Experiment Program Research Articles

A chemo-geotechnical approach to obtain optimal mixtures of zeolite-bentonite as heavy metal adsorbents

The removal or reduction of heavy metal leakage from waste leachates into the soil and aquatic environment has been of interest for many years. A suitable solution is to enclose wastes in the impermeable, adsorbent, and durable layers that tolerate different ambient conditions. This indicates the need to consider geotechnical parameters along with the adsorption behavior of the adsorbents. In routine practice, a mixture of bentonite clay, zeolite, and geo-synthetics is used. This study aims to introduce suitable mixtures of zeolite and bentonite as natural adsorbents for sealing/adsorption of heavy metals in liner systems. Various mixtures of bentonite and zeolites of clinoptilolite and clinoptilolite-heulandite types were examined. Twenty-three mixed and non-mixed samples were prepared and tested. Once the soil index and soil compaction parameters were determined, an experiment program was designed to evaluate the cracking potential related to the freeze-drying process, as well as the adsorption potential of the samples at different ambient conditions (i.e., temperature and pH). It is observed that increasing the temperature up to 40 °C increases the adsorption potential. According to the results, the optimal adsorbents were found in the mixtures of zeolite/bentonite with the ratio of 4:1 in the first place and zeolite/bentonite with a ratio of 3:1 in the second, under various conditions.

Production technology and mathematical method for modeling the formulation of fruit and jelly candies enriched with collagen

Mathematical methods for designing recipes for various food products including fruit-jelly sweets of a given composition are based mainly on the methods of linear and experimental statistical programming. The use of the linear programming method made it possible to simulate the recipe for fruit-jelly sweets enriched with collagen. In the mathematical modeling of sweets, we were guided by a unified recipe for fruit-jelly masses, with a partial replacement of granulated sugar with strawberry powder and a solution of collagen hydrolyzate, replacement of fruit and berry cooking with strawberry puree. The requirements of GOST 4570-2014 for sweets were taken into account, according to which the mass fraction (ppm) of fruit raw materials should be at least 7%, ppm. moisture - no more than 32.0%, ppm reducing substances - no more than 60.0%. White sugar (x1), molasses (x2), strawberry puree (x3), agar-agar (x4), citric acid (x5), strawberry powder (x6), collagen hydrolyzate solution (x7) were used as prescription ingredients. As a result of calculating the program, the shares of prescription ingredients were obtained: x1 = 0.45; x2 = 0.24; x3 = 0.25; x4 = 0.016; x5 = 0.005, x6 = 0.05; x7 = 0.18. In this case, the goal function tends to the maximum, i.e. to obtain a product of high nutritional value. The data obtained made it possible to compose the recipe composition of enriched fruit-jelly sweets for the production of 1000 kg of product. The technological process for the production of sweets included sequentially performed operations that allow obtaining a product with a high nutritional value, the required content of biologically active substances and good organoleptic properties that meet the requirements of regulatory documents.

Irradiation performance of nonfertile (Pu-MA-Zr) fast reactor metal fuels

This work was part of a program begun in 2001 to develop advanced nuclear fuels, originally as carriers for plutonium and minor actinides (neptunium, curium, and americium) taken from spent commercial light-water reactors (LWR) so that the plutonium and minor actinides could be ‘burned’ or transmuted in an accelerator or a fast nuclear reactor. A central part of these experiment programs has been the development of advanced fast reactor fuels, because a fast reactor was considered the most efficient vehicle to transmute the actinide waste products, and metallic fuels is a central focus of these tests. An experiment design was developed in which a thermal test reactor, the Advanced Test Reactor (ATR), was used to test small fuel pin prototypes, by creating areas in the core shielded by cadmium filters to produce a largely epithermal and fast neutron spectrum environment in which the pins could be irradiated. The results of non-fertile metallic fuel (no uranium) tests are presented here.Pu-Am-Np-Zr fuels were irradiated to fission densities up to 33 × 1020 fission/cm3 and Pu-239 depletions of up to 39%. The depletions were created by roughly 2/3 by fission and 1/3 by transmutation neutron capture. Up to five fuel ‘rodlets’ were irradiated in three sealed capsules stacked axially in the core, and the peak cladding temperatures ranged from 300°C to 500°C, depending on axial location as those near the core centerline are operating hotter and to higher fission densities. Several post-irradiation examinations (precision gamma scanning and fission gas release) were similar to other historical metal fuel experiments in fast reactors. However, optical metallography indicated that two of the rodlets had breached. The exact reasons are unclear. Due to the design of this irradiation experiment a rodlet breach could have increased the temperature in others in the same capsule by contaminating the thermal gap helium with heavier and less conductive fission product gases. Some of those rodlets showed high amounts of fuel/cladding chemical interaction (FCCI).

