The overlay plays an important role in chip manufacturing for all technology nodes, but controlling it becomes increasingly difficult when the process node is less than 7nm or the number of 3D layers exceeds 100. The ...
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Customer resource is an important lifeline for the survival and development of enterprises. In the context of the rapid expansion of China's automobile sales market, with the deepening and refinement of enterprise...
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The process operation of industry units generally has multiple modes, and the previous methods of fault diagnosis often need to first divide the data and then determine the specific mode situation. A multi-mode fault ...
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A macroscopic model that considers the shift to lactate consumption is proposed to simulate the therapeutic proteins produced by mammalian cells using human embryonic kidney 293 cells (HEK293-6E) cultures. The macrosc...
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Facial affect analysis is essential for understanding human expressions and behaviors, encompassing action unit (AU) detection, expression (EXPR) recognition, and valence-arousal (VA) estimation. The CVPR 2023 Competi...
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The proceedings contain 219 papers. The topics discussed include: robust physical quantities estimation for diesel engine emission reduction using sensor fusion;distributed average consensus and abstract control;data-...
ISBN:
(纸本)9781665473385
The proceedings contain 219 papers. The topics discussed include: robust physical quantities estimation for diesel engine emission reduction using sensor fusion;distributed average consensus and abstract control;data-driven feed-forward control of hydraulic cylinders using gaussian process regression for excavator assistance functions;modeling and validation of an oleo-pneumatic damper with mechatronic subsystems for CS-23 general aviation aircraft;probabilistic revenue analysis for electric vehicle charging;order reduction of a nonlinear convection-dominated model of heart valve tissue maturation;a delay analysis for distributed model predictive control on vehicles platooning through a low-cost hardware-in-the-loop testbed;optimum design of overflow system to prevent gas defects considering the direction of molten metal flow;terrain-based vehicle localization using an active suspension system;data-driven control algorithms for shape memory alloys;on the practical use of a PID-based control scheme for automatic control of general anesthesia;and guided policy search based control of a high dimensional advanced manufacturing process.
The integrated energy system connects various types of energy closely to form a complex multi-energy flow network to improve energy quality and support large-scale renewable energy access. To study the technologies of...
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Thanks to the increasingly widespread additive manufacturing technology and promising properties, the use of Lattice Structures (LS) is becoming increasingly frequent. LS allows the components to be designed with tuna...
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ISBN:
(纸本)9780791887066
Thanks to the increasingly widespread additive manufacturing technology and promising properties, the use of Lattice Structures (LS) is becoming increasingly frequent. LS allows the components to be designed with tunable stiffness, which can unlock the control of natural frequencies. However, crucial challenges must be faced to integrate LS into the typical design process. In the present work, an experimental and numerical study of LS-enabled tuning of natural frequencies in mechanical components is proposed. In a first step, the difficulties arising with the large amount of FEM nodes, that are required to predict LS complex shapes in detail, are overcome by modeling LS with an elastic metamaterial whose stiffness properties are determined through ad hoc finite element analyses. After that, a simplified investigation can be conducted on the modal properties of components with fixed external shape and variable internal LS filling, based on Triply Periodic Minimal Surfaces (TPMS) lattices. In those conditions, the parameters of the LS core can be tuned to control and optimize the global modal frequencies of the entire geometry. In addition, the admissible range of frequencies can be estimated. Optimized plates results are validated through an experimental test campaign on additively manufactured specimens made with Selective Laser Melting (SLM) technology. The samples are hammer-tested with various boundary conditions while laser sensors measure the oscillation data of selected points. Finally, estimated and identified natural frequencies were compared. The described model is suitable to be implemented in an automated tool for designers.
In this work, the comparison between type 1 and type 2 fuzzy logic systems is presented when modeling a process that consists of preparing paint, which works as a coating for the sand cores in the foundry process for ...
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In order to effectively compensate the graph image drift problem generated in the photoelectric stabilized platform operational process, this paper uses a numerical control technology based on the Verilog language alg...
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