Dynamic analysis and optimal design of exposure device of laser detector based on a virtual prototype

2009 ◽  
Author(s):  
Da Xu ◽  
Jian-xun Zhao ◽  
Jun-biao Hu ◽  
Hua Li ◽  
Chuan-you Wang ◽  
...  
2014 ◽  
Vol 529 ◽  
pp. 410-414
Author(s):  
Cang Zhao ◽  
Guang Li Song ◽  
Lei Xu

By combining the industrial design software UG and finite element dynamic analysis software ANSYS/LS-DYNA, the paper respectively designs the non-linear knitting cams with polynomial curves, and simulates the loop-forming process in the interaction between the cams and needles. Based on comparative analyses, it’s thereby concluded that the polynomial curve has the best performance and is significantly superior to the cam curve composed of straight-lines and circular-arcs; the elements with higher stresses are located above the butt of needle jack and the joint of the jack and latch needle; and the polynomial curve is effective in lowering the maximum stress of the needle.


Author(s):  
H. Ashrafeiuon ◽  
N. K. Mani

Abstract This paper presents a new approach to optimal design of large multibody spatial mechanical systems. This approach uses symbolic computing to generate the necessary equations for dynamic analysis and design sensitivity analysis. Identification of system topology is carried out using graph theory. The equations of motion are formulated in terms of relative joint coordinates through the use of velocity transformation matrix. Design sensitivity analysis is carried out using the Direct Differentiation method applied to the relative joint coordinate formulation for spatial systems. Symbolic manipulation programs are used to develop subroutines which provide information for dynamic and design sensitivity analysis. These subroutines are linked to a general purpose computer program which performs dynamic analysis, design sensitivity analysis, and optimization. An example is presented to demonstrate the efficiency of the approach.


2011 ◽  
Vol 314-316 ◽  
pp. 1043-1047
Author(s):  
Guo Yu Hu ◽  
Wen Lei Sun

With the gearbox of a large-scale wind turbine as a study object, the virtual prototype model of gearbox is created based on UG and ADAMS softwares according to its design parameters such as structure and size. By rigid and flexible dynamics analysis for gearbox, the angular velocity and acceleration curves of the in-out shaft are obtained. Gear meshing forces and flexible body stress cloud using ADAMS are also obtained. It is verified that these results are coincided with the theoretical value through analysis and the simulation results of ADAMS are valid. The simulation results show that the design level of wind turbine gearboxes can be improved using the virtual prototype technology and lay a good foundation for further optimal design.


2015 ◽  
Vol 8 (3) ◽  
pp. 639-663 ◽  
Author(s):  
A. Kaveh ◽  
A.A. Aghakouchak ◽  
P. Zakian

2015 ◽  
Vol 811 ◽  
pp. 284-290
Author(s):  
Cătălin Alexandru

The work deals with the dynamic modeling and simulation of a 4-wheel steering vehicle. The steering system for the front wheels is a classical one (with pinion & rack), while for the rear wheels, a new design with rotational cam & translational follower has been developed by considering the integral steering law. The virtual prototype of the vehicle was modeled - simulated by using the MBS software environment ADAMS of MSC. The results of the dynamic analysis prove the performance of the proposed solution, in terms of handling and stability.


2012 ◽  
Vol 197 ◽  
pp. 502-507
Author(s):  
Li Li Dai ◽  
Jing Gang Wang ◽  
Shuang Zhao ◽  
Ya Qiong Deng ◽  
Nan Jia

40t semi-trailer frame is optimized by usage of topological optimization and static/dynamic analysis technology. After the optimization, The static characteristics of frame completely satisfy requirement of intensity and stiffness, and the quality is reduced by 10% compared with the original frame. The dynamic characteristics of the new frame have been improved greatly, which indicate that the optimized frame structure is more reasonable, and lay the foundation for reducing the cost and improving manufacturing efficiency.


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