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1.
Wire arc additive manufacturing(WAAM)has been investigated to deposit large-scale metal parts due to its high deposition efficiency and low material cost.However,in the process of automatically manufacturing the high-quality metal parts by WAAM,several problems about the heat build-up,the deposit-path optimization,and the stability of the process parameters need to be well addressed.To overcome these issues,a new WAAM method based on the double electrode micro plasma arc welding(DE-MPAW)was designed.The circuit principles of different metal-transfer models in the DE-MPAW deposition process were analyzed theoretically.The effects between the parameters,wire feed rate and torch stand-off distance,in the process of WAAM were investigated experimentally.In addition,a real-time DE-MPAW control system was developed to optimize and stabilize the deposition process by self-adaptively changing the wire feed rate and torch stand-off distance.Finally,a series of tests were performed to evaluate the con-trol system's performance.The results show that the capability against interferences in the process of WAAM has been enhanced by this self-adaptive adjustment system.Further,the deposition paths about the metal part's layer heights in WAAM are simplified.Finally,the appearance of the WAAM-deposited metal layers is also improved with the use of the control system. 相似文献
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《International Journal of Hydrogen Energy》2022,47(92):39239-39254
The energy management and trajectory tracking control are crucial to realize long-endurance autonomous flight for hybrid electric UAVs. This study aims to comprehensively consider energy management and trajectory tracking for hybrid electric fixed wing UAVs with photovoltaic panel/fuel cell/battery. A double-layer fuzzy adaptive nonlinear model predictive control method (DFNMPC) is proposed. Separated by the surplus demand power, energy management and trajectory tracking problem are decoupled into the high-layer fuzzy adaptive nonlinear model predictive controll problem (H-FNMPC) and low-layer fuzzy adaptive nonlinear model predictive controll problem (L-FNMPC). H-FNMPC solves the trajectory tracking and navigation control probelm for the greatest benefit of solar energy. L-FNMPC solves the power allocation problem of hybrid energy system for minimum equivalent hydrogen consumption. A fuzzy adaptive prediction horizon adjustment method based on UAV maneuvering degree is proposed to effectively improve proposed method adaptability to different mission profiles. Analogously, a fuzzy adaptive equivalent hydrogen consumption factor adjustment method in L-FNMPC is proposed to ensure the flexible utilization of battery. In addition, an equivalent hydrogen flow rate calculation method based on the real-time current ratio is proposed for PV/FC/Battery hybrid energy system. Numerical simulation results including a spiral trajectory tracking and a quadrilateral trajectory tracking, demonstrate that DFNMPC can simultaneously handle energy management and trajectory tracking problem for hybrid electric UAVs. Compared to hierarchical fuzzy state machine strategy, DFNMPC can save 13.3% hydrogen for the spiral trajectory tracking, and 56.9% for the quadrilateral trajectory tracking. It indicates that the energy efficiency can be improved from both levels of energy management and flight motion. The proposed method prospected for exploring high-energy-efficiency autonomous flight of hybrid electric UAVs in the future. 相似文献
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为解决电镀砂轮磨削加工中容屑空间不足的问题,采用点胶微粘接的方法制备了磨料有序排布的电镀砂轮,分析了磨料粘接效果和镀层力学性能。通过SEM分析了磨料/镀层/导电胶的结合界面,并进行了干磨削试验。研究结果表明,直径约为磨料粒径40%的胶点可粘接住磨料,单个胶点上粘接多颗磨料的占比小于6%;双脉冲电镀工艺制备的镀层显微硬度大于500HV,表层残余应力小于100MPa,磨料/镀层/导电胶之间的界面贴合紧密,无明显缺陷;砂轮在磨削时没有出现磨料脱落现象。 相似文献
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单自由度八杆仿生机构杆长参数较多,是仿生机器人领域研究的难点之一。为提高设计效率,提出一种构型与尺度同步设计方法。在选定的运动链和机架的基础上,以不等式形式分步给出运动可行性及外形约束条件,使得上一步的杆长可作为下一步求解的已知值。通过该过程,在得到八杆仿生机构构型的同时,快速得到所有杆长的初步可行域。循环上述过程,逐步缩小约束条件的范围,可使得八杆机构的杆长快速接近目标值。在此基础上,分类讨论了连杆搭接顺序、约束条件及基本运动链的差异对求解难度及构型结果的影响。利用所提出的单自由度八杆仿生机构的设计方法,在对初始条件进行合理选取的前提下,可在初步得到构型的同时将杆长限定在较小范围内,实现了构型与尺度的同步设计。该方法还可应用于其他单自由度机构的设计当中,具有较好的借鉴意义。 相似文献
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Being the main driver of innovation in the automotive industry, vehicle software calls for more efficient tools for its development. Safety-critical applications are predominantly written respecting the AUTOSAR standard, where tasks comprise code-fragments called runnables, and deployed on multi-core architectures. However, task parallelization introduces a substantial number of idle intervals, as runnables have to be mapped and scheduled at design-time without violating data dependencies. In parallelized event-triggered tasks, these intervals are utilized by migrating runnables from the interrupted time-triggered tasks. We propose to also migrate runnables from consecutively scheduled tasks and additionally, to maximize their number using DPM-aware application scheduling. 相似文献
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高管团队决策绩效是提高企业创新能力、把握发展机遇、获得持续竞争力的关键因素之一。通过对调味品上市企业2016-2018年财务年报的具体分析,基于描述性统计分析与分步多元线性回归分析的方法,探讨了高管团队异质性、沟通频率以及决策绩效之间的互动机理。结果表明,高管团队男性比例、专业、职业背景异质性与沟通频率呈正相关,年龄、任期异质性与沟通频率呈负相关,沟通频率正向调节高管团队异质性与决策绩效的关系,并进一步增强高管团队异质性效能。研究结果对目前激烈竞争环境下调味品企业组建高管团队及优化管理沟通具有启示意义。 相似文献
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