Optimization design of bonnet inner based on pedestrian head protection and stiffness requirements

Author(s):  
Xiongqi Peng ◽  
Purit Thanakijkasem ◽  
Xiaomin Zeng ◽  
Hongsheng Lu

Head impact with bonnet is one of the major causes for pedestrian severe injury or fatality in car accidents. This paper proposes a multidisciplinary design optimization method for bonnet inner based on pedestrian head protection along with bonnet stiffness requirement. A finite element (FE) model of a child headform impactor is developed and verified via simulation according to Global Technical Regulation No. 9 (GTR No. 9). Static stiffness analysis and headform collision simulation against one impact point for a particular bonnet are implemented. Parametric design and optimization analysis are carried out. Optimization solution significantly achieves a better head protection effect, which clearly affirms the feasibility of the proposed multidisciplinary optimization method and provides a reference approach to optimal design of engine bonnet inner.

Author(s):  
Johan Malmqvist

Abstract This paper describes a system for parametric design and optimization of complex products. In the system, the use of knowledge-based and mathematical programming methods is combined. The motivation is that while knowledge-based methods are well suited for modeling products, they are insufficient when dealing with design problems that can be given an optimization formulation. This weakness was approached by including the information necessary for stating an optimization problem in the product models. A system optimization method can then be applied. The system also performs sensitivity analysis and has an interactive optimization module. The use of the system is illustrated by an example; the design and optimization of a two-speed gearbox.


2013 ◽  
Vol 774-776 ◽  
pp. 168-171
Author(s):  
Qian Qian Wu ◽  
Rong Qiang Liu ◽  
Hong Hao Yue ◽  
Zong Quan Deng ◽  
Hong Wei Guo

Actuator based on Lorentz force exhibits excellent isolating performance with its non-contact characteristic, especially during frequency bandwidth below 5Hz. In this paper, mathematical model of the magnetic levitation actuator is constructed. In order to obtain better performance, parametric design of the structure of magnetic actuator is carried out and a multi-objective optimization method is proposed to maximize Lorentz force and minimize the mass of coil on the basis of genetic algorithm in the optimization process. A designing optimization program is developed, by which optimized parameters of magnetic actuator with maximal actuator force and minimal mass of coil can be identified to conduct experiment on ground. Compared with initial values in an instance, the optimized method is proven to be feasible and has the value of practical application.


2020 ◽  
Vol 165 ◽  
pp. 06054
Author(s):  
Shuai Chong ◽  
Lili Huang ◽  
Junchao Cao ◽  
Xiaoyang Lu

Using the traditional geometric principle and ANSYS software Parametric Design Language (APDL), the optimization method is given for the triangular shell mesh of lamella ellipsoid. The mechanical properties of two types of ellipsoidal reticulated shells, optimized isosceles shell (OIS) and traditional shell (TS), are analyzed by comparison with ANSYS software. The results show that the ellipsoidal reticulated shell composed of an optimized isosceles triangle mesh has better mechanical performance and is widely used in engineering.


2012 ◽  
Vol 134 (5) ◽  
Author(s):  
Chang Luo ◽  
Liming Song ◽  
Jun Li ◽  
Zhenping Feng

An aerodynamic single disciplinary optimization and an aerodynamic/structural multidisciplinary optimization of an axial compressor blade are performed using evolutionary algorithms in this paper. The blade is optimized for maximizing its isentropic efficiency in the aerodynamic single disciplinary optimization. The isentropic efficiency of the optimum blade obtained from the aerodynamic single disciplinary optimization is 1.65% higher than that of the reference blade, however, the mechanical performance analysis indicates that it has a higher stress distribution and does not satisfy the vibration frequency constraint. In the multidisciplinary optimization, the maximum of the isentropic efficiency and the minimization of the maximum stress are selected as the design objectives. The analysis results indicate that the method of dealing with minimization of the maximum stress as a design objective is proper and that the presented multiobjective and multidisciplinary optimization method is more suitable for the optimization design of a real turbomachinery blade than the traditional heuristic aerodynamic-structural iteration.


