Ni60A and WC Wear Resistance Test Optimization Analysis

Qiu Xin-wei, L. Yaqin, Wang Junfa, Ge Yiyuan, Wen Xiaoxin
{"title":"Ni60A and WC Wear Resistance Test Optimization Analysis","authors":"Qiu Xin-wei, L. Yaqin, Wang Junfa, Ge Yiyuan, Wen Xiaoxin","doi":"10.1109/ICSGEA.2018.00075","DOIUrl":null,"url":null,"abstract":"Wear is the main reason for the failure of agricultural machinery, which has become an important constraint factor for the development of high speed and large scale tillage machinery in China. The annual economic loss is more than 15 billion yuan. A plow shovel field soil touching parts as the key parts of tillage machinery, improving the wear resistance and reliability can save farming time and economic benefit. The field of deep plowing plow test was carried out in Beixing farms from Qitaihe city, Heilongjiang province. The optimal design method of three factor and five level orthogonal regression rotation center group was adopted in the experiment. The operation speed, tillage depth and penetration angle as the influence factors, to wear surfacing plow shovel as objective function, data processing and analysis using Design-Exper8.0.5 software to determine the optimal parameters of welding operation of deep plowing plow shovel. The field test shows that the wear resistance of the wear resistant plough is good, and the service life is 2.58 times higher than that of the market. Through the field contrast test found that plasma surfacing abrasion and plough shovel's performance is good, the service life of the average is 2.58 times higher than ordinary plough shovel market.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2018.00075","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

Wear is the main reason for the failure of agricultural machinery, which has become an important constraint factor for the development of high speed and large scale tillage machinery in China. The annual economic loss is more than 15 billion yuan. A plow shovel field soil touching parts as the key parts of tillage machinery, improving the wear resistance and reliability can save farming time and economic benefit. The field of deep plowing plow test was carried out in Beixing farms from Qitaihe city, Heilongjiang province. The optimal design method of three factor and five level orthogonal regression rotation center group was adopted in the experiment. The operation speed, tillage depth and penetration angle as the influence factors, to wear surfacing plow shovel as objective function, data processing and analysis using Design-Exper8.0.5 software to determine the optimal parameters of welding operation of deep plowing plow shovel. The field test shows that the wear resistance of the wear resistant plough is good, and the service life is 2.58 times higher than that of the market. Through the field contrast test found that plasma surfacing abrasion and plough shovel's performance is good, the service life of the average is 2.58 times higher than ordinary plough shovel market.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Ni60A和WC耐磨性试验优化分析
磨损是造成农业机械故障的主要原因,已成为制约中国高速大型化耕作机械发展的重要因素。每年的经济损失超过150亿元。犁铲田土接触部件作为耕作机械的关键部件,提高耐磨性和可靠性可以节省耕作时间和经济效益。在黑龙江省七台河市北兴农场进行了深耕犁田间试验。试验采用三因素五水平正交回归旋转中心组的优化设计方法。以作业速度、耕作深度和穿透角度为影响因素,以耐磨堆焊犁铲为目标函数,利用Design-Exper8.0.5软件对数据进行处理和分析,确定堆焊犁铲焊接作业的最佳参数。现场试验表明,该耐磨犁的耐磨性好,使用寿命比市场上的耐磨犁高2.58倍。通过现场对比试验发现,等离子堆焊抗磨损犁铲的性能良好,使用寿命平均比市场上普通犁铲高2.58倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on Medium-Long Term Power Load Forecasting Method Based on Load Decomposition and Big Data Technology Design and Implementation of Intelligent Kitchen System Based on Internet of Things Condition Maintenance on Secondary Equipment of Relay Protection in Substation Information Acquisition Structure of Internet of Things Based on Intelligent Gateway between ZigBee and Ethernet Preliminary Study on a Fiber Optic Extrinsic Fabry-Perot Interferometer Sensor of Acoustic Detection for Partial Discharge
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1