Regression Orthogonal Design Research Articles

Integral solution method of the laminar conjugated natural convection heat transfer from a hollow cylinder

The laminar conjugated natural convection heat transfer from a hollow cylinder is a common problem in engineering. The accurate calculation of the hot-spot temperature helps to monitor and evaluate the operating status of the equipment. In this paper, first, a mathematical model of the conjugated natural convection from a hollow cylinder is established. The boundary layer integral equations under arbitrary heat flux distribution on the surface are derived, and the optimal velocity and temperature profiles corresponding to different Prandtl numbers are determined. By combining the integral equations and the thermal network model, the hot-spot temperature and the average surface temperature of a hollow cylinder are solved iteratively. Subsequently, a computational fluid dynamic (CFD) simulation based on finite volume method is carried out to verify the accuracy of the integral solution method. The maximum relative error of the computed results of the two methods is 1.35%. The integral solution method performs much better in computation speed, increasing by 90 times. It is also found that as the thermal conductivity of solid materials decreases, although the hot-spot temperature increases, the average surface temperature remains basically unchanged. Finally, based on the lumped thermal equivalent circuit, the correlation of the Nusselt number corresponding to the hot-spot temperature is predicted. The parameters in the correlation are estimated by regression orthogonal design. The results show that under a wide range of solid thermal conductivity and fluid Prandtl numbers, the maximum error of the correlation is 6.02%. Therefore, this novel method is feasible and significant for calculating hot-spot temperature.

Optimization Design Method for Non-Rectangular Constant Stress Accelerated Testing Considering Parameter Estimation Precision

In addressing the design challenges for constant-stress accelerated life testing in non-rectangular experimental domains, we aim to optimize the precision in estimating parameters for the product reliability statistical model. Following the principles of regression orthogonal design theory to determine the combinations of stress levels, we constrain the maximum stress levels of each experimental stress along the boundary curve of the non-rectangular experimental domain. The remaining stress levels and the allocation ratios of specimens for each test serve as design variables in the optimization process. We establish a mathematical model for the optimal design of constant-stress accelerated life testing in non-rectangular experimental domains. The results of the optimized design for comprehensive stress accelerated life testing in non-rectangular experimental regions of aerospace electrical connectors indicate that, with the same sample size, the optimized testing scheme not only enhances the precision of model parameter estimation but also reduces the number of required tests. At an equivalent number of tests and testing duration, the optimization scheme proposed in this study demonstrates an improvement of over 63% in the precision of model parameter estimation compared to the EM-optimized testing scheme in non-rectangular experimental regions. Using the mean, standard deviation, and coefficient of variation of the determinant values of the information matrix as criteria for evaluating the precision and robustness of experimental designs, a simulated evaluation was conducted for the optimized experimental design, a conventional experimental design, and an EM experimental design. The results indicate that the optimal experimental design outperforms both the conventional experimental design and the EM experimental design in terms of precision and robustness.

Fuel Consumption Rate Optimization Analysis of Dual-fuel Marine Diesel Engines Based on Orthogonal Design

To investigate the influence of diesel engine operating matching parameters on the comprehensive fuel consumption rate of butanol-diesel dual-fuel engines, a high-pressure combustion chamber cycle model of a 4190ZLC-2 marine medium-speed diesel engine was established using AVL-FIRE simulation software. After establishing the optimum blending ratio of butanol, the fuel system parameters were optimized using a one-time regression orthogonal experimental design method, and a mathematical model for fuel consumption rate prediction was constructed to find the combination of parameters with the lowest fuel consumption rate as the target. The study shows that inlet pressure has the greatest influence on the fuel consumption rate, followed by EGR and inlet air temperature. The lowest fuel consumption rate was achieved by combining the following parameters: (butanol blending ratio of 20%, EGR rate 0, inlet pressure 0.233 MPa, inlet temperature 325.15 K, Injection advance angle 22.6 °CA, the diameter of oil injection hole (0.26 mm); after optimization, the fuel consumption rate was reduced by 9.96% compared to the original machine.

