摘要
为改善汽车起重机伸缩系统用某型号平衡阀的内泄问题,对某型号平衡阀进行结构分析,得出与平衡阀密封性能直接相关的零件和工艺参数。通过测量系统分析(MSA)验证测量系统的可靠性;通过过程能力分析得出加工能力不足的工艺参数,由此确定平衡阀内泄的原因;结合平衡阀生产工序,运用因果矩阵(CE矩阵)和潜在失效模式及后果分析(FMEA)筛选出32个可能因子,即可能影响参数的工序,其中19个因子可即时改善,改善后平衡阀制造质量明显提高;运用假设检验对剩余13个因子与工艺参数的相关性进行验证,进一步筛选出8个相关因子;最终对8个因子进行试验求得最优的进给量,最佳转速和加工规律,加入至生产加工过程中,内泄故障反馈率由4.72%降至2.35%,有效改善了平衡阀内泄问题。
To improve the internal leakage of the balance valve used in the telescopic system of the truck crane,this paper analyzes the structure of the balance valve,and obtains the parts and process parameters directly related to the sealing performance of the balance valve;Verify the reliability of the measurement system through the measurement system analysis(MSA);Through process capability analysis,the process parameters of insufficient processing capability are obtained,and the cause of internal leakage of balance valve is determined;Combined with the production process of balance valve,32 possible factors were screened by using the CE matrix and the potential failure mode and effect analysis(FMEA),of which 19 factors could be improved immediately,and the effect after improvement was significant,and the balance valve manufacturing process was significantly improved;Use hypothesis test to verify the correlation between the remaining 13 factors and process parameters,and further screen out 8 relevant factors;Finally,eight factors were tested to obtain the optimal feed rate,optimal speed and processing law.When added to the production and processing process,the feedback rate of internal leakage failure decreased from 4.72% to 2.35%,effectively improving the internal leakage of balance valve.
作者
翟新颖
刘庆教
李永奇
陈晋市
ZHAI Xin-ying;LIU Qing-jiao;LI Yong-qi;CHEN Jin-shi(Xuzhou XCMG Hydraulics Co.,Ltd.,Xuzhou 221004,China;School of Mechanical and Aerospace Engineeringr Jilin University,Changchun 130025,China)
出处
《液压气动与密封》
2023年第8期113-117,共5页
Hydraulics Pneumatics & Seals
基金
2022年江苏省科技成果转化项目(BA2022032)。
关键词
平衡阀
测量系统分析
过程能力分析
因果矩阵
潜在失效模式及后果分析
假设检验
balance valve
measurement system analysis
process capability analysis
C&E matrix
potential failure mode and effect analysis
hypothesis test