Grid-reinforced metal matrix composites featuring tailorable mechanical properties pose significant challenges to additive manufacturing due its co-controlling reinforcement structure and interfacial formation issues. Here, a dense steel grid-reinforced aluminum composite was successfully prepared by wire-based friction stir manufacturing. No internal defects, like porosity, grid breakage, or interface cracking, were detected, the reinforcing grids kept predefined orientation without...

Magnetorheological–chemical-polishing tests are carried out on single-crystal silicon carbide (SiC) to study the influence of process parameters polishing effect, predict results via a back propagation (BP) neural network, and construct model processing material removal rate (MRR) surface quality. Magnetorheological–chemical employs mechanical coupled with chemical action, synergistic effect both actions can achieve an improved effect. The show that increasing abrasive particle size,...

It is generally accepted across industries that when mobile communication network evolve to the sixth generation (6G), it will not only further improve performance indexes, but also enable seamless global coverage. However, for every evolution of network, operators face significant cost challenges. Non-terrestrial (NTN) an effective solution. breaks constraint reliance on terrestrial infrastructure by introducing satellite allowing achieve 6G objectives with lower costs. This paper proposes...

In the request for sustainable development in complex components manufacturing, designing room-temperature high-plasticity material with simpler alloys becomes paramount. Here, pure aluminium composed of homogenously equiaxed grain was achieved by wire-based friction stir additive exhibiting an ultimate tensile strength 143 MPa and a uniform elongation 52.1%. The significant enhancement plasticity attributed to grains sustaining huge plastic strains via boundary sliding rotation....

Misalignment errors (MEs) in multiple degrees of freedom (multi-DOFs) at the mesh position will lead to a change time-varying stiffness (TVMS) and then affect dynamic behaviour gear pairs. Therefore, new, more rapid, three-dimensional analytical model for TVMS calculation pairs with three rotational translational MEs is established this paper, new solution method based on potential energy theory presented. In addition, correctness verified by finite element (FEM). Moreover, effective contact...

Compliant constant-force mechanisms (CCFMs) are compliant that provide nearly constant forces over prescribed deflection ranges. This study proposes a topology optimization method for designing hinge-free constant-output-force mechanisms. Bifurcation cause the objective function to oscillate, leading convergence failure. Therefore, constraint preventing bifurcation in is proposed. Moreover, minimum scale extends design domain utilized proposed algorithm. The relationship between length and...

Finger gesture recognition using surface electromyography (sEMG) became an efficient Human-Robot Interaction (HRI) solution. Although Machine Learning (ML) techniques are widely applied in this field, the general solutions for labeling and collecting big datasets impose time-consuming implementation heavy workloads. In paper, a new deep learning structure, namely three-dimensional convolutional long short-term memory neural networks (3D-CLDNN) finger identification based on depth vision sEMG...

Manufacturing error and assembly should be taken into consideration during evaluation analysis of accurate product performance in the design phase. Traditional tolerance methods establish propagation model based on dimension chains with values being regarded as boundaries, obtain limit target feature through optimization or conducting statistical domain boundary. As deviations (TF) degrees freedom (DOF) have coupling relations, all DOF may not obtained, even though these constitute basis for...

In this paper, a novel hybrid triply periodic minimal surface (TPMS) core with nonlinear transition region was designed by combining two types of TPMS (Diamond and Schwarz P) structures using the sigmoid function. The width precisely regulated adjusting gradient control parameter r in Composite sandwich (CSS) were fabricated bonding carbon fiber reinforced polymer (CFRP) face sheets to 3D printed polylactic acid (PLA) core. bending performance failure mechanisms CSSs cores analyzed through...

With the acceleration of process modern urbanization and improvement residents' material living standards, flow people in public space is gradually becoming saturated. The monitoring equipment places records a huge amount information all time, but due to crowds tend be dense crowded. Traditional machine learning cannot make accurate efficient identification large number crowds, if deep technology can used crowded crowd captured by surveillance camera accurately identify places, it provides...

With the rise of ``metaverse'' and rapid development games, it has become more critical to reconstruct characters in virtual world faithfully. The immersive experience is one most central themes ``metaverse'', while reducibility avatar crucial point. Meanwhile, game carrier metaverse, which players can freely edit facial appearance character. In this paper, we propose a simple but powerful cross-domain framework that fine-grained 3D from single-view images an end-to-end manner. Different...

Among current approaches to tolerance analysis in three-dimensional space, the Matrix method based on rigid body kinematics is widely used. However, this ignores impact a feature (TF) may get from variations of TFs before it, therefore showing its demerits when applied long and complex dimension chains. For reason, paper puts forward new model where two local coordinate systems are built at each TF: nominal one datum TF tracking prior TFs. Then all along chain accumulated. Compared with...

Power system short circuit and fault current detection breaker is a hybrid produced the basis for action, rapid methods effectiveness of direct impact on switch performance. In this paper neural network short-circuit detection, simulation results show that method effective fast.

Diverse new and evolved 5G services have proliferated in recent years, which brings multiple challenges to 5G. Researchers, operators terminal manufacturers begun explore the evolution of 5G-Advanced. This paper examines potential technologies process network from 3rd Generation Partnership Project (3GPP) standard level. Then we focus on their enhancement expansion including Radio Access Network (RAN) Core (CN). Finally, predict development trend