Titanium matrix composites (TMCs) with high-content TiC have a wide prospect in the aerospace industry due to their high strength, hardness, and wear resistance. The comprehensive properties of TMCs are mainly determined by morphology distribution reinforcements. Hence, effects laser directed energy deposition (LDED) process parameters on were discussed detail simulations experiments this study. A finite element model was established ANSYS APDL explain complicated phenomena during LDED (60...

As a privacy-preserving distributed learning paradigm, federated (FL) enables multiple client devices to train shared model without uploading their local data. To further enhance the privacy protection performance of FL, differential (DP) has been successfully incorporated into FL systems defend against attacks from adversaries. In with DP, how stimulate efficient collaboration is vital for server due nature DP and heterogeneity various costs (e.g., computation cost) participating clients....

Abstract Laser energy density plays a crucial role in determining the forming quality, microstructure, and mechanical properties of components fabricated by Powder Bed Fusion (LPBF). 0.2 wt.% hexagonal boron nitride (h-BN) reinforced Hastelloy X (HX) composites have been proven to eliminate cracks regulating laser absorption behavior temperature field, thereby reducing gradient carbide segregation. This approach synergistically enhanced both strength elongation HX formed via LPBF. However,...

Federated learning (FL) is a promising distributed framework for collaborative artificial intelligence model training while protecting user privacy. A bootstrapping component that has attracted significant research attention the design of incentive mechanism to stimulate collaboration in FL. The majority works adopt broker-centric approach help central operator attract participants and further obtain well-trained model. Few consider forging participant-centric among pursue an FL their common...

Graded multi-material parts achieve a compositionally graded transition between two different materials, mitigating undesirable consequences such as cracking and delamination due to property mismatch significantly improving the comprehensive performance of parts. In this study, Ti6Al4V/AlMgScZr-graded were fabricated using laser powder bed fusion technology, introducing composition-graded layer with 25 wt.% Ti6Al4V 75 AlMgScZr at interface reduce materials. The effect layer’s...

Although increasing the content of ceramic reinforcement in metal matrix composites can improve some mechanical properties processed parts, it brings significant challenges to forming technologies such as laser additive manufacturing. In this study, high-content 60 wt. % TiC reinforced Inconel 718 were fabricated by laser-directed energy deposition (LDED). The influence density (E) on quality, microstructure development, and TiC/Inconel was investigated. It revealed that a smooth continuous...

To overcome the disadvantages of comparatively poor surface hardness and deprived resistance against wear Ti–6Al–4V alloy, protective NiTi coatings are fabricated at different processing parameters by laser‐directed energy deposition (LDED). This work presents a comprehensive study morphology, phase constituents, microstructural evolution, composition distribution, mechanical properties as‐fabricated tracks. The relationship among is established. evolution mechanism distribution on cross...

Federated learning (FL) has emerged as a promising paradigm that enables clients to collaboratively train shared global model without uploading their local data. To alleviate the heterogeneous data quality among clients, artificial intelligence-generated content (AIGC) can be leveraged novel synthesis technique for FL performance enhancement. Due various costs incurred by AIGC-empowered (e.g., of computation and synthesis), however, are usually reluctant participate in adequate economic...

Privacy-preserving vector mean estimation is a crucial primitive in federated analytics. Existing practices usually resort to Local Differentiated Privacy (LDP) mechanisms that inject random noise into users' vectors when communicating with users and the central server. Due privacy-utility trade-off, privacy budget has been widely recognized as bottleneck resource requires well provisioning. In this paper, we explore possibility of recycling propose novel Chained-DP framework enabling carry...

Federated learning (FL) is a promising distributed framework for collaborative artificial intelligence model training while protecting user privacy. A bootstrapping component that has attracted significant research attention the design of incentive mechanism to stimulate collaboration in FL. The majority works adopt broker-centric approach help central operator attract participants and further obtain well-trained model. Few consider forging participant-centric among pursue an FL their common...

Titanium matrix composites (TMCs) have potential applications in various high-end industries because of their outstanding performances, such as high special strength, toughness, and wear resistance. Multi-material laser powder bed fusion (LPBF) technology was adopted to fabricate the multilayered gradient TMCs samples with metallized TiB2 ceramic. The process-structure-performance relationships multi-material LPBF-processed were investigated. A suitable linear energy density for composite...