Author(s):  
T. C. Kingsley ◽  
K. J. Craig

A multidisciplinary optimization method is presented to support the design process of partially-filled liquid containers subject to the disciplines of sloshing and impact analysis. This paper represents a part of a study on Multidisciplinary Design and Optimization of liquid containers, and shows experimental techniques used to try to better understand sloshing as a phenomenon and to evaluate the capabilities of the commercial Computational Fluid Dynamics (CFD) code in question. Experimental validation includes qualitative comparison of visual free-surface behavior and quantitative comparisons of pressure measurements in the time and frequency domain. The liquid motion exhibits good comparisons in time with some deviations in wave amplitude due to a modification of the low frequency content of the input signal to the CFD simulation. This modification was caused by both the experimental signal filtration process and deficiencies in the low-frequency measurement capability of the accelerometer. In the frequency domain the first two odd oscillatory modes are accurately captured. A candidate objective function for the quantitative evaluation of the sloshing phenomenon is proposed. Using the response surface method in LS-OPT, various single (sloshing or impact only) and multidisciplinary optimization formulations are presented and results are examined. As expected, the multidisciplinary optimum proved to be a compromise between the optima obtained when considering the two single disciplines independently.


Author(s):  
Lijian Shi ◽  
Fangping Tang ◽  
Rongsheng Xie ◽  
Lilong Qi ◽  
Zhengdong Yang

This paper research the influence of cascade dense degree and airfoil placed angle on hydralic performance of axial flow pump blades. Which combines the numerical optimization technology with the advanced CFD simulation technique, replaces designers’ experience by mathematical models for controlling of the blade design direction. Finally, a platform for of the optimization design of axial-flow pump blades is built in this paper. The platform which based on the multidisciplinary optimization software iSIGHT is to design and optimize the axial flow blades. The automatic optimization design platform for axial-flow blade was established, in which the parameterization modeling, mesh, flow computation and numerical optimization are combined together. The use of the numerical simulation software CFD for disciplinary analysis improved the reliability and accuracy of the results of the prediction model. Found the approximate geometric design parameters of the design conditions based on numerical simulation, and the technology of numerical optimization was used for constrained optimized analysis based on these parameters. Optimized impeller efficiency improved about 0.7% while satisfying the constraint condition, shows that the optimization method for axial flow blade base on iSIGHT platform is effective and feasible. Meanwhile, the optimization method can greatly shorten the design cycle, reduce design cost optimization.


2011 ◽  
Vol 84-85 ◽  
pp. 3-7
Author(s):  
Meng Sheng Wang ◽  
Rui Ping Zhou ◽  
Xiang Xu

Multidisciplinary Design Optimization (MDO) is a new method for achieving an overall optimum design of the complex system. In this paper have researched how to make the mathematical model of the diesel engine system in the CO (Coordination Design Optimization) method, and applied it in the actual practice. The application result demonstrates that in this optimization method, we can achieve the optimal design of this diesel engine by the coordination of rationally configuring the design parameters, and improve the economy, the technical performance, the reliability and the service life of the designed engine.


2014 ◽  
Vol 889-890 ◽  
pp. 467-473
Author(s):  
Pi Yan He ◽  
Jia Yang

Topology optimization design is to ensure the normal functioning of the machine, remove the invalid element structure makes the best structure to maintain the structure and keep the stress or strain level close to the same in each part of the security configuration, the pursuit of the best efficiency, lightest weight , smallest, or the longest service life and so on. Traditional structural optimization design one or several parameters set as the primary determination. This method only to the extent required. With the development and analysis of the efficiency of the computer, we have introduced in the design of finite element analysis. This article uses the basic evolutionary structural optimization method In this paper, load the hub topology optimization analysis of different groups.


2018 ◽  
Vol 8 (11) ◽  
pp. 2030 ◽  
Author(s):  
Qinghua Deng ◽  
Shuai Shao ◽  
Lei Fu ◽  
Haifeng Luan ◽  
Zhenping Feng

This paper proposes an integrated design and optimization approach for radial inflow turbines consisting of an automated preliminary design module and a flexible three-dimensional multidisciplinary optimization module. The latter was constructed by an evolution algorithm, a genetic algorithm-assisted self-learning artificial neural network and a dynamic sampling database. The 3-D multidisciplinary optimization approach was validated by the original T-100 turbine and the T-100re turbine obtained from the automated preliminary design approach, for maximizing the total-to-static efficiency and minimizing the rotor weight while keeping the mass flow rate constant and stress limitation satisfied. The validation results indicate that the total-to-static efficiency is 89.6%, increased by 1.3%, and the rotor weight is reduced by 0.14 kg (14.6%) based on the T-100re turbine, while the efficiency is 88.2%, increased by 2.2% and the weight is reduced by 0.49 kg (37.4%) based on the original T-100 turbine. Moreover, the T-100re turbine shows better performance at the preliminary design stage and conserves this advantage to the end, though both the aerodynamic performance of the T-100 and the T-100re turbine are improved after 3-D optimization. At the same time, it is implied that the preliminary design plays an essential role in the radial inflow turbine design process, and it is hard for only 3-D optimization to get a further performance improvement.


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