PENGARUH PENYULUHAN HIV/AIDS TERHADAP PENGETAHUAN DAN SIKAP SISWA SMA NEGERI 1 SEPAUK KABUPATEN SINTANG

HIV (Human Immunodeficiency Virus) was a virus that attacks the human immune system that can cause AIDS (Acquired Immuno Deficiency Syndrome). AIDS was a collection of symptoms that arise from a decrease in the immune system. The aim of this study was to determine differences between knowledge and attitudes of Senior High School Number 1 Sepauk students before and after HIV / AIDS counselling. The research’s method used was a quantitative method with the design of One Group Pre-test Post-test conducted the first observation (pre-test) that allows testing the changes that occur after the experiment (program). The research sample was taken using a convenience sample technique of 40 students. The results showed that HIV / AIDS counselling could improve students' knowledge of 2.9, namely from 90.28 (before HIV / AIDS counselling was conducted) changed to 93.18. T-test results obtained p value = 0.022 meaning that statistically there were significant differences in knowledge before and after HIV / AIDS counselling. HIV / AIDS counselling can improve students' attitudes 1.57, from 92.25 (before HIV / AIDS counselling) changes to 93.82 (after HIV / AIDS counselling). It could be concluded that counselling need to be conducted continuously to students to improve knowledge and change the attitudes of high school students 1 Sepauk Sintang Regency. Keywords: Counselling, HIV / AIDS, Knowledge, Attitudes, and Students.

COMPRESSIVE STRENGTH EVALUATION OF LIGHTWEIGHT CONCRETE WITH EXPANDED GLASS AGGREGATE BY ULTRASONIC PULSE VELOCITY METHOD

In the present study, a non-destructive testing method was utilized to assess the mechanical properties of lightweight and normal-weight concrete specimens. The experiment program consisted of more than a hundred concrete specimens with the unit weight ranging from around 850 to 2250 kg/m3. Compressive strength tests were performed at the age of seven and twenty eight days. Ultrasonic Pulse Velocity (UPV) was the NDT that was implemented in this study to investigate the significance of the correlation between UPV and compressive strength of lightweight concrete specimens. Water to cement ratio (w/c), mix designs, aggregate volume, and the amount of normal weight coarse and fine aggregates replaced with lightweight aggregate, are the variables in this work. The lightweight aggregate used in this study, Poraver®, is a product of recycled glass materials. Furthermore, the validity of the current prediction methods in the literature was investigated including comparison between this study and an available expression in the literature on similar materials, for calculation of mechanical properties of lightweight concrete based on pulse velocity. It was observed that the recently developed empirical equation would better predict the compressive strength of lightweight concrete specimens in terms of the pulse velocity.

Overall evaluation of the surface integrity in two-dimensional ultrasonic surface rolling 7050 Al alloy

To improve the anti-fatigue performance and the service life of parts made of 7050 aluminium alloy, the surface integrity of the workpiece treated by two-dimensional ultrasonic surface rolling (TDUSR) was comprehensively evaluated, and the optimization methods of the process parameters were proposed in this paper. The orthogonal experimental method was used to design an experiment program for TDUSR 7050 aluminium alloy. Based on the experimental results, the entropy weight method was used to make objectively weight for each quantifiable evaluation index. The technique for order preference by similarity to an ideal solution (TOPSIS) improved by the grey relational analysis (GRA) was presented to evaluate the surface integrity. Quadratic regression analysis was applied to establish prediction models for the surface roughness, microhardness, residual stress and the close degree. The optimal process parameters for the surface integrity were obtained using planning solution based on the prediction models. The results show that the static load and the feed rate have significant effects on the surface integrity, and their contributions are 60.52% and 28.05%, respectively. The maximal close degree obtained by planning solution is bigger than that obtained by TOPSIS improved by GRA. The validation test result proves that the overall evaluation method of TOPSIS improved by GRA combined with prediction modelling method by quadratic regression analysis can provide comparatively better process parameters and obtain more desirable process responses.

