Residual Solution Research Articles

Acid recovery from molybdenum metallurgical wastewater via selective electrodialysis and nanofiltration

The molybdenum mining industry discharges a large volume of acidic wastewater containing significant amounts of molybdenum, copper, and other non-valuable metals. In this study, the separation of metal ions (Mo6+, Fe2+, Ca2+, Na+) and recovery of sulfuric acid from molybdenum metallurgical wastewater were investigated via selective electrodialysis (SED) and nanofiltration (NF). A constant voltage of 6 V and volume ratio between the diluent and concentrate chamber of 1:1 was optimized for SED with a highest acid recovery of 89.6% and Mo6+ rejection rate of 98.1%. In contrast, an optimized operating pressure of 1.0 MPa led to highest acid recovery rate of 59.1% and Mo6+ rejection rate of 96.3% in the NF process. The comparison between SED and NF suggests that SED is more competitive than NF for this wastewater treatment with less energy consumption, higher acid recovery rate and higher purity for the recovered acid. Furthermore, coupling NF with SED could reach an acid recovery rate of over 94.2%. Moreover, it was feasible to convert the residual solution of the membrane process into MoO3 nanoparticles by post-treatment. Therefore, it could be concluded that SED and NF are both promising technologies for acid recovery from molybdenum metallurgical wastewater.

Microbial Contamination of Preservative-Free Artificial Tears Based on Instillation Techniques.

Preservative-free artificial tears eliminate the side effects of preservatives but are prone to microbial contamination. This study evaluates the incidence of microbial contaminations in single-use vials of preservative-free 0.1% hyaluronate artificial tears. Based on what touched the vial tip during its first use, 60 unit-dose vials (0.5 mL) were divided into groups A (no touch, n = 20), B (fingertip, n = 20), and C (lid margin, n = 20). The vials were recapped after the first use, and the residual solution was cultured 24 h later. The solution from 20 aseptically opened and unused vials was also cultured (group D). Microbial contamination rates were compared between the groups using the Fisher’s exact test. Groups B and C contained 45% (9/20) and 10% (2/20) contaminations while groups A and D contained undetected microbial growth. The culture positivity rates were significantly different between groups A and B (p = 0.001) and groups B and C (p = 0.013) but not between groups A and C (p = 0.487). We demonstrate a significantly higher risk of contamination when fingertips touch the vial mouth. Therefore, users should avoid the vial tip touching the fingers or eyelid during instillation to prevent contamination of the eye drops.

Reflection residual statics estimated using a high-resolution neural network

Performing reflection statics corrections for improving seismic imaging is an important step in land and shallow marine data processing. The reflection residual statics solution is commonly derived from stack power maximization with hyperbolic assumptions that are valid for normal moveout (NMO) correction and stacking. We have developed a deep learning method for deriving surface-consistent reflection residual statics directly from common-shot, common-receiver, or common-midpoint gathers without velocity analysis and NMO correction. To mitigate overfitting and improve generalization ability, we augment training data by using only a few gathers but massive synthetic statics values. Because the magnitude of residual statics is often small, we apply a high-resolution neural network as a backbone to learn detailed features. We also design the head of the neural network to allow multiscale training and multiscale testing, which enables different acquisition geometries for prediction. Training with labeled samples from synthetic or real data has been tested with new real data as prediction inputs. In both cases, residual statics help improve stacked sections. If the NMO assumption is valid, our method produces results comparable to stack power maximization with much less computation time. If the NMO assumption is invalid, our method produces better results than stack power maximization.

The analysis of nutritional value, total phenolic and flavonoid contents, and antioxidant activities from the ethanolic extracts of the roasted broken brown rice powder

The objective of this study was to determine the nutritional value, total phenolic and flavonoid contents, and antioxidant activities of the roasted broken brown rice powder. The roasted broken brown rice powder was dried at 60 °C for 3 h in a hot air oven and extracted with absolute ethanol by using ultrasonic technique. Then, the sample was filtered to separate the residue and mixture solution and dried to remove the solvent by rotary evaporator for obtaining the ethanolic crude extract. Finally, the crude extract was collected and determined proximate composition, total phenolic content (TPC), total flavonoid content (TFC), and antioxidant capacity. The results revealed that the percentage crude extract of the extraction yield was 0.47% by weight with crude carbohydrate (74.47% w w−1), crude protein (8.11% w w−1), and fat (0.05% w w−1), respectively. The TPC and TFC were found at an average of 20.40 ± 0.37 mg GAE g−1 crude extract and 4.58 ± 0.19 mg QE g−1 crude extract, respectively. Moreover, the sample has highly efficient antioxidants activity similar to a standard Trolox solution. Therefore, it was reasonably concluded that the roasted broken brown rice powder product was rich in beneficial nutrients for the health effects and represented adding value to a by–product of rice production.

