基于多目標(biāo)遺傳算法NSGA-Ⅱ的串聯(lián)齒輪機(jī)構(gòu)變位系數(shù)優(yōu)化
發(fā)布時(shí)間:2018-05-19 23:00
本文選題:齒輪 + 變位系數(shù) ; 參考:《機(jī)械傳動(dòng)》2016年06期
【摘要】:為研究串聯(lián)齒輪變位系數(shù)的合理分配問(wèn)題,以中心距偏差和齒頂高變動(dòng)系數(shù)為優(yōu)化目標(biāo),同時(shí)考慮加工時(shí)不發(fā)生根切、齒頂不過(guò)薄、保證一定的重合度和不產(chǎn)生過(guò)渡曲線干涉等4個(gè)約束條件,建立了多目標(biāo)優(yōu)化模型。然后采用多目標(biāo)遺傳算法NSGA-Ⅱ?qū)δ繕?biāo)函數(shù)進(jìn)行求解,最終實(shí)現(xiàn)了串聯(lián)齒輪變位系數(shù)的優(yōu)化。研究表明,用這種方法進(jìn)行串聯(lián)齒輪機(jī)構(gòu)變位系數(shù)的分配行之有效,優(yōu)化后的齒輪變位系數(shù)符合工程實(shí)際,很好地滿足了設(shè)計(jì)要求。
[Abstract]:In order to study the rational distribution of the variation coefficient of the series gear, the multi objective optimization model was established by taking the center distance deviation and the change coefficient of the tooth top height as the optimization objective, and considering the 4 constraints, such as without root cutting, the tooth top thin, guaranteed a certain degree of coincidence and without the interference of the transition curve. The algorithm NSGA- II solves the target function and finally realizes the optimization of the variable coefficient of the series gear. The study shows that this method is effective for the distribution coefficient distribution of the series gear mechanism. The optimized gear displacement coefficient meets the engineering practice, and it satisfies the design requirements well.
【作者單位】: 西北機(jī)電工程研究所;
【分類號(hào)】:TH132.41
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 顏煃;;對(duì)“對(duì)於變位系數(shù)的選d荱O楲的,
本文編號(hào):1912052
本文鏈接:http://sikaile.net/kejilunwen/jixiegongcheng/1912052.html
最近更新
教材專著