Comparison of primary creep regeneration and anelastic recovery behaviour of 316H austenitic and 10%Cr martensitic steels

ABSTRACT Primary creep regeneration (PCR), i.e. re-occurrence of the primary creep stage for a material loaded under stress-varying creep conditions, is an important consideration for the design and assessment of high-temperature components operating under cyclic loading conditions. This study reviews observations from a comprehensive creep experiment program aiming to understand the PCR behaviour of two high-temperature steels with very different metallurgical-microstructural characteristics at their respective application temperatures; namely 316H austenitic stainless steel at 650°C and a 10%Cr martensitic steel at 600°C. The program included twelve (stress-varying) creep tests for each steel which were systematically designed to characterise the PCR and anelastic recovery response of the steels under various loading scenarios. The experimental observations showed that the PCR behaviour of both steels is similarly sensitive to the parameters of the loading profile and PCR is more pronounced for e.g. larger reverse-loading magnitudes or longer reverse-loading durations. Detailed analysis however showed that the early PCR response is different for the two steels and the 10%Cr steel showed significantly higher creep rates immediately after a stress-transient. Similarly, it was found that although the anelastic recovery response of both steels shares similar sensitivity to the parameters of the prior-loading profile, the extent of anelastic recovery is less significant for the 316H steel. The observed PCR and anelastic recovery behaviour of the two steels have been interpreted based on their dislocation-structure and microstructural features.

Full-Scale Supersonic Parachute Shape Reconstruction Using Three-Dimensional Stereo Imagery

This paper describes three-dimensional (3D) stereo reconstruction efforts for the full-scale supersonic parachute deployment tests performed under the NASA Advanced Supersonic Parachute Inflation Research Experiment (ASPIRE) program. Specific time-resolved data products that have been generated for the ASPIRE tests and are presented in this work include parachute projected area, parachute vent-hole location, and parachute surface reconstruction (3D point clouds).

Characterization of atmospheric trace gases and water soluble inorganic chemical ions of PM1 and PM2.5 at Indira Gandhi International Airport, New Delhi during 2017–18 winter

Water soluble inorganic chemical ions of PM1 and PM2.5 and atmospheric trace gases were monitored simultaneously on hourly resolution at Indira Gandhi International Airport (IGIA), Delhi during 8 December 2017–10 February 2018. Monitoring was made by MARGA (Monitoring AeRosol and Gases in ambient Air) under winter fog experiment (WIFEX) program of the Ministry of Earth Sciences (MoES), Government of India. The result based on the analysis of the data so generated reveals that Cl−, NH4+, NO3− and SO42− were dominant ions in order which collectively constituted 96.8 and 97.3% of the of the total measured ionic mass in PM1 and PM2.5 respectively. Their overall average concentrations in PM1 were 19.5 ± 19.7, 18.4 ± 10.5, 16.6 ± 8.7 and 10.3 ± 5.7 μg/m3 and in PM2.5 were 36.0 ± 33.9, 32.7 ± 17.2, 28.5 ± 13.6 and 19.9 ± 13.9 μg/m3. Average concentrations of HCl, HNO3, HNO2, SO2 and NH3 trace gases were 0.7 ± 0.3, 2.7 ± 1.1, 6.6 ± 4.7, 22.0 ± 12.3 and 25.7 ± 9.1 μg/m3 respectively. Weather parameters along with low mixing height played significant role in the occurrence of high concentration of these chemical species.NH4+ was the prime neutralizer of the acidic components and mostly occurred in (NH4)2SO4/NH4HSO4, NH4NO3 and NH4Cl molecular forms. Major sources of these chemical species were fossil fuel combustion in aviation activity and transportation, coal burning in thermal power plants, industrial processes and emissions from biomass burning and agro-based activity.The quality of air with respect to PM2.5 always remained deteriorated. It became alarming during low visibility period mainly due to high concentration of Cl−, NO3−, SO42− and NH4+. Both meteorological and chemical processes interactively fed each other which occasionally resulted in fog development and visibility degradation. The knowledge gained by this study will help in simulation of atmospheric processes which lead to fog development and dispersal in the Delhi region.

Experiment design for teaching digital logic and computer organization principle

This paper presents the experiment program which requires the students to incorporate the knowledge learned from both digital logic and computer organization courses to develop a multi-cycle MIPS CPU with FPGA. First, it introduces how to incorporate the knowledge of these two courses by conducting the experiments on the same FPGA platform. Then, it discusses how to teach the students to design a multi-cycle MIPS CPU which supports interruption han- dling. Later, it presents an analogous teaching approach which compares the FPGA development to the C program- ming to help the students master the intricate FPGA devel- opment process in an easy-to-understand way. This exper- iment program targets to help the students build the sys- tematic thinking way as well as cultivate them to develop a complicate computer system by integrating the knowledge of different courses. The experimental program has been carried out in the Internet-of-Things speciality for 6 years, and the survey results showed this experiment program had achieved the desired teaching objective effectively.