Management technology for groundwater resources in in-situ leach of weakly watered uranium reservoirs

The ore bodies in the Vitim uranium ore province are nonuniformly encroached with groundwater. The weakly watered ore-bearing areas are unsuitable for the in-situ leaching at admissible economic performances. In this connection, as a case-study of Khiagda deposit, a geo-permeation model has been constructed to identify the highly and weakly watered areas in the local ore bodies. Using a digital hydrodynamic model, the technology is developed for re-distributing groundwater between the highly and weakly watered ore-bearing sites. The groundwater management technology based on the geopermeation model in combination with the model of ore body X4 (insert model) has helped finding solutions to some specific problems of concern: the source of flooding is detected in a highly watered area at the bottom of ore body X3 treated by in-situ leaching (ISL); the gradual flooding strategy is selected for ore body X3; the volume of the flooding solutions is determined; the flooding process duration is calculated. The calculations prove economic profitability of the developed technology. The profitability is achieved owing to the scenario of series flooding of operating blocks through wells to be producing later on (the cost of the well construction is not included in the finance-and-economic model), as well as due to the enhanced productivity of operating ISL cells up to the project level and recycling of sulfuric acid and oxidizer (FeIII) taken from residual sulfuric solutions from depleted operating blocks. It is proposed to continue testing the technology after retrofitting of a testing ground with instrumentation. The authors appreciate participation of the Chief Specialist of Promtekhnologii JSC I. N. Dedyulin in this study.

Removal of ammonia nitrogen from residual ammonium leaching solution by heterotrophic nitrification-aerobic denitrification process

ABSTRACT The aftermath of mining weathered crust elution-deposited rare earth ore produces a large amount of residual ammonium leaching solution, which causes ammonia and nitrogen pollution to the mine site. Recently, denitrification by heterotrophic nitrification-aerobic denitrification (HN-AD) bacteria has attracted much attention. However, limited studies exist regarding the denitrification process of HN-AD bacteria. In this study, we combined four strains of HN-AD bacteria, Pseudomonas fulva K3, Pseudomonas mosselii K17, Klebsiella oxytoca A12, and Enterobacter hormaechei A16, obtained from rare earth element leaching sites, to select the best microbial consortium for ammonia nitrogen removal. We designed an ammonia removal process applicable to HN-AD bacteria to directly remove ammonia nitrogen from acidic leaching solutions. The experimental results demonstrated that the most efficient microbial consortium for ammonia nitrogen removal to be K3 + K17 + A16, with a removal efficiency of 89.68% for 8 h. In this process, considering the influencing factors of the ammonia removal process, the larger the influent flow rate and influent ammonia nitrogen concentration, the greater the ammonia nitrogen accumulation and pH decrease in the reactor. In consecutive multi-batch experiments, the ammonia removal process was used to remove ammonia nitrogen, at concentrations of 100–600 mg/L, from the simulated leaching solution at pH 4–7, whereby the effluent ammonia nitrogen concentration was lower than 15 mg/L. The results demonstrate that the ammonia removal process is highly feasible and stable. These findings will provide new ideas for the application of HN-AD bacteria and new methods for the removal of ammonia nitrogen from acidic leaching solutions.

