6156-T4铝合金焊接加筋薄壁结构剩余强度评估的CTOD方法

为保证飞机设计满足损伤容限性能要求,有必要对其进行剩余强度评估。针对6156-T4铝合金焊接连接薄壁结构进行了R曲线和剩余强度试验,判断了裂纹扩展经过筋条时的裂纹扩展路径,测量了母板和筋条两个方向的裂纹扩展速率,并采用不同的断裂准则和分析方法对单及双跨度多个初始裂纹长度焊接加筋薄板的剩余强度进行了预测。结果表明:裂纹扩展在经过筋条时,同时沿着母板和筋条继续扩展,筋条上的裂纹扩展方向垂直于母板且两个方向的裂纹扩展速率基本相同;采用净截面屈服准则进行剩余强度预测时会低估这种韧性较好的焊接连接薄壁结构的剩余强度;基于SINTAP-FITNET评价体系,以裂纹尖端张开位移(CTOD-δ5)作为裂纹尖端弹塑性表征参量进行剩余强度预测时,预测结果比采用K曲线预测方法精度高。     

角振动校准装置研究

为提升对惯性器件的动态性能评价能力,通过对被校传感器施加标准正弦角振动激励,精确测量角振动过程,实现了对角振动传感器的校准。基于不同频段的特点,将校准频段划分为低频和高频2部分,并提出空气轴承与无刷直流力矩电机相结合的低频角振动台方案,以及轻质空心杯精密空气轴承与框式电磁驱动结构相结合的高频角振动台方案;分别采用精密角度编码器和衍射光栅激光干涉仪实现对低频和高频角振动的测量,成功研制出频率范围为0.25~550Hz、角加速度范围为0.1~1 760rad/s2以及角速度波形失真小于2%的角振动绝对法校准装置。与德国国家物理技术研究院的角振动校准装置相比,该装置能够显著提升承载能力,可广泛用于惯性器件动态性能的测试与评价。     

直接侧向力/气动力复合控制影响因素研究

为分析直接侧向力/气动力复合控制中的影响因素对控制效果的影响,给出了复合控制拦截器的典型布局,建立了直接侧向力/气动力复合控制分配模型;采用自适应动态逆方法形成虚拟控制律实现拦截器姿态控制,并进行了仿真验证与分析。仿真结果表明,不同发动机总数、发动机开关机周期和推力大小等因素对最终控制效果有直接的影响,且发动机开关机周期与推力的共同作用对控制效果影响明显。     

含裂纹金属薄板的断裂韧度与剩余强度研究

为了探究影响含裂纹铝合金薄板材料断裂韧度、剩余强度的几何因素以及韧性材料的断裂机理,对典型航空铝合金2524-T3薄板,采用不同宽度、不同初始裂纹长度的中心裂纹板试样进行试验,测定材料的K-R阻力曲线,确定平面应力断裂韧度Kc和表观断裂韧度Kapp.试验结果表明:对于薄板结构,K-R阻力曲线与板宽相关;试件宽度、初始裂纹长度对断裂韧度和表观断裂韧度的确定都有影响,且板宽度的影响较大.基于上述结论,推荐两种可同时反映韧性材料断裂中的净截面屈服效应和韧性撕裂过程的剩余强度预测方法.     

复合材料加筋壁板的两步优化法

通过采用辅助层压板和添加极小弹性模量材料的复合材料加筋壁板有限元建模方法,应用MSC．PAT－RAN／NASTRAN的参数化建模与遗传算法相结合的复合材料加筋壁板的两步优化方法,对复合材料T型加筋壁板进行了从2000 N／mm到6000 N／mm压缩载荷下的结构优化分析。提出的基于参数化模型和遗传算法的复合材料加筋壁板的两步优化法分为壁板级优化和层压板级优化两部分,在壁板级优化得到最优的结构尺寸参数,在层板级优化得到最优的层压板铺层顺序。     

直升机起飞性能试飞方法研究

当直升机可用功率不足以维持地效外悬停时,直升机可以利用地面效应增速至一定前飞速度完成起飞。研究了地面效应和前飞速度对直升机剩余功率的影响,阐述了利用剩余功率进行有地效起飞的原理。介绍了3种有地效起飞方式,并使用水平加速—定速爬升法进行了起飞性能飞行试验,得到了水平越障距离随爬升速度的变化曲线,对飞行试验结果进行了分析,得到了有益的结论。     