Numerical Simulation and Experiment on Pill Coating of Red Clover Seeds under the Action of Vibrating Force Field

In order to solve the problem of the low qualification rate of the pilling and coating of small-grain forage seeds, a vibration force field is introduced to the traditional vertical disk coating machine to promote the mixing of materials and improve the qualification rate of the pilling. Using the typical small-grain forage seed red clover as an example, we used the vibration force field after adding seed powder particles to a coating pot for the theoretical analysis of the force situation, using the discrete element software EDEM to construct a red clover seed simulation model with the coefficient of discretization as the evaluation index. We studied the effects of the rotational speed of the coating pot, the vibration frequency of the pot, the amplitude of the vibration of the pot, and the other operating parameters of the pot on the uniformity of the seed powder mixing, with the pelletization of the pass rate as the physical evaluation standard, using a one-way test to study the effect of operating parameters on the pelletization pass rate. We used the qualified rate as the physical evaluation standard, through a single-factor test, to study the influence of the working parameters on the qualification rate of the pilling. The results show that the simulation test evaluation index of the discrete coefficient and the physical test evaluation index of the pilling qualification rate with the change rule of the working parameters is consistent with the discrete coefficient, and can be used as an indirect evaluation index of the quality of pilling. To further determine the optimal combination of working parameters, a quadratic regression orthogonal design test was conducted with the discrete coefficients as the evaluation index, and the second-order regression equations of the red clover seeds were established and analyzed by ANOVA using Design-Expert software. The study shows that, when the rotational speed of the coating pot is 307.204 rpm, the vibration frequency is 2.526 Hz, and the vibration amplitude of the coating pot is 5.843 mm, the predicted coefficient of dispersion at this time is 8.1%. Simulation using the best combination of parameters to obtain the average value of the dispersion coefficient of 8.4%, relative to the predicted value of 3.7%, indicated that the optimization of the experimental regression model is accurate, and the results obtained for the vibration of small seeds under the conditions of the design of the pellet granulation coating machine and the optimization of the pelletization coating process parameters have a certain degree of reference significance.

Optimization Research on Preparation of CeO2 Using Microwave Heating Method Based on Regression Orthogonal Design

Optimization Research on Preparation of CeO2 Using Microwave Heating Method Based on Regression Orthogonal Design

Optimization method of cutting parameters of wafer dicing saw based on orthogonal regression design

Wafer dicing saw is one of the core equipment in the manufacturing process of semiconductor integrated circuit components. The cutting accuracy of dicing saw directly affects the overall quality of processed chips. This paper systematically investigates the relationship between the main cutting process parameters and the cutting quality of the dicing saw. The orthogonal experimental design method and genetic algorithm are used to optimize the cutting process parameters, solving the high cost and low efficiency problems caused by the traditional way of selecting parameters by trial and error. After optimization, the average maximum chipping width is only 38.54 μm, which is 8.23% better than the traditional way of cutting quality. Based on the blade thickness of 35 μm, the maximum chipping width reached the industry-recognized best standard of 1.1 times the blade thickness, further proving the effectiveness of the method.Article HighlightsThe first joint application of orthogonal regression design method and evoluti-onary algorithm for parameter optimiza-tion of dicing saw.A set of optimal cutting parameters are found and verified by experiments.Compare and contrast the optimal cutting parameters cutting’s performance.

Numerical Simulation and Forecasting Model of Snow Drift Hazard in Yanchong Expressway with Embankment Form

To reasonably predict the snow drift hazard of expressway embankment in alpine mountainous area, in this paper, the computational fluid dynamics (CFD) numerical simulation method is used to analyze the distribution law of flow field of snow drift, the regression orthogonal design method is used to establish the prediction model of snow drift hazard in the expressway with the embankment form. Results show that different factors have different effects on snow drift hazard, the influence of embankment slope is the largest, followed by the coupling term of embankment slope and wind speed, the wind speed, the coupling term of embankment height and embankment slope, the coupling term of the mountain relative height and embankment slope, and the embankment height, while the influence of the distance between embankment and mountain-embankment slope coupling is the smallest. Numerical simulation and field observation have confirmed that the combined action of the terrain and embankment of Yanchong expressway Chicheng branch line leads to great changes in wind speed, resulting in uneven distribution of snow. A large amount of snow can be accumulated at the foot of the leeward slope of the mountain and the windward slope of the embankment, and there is less snow on the embankment pavement. By comparing the snow drift prediction model and CFD numerical simulation results, the error of the prediction model established in this paper is only 8.67%, which has high applicability. The research of this paper can provide a theoretical reference for the prediction and prevention of snow drift hazard on expressway embankment in alpine mountainous area.