Investigation on the erosion mechanism of simulated salt conditions on bitumen

Bitumen, a widely used adhesive material in the construction of asphalt pavement, can be eroded by the aqueous solution present in the service environment. In addition, different solutes are present in the aqueous solution under different service environments, which influences the erosion of bitumen. Hence, the erosion mechanism of bitumen under various salt erosion conditions (de-icing brine solution, sea fog, seawater, saline-alkali solution) was investigated in this paper. Several solutes (NaCl, Na2SO4, Na2CO3, and NaHCO3), which are most commonly presented in various salt erosion conditions, were utilized to prepare the simulated salt conditions. Virgin bitumen was immersed in salt solutions. Furthermore, virgin bitumen without immersion and immersed in deionized (DI) water used as control groups. After the immersion, the residual solution and treated bitumen were analyzed. The residual solution was characterized through pH value and total organic carbon (TOC) tests. The morphology, functional groups, molecular weight, rheological properties, and surface free energy of bitumen treated by various erosion conditions were studied by scanning electron microscope (SEM), Fourier transform infrared spectrometer (FTIR), gel permeation chromatography (GPC), dynamic shear rheometer (DSR), and contact angle tests. The results indicated that erosion of bitumen is accelerated under salt erosion conditions. The characteristics of bitumen after erosion are manifested as: accelerated dissolution of soluble components in bitumen, accelerated aging of bitumen, increased composite modulus and viscosity of bitumen, increased polar components and surface free energy of bitumen. The severity of salt erosion conditions on the characteristics of bitumen decreased as follows: Na2CO3 > NaHCO3 > Na2SO4 > NaCl > H2O. The newly proposed mechanism of salt erosion consists of migration, dissolution, penetration, and reaction.

The solution of twelfth order boundary value problems by the improved residual power series method: new approach

ABSTRACT This work presents the extension of the Residual Power Series Method (RPSM) to boundary value problems using Mathematica software. This development is tested on twelfth-order linear and non-linear boundary value problems. The residual analysis and solutions are designed through tables and figures. The results show a very strong agreement with the exact solution and the comparison of the results with the other well-known methods shows the superiority of this method.

A methodology for estimating accurate velocity field of NigNET based on new ITRF realization

This contribution presents a new velocity field describing the crustal motion of Nigeria from more than 5years continuous GNSS data at 8 of 14 permanent stations distributed across the country. GAMIT/GLOBK GNSS processing software was used for processing. The horizontal velocity field of NigNET stations which showed a North-East trend and the selected IGS stations were obtained from cleaned position time series of daily GNSS solutions. The velocity describe the horizontal and vertical motion the selected 8 GNSS stations assuming Flicker +White noise model, which optimally describes the geophysical error source of the adopted GNSS stations. Bland and Altman statistical method shows that residual velocity solutions of our study and others (in ITRF2008) and also MORVEL plate motion model are in agreement.

Silicon Contamination During Alloy Oxidation in Water Vapour at 650 °C

A model Si-free alloy, Fe-30Cr (wt.%), was exposed to Ar-10H2O mixture (in vol.%) at 650 °C, forming a protective Cr2O3 scale, which contained silica. Liquid water used to form water vapour in a bubbler was either deionised or distilled. In both cases, low-level water impurities of Si, F, Cl, S, and Ca matched those detected in the Cr2O3 scales by TEM/EDX and ToF–SIMS. Consideration of water droplet and residual solute particle sizes, together with Stokes’ Law shows that entrainment of Si in the gas stream is likely. Calculation of mass transfer rates from the gas to the growing chromia scale show that the amount of silica in the scale is accounted for. Many laboratory experiments could be affected in this way.

Biosorption of Precious Metals Present at Dilute Concentrations on Fungal Pellets

Biosorption on fungal pellets constitutes a promising way of removing precious metals, which are often present at dilute concentrations in wastewater. Herein, we studied the Ag and Au biosorption by Aspergillus tabacinus and Cladosporium cladosporioides pellets. For A. tabacinus pellets the optimum pH values for the biosorption of Ag and Au were 5 and 4, respectively, while for C. cladosporioides granules, the best-suited values were 3 and 4, respectively. Biosorption kinetics of both metals were also studied at low adsorbate concentrations (1 mg/L) and the pH values mentioned above, and the contact times that allow maximum recovery of the two metals were defined. At the pH values estimated as optimum, A. tabacinus pellets adsorbed greater amounts of Ag than C. cladosporioides pellets, while for Au the opposite occurred. We found that the pseudo-second-order model adequately represents Ag and Au biosorption kinetics under the conditions tested. Due to the growing demand and limited availability of these metals, their recovery from aqueous residual solutions is economically attractive and desirable in the expanding circular economy scheme.

