Abstract:Liquid desiccant dehumidifiers have received widespread attention due to their ability to utilize low-grade thermal energy and high dehumidification efficiency. However， the prediction accuracy of their mass transfer performance still needs to be improved. This article built up an experimental platform of a single-channel internally cooled liquid desiccant dehumidifier to study the effects of different parameters on its mass transfer efficiency. Meanwhile， an artificial neural network （ANN） model was established with MATLAB to predict the mass transfer efficiency of the dehumidifier. The ANN model was verified and validated with the above experimental data. The results indicated that the a mean absolute relative difference （MARD） between the predicted Sh of the ANN model and the experimental Sh was 4.07%. Compared with existing empirical formulas， the ANN model established in this paper had higher prediction accuracy. In addition， this article also used the ANN model to study the trend of Sh under different parameter changes， thereby investigating the impact of different parameters on the dehumidification performance.

Abstract:Aiming at the problems of insufficient leg stiffness and vibration of large hexapod robots during motion， a multi-objective comprehensive optimization method based on an approximate model is proposed. First， to determine the optimal space for the bionic leg， a finite element model is established to analyze the strength， stiffness， and modal frequency of the leg structure under various complex working conditions. A parametric model is established for the static and dynamic performance of the bionic leg， and the corresponding design variables are defined. To obtain the initial sample points， the Optimal Latin Hypercube Method was used to conduct an experimental design of the bionic leg hip linkage， thigh， and calf module. The response surface model， kriging model and radial basis function neural network model are fitted， and the approximate model with the highest accuracy is selected through error analysis. And combined with the Non-dominated Sorting Genetic Algorithm Ⅱ， the static stiffness， mass， and first-order natural frequency are targeted.Constraining the maximum stress， the bionic leg is optimally designed， and the optimized results are analyzed and verified. The results show that after the heavy-duty bionic leg is optimized by the method， under the premise of satisfying the structural strength， the maximum deformation of the flat ground condition is reduced by 9.73%， the maximum deformation of the slope condition is reduced by 9.46%， the first-order natural frequency is increased by 3.45%， and the overall quality fell by 8.63%.

Abstract:Changes in human body parameters influence on the geometry of the ribcage in children, directly affecting the form of chest injury. A limited number of existing childrens ribcage geometric models were developed using the parameters of specific body characteristics. CT 3D reconstruction，semi-automatic point selection，ribcage posture adjustment, statistical analysis，and Radial Basis Function（RBF） neural network deformation were applied to 61 CTs，and then a parametric geometric model for childrens ribcage aged 3~12 years in China based on the age, height，Body Mass Index（BMI）， and gender was developed. Using the proposed parametric geometric model，the childrens ribcage geometry models depending on the age（3~12 years old），height，BMI，and gender can be quickly obtained. The average geometric accuracy of the predicted ribcage geometry model for children aged 3~12 years was 5.2 mm, and the average geometric accuracy of the first to the twelfth pairs of ribs was at most 7.0 mm, and at least 4.5 mm. The parametric geometry model can be used to study the effect of human body parameters on the geometry of childrens ribcage and its impact on childrens chest injury.

Abstract:The fast calculation of stiffness chain model by directly using the parameters of real main section is the key problem which should be solved in the design of vehicle-body stiffness chain. Taking the control and engineering on the parameters of stiffness chain nodes as the target, this paper evaluated the relationship between the parameters of stiffness chain nodes and the parameters of main section property. Furthermore, the parameterized method of controlling the real shape of the main section was studied by using the polar coordinate method and computing method of complex section properties that considers single variable control theory based on an established and improved computing model for static stiffness chain of vehicle body. It achieves the targets of parameterized calculation for the stiffness chain nodes and the engineering for the parameters in stiffness chain model, which provides a foundation for the investigation on the optimal distribution of static stiffness based on real main section structure and shape. Finally, the proposed method was verified by a numerical example of a light-weight of vehicle body.

Abstract:To meet the demands of todays market fast fine design and to solve the bulk material conveying machinerys problem of long cycle of product design and slow process of optimization, we developed a platform of rapid design system for bulk material conveying machinery. Taking the bucket and wheel body of a companys bucket wheel mechanism as an examples, we firstly built parametric dimension driven design models, and then used the finite element analysis software to establish multi-objective optimization models based on the principle of parametric, realized the quick optimization of product design, and improved the design efficiency and the accuracy of the complex steel structure. Finally, the parametric design and parametric analysis of the optimization module were highly integrated and the rapid design system platform was completed. Users can use the interactive interface of the rapid design system platform input parameters to get the product they need. The example has indicated that the rapid design system has good application prospects in the serialization development of bulk material conveying machinery.

Abstract:Based on the top-down design conception, a framework model concept was proposed. This framework model was full size driven through the EXCEL table, and on this basis, the generation of a three-dimensional mathematical model was realized. At the same time, by using the finite element analysis software secondary development technology, the improved particle swarm algorithm based on the strategy of parameter was introduced in the finite element analysis program for the united solution to advanced algorithm theory and engineering optimization problems, so that the parameterized engineering analysis of the key components of the whole machine was realized. Finally, the related procedures were highly integrated in the expert system platform. By inputting design parameters by interface, users can get the 3-d parameterized mathematical model and finite element analysis results, so as to guide practical designs. The example of bucket wheel stacker has shown that the introduction of the concept of parameterized design and engineering analysis has considerable significance and engineering application value in the serialization development of large special equipment.

Abstract:Modern turbine blades are highly complex airfoils that are oblique and twist with non uniform section profiles,which hardly can be expressed analytically.With data points given on some predetermined blade sections,the geomerical modeling of the entire bl

Abstract:In this paper, the parameterization of the controllers in the unity feedback configuration is presented. By using the MFD method, this parameterization ensures the properness of the controllers and the free parameters appear directly to be the coeffients