{"title":"Intelligent Design of Hydraulic Manifold Block Based on Genetic Algorithm","authors":"Bi Yongmin, Zeng Jianbin, Chen Qifan, L. Mengru","doi":"10.1109/ICACMVE.2019.00012","DOIUrl":null,"url":null,"abstract":"The problem about how to arrange the valve block and how to connect the hole for the hydraulic manifold block has the characteristics of high complexity and strong coupling, which is the key to the hydraulic manifold block design. In this article, a genetic algorithm is designed to quickly find the global optimal solution of the problem. The basic mathematical models of the hydraulic manifold block are established, including the minimum wall thickness check model, the shape interference check model and the connection model of holes. In order to process constraints, a concept of taboos is defined. The fitness function of the genetic algorithm is calculated based on the mathematical models and the taboo value. The feasibility of the genetic algorithm is evaluated by designing a hydraulic manifold block of the left front leg of the spider-type aerial work vehicle.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACMVE.2019.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The problem about how to arrange the valve block and how to connect the hole for the hydraulic manifold block has the characteristics of high complexity and strong coupling, which is the key to the hydraulic manifold block design. In this article, a genetic algorithm is designed to quickly find the global optimal solution of the problem. The basic mathematical models of the hydraulic manifold block are established, including the minimum wall thickness check model, the shape interference check model and the connection model of holes. In order to process constraints, a concept of taboos is defined. The fitness function of the genetic algorithm is calculated based on the mathematical models and the taboo value. The feasibility of the genetic algorithm is evaluated by designing a hydraulic manifold block of the left front leg of the spider-type aerial work vehicle.