This paper reviews recent developments of the soft abrasive flow finishing (SAF) method in constraint space. The multiphase fluid dynamics modeling, materi

Great advances have been made with the lattice Boltzmann (LB) method for complicated fluid phenomena and fundamental thermal processes over the past three decades. This paper presents a systematic overview of the LB method from 1990 to 2018, based on bibliometric analysis and the Science Citation Index Expanded (SCI-E) database. The results show that China took the leading position in this field, followed by the USA and UK. The Chinese Academy of Sciences had the most publications, while the Los Alamos National Laboratory was first as far as highest average citation per paper and h-index are concerned. Physical Review E was the most productive journal and "Mechanics" was the most frequently used subject category. Keyword analysis indicated that recent research has focused on the natural convection and heat transfer of nanofluid or multiphase flow in complex porous media. Hydrothermal treatment of nanofluid with shape factor on the conditions, such as variable magnetic fields, thermal radiation and slipping boundary, were the research hotspots. Further research perspectives mainly explore the multiscale models for coupling multiple transport phenomena, morphology optimization of porous parameters, new nanoparticles with shape factor, multicomponent LB method considering Knudsen diffusion effect, LB-based hybrid methods, radiation performance or boiling-heat transfer of nanofluid, and the active control of droplets, may continue to attract more attention. Moreover, some new applications, such as phase change of metal foam, erosion induced by nanaofluid, anode circulating, 3D modeling in thermal systems with vibration, and magnetohydrodynamics microfluid devices, could be of interest going forward.

For the matters of efficiency and robustness, current client/server (C/S) or multi-agent (MA) based embedded database systems are hard to match the quality of service (QoS) of distributed industry monitoring. To address the issues, an embedded cloud database service (ECDBS) method is proposed. Firstly, an ECDBS framework is constructed, and a dual-timing transaction control (DT2C) method is proposed to increase the real-time performance and stableness of transaction processing. Then, a cloud computing middleware sub-system is developed to perform dynamical device management and real-time DB query, and a distributed network sniff-timing scheduling (DNS2) algorithm is proposed to improve the efficiency of ECDBS system. Finally, the numerical/ industrial experiment results show that the DT2C method can improve the real-time performance of transaction processing in a condition that guaranteed the accessing stability, and the data transfer rate can reach more than 20 MB/s; the DNS2 algorithm can perform the better throughout and time delay, and decrease the power consumption; compared with the MySQL and Berkeley DB, the total transaction processing time can decrease 45.5%, 36.7%.