Application of quadratic regression orthogonal design to optimization surface heating for control wet steam condensation flow in nozzle

The condensed flow of wet steam in the low-pressure cylinder of a steam turbine will affect the safety and economy of the unit's operation. Therefore, it is necessary to reduce the influence of the wet steam on the turbine blades after condensation. Based on the research status at home and abroad, in view of the similarity of the steam turbine stationary blade cascade channel structure to the Laval nozzle, taking the Moses and Stein nozzle as the research object. The distribution law of the wetness and other parameters are obtained by numerical simulation under different heating intervals and heating rates. The results show that in the same heating interval, as the heating rate increases, the Wilson point continues to move backwards, while this requires a lot of heating. At the same heating rate, as the heating interval increases, the wetness of the same point also decreases. The maximum heating interval is 50% of the axial length. Finally, through the quadratic regression orthogonal design, the heating parameters to prevent the deposition of droplets on the surface were given, the optimal heating starting point is 1.33 cm, the heating interval length is 5.17 cm, and the heating rate is 0.221669J/(mm2·s). The research results can provide reference for the design of steam turbine stator blade heating and dehumidification.

Optimization of brewing conditions for Tieguanyin oolong tea by quadratic orthogonal regression design

Tieguanyin is one of the most consumed oolong teas because of its distinctive flavor. The brewing process is crucial for the flavor performance of traditional teas, thus the effects of brewing conditions, including water/tea ratio (R), brewing temperature (T), and time (S) on the sensory traits, chemical composition, and antioxidant activity of Tieguanyin tea infusion were investigated using quadratic orthogonal regression design. Results showed that R affected all the quality variables most, its reduction could lead to the promotion of tea infusion concentration, antioxidant activity, and taste intensity, which was favored by the tea consumers drinking tea almost daily (DTD) but unacceptable for those drinking tea hardly (DTH). Based on the optimization of brewing conditions in response surface methodology (RSM), we recommended several brewing schemes for diverse consume goals: R = 34 mL/g, T = 80 °C, S = 80 s for DTH; R = 39 mL/g, T = 100 °C, S = 127 s for DTO (the consumers drinking tea occasionally); R = 20 mL/g, T = 100 °C, S = 100 s for DTD; R = 26 mL/g, T = 100 °C and S = 127 s for the common consumers seeking for flavor and health benefits. These results would be helpful for tea consumers with multiple demands.

Effect of Geometric Parameters on Folding of Thin-Walled Steel Tube under Axial Compression

<div class="section abstract"><div class="htmlview paragraph">This study investigated the plastic deformation behavior of 304 stainless steel thin-walled tubes under axial compression by means of numerical calculation and theoretical analysis. It was found that the plastic deformation length of thin-walled tube determined the formability of folds and the work done in the whole axial compression process. To reveal the relation between the range of plastic deformation length and tube geometry parameters, regression equations were established using the quadratic regression orthogonal design method. Experiments were conducted to validate the equations. The process windows for forming a single fold and tube joining at ends had been printed ultimately. The results showed that the regression equations can accurately predict the range of plastic deformation length for forming a single fold. Through the parameter analysis of regression equation, it was turned out that the tube thickness and radius had a significant impact on the plastic deformation length. The tube thickness had a positive linear relation with the minimum plastic deformation length required to form a single fold while the tube radius had a negative linear relation. As for the maximum plastic deformation length, the relations were nonlinear. All of these were referred for establishing the successful end-to-end joining of thin-walled tubes.</div></div>

Numerical Studies on the Stiffness of Arc Elliptical Cross-section Helical Spring Subjected to Circumference Force

Due to its excellent properties, elliptical cross-section helical spring has been widely used in automobile industry, such as valve spring, arc spring used in Dual Mass Flywheel and so on. Existing stiffness formulae of helical spring remain to be tested, and stiffness property of elliptical cross-section arc spring has been little studied. Hence, study on the stiffness of elliptical cross-section helical spring is significant in the development of elliptical cross-section helical spring. This paper proposes a method to study the stiffness property of elliptical cross-section helical spring that the experiment design method is adopted with finite element analysis. Firstly, the finite element analysis method was used to verify the cylindrical (circular cross-section and elliptical cross-section) springs. Then, the regression formula was designed and derived compared with the reference springs’ stiffness formulae by experimental design. Last, regression formula was verified with existing experiment data. The novelty in this paper is that simulation technology of arc spring was investigated and a stiffness regression equation of arc elliptical cross-section spring was obtained using orthogonal regression design, with significance in wide use of the arc elliptical cross-section helical spring promotion.

