Light Weight Optimization Design for a Connection Frame Considering Thermal-Structural Coupling Deformation

2014 ◽  
Author(s):  
Lufan Zhang ◽  
Zhili Long ◽  
Jiandong Cai ◽  
Jiwen Fang
Keyword(s):  
Working Conditions ◽  
Optimal Solution ◽  
Frame Structure ◽  
Light Weight ◽  
Precision Positioning ◽  
Structural Coupling ◽  
Maximum Deformation ◽  
High Acceleration ◽  
Ultra Precision ◽  
Coupling Deformation

Connection frame, as a key module in macro-micro motion platform, is employed to realize a high acceleration, high speed and ultra-precision positioning motion. In the paper, six working conditions of connection frame are obtained by analyzing its driving processes. The maximum deformation in the different working conditions is calculated by the mechanical analysis which affects ultra-precision positioning. Moreover, the maximum deformation of thermal-structural coupling analysis increases the influence on the positioning. Under the same situation, the change trends of deformation and stress distribution of connection mechanism can be obtained by changing the surface loads. The maximum deformation and stress increase with the loads. However, for ever-increasing market demand, it is not adequate to only consider high acceleration under accuracy requirement. The higher acceleration is needed by light weight of connection frame. Therefore, an optimization model is built and studied, which takes the weight of connection frame as objective and takes the thermal deformation as constraint. Connection frame structure model can be calculated in ANSYS and the optimal solution can be obtained by genetic algorithm (GA) in MATLAB. With MATLAB and ANSYS optimization, the rate of convergence has been improved by 3%. Design variables for optimal solution are obtained. The weight and the maximum thermal-structural coupling displacement have been improved by 24.3% and 27.3% respectively. The first six order vibration modes of connection frame are obtained by the finite element method. And the simulation data can be verified by experiment. At last, an optimization connection frame structure considering thermal-structure coupling deformation is obtained.

Design and Research on Aluminum-Plastic Trunk Lid

2012 ◽  
Vol 538-541 ◽  
pp. 833-840
Author(s):  
Duo Nian Yu ◽  
Li Yang Gu ◽  
Chong Yang Lu
Keyword(s):  
Design Method ◽  
The Body ◽  
Frame Structure ◽  
Light Weight ◽  
Mechanical Stiffness ◽  
Plastic Structure ◽  
Stiffness Properties ◽  
Body Design ◽  
Static Mechanical ◽  
Panel Thickness

Abstract: In this paper, the traditional trunk lid was analyzed using finite element method firstly, and then the basic mechanical properties of the lid were obtained, which were used as the topology optimization constrains of the trunk lid outer panel, then the aluminum alloy frame structure that could satisfy the static mechanical stiffness properties was designed; According to the requirement, the trunk lid inner panel was redesigned, the material properties determined in advance were given to the inner and outer panel respectively, after being assembled, the best panel thickness could be obtained by ways of size optimization. Compared to the analysis results, the new aluminum-plastic structure can meet the requirements in performance, and has significant effect on light-weight. This paper provides some reference for the development of the aluminum-plastic structure of the body design method.

scholarly journals Prediction model of the clearance oil film for static vertical rail considering the ram deformation

2019 ◽  
Vol 234 (1) ◽  
pp. 42-49
Author(s):  
Yan-qin Zhang ◽  
Jin-jun Hou ◽  
Wei-cheng Gao ◽  
Zhi-wei Zhao ◽  
De-fan Zhou ◽  
...  
Keyword(s):  
Prediction Model ◽  
Working Conditions ◽  
Distribution Law ◽  
Single Chamber ◽  
Maximum Deformation ◽  
Deformation Law ◽  
New Type ◽  
Volume Method ◽  
Better Than ◽  
Double Chamber

In order to improve the cutting rigidity of hydrostatic oil pad on large vertical lathes’ vertical rail of hydrostatic ram, on the basis of a single-chamber oil pad, this paper proposed a new type of the double-chamber oil pad. Pressure field distribution law of the single-chamber and the double-chamber oil pad was obtained by the finite element volume method. Then, using the fluid–structure coupling method and Workbench software the deformation law of ram was obtained under different working conditions. Finally, oil film’s prediction model of the single-chamber and the double-chamber oil pad was solved under different working conditions. Oil film’s prediction model of the single-chamber oil pad and the double-chamber oil pad was obtained under various working conditions. The results show that the maximum deformation of the single-chamber of upper oil pad ranges from 0.079 to 0.92 µm, while the double-chamber oil pad ranges from 0.07 to 0.68 µm. The maximum deformation of the single chamber of lower oil pad ranges from 0.91 to 9.21 µm, while the double-chamber oil pad ranges from 0.74 to 9.14 µm, and the maximum deformation of the double-chamber oil pad is less than that of the single chamber, which shows that the rigidity of the double-chamber oil pad is better than that of the single chamber. The results are helpful to improve the bearing performance and service life of bearings.

Modeling and Validation of Ultra Precision Positioning System

2011 ◽  
Vol 87 ◽  
pp. 200-205 ◽  
Author(s):  
Jing Shu Wang ◽  
Li Ting Sun ◽  
Ming Chi Feng ◽  
Chang An Zhu
Keyword(s):  
Rigid Body ◽  
Elastic Body ◽  
Stable State ◽  
Least Square ◽  
Positioning System ◽  
Precision Positioning ◽  
Unknown Parameters ◽  
Body Model ◽  
Rigid Body Model ◽  
Ultra Precision

Base on the significance of understanding research objects, modeling and validation of ultra precision positioning system is studied in this paper. Taking different reduction methods of leaf springs into consideration, a rigid body model and an elastic body model has been developed. Identifying unknown parameters by the least square method, the validation results of two models are compared. The conclusion indicates that the elastic body model is better when the dynamic characteristics of the positioning system before the stable state are concerned and the rigid body model is more appropriate if the accuracy of the whole model is focused.

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