直升机运输效能试飞技术研究

对直升机运输效能进行了理论分析,给出了直升机各项运输效能指标的计算方法。利用试验机进行了直升机运输效能试飞,最后给出了直升机各项运输效能指标的飞行试验结果。对于后续的直升机运输效能试飞和直升机运输效能评估等工作具有重要的参考价值。     

Practical compensation for nonlinear dynamic thrust measurement system

The real dynamic thrust measurement system usually tends to be nonlinear due to the complex characteristics of the rig, pipes connection, etc. For a real dynamic measuring system,the nonlinearity must be eliminated by some adequate methods. In this paper, a nonlinear model of dynamic thrust measurement system is established by using radial basis function neural network(RBF-NN), where a novel multi-step force generator is designed to stimulate the nonlinearity of the system, and a practical compensation method for the measurement system using left inverse model is proposed. Left inverse model can be considered as a perfect dynamic compensation of the dynamic thrust measurement system, and in practice, it can be approximated by RBF-NN based on least mean square(LMS) algorithms. Different weights are set for producing the multi-step force, which is the ideal input signal of the nonlinear dynamic thrust measurement system. The validity of the compensation method depends on the engine’s performance and the tolerance error0.5%, which is commonly demanded in engineering. Results from simulations and experiments show that the practical compensation using left inverse model based on RBF-NN in dynamic thrust measuring system can yield high tracking accuracy than the conventional methods.     

Specific grinding energy and surface roughness of nanoparticle jet minimum quantity lubrication in grinding

Nanoparticles with the anti-wear and friction reducing features were applied as cooling lubricant in the grinding fluid. Dry grinding, flood grinding, minimal quantity of lubrication（MQL）, and nanoparticle jet MQL were used in the grinding experiments. The specific grinding energy of dry grinding, flood grinding and MQL were 84, 29.8, 45.5 J/mm³, respectively. The specific grinding energy significantly decreased to 32.7 J/mm³ in nanoparticle MQL. Compared with dry grinding, the surface roughness values of flood grinding, MQL, and nanoparticle jet MQL were significantly reduced with the surface topography profile values reduced by 11%, 2.5%, and 10%,respectively, and the ten point height of microcosmic unflatness values reduced by 1.5%, 0.5%,and 1.3%, respectively. These results verified the satisfactory lubrication effects of nanoparticle MQL. MoS₂, carbon nanotube（CNT）, and ZrO₂ nanoparticles were also added in the grinding fluid of nanoparticle jet MQL to analyze their grinding surface lubrication effects. The specific grinding energy of MoS₂ nanoparticle was only 32.7 J/mm³, which was 8.22% and 10.39% lower than those of the other two nanoparticles. Moreover, the surface roughness of workpiece was also smaller with MoS₂ nanoparticle, which indicated its remarkable lubrication effects. Furthermore,the role of MoS₂ particles in the grinding surface lubrication at different nanoparticle volume concentrations was analyzed. MoS₂ volume concentrations of 1%, 2%, and 3% were used.Experimental results revealed that the specific grinding energy and the workpiece surface roughness initially increased and then decreased as MoS₂ nanoparticle volume concentration increased.Satisfactory grinding surface lubrication effects were obtained with 2% MoS₂ nanoparticle volume concentration.     

考虑输入饱和与姿态角速度受限的航天器姿态抗退绕控制

 针对航天器姿态控制过程中同时存在输入饱和与姿态角速度受限的问题,提出了一种新型的姿态控制设计方法。该方法在保证系统渐近稳定的前提下,能够显式地给出输入力矩和姿态角速度的最大幅值,并通过引入一个时变锐度参数来增强系统对外部干扰的抑制能力;在此基础上,进一步考虑了由于四元数的冗余性所导致的退绕问题,设计了一组新的姿态偏差函数和偏差向量,使得控制器在满足上述约束的同时还具有抗退绕的优点。仿真结果表明,所提算法能够同时满足输入饱和与姿态角速度受限的约束,并且在较大外部干扰的情况下表现出了很强的鲁棒性,同时成功地规避了退绕现象。该算法为存在多重约束的航天器姿态控制问题提供了一个新的思路和解决方案,具有很好的实际应用价值。