Optimization of Technological Parameters of Straw Fiber-Based Plant Fiber Seedling Pot Raw Materials

Straw fiber seedling pots are a promising substitute for plastic seedling pots. The mixing mode of straw fiber affects the mechanical properties of the raw material membrane of the seedling pot. To explore the processing technology of making the raw material membrane of the seedling pot with two kinds of plant fibers in a layered manner, the optimal combination of the process parameters of the raw material membrane of the seedling pot without additives in the production process was studied experimentally. Response surface methodology (RSM) was used to analyze the parameters (beating degree of unbleached softwood kraft pulp fiber, beating degree of wheat straw fiber, wheat straw fiber quality percentage content, and film grammage) with regard to the dry tensile index and Z-direction tensile index of the seedling pot body. The optimal process parameter combination with a certain dry tensile index and Z-direction tensile index of seedling pot raw material was obtained by using four factors and five levels of a quadratic regression orthogonal rotation center combination design parameter optimization experiment. The optimal technical parameters were optimized as wheat straw fiber quality percentage content 70%, film grammage 70 g/m2, unbleached softwood kraft pulp fiber beating degree 47–48 °SR, and wheat straw fiber beating degree 65–75 °SR. With the optimal conditions, the dry tensile index of the seedling bowl raw material film was between 21 and 22 N·(m·g−1), and the Z-direction tensile index was greater than 2.1 N·(m·g−1). Using wheat straw fibers and unbleached sulfite wood pulp fibers as raw materials for seedling pots, the raw material membrane of the seedling pots was made in a layered manner. The experimental study proved this feasibility. With this mixing process of raw materials, the straw fiber-based plant fiber seedling pot would meet the demands of a crop nursery after adding chemical additives. The research results provide a theoretical basis and technical support for the manufacture of the raw material membrane of the seedling pot body.

Design and optimization and experimental verification of a segmented double-helix blade roller for straw returning cultivators

ABSTRACT In this study, discrete element method (DEM) simulations of straw-soil rotary blade roller (RBR) were established based on the EDEM software. The forward speed, the rotational speed of the RBR shaft, and the rotary tillage depth were set as the operating parameters, while the straw coverage rate and operational energy consumption were set as the evaluation indexes for the straw returning cultivator (SRC). A three-factors three-level optimization simulation was carried out using the quadratic regression orthogonal combination design method to obtain the optimal values for these parameters. Finally, a series of field experiments was carried out to verify the performance of the SRC by using the optimal parameters. The results of these experiments showed the SRC outperformed a traditional cultivator. In conclusion, the optimization of the selected parameters significantly improved the utilization of stubble and greatly reduced the energy consumption.

Photolysis Effect of Muyu Stone/Magnetism Chitosan Microspheres on Chromium in Source Water

In this paper, Fe3O4 magnetism chitosan was made by emulsification crosslinking method. Muyu stone/Magnetism Chitosan Microspheres were prepared by embedding, and then used to photolysis chromium in source water. Based on single factor test, the experimental condition was optimized by quadratic regression orthogonal rotatable composite factorial design. The orthogonal regression model between the removal rate of Cr6+ (y) and microspheres dosage (x1), solution pH value (x2), reaction time (x3) was established as y=88.335+1.380x1+1.468x2+2.217x3-4.465x12-2.556x22-1.266x32+2.363x1x2+4.313x1x3-0.636x2x3. It can be inferred from the model that the removal rate of Cr6+ can reach 93.93% under these conditions of microsphere dosage of 2.444g, pH value of 4.6 and reaction time of 80.4min. Microsphere dosage of 2.444g,pH value of 4.6 and reaction time of 80.4min. Under these conditions, chromium removal rate reaches 93.13%.

Preparation of soluble ferrous complex with high alkaline stability by reducing iron nanoparticle in Maillard reaction

Ferrous (Fe(II)) is readily oxidized and precipitated in alkaline conditions. The development of a highly efficient, eco-friendly and alkali-tolerant ferrous complex has been one of the most important and challenging goals in application of iron. In this study, a facile method of synthesis antioxidative ferrous complex by introducing iron nanoparticles into Maillard reaction was conducted. The complex was constructed by taking advantage of reduction reaction and chelating interaction of Maillard reaction. The relationship between iron content and synthetic conditions was studied by quadratic regression orthogonal design. Both of the products made from inorganic iron (M-FS) and iron hydroxide (M-IH) could prevent ferrous from oxidation, but exhibited different structural characteristics and stabilities. The results revealed that M-IH could interact with Maillard reaction products (MRPs) more closely based on constructing more Fe–N bonds, which improved its stability and made it survive in the strong alkaline environment for long-term periods. Furthermore, unlike the precipitation in M-FS, the iron ions in M-IH were driven to coordinate with the polymerized fraction of MRPs to turn low binding affinity to high binding affinity under strong alkaline conditions. This work provides a new way to prepare antioxidative ferrous complex and potential applications in agrochemicals.