Response surface optimization of biodiesel synthesis over a novel biochar-based heterogeneous catalyst from cultivated (Musa sapientum) banana peels

In this work, response surface methodology (RSM) was utilized to optimize the biodiesel yield of the transesterification reaction. A novel solid carbon-supported potassium hydroxide catalyst derived from the pyrolysis of cultivated banana (Musa sapientum) peels and potassium carbonate (K2CO3) was used as the catalyst for biodiesel production. A five-level (− 2, − 1, 0, + 1, and + 2) RSM with a four-factor central composite design of independent variable factors (methanol to palm oil molar ratio (6:1–18:1), catalyst loading (3–7 wt.%), reaction time (30–150 min), and reaction temperature (50–70 °C)) were randomly setup using the Design of Experiment program. The 30 wt.% K2CO3 catalyst calcined at 600 °C under atmosphere pressure exhibited the highest catalytic activity, since the pyrolysis ash was rich in K that formed a basic heterogeneous catalyst. Within the range of selected operating conditions, the optimized methanol:oil molar ratio, catalyst loading, reaction time, and reaction temperature were found to be 15:1, 4 wt.%, 120 min, and 65 °C, respectively, to give a biodiesel yield of 99.16%. The actual biodiesel yield of 98.91% was obtained under the predicted optimal conditions. The high R2 (96.76%) and R2adj (92.97%) values indicated that the fitted model showed a good agreement with the predicted and actual biodiesel yield.

An I-optimal experimental design-embedded nonlinear lexicographic goal programming model for optimization of controllable design factors

Optimal experimental designs are effective offline quality improvement techniques used to enhance existing products and develop new products for a constrained design region. For some practical situations, I-optimal experimental designs may be the most suitable way to construct optimal experimental design points, by addressing prediction variance to generate a measure of prediction performance over the non-standard experimental design region. The purpose of this article is three-fold: (1) the I-optimality criterion is selected for minimizing the average prediction variance; (2) fitted mean and variance response models are found; and (3) a nonlinear lexicographic goal programming model incorporating an I-optimal experimental design is proposed to find the optimum settings of controllable design factors. Comparison studies and a numerical example are provided to illustrate the effectiveness of the proposed methodology for improvement of the quality of products.

Improving Hurricane Analyses and Predictions with TCI, IFEX Field Campaign Observations, and CIMSS AMVs Using the Advanced Hybrid Data Assimilation System for HWRF. Part II: Observation Impacts on the Analysis and Prediction of Patricia (2015)

Abstract Diverse observations, such as the High Definition Sounding System (HDSS) dropsonde observations from the Tropical Cyclone Intensity (TCI) program, the Tail Doppler Radar (TDR), Stepped Frequency Microwave Radiometer (SFMR), and flight-level observations from the Intensity Forecasting Experiment (IFEX) program, and the atmospheric motion vectors (AMVs) from the Cooperative Institute for Meteorological Satellite Studies (CIMSS) simultaneously depicted the three-dimensional (3D) structure of Hurricane Patricia (2015). Experiments are conducted to understand the relative impacts of each of these observation types on Patricia’s analysis and prediction using the Gridpoint Statistical Interpolation (GSI)-based ensemble-variational data assimilation system for the Hurricane Weather Research and Forecasting (HWRF) Model. In comparing the impacts of assimilating each dataset individually, results suggest that 1) the assimilation of 3D observations produces better TC structure analysis than the assimilation of two-dimensional (2D) observations; 2) the analysis from assimilating observations collected from platforms that only sample momentum fields produces a less improved forecast with either short-lived impacts or slower intensity spinup as compared to the forecast produced after assimilating observations collected from platforms that sample both momentum and thermal fields; and 3) the structure forecast tends to benefit more from the assimilation of inner-core observations than the corresponding intensity forecast, which implies better verification metrics are needed for future TC forecast evaluation.

