DocumentCode
551567
Title
Optimization design of hydraulic scrap iron&steel grasping crane based on virtual prototype
Author
Da-lin, Zhu ; Jin-yi, Qin ; Hong-mei, Wang ; Jin, Huang ; Ming-song, Zhang
Author_Institution
Coll. of Mech. & Mater. Eng., China Three Gorges Univ., Yi Chang, China
Volume
1
fYear
2011
fDate
20-21 Aug. 2011
Firstpage
242
Lastpage
245
Abstract
In order to solve the problem of consumed power due to the unreasonableness of structure size dimension on the basis of the experience design, this paper proposes a method by applying virtual prototype technique based on ADAMS, a virtual prototype model of such fixed hydraulic scrap iron&steel grasping crane based on virtual is developed, and the accuracy of the model can be proved by comparing the theoretical locus of mathematical models with simulation ones; To enhance the mechanism´s operational performance and reduce the movement of the driving power, set the locus range under technical parameters and the installation size of hydraulic cylinders as optimize constraints. The size and hinge position of the luffing mechanism are respectively optimized with OPTDES-SQP algorithm. The results show that the research method is practical, the luffing mechanism achieves the purpose of optimization, and the forces of hydraulic cylinders have decreased obviously.
Keywords
CAD; cranes; hydraulic systems; iron; mechanical engineering computing; power transmission (mechanical); scrap metal; steel; virtual prototyping; ADAMS; OPTDES-SQP algorithm; driving power movement reduction; hydraulic cylinders; hydraulic scrap iron-and-steel grasping crane; luffing mechanism; optimization design; virtual prototype technique; Cranes; Fasteners; Grasping; Mathematical model; Optimization; Prototypes; Solid modeling; Luffing mechanism; Optimization; Scrap Iron&Steel Grasping Crane; Simulation; Virtual Prototype Technique;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9599-3
Type
conf
DOI
10.1109/CCIENG.2011.6008003
Filename
6008003
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