Formula Fertilization Promotes Phoebe bournei Robust Seedling Cultivation

Phoebe bournei is a rare and endangered woody species and the success of its plantation development is dependent upon proper seedling cultivation. This study explored the regulation of N, P and K fertilizer and the interaction of these macronutrients on the growth of Phoebe bournei seedlings. To determine the optimum rate and ratio of N–P–K fertilizer in seedling cultivation, we used the unique “3414” incomplete orthogonal regression design to evaluate the effects of N–P–K fertilization on seedling morphological development. One-year-old Phoebe bournei bareroot seedlings were grown for one growing season under the defined fertilization regime, with their morphological development determined by measuring seedling attributes—root, stem, leaves and total biomass, root collar diameter and seedling height. These attributes were then combined to calculate the following indices: height-diameter ratio, shoot-root ratio and the seedling quality index (QI). Results showed that the N–P–K fertilizer had significant and beneficial effect on seedling cultivation. N effect was highest, followed by K and P. The three-way N×P×K interaction effect was strong, and the two-way interactions effect was highest for N×P, followed by P×K and N×K. At the “2” level of N (0.532 g·plant−1), P (P2O5, 0.133 g·plant−1), and K fertilizer (K2O, 0.356 g·plant−1), seedling growth and biomass accumulation were at their maximum. Unary, binary, and ternary quadratic fertilizer effect function equations of QI were established. Through comparative analysis, the ternary quadratic model was the optimal model and through a simulation–optimization, the optimal N–P–K fertilizer rates were 0.373~0.420 g·plant−1 (N), 0.086~0.106 g·plant−1 (P2O5), 0.243~0.280 g·plant−1 (K2O), with a N–P–K ratio of 1:0.20:0.43~1:0.65:0.75.

Selection of culture conditions for callus induction and proliferation by somatic embryogenesis of Pinus koraiensis

The induction and proliferation of embryogenic callus are key steps for large-scale propagation of somatic embryogenesis pathway and long-term preservation of coniferous germplasm. Callus can be induced from immature embryos of Korean pine (Pinus koraiensis Sieb. et Zucc.; Pinaceae) as explants, but there are problems, such as low proliferation efficiency, loss of embryogenicity, poor vigor; thus, best conditions for proliferation and culture of immature embryos of Korean pine are not yet clear. To solve the problems with somatic embryogenesis of Korean pine and determine the best culture conditions for callus induction and proliferation, we varied hormone concentration, subculture cycle of proliferation and other plant growth regulators combinations in media to induce callus formation by megagametophytes of three Korean pine families at different developmental stages, then analyzed the effects on embryogenic callus retention and cell proliferation using a quadratic regression orthogonal rotation design. The results showed that the family origin and collection date of explants significantly affected callus induction (induction rate reached 1.67%). Embryogenic maintenance and callus proliferation were best on DCR medium supplemented with 0.25 mg L−1 6-benzyl adenine, 1 mg L−1 naphthaleneacetic acid, 30 g L−1 sucrose, 500 mg L−1, l-glutamine, 500 mg L−1 casein hydrolysis and 6.5 g L−1 agar. In addition, the combination of 2,4-dichlorophenoxyacetic acid + 6-benzyl adenine also had a better proliferative effect on callus. The effects of different combinations of growth regulators on callus proliferation efficiency were significantly different. Transfer to new medium every 13–15 days not only maintained robust callus vigor, but also yielded a larger proliferation coefficient. The techniques and conditions for embryogenic callus induction and proliferation of Korean determined here will serve as a foundation for establishing a large-scale system for somatic embryogenesis and propagation of Korean pine.