Kontaminasi Sel Darah Merah dengan Sisa Bahan Anestesi dalam Cartridge Pasca Injeksi Anestesi Lokal

Background: The use of residual anesthetic solution for other patients is still carried out by several dentists. Blood in the veins can provide back pressure after deponir anesthetic fluid so that the cartridge can be contaminated with blood as a result of the back pressure. Blood that has been infected by a pathogen can be the easiest way to transmit a disease. The purpose of this study was to determine the presence of red blood cell contamination in the remaining anesthetic in the cartridge after injection of local anesthetic using an S brand intraigamentary syringe. Method: An analytical observational study with a cross sectional design. Using accidental sampling technique with a total of 20 samples. The material used is a cartridge containing 3% mepivacaine hydrochloride. Researchers used cartridges after anesthesia procedures to patients, then observations were made using Urinalysis Reagent Strips (Urine). Test data analysis using point-biserial correlation. Result: It was found that 14 samples had red blood cell contamination (65%) and 7 samples did not have red blood cell contamination (35%). There was a close relationship between red blood cell contamination of the remaining anesthetic solution in the cartridge (r = - 0.864) and there was a significant relationship between red blood cell contamination and the remaining anesthetic solution in the cartridge with a P value of 0.000 (P < 0.01). Conclusion: There is contamination of red blood cells in the remaining anesthetic solution in the cartridge using an S brand intraigamentary syringe.

Selective recovery of Pb(II) from a waste electrolyte via ion flotation with iminodiacetic acid-functionalized graphene oxide as a nanocollector

In this work, iminodiacetic acid-functionalized graphene oxide (IDA@GO) is prepared and used as a nanocollector for enhancing and selectively recovering Pb(II) from a strongly acidic waste electrolyte via ion flotation. IDA@GO is characterized by Fourier transform infrared spectroscopy, zeta potential measurements and atomic force microscopy. The effects of pH, reaction time, cetyl trimethyl ammonium bromide (CTAB) dosage and aeration rate on the Pb(II) concentration and turbidity of the residual solution are examined systematically. The experimental results show that the adsorption capacity of Pb(II) on IDA@GO can reach 91.21 mg/g at pH 2. After froth flotation, the turbidity of the treated solution decreased to 0.55 NTU under the optimal CTAB dosage and aeration rate. In addition, as compared with GO, the relative selectivity coefficients of IDA@GO are up to 1.304, 1.471, 1.807 and 1.509 for Co(II), Ni(II), Zn(II) and Cd(II), respectively, thereby exhibiting better selectivity performance. Moreover, IDA@GO can be reused as a nanocollector in ion flotation and exhibits ideal regeneration performance. In addition, the recovery mechanism is found to proceed through Pb(II) adsorbing on IDA@GO by electrostatic attraction, ion exchange and surface complexation, with the addition of CTAB improving the hydrophobicity of Pb(II)-loaded IDA@GO flocs, thus achieving the recovery of Pb(II) via froth flotation.

CALPHAD-informed phase-field model for two-sublattice phases based on chemical potentials: [formula omitted]-phase precipitation in Al-Zn-Mg-Cu alloys

The electrochemical properties of high strength 7xxx aluminium alloys strongly depend on the substitutional occupancy of Zn by Cu and Al in the strengthening η-phase with the two-sublattice structure, and its microstructural and compositional prediction is the key to design of new generation corrosion resistant alloys. In this work, we have developed a chemical-potential-based phase-field model capable of describing multi-component and two-sublattice ordered phases, during commercial multi-stage artificial ageing treatments, by directly incorporating the compound energy CALPHAD formalism. The model developed has been employed to explore the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during heat treatments. In particular, the influence of alloy composition, solute diffusivity, and heat treatment parameters on the microstructural and compositional evolution of η-phase precipitates, was systematically investigated from a thermodynamic and kinetic perspective and compared to electron probe microanalysis validation data. The simulated η-phase growth kinetics and the matrix residual solute evolution in the AA7050 alloy indicates that Zn depletion mainly controlled the η-phase growth process during the early stage of ageing, resulting in fast η-phase growth kinetics, enrichment of Zn in the η-phase, and an excess in residual Cu in the matrix. The gradual substitution of Zn by Cu atoms in the η-phase during the later ageing stage was in principle a kinetically controlled process, owing to the slower diffusivity of Cu relative to Zn in the matrix. It was also found that the higher nominal Zn content in alloys like the AA7085 alloy, compared to the AA7050 alloy, could significantly enhance the chemical potential of Zn, but this had a minor influence on Cu, which essentially led to the higher Zn content (and consequently lower Cu) seen in the η-phase. Finally, substantial depletion of Zn and supersaturation of Cu in the matrix of the AA7050 alloy was predicted after 24 h ageing at 120 ∘C, whereas the second higher-temperature ageing stage at 180 ∘C markedly enhanced the diffusion of Cu from the supersaturated matrix into the η-phase, while the matrix residual Zn content was only slightly affected.