Event Studies of High‐Latitude FACs With Inverse and Assimilative Analysis of AMPERE Magnetometer Data

AbstractWe present examples of high‐latitude field‐aligned current (FAC) and toroidal magnetic potential patterns in both hemispheres reconstructed at a 2‐min cadence using an updated optimal interpolation (OI) method that ingests magnetic perturbation data provided by the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE) program. A solstice and an equinoctial event are studied to demonstrate the reconstructed patterns and to provide scientific insights into FAC response to different solar wind drivers. For the 14 June 2011 high‐speed stream event with mostly northward Bz driving, we found persistently stronger FACs in the Northern Hemisphere. Extreme interhemispheric asymmetry is associated with the interplanetary magnetic field (IMF) direction and large dipole tilt, consistent with earlier studies. FAC asymmetries seen during an isolated substorm can be attributed to dipole tilt. During relatively low geomagnetic activity, the FAC response to IMF Bx changes is identified. For the 17–18 March 2013 period, we provide global snapshots of rapid FAC changes related to an interplanetary shock passage. We further present comparisons between instantaneous and mean behaviors of FAC for the solar wind sheath passage and interplanetary coronal mass ejection southward Bz interval and northward Bz intervals. We show that (1) sheath passage results in strong FAC and high variation in the dayside polar cap region and pre‐midnight region, different from the typical R1/R2 currents during prolonged southward Bz; (2) four‐cell reverse patterns appear during northward Bz but are not stable; and (3) persistent dawn‐dusk asymmetry is seen throughout the storm, especially during an extreme substorm, likely associated with a dawnside current wedge.

Russian methodology for designing multicomponent foods in retrospect

The article summarizes some scientific and practical prerequisites for creating multicomponent foods with desirable quality characteristics and consumer properties. Mathematical methods were used to model a multicomponent product according to the selected parameters of adequacy and quality, depending on the nutritional and biological value of raw materials. The Russian methodology of food design originated in the works of N.N. Lipatov. His six basic principles of designing balanced multicomponent foods are still relevant today. Further development was proposed by A.B. Lisitsyn who took into account individual protein digestibility of every component in the mixture and its effect on the amino acid composition of total protein. At the next stage, Yu.A. Ivashkin improved formulations using the methods of system analysis, modelling, and product range optimization. Modern food chemistry, food biotechnology, and information technologies allow for effective computer design and optimization of multicomponent food formulations for specific population groups. As a result, an increasing number of food scientists are engaged in improving food products. Literature analysis showed that the current stages of designing (modelling) multicomponent foods are mainly based on information and algorithms, using linear, experimental and statistical programming methods or an object-oriented approach. Russian food scientists still use the methodology developed by A.M. Brazhnikov, I.A. Rogov, and N.N. Lipatov. It allows for designing multicomponent foods with specified nutritional indicators and energy value. The Russian Academy of Sciences pointed to a need for “digital nutritiology” (Decree No. 178 of November 27, 2018 “On Current Problems of Optimizing the Population of Russia: Role of Science”). This new scientific direction could enable digital transformation of data on human physiological needs for nutrients, biologically active substances, and energy, as well as the chemical composition of basic foods. There is also a need for computer programs to give personalized recommendations for optimal nutrition.

Numerical simulation of combustion in a biomass briquette chain boiler

A bed and furnace integrated model of biomass briquette chain boilers was built on basis of theories of computational fluid mechanics, heat transfer, thermodynamics, and chemical reaction kinetics. The combustion in the biomass briquette chain boilers was characterized under five working parameters (air-preheating temperature, fuel bed thickness, grate advancing speed, particle diameter, air supply mode) through experimental design, numerical simulation, and mathematical programming. Finally, these parameters were optimized with the ant colony algorithm. It was found that the combustion efficiency and economic benefits were both optimized at the air-preheating temperature of 553.22 K, fuel bed thickness of 0.16 m, particle diameter of 0.02 m, and uniform centered air supply. This study offers some theoretical basis and method for the optimized design and operation of biomass briquette chain boilers.

Design improvement and fatigue analysis for a bicycle handlebar stem system using uniform design method and genetic algorithm

An integrating optimization procedure is presented to improve the von Mises stress and fatigue safety factor for a handlebar stem system in a bicycle system. The optimization procedure involves uniform design of experiment, Kriging interpolation, genetic algorithm, and nonlinear programming method. Using ANSYS/Workbench software and the ISO 4210 bicycle handlebar stem testing standard, the von Mises stress for the lateral bending test simulation and the fatigue safety factor for the fatigue test simulation is calculated. The von Mises stress and fatigue safety factor are combined into a single and integrated objective function, and Kriging interpolation is then used to create the surrogate model of the integrated objective function. When the integrating optimization procedure is used, the integrated objective function demonstrates that the von Mises stress for the optimized handlebar stem is reduced to 225 MPa and the fatigue safety factor increases to 1.796. This shows that the optimized design increases the strength of the handlebar stem. The proposed technique yields a handlebar stem with an optimized shape.