Effect of Plastic Film Residue on Vertical Infiltration Under Different Initial Soil Moisture Contents and Dry Bulk Densities

In arid and semi-arid regions, plastic film mulching can effectively improve crop yield, but with the increase of service life, a lot of residual plastic film (RPF) remains in the soil. The application of a RPF to a soil will alter soil moisture processes, and thus, affect the soil water distribution and its effectiveness. A quadratic regression orthogonal design was used to study the effects of initial moisture content (IMC), dry bulk density (DBD), residual plastic film content (RPFC), and the burial depth of RPF on the migration time of wetting front (MF), moisture content (MC), and accumulative infiltration (AI) of a test soil. It was found that IMC, DBD, and RPFC were the main factors affecting MC, MF, and AI, while the burial depth of RPF had no significant influence. The order of influence for the factors affecting MF was IMC > DBD > RPFC, while the order of influence for the factors affecting MC and AI was DBD > IMC > RPFC. RPFC was parabolic in relation to MF, MC, and AI, when it was in the range of 50–100 kg/hm2, while within the same range MC and AI reached a maximum and MF reached a minimum. The analysis of the interactive responses revealed that when the DBD was greater than 1.29g/cm3, the MF initially decreased and then increased with the increase of RPFC. When the RPFC was more than 100 kg/hm2, the MF initially increased and then decreased with the increase of the DBD. When the DBD was larger than 1.31 g/cm3, the AI initially increased and then decreased with the increase of RPFC. It was apparent that the RPF not only had a blocking effect on the wetting front, but also affected the water flow. When the RPFC was between 50 and 100 kg/hm2, the soil MC was significantly increased. It was suggested that the RPF pollution area should increase the mechanical recovery of plastic film, standardize the use and recycling of agricultural RPF, optimize the planting model, and establish a recyclable model for the treatment of RPF pollution, and it was proposed that the RPFC remaining after recovery of the RPF should be less than 50 kg/hm2.This study can prove the law of soil water movement in the residue film pollution area and provide reference and solution ideas for the comprehensive treatment of residue film pollution in farmland.

Effects of water-fertilizer coupling on the yield of spring maize under shallow-buried drip irrigation in semi-arid region of western Liaoning Province

To reveal the coupling effect of water and fertilizer on the yield of spring maize under shallow-buried drip irrigation in semi-arid area of western Liaoning, a field experiment was conducted with the quadratic regression orthogonal design of three factors (water, nitrogen and potassium) crossed with five levels in 2017-2018. A quadratic regression model was established with yield (Y) as the dependent variable and irrigation amount (W), nitrogen (N) and potassium (K) application amounts as independent variables to analyze the coupling relationships between Y and W, N and K, respectively. The results showed that the shallow-drip irrigation water-fertilizer coupling had significant impact on yield. The single factor of W, N and K promoted the yield, with their effects ranking as W>N>K. The effect of two-factor interaction on yield increased first and then decreased which ranked as WN>WK>NK. Considering the three-factor coupling effect on yield, the combination of abundant water, nitrogen and potassium was the highest, followed by high water, nitrogen and potassium, and low water, nitrogen and potassium the lowest. As the optimal treatments found by the model, we obtained the suitable water-fertilizer application range of shallow-buried drip irrigation with higher target yield of 8000-8810 kg·hm-2, that was, the irrigation amount was 43-61 mm, nitrogen 138-343 kg·hm-2 and potassium 79-163 kg·hm-2 under the ambient natural rainfall. The results provided a referable basis for application of water-fertilizer integrated cropping pattern under shallow-buried drip irrigation in semi-arid area of northern China.

Size-controlled synthesis of saccharide-based ferrous nanocomposites in coprecipitation system

Different methods of synthesizing iron nanomaterials have been extensively studied. Controlling the nanoparticle size, which is influenced by the synthetic conditions, is considered vital for application. In this study nano-sized iron composites Suc-Fe(II) was synthesized by coprecipitation of ferrous sulfate and sucrose. The yield, particle size distribution (PS) and binding affinity (BA) of Suc-Fe(II) were found to be strongly affected by synthetic conditions, including the molar ratio of raw materials, reaction temperature and time. The results of the quadratic regression orthogonal design method show that the yield and BA are most affected by the molar ratio, whereas PS is most affected by reaction temperature. However, the three parameters are not only affected by each of the three conditions, but also their combined synergistic effect. The designed Suc-Fe(II) nanocomposites with a PS of 750 nm was synthesized under optimized conditions, where the molar ratio, reaction temperature and time were 2.7, 111.5 °C and 40 h, respectively. This size-controlled method for producing nanocomposites was verified, providing a theoretical basis for the synthesis of new nanomaterials.