摘要
在对抓斗的斗体强度进行分析时,存在操作繁琐和重复性较高的问题,因此结合Hypermesh软件的二次开发功能和C#面向对象方法,开发了一套抓斗斗体强度分析流程的自动化系统。首先,通过运用常规的有限元分析方法建立了斗体有限元模型,分析了斗体在4种不同挖掘深度下的受力情况,并在此基础上对斗体进行了强度分析;然后,运用C#面向对象方法开发了自动化系统界面,以底层代码库为基础,将系统界面与Hypermesh、Optistruct和HyperView各软件连接,搭建了斗体强度分析流程的自动化系统,并采用不同类型的斗体以验证该自动化系统的可操作性;最后,采用常规分析方法和系统分析方法对4种不同挖掘深度下的斗体强度进行了误差结果的对比分析。研究结果表明:采用常规分析法和系统分析法所获得的最大应力值相差0.01 MPa,应力值误差约为1%;该结果说明此自动化系统可以为斗体强度分析提供操作简单且运行高效的流程自动化解决方案。
Aiming at the problems of cumbersome operation and high repeatability of grab bucket strength analysis,combining with the secondary development function of Hypermesh and the object-oriented method of C#,a set of process automatic system was developed.Firstly,the finite element model of grab bucket was established by using conventional finite element analysis method,and the force of the grab bucket was analyzed in four different digging depths.Based on the analysis of force,the strength analysis of the grab bucket was performed.Then,the system graphical user interface was built by using the C#object-oriented method,the system graphical user interface was connected with Hypermesh,Optistruct and Hyperview software based on the underlying code,and the automated system for grab bucket strength analysis process was developed.Different types of grab bucket were analyzed to verify the operability of the system.Lastly,in four different excavation depths,conventional finite element analysis method and the system analysis method were used to evaluate the error analysis of system.The results indicate that the maximum stress obtained by the two different methods differs by 0.01 MPa,and the error analysis of the stress is about 1%.The system can provide a simple and efficient process automatic solution for grab bucket strength analysis.
作者
赵霞
刘学文
ZHAO Xia;LIU Xue-wen(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《机电工程》
CAS
北大核心
2021年第11期1479-1485,共7页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(51675324)
上海市地方能力建设资助项目(19030501100)
新能源汽车振动噪声测试与控制专业技术服务平台资助项目(18DZ2295900)。
