therefore should not be neglected in storage assignment planning; (3) To minimize the total working efforts, the optimal replenishment level r of the (r,S) replenishment policy should be more than 0.4S but less than 0.6S with respect to each SKU.

Sub/Super Solutions Methods for a Class of Fractional Laplacian Systems

Sub/Super Solutions Methods for a Class of Fractional Laplacian Systems

Colorimetric ammonia-sensing nanocomposite films based on starch/sodium alginate and Cu-Phe nanorods for smart packaging application

The development of colorimetric ammonia-sensing smart packaging materials with real-time freshness detection ability are crucial for ensuring food safe. This research involved the construction of Cu-based framework (Cu-Phe) nanorods with colorimetric ammonia-sensing ability through an easy-to-perform aqueous solution method, and their subsequent utilization as nano inclusions in starch/sodium alginate (ST/SA) substrate to foster the creation of high-performance smart packaging materials. Research findings revealed that the addition of Cu-Phe nanorods (3, 6, 9 wt%) within ST/SA substrate led to the formation of compatible nanocomposite films with significantly augmented physical performance and functionality. Especially, the film containing 9 wt% Cu-Phe presented the highest tensile strength (30.32 MPa), elongation at break (19.12 %), UV-shielding efficacy (blocking >99 % of UV passage), water vapor barrier effectiveness (1.90 × 10−6 g/m·h·Pa) and oxygen barrier ability (2.26 × 10−3 g/m2·s). In addition, the developed ST/SA/Cu-Phe nanocomposite film possessed excellent antibacterial activity (over 99.9 %) against Escherichia coli and Staphylococcus aureus, superior colorimetric ammonia-sensing ability, and long-term colour stability. Also of note, the Cu-Phe added ST/SA nanocomposite film allowed for detecting prawn and pork freshness reduction in real-time via discernible colour transition, suggesting its extensive promise for smart packaging applications.

Strategic approaches to crisis management: The global challenges of the pandemic on the Turkish container shipping industry

The Covid-19 pandemic has posed significant challenges to the sector, and Türkiye’s strategic location plays a crucial role in crisis management. This study aims to explore the repercussions of the pandemic on the sector and propose appropriate solutions. To identify the most effective solutions for prioritizing the challenges posed by Covid-19, 53 sector experts participated in the study. The Stepwise Weight Assessment Ratio Analysis method was used to weigh the criteria representing these challenges. The solutions were ranked using the Weighted Aggregated Sum Product Assessment and Combined Compromise Solution methods. The results indicate that the primary challenge is the increased shipping cost, followed by the prolongation of the transport time, global-scale impacts, and port congestion. The most appropriate solution identified was alternative vessel loading, followed by mixed-mode transportation usage, reservation guarantees, long-term contracts with shipping operators, integrated logistics services, container purchases, and technological integration

Designing Healthcare Organisations For Excellence: Improving Bed Management Process And Strategies To Reduce The Turn Around Time

Background Bed management in a hospital is the process of ensuring that every bed is used optimally, while also providing quality care and efficient treatment. It involves allocating beds, tracking bed availability, managing patient flow, improving patient care and improving clinical staff efficiency. The process by which patients are admitted against any hospital bed, and when they are discharged and the bills are cleared, the bed is cleaned and allotted to the next patient in line is called bed management. Objectives ➢To understand the process flow of bed management in the hospital ➢To conduct a Time Motion Study for the patients getting discharged ➢To locate the problem areas in the process and give suitable solutions Methods Observation at various levels of the process of bed management (Pharmacy, Billing, TPA, Floors, Front office) Study Frame • Patients getting discharged • HIS (Hospital Information System) • Stakeholders of the system Findings It was observed that incorrect time management and inefficient system usage including communication gaps and delays, manual system updates and housekeeping protocols were the main problem areas in the bed management process. Conclusion Strict Vigilance of the work at the nerve cell and floors is required. The stakeholders were suggested to put ceilings on the number of beds that can be blocked for a day as well as on the time for which these beds are blocked. In addition to these, the stakeholders were also advised to replace manual system updation with some smart solutions

A new accurate solution method for steady forced convection in an unbounded flow around a circular cylinder in continuum and slip regimes

