Font Size: a A A

Based On The Genetic Algorithm Of Main Shaft Hoist Device Reliability Optimization Design

Posted on:2014-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:Z H FengFull Text:PDF
GTID:2241330395491704Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
The winding hoist plays an important role in the hoisting and transportingsystem, and it is one of the four types of frequently-used mining equipments. Toameliorate the underdeveloped state of the reliability optimization design for thewinding hoist in country and improve performance index of the appliance, thepaper has lucubrated the structure of the main shaft equipment which is the keypart in the appliance and established the mathematical optimization model of thespindle device. Traditional optimization methods cannot deal with the discretevariables of the elevator shaft device, only the optimal solution was round,which may lead to get the rounding solutions of non-feasible region. Hybridencoding of genetic algorithm is used to solve the problem. An elitist selectionstrategy of Genetic algorithm is used to avoid the premature phenomenon of theMonte Carlo method.In this paper, genetic algorithm is combined with ANSYS,and the finite element analysis and response surface methods are used to achievethe elevator shaft winding device reliability optimization design. And theappropriate software is developed to meet the reliability and economic needs ofthe hoist. The method has been verified to have good optimization through theelevator shaft device example.Taking VC++as the platform, the reliability optimization design software ofthe elevator shaft device is written. The first,the genetic algorithm is written tocall ansys for parametric modeling, static analysis and reliability analysis. thenthe results of the finite element static analysis and reliability analysis for theelevator shaft device are as constraint conditions to achieve reliabilityoptimization design.The reliability optimization design of the elevator shaft device can achievequickly parametric reliability optimization design, shorten the developmentcycle of new products and improve the design efficiency. At the same time, the finite element is used in the design of the elevator shaft device which can makedesign more reasonable, the calculation more accurate and reliable. The programcan be applied to the same type of products, and it’s application prospect isgood.
Keywords/Search Tags:Winding hoist, The elevator shaft device, Genetic algorithm, Finite-element analysis, Reliability optimization
PDF Full Text Request
Related items