Degradation of the mixed organic solvents of tributyl phosphate and n-dodecane by heterogeneous Fenton-like oxidation using nanoscale zero-valent iron as the catalyst

The treatment and disposal of spent radioactive organic solvents, i.e., tributyl phosphate (TBP) and diluent (such as kerosene, n-dodecane, etc.), produced in the reprocessing of spent fuel in the closed cycle are crucial for the sustainable development of the nuclear industry. In this study, the synthesized nanoscale zero-valent iron (nZVI) was used as the heterogeneous Fenton-like catalyst to promote the generation of hydroxyl radicals (•OH) by reacting with H2O2 to degrade the mixed organic solvents of TBP and n-dodecane. nZVI was characterized by scanning electron microscopy (SEM), nitrogen adsorption/desorption isotherms, and X-ray photoelectron spectroscopy (XPS) to investigate the micro-morphology, nano-particle size, and surface valence state. The change of Fe2+/Fe3+ concentration ratio during the reaction was measured to clarify the performance of nZVI. The effects of temperature, catalyst dosage, H2O2 dosage, and acidifier concentration on the degradation of TBP and n-dodecane were studied, and the results were complemented by the COD of the aqueous solution and the volume reduction rate of the organic phase. The mixed organic solvents of TBP and n-dodecane containing Co2+ were used to simulate the spent radioactive organic solvents and to study the distribution of nuclides after the reaction. The results showed that most of the radioactivity was in the residual solution, and the condensate contained almost no radioactivity. The degradation of TBP and n-dodecane was carried out separately, which showed that n-dodecane was more difficult to degrade. Density functional theory (DFT) calculations were applied to determine the adsorption energy of organic solvents and nZVI. According to the Fourier transform infrared spectra (FTIR) and their corresponding DFT calculations, liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) of the sample after the reaction, the possible intermediates were analyzed, and the degradation mechanism was speculated.

Hysteresis of Crystallization Derived from Residual Solution Structures after Semiclathrate Hydrate Decomposition

Hysteresis of Crystallization Derived from Residual Solution Structures after Semiclathrate Hydrate Decomposition

High-yield production of monolayer boron nitride nanosheets by cationic-surfactant-assisted solvothermal exfoliation for the ultrafast and selective separation of U(VI) from lanthanides

The efficient separation and recovery of uranium(VI) (U(VI)) from lanthanides is pivotal to reduce the radioactive threat of hydrometallurgical residue solution of lanthanide minerals and benefits the sustainability of U resources. Here, we develop a cationic-surfactant-assisted solvothermal exfoliation method to prepare monolayer boron nitride nanosheets (BNNSs) for the ultrafast and selective separation of U(VI) from lanthanides. With the assistance of the strong “cation–π” interaction between cationic surfactants and BN, the monolayer BNNSs were prepared. Functionalization with diamide phenanthroline (DAPhen) groups endows the pristine BNNSs, which can hardly adsorb U(VI), with outstanding U(VI) adsorption performance. Batch adsorption experiments demonstrate that the obtained DAPhen modified BNNSs (BNNSs-DAPhen) exhibited high maximum adsorption capacity and ultrafast adsorption kinetics. The adsorption process reached equilibrium less than 1 min and the maximum adsorption capacity was estimated to be 313 mg g−1 by fitting with Langmuir model. Even under high concentrations of salts and acids, BNNSs-DAPhen still maintained excellent adsorption performance owing to the strong complexing ability of DAPhen groups with U(VI). The selectivity coefficients of U(VI) toward various lanthanides including lanthanum(III), cerium(III), europium(III), gadolinium(III), ytterbium(III), and lutetium(III) were beyond 120 at a high nitric acid concentration of 5 mol L−1. This work proposed a universal strategy for the production of monolayer BNNSs and the subsequent functionalization, which might be promising in the treatment of residual solution for lanthanides hydrometallurgy and decontamination of U(VI).