A new accurate numerical solution method for steady forced convection in an unbounded bidimensional flow around a circular cylinder is presented, addressing both the no-slip and slip regimes for Reynolds numbers and Knudsen numbers within the range 0.01 ≤ Re ≤ 47 and 0 ≤ Kn ≤ 0.1. The challenge of singular behaviour in infinite domains, which degrades numerical precision, is effectively mitigated by our new approach, unlike previous methods that truncate the flow domain. This method provides complete and correct description of the flow near the cylinder and in the far field perfectly reproducing the asymptotic solutions at large distances. We also present a new effective analytical solution for Oseen flow with slip effects, accurately representing flow at low Reynolds numbers. The validity of our numerical solution is confirmed by extensive comparisons with analytical solutions and numerical and experimental data from the literature. Additionally, we derive a new accurate correlation formula for the Nusselt number in slip flow regimes, involving both scenarios with and without temperature jump. This formula is crucial for engineering applications, especially in constant temperature hot-wire anemometry, as it avoids the requirement to correct heat transfer measurements due to slip and temperature jump effects when using very small diameter wires.

Application of Solution-Processed High-Entropy Metal Oxide Dielectric Layers with High Dielectric Constant and Wide Bandgap in Thin-Film Transistors

High-k metal oxides are gradually replacing the traditional SiO2 dielectric layer in the new generation of electronic devices. In this paper, we report the production of five-element high entropy metal oxides (HEMOs) dielectric films by solution method and analyzed the role of each metal oxide in the system by characterizing the film properties. On this basis, we found optimal combination of (AlGaTiYZr)Ox with the best dielectric properties, exhibiting a low leakage current of 1.2 × 10−8 A/cm2 @1 MV/cm and a high dielectric constant, while the film’s visible transmittance is more than 90%. Based on the results of factor analysis, we increased the dielectric constant up to 52.74 by increasing the proportion of TiO2 in the HEMOs and maintained a large optical bandgap (>5 eV). We prepared thin film transistors (TFTs) based on an (AlGaTiYZr)Ox dielectric layer and an InGaZnOx (IGZO) active layer, and the devices exhibit a mobility of 18.2 cm2/Vs, a threshold voltage (Vth) of −0.203 V, and an subthreshold swing (SS) of 0.288 V/dec, along with a minimal hysteresis, which suggests a good prospect of applying HEMOs to TFTs. It can be seen that the HEMOs dielectric films prepared based on the solution method can combine the advantages of various high-k dielectrics to obtain better film properties. Moreover, HEMOs dielectric films have the advantages of simple processing, low-temperature preparation, and low cost, which are expected to be widely used as dielectric layers in new flexible, transparent, and high-performance electronic devices in the future.

Development of FRET-based fluorescence quenching of ferric ions using Gd-doped CeO2 quantum dots

Ferric ions (Fe3+) are important in transporting oxygen and enzymatic reactions. Excess (hyperferremia) or deficiency (hypoferremia) of Fe3+ can cause serious health problems such as injury to the kidney, hepatic cirrhosis, heart disease, and anemia. Therefore, a novel sensor with selective, sensitive, and quick determination abilities is urgently required for Fe3+ sensing. The groundbreaking nano-methodologies have uncovered the paramount importance of metal and metal oxide nanoparticles (MONPs) in facilitating more accurate and streamlined detection assays. Herein, gadolinium (Gd) doped and undoped fluorescent cerium oxide (CeO2) QDs were synthesized due to the luminescent property of cerium oxide and its ability to incorporate oxygen vacancies through doping by a facile solution method and applied for sensing Fe3+. The chemical and morphological properties of the doped and undoped CeO2 QDs were thoroughly characterized. Their electronic and optical properties were analyzed through UV-Vis and fluorescence spectroscopy, after which they have been utilized to detect Fe3+. The fluorescence emission spectrum of CeO2 QDs overlaps with the absorption spectrum of ferric ions, resulting in fluorescence resonance energy transfer (FRET) and subsequent quenching of the fluorescence emission. The newly synthesized sensor displayed impressive performance in terms of selectivity and sensitivity towards Fe3+ sensing with a very low limit of detection (LOD) of 0.039 fM.