KEYWORDS: Design and modelling, Modeling, 3D modeling, 3D applications, Statistical modeling, Process modeling, Mathematical modeling, Data modeling, Algorithm development, Visualization
The automobile transmission box has a complex structure and many features. To improve the design efficiency of automobile transmission, shorten the production cycle and meet the personalized requirements of products, the rapid variation of automobile transmission was studied, and a method of rapid variation of automobile transmission based on feature modularization was proposed. This method introduces the idea of feature modularization, modularizes the model features, then builds the transmission variation template based on the construction of the module sketch, combines it with the relevant software modeling methods, and finally builds the transmission rapid variation platform with the NX secondary development technology. The effectiveness and reliability of this method are verified by a concrete example.
A trajectory planning method for automatic shoveling is proposed to achieve energy saving and efficiency improvement when the loader performs automatic shoveling operations. Firstly, the planning of the shoveling trajectory is based on the matching shoveling method. Then the automatic shovel operation test was conducted to obtain relevant operational performance parameters according to different shovel depths. A shovel trajectory optimization method is proposed based on modified parabolic interpolation of test data. The test results of shovel trajectory planning showed that the error was reduced from 9.1% to 0.6% after optimization. And according to the optimized trajectory for automatic shoveling compared with manually controlled shoveling, the operating time increased by 2.29%, the shoveling weight decreased by 3.2%, and the unit shoveling fuel consumption decreased by 11.29%. The test results and calculation process show that the method can quickly find the optimized shoveling trajectory, effectively reducing the operation's energy consumption.
KEYWORDS: Sensors, Resistance, Control systems, Data processing, Data acquisition, Data storage, Cooling systems, Analytical research, Measurement devices, Energy efficiency
This paper developed a loader scooping performance test platform to obtain basic data on the performance parameters of the scooping process for the study of loader energy-saving technology from the optimization of the working process. Firstly, the test methods of scoop trajectory and bucket insertion angle, operation resistance, energy consumption of loader systems, scoop full bucket coefficient, and other parameters are studied. Then, based on the power system of the loader, a testing platform for the performance of the loader is developed, which is equipped with testing sensors and self-developed measuring devices. The parameters such as force of pin, pressure and flow of hydraulic system, displacement of cylinder, etc. During the shoveling operation of the loader are collected in real time by the sensors arranged on the platform and the relevant testing methods to calculate the performance parameters of the loader shoveling operation, and through automatic scooping and material preparation to ensure the repeatability of the test. Finally, relevant data is obtained through experiments, and the successful development of the loader shovel performance test platform is proved.
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