Determination of Suitable Regions for Cultivation of Three Medicinal Plants under a Changing Climate

The use of less vulnerable species to climate change such as medicinal plants can be considered as a coping strategy for adapting to climate change. This paper aims to evaluate the suitability of the arable lands located in the Daryache-Namak basin, Iran, for cultivation of several medicinal plants. An approach based on the fuzzy logic was developed that considers potential changes in suitability caused by both climate anomalies and new policies regarding the conflicting water demand. This approach uses different factors, including climate, water availability, soil texture, and salinity to classify the suitability. Monthly outputs of regional climate simulations conducted under the Coordinated Regional Downscaling Experiment (CORDEX) program were applied to project the future climate. The results showed that climate anomalies and new policies have led to shifts in the spatial distribution of medicinal plants. For instance, the area of highly suitable lands for cultivating medicinal plants was decreased by 10%. Furthermore, the suitability score of the proposed approach had the largest determination coefficient for yield estimations, mainly due to accounting explicitly for various environmental factors. Based on the field survey, it is revealed that the potentially suitable cultivation regions are highly coincident with the existing cultivated locations. Comparing the different polygons indicated that for marginally and not suitable classes, the contribution of maximum and minimum temperature was increased and decreased, respectively. Similarly, in these two classes, the contribution of water availability would increase.

Modes of (FACs) Variability and Their Hemispheric Asymmetry Revealed by Inverse and Assimilative Analysis of Iridium Magnetometer Data

AbstractWe determine the primary modes of field‐aligned current (FAC) variability and their hemispheric asymmetry by nonlinear regression analysis of a multiyear global data set of Iridium constellation engineering‐grade magnetometer data from the Active Magnetosphere and Planetary Electrodynamics Response Experiment program. The spatial and temporal FAC variability associated with three major categories of solar wind drivers, (1) slow flow, (2) high‐speed streams (HSS), (3) transient flow related to coronal mass ejections (CMEs), and (4) a combination of these, is characterized as empirical orthogonal functions (EOFs) and their time‐varying amplitude. For the combined solar wind category, the order of the modes of variability are strengthening/weakening of (1) EOF1—all FACs; (2) EOF2—Region 2 (R2) FACs; and (3) EOF3—dayside/nightside FACs. The first two EOFs are associated with solar wind coupling; EOF3 is associated with the ecliptic components of the interplanetary magnetic field (IMF). We also find hemispheric asymmetry in FACs. Northern Hemisphere EOFs show clearer spatial features and higher correlation coefficients with solar wind drivers. The Northern Hemisphere also shows higher correlation coefficients in all seasons except winter. We find transient flow EOFs to be better correlated with solar wind drivers such as IMF Bz and coupling functions, while HSS EOFs are better correlated with solar wind plasma parameters. CME‐related transient flow EOFs also show R2 FAC variabilities that are not found in other separate wind drivers. Application of the EOF analysis to the Iridium magnetometer data shows significant promise for greater understanding of geoeffectiveness of solar wind interactions with geospace.

A novel predictive model for estimation of cell voltage in electrochemical recovery of copper from brass: Application of gene expression programming

Regarding the high corrosion resistance of brass in sulfuric acid, its leaching process is the most important step in hydrometallurgical recovery of brass scraps. In this study, the electrochemical dissolution of brass chips in sulfuric acid has been investigated. The electrochemical cell voltage depends on various parameters. Regarding the complexity of electrochemical dissolution, the system voltage could not be easily predicted based on the operational parameters of the cell. So, it is necessary to use modeling techniques to predict cell voltage. In this study, 139 leaching experiments were conducted under different conditions. Using the experimental results and gene expression programming (GEP), parameters such as acid concentration, current density, temperature and anode-cathode distance were entered as the inputs and the voltage of the electrochemical dissolution was predicted as the output. The results showed that GEP-based model was capable of predicting the voltage of electrochemical dissolution of brass alloy with correlation coefficient of 0.929 and root square mean error (RSME) of 0.052. Based on the sensitivity analysis on the input and output parameters, acid concentration and anode-cathode distance were the most and least effective parameters, respectively. The modeling results confirmed that the proposed model is a powerful tool in designing a mathematical equation between the parameters of electrochemical dissolution and the voltage induced by variation of these parameters.