Highly efficient and selective recovery of Cu(II) from wastewater via ion flotation with amidoxime functionalized graphene oxide as nano collector

In this work, amidoxime functionalized graphene oxide ([email protected]) was prepared with 1,3-diamino-1,2,3-trioximido-propane as chelation group and used as nano collector for enhancing and selectively recovering Cu(II) from wastewater via ion flotation. [email protected] was characterized by scanning electron microscope/energy dispersive X-ray detector (SEM/EDX), Fourier transform infrared spectroscopy (FT-IR) and X-ray photoelectron spectroscopy (XPS). Effects of pH, contact time, [email protected] and hexadecyl trimethyl ammonium bromide (HTAB) concentration, and aeration rate on Cu(II) recovery and the turbidity of the residual solution were examined systematically. The experimental results showed that as compared with GO, the adsorption capacity and selectivity of [email protected] for Cu(II) was greatly improved. Almost 99.26% of Cu(II) could be recovered with selectivity coefficient of 54.161, 73.430, 50.365 and 21.630 for Cu(II)/M(II) (M = Co, Ni, Zn and Cd, respectively). Moreover, the relative Cu(II) recovery maintained over 90.45% after five flotation- desorption cycles, indicating [email protected] could be reused as nano collector in ion flotation. In addition, density functional theory (DFT) calculation suggested that [email protected] had a stronger affinity to Cu(II) originated from both O and N from oximido contributed to the stable configuration of [email protected]@Cu(II) complexes, endowing it possessed a higher selectivity coefficient for Cu(II).

Biogeochemical Cycling of 99Tc in Alkaline Sediments.

99Tc will be present in significant quantities in radioactive wastes including intermediate-level waste (ILW). The internationally favored concept for disposing of higher activity radioactive wastes including ILW is via deep geological disposal in an underground engineered facility located ∼200-1000 m deep. Typically, in the deep geological disposal environment, the subsurface will be saturated, cement will be used extensively as an engineering material, and iron will be ubiquitous. This means that understanding Tc biogeochemistry in high pH, cementitious environments is important to underpin safety case development. Here, alkaline sediment microcosms (pH 10) were incubated under anoxic conditions under "no added Fe(III)" and "with added Fe(III)" conditions (added as ferrihydrite) at three Tc concentrations (10-11, 10-6, and 10-4 mol L-1). In the 10-6 mol L-1 Tc experiments with no added Fe(III), ∼35% Tc(VII) removal occurred during bioreduction. Solvent extraction of the residual solution phase indicated that ∼75% of Tc was present as Tc(IV), potentially as colloids. In both biologically active and sterile control experiments with added Fe(III), Fe(II) formed during bioreduction and >90% Tc was removed from the solution, most likely due to abiotic reduction mediated by Fe(II). X-ray absorption spectroscopy (XAS) showed that in bioreduced sediments, Tc was present as hydrous TcO2-like phases, with some evidence for an Fe association. When reduced sediments with added Fe(III) were air oxidized, there was a significant loss of Fe(II) over 1 month (∼50%), yet this was coupled to only modest Tc remobilization (∼25%). Here, XAS analysis suggested that with air oxidation, partial incorporation of Tc(IV) into newly forming Fe oxyhydr(oxide) minerals may be occurring. These data suggest that in Fe-rich, alkaline environments, biologically mediated processes may limit Tc mobility.

Adaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations

In this article, an attractive numeric–analytic algorithm, called the fractional residual power series algorithm, is implemented for predicting the approximate solutions for a certain class of fractional systems of partial differential equations in terms of Caputo fractional differentiability. The solution methodology combines the residual function and the fractional Taylor’s formula. In this context, the proposed algorithm provides the unknown coefficients of the expansion series for the governed system by a straightforward pattern as well as it presents the solutions in a systematic manner without including any restrictive conditions. To enhance the theoretical framework, some numerical examples are tested and discussed to detect the simplicity, performance, and applicability of the proposed algorithm. Numerical simulations and graphical plots are provided to check the impact of the fractional order on the geometric behavior of the fractional residual power series solutions. Moreover, the efficiency of this algorithm is discussed by comparing the obtained results with other existing methods such as Laplace Adomian decomposition and Iterative methods. Simulation of the results shows that the fractional residual power series technique is an accurate and very attractive tool to obtain the solutions for nonlinear fractional partial differential equations that occur in applied mathematics, physics, and engineering.