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+Insights into the helium bubbles coarsening behavior in the post irradiated annealing 304L stainless steel processed by laser powder bed fusion
350 keV He + ions were injected into laser powder bed fusion (LPBF) processed 304L stainless steel andtraditional rolled 304L stainless steel with a flux of 1 × 10 17 ions/cm 2 at room temperature and followed byannealing at 750 °C for 10 and 100 h and 300h, respectively. The results showed that the material swellingdue to helium bubbles coarsening was almost not observed in both the LPBF and rolled samples after 10 hoursof annealing duration. A rapid coarsening and swelling of bubbles occurred in rolled samples but only moderate bubbles growth in the LPBF sample after annealing for 100 hours. After annealing for 300h, the heliumbubbles of both samples tend to grow steadily. For 10 hours of annealing, the irradiated samples were in disequilibrium state and the apparent activation energy (E act ) calculated by Arrhenius model determines that heliumatoms tended to diffuse through the displacement mechanism, and helium bubbles grew under the migration andcoalescence (MC) mechanism. With the annealing time over 100 hours, the high-density dislocations and thenano-oxide particles in LPBF sample still had a strong trapping effect on helium bubbles moving and growth.After annealing for 300 hours, the cellular subgrains in the LPBF sample decomposed, and the nano oxide particles had no trapping effect on the helium bubbles. At this time, the dislocation structure played the primary rolein suppressing the helium bubbles growth, and the radiation resistance of the LPBF sample remained superiorto that of rolled samples.
发表时间:2024-09-12 -
Insights into the in-situ ODS 304L stainless steel processed by laser powder bed fusion through oxygen content regulation and the effect on microstructure and mechanical properties
Laser powder bed fusion (LPBF) is a widely used and well-developed additive manufacturing approach. To meet the higher material performance requirements for the fourth-generation nuclear power reactors, LPBF processing combined with oxide dispersion strengthening (ODS) is currently of interest among new materials designs and developments by dispersing nanoscale Y2O3 particles into the feeding powders to obtain the LPBF- ODS materials. Oxygen exposure and its introduction in the solvation cell, on the other hand, are usually considered detrimental but impossible to eliminate completely during the LPBF process. The understanding of this unavoidable process, however, is still limited. Here we develop a new LPBF-ODS design approach based on in-situ oxygen content regulation during the LPBF process. The oxygen content of the environment chamber was artificially adjusted through an online monitoring system to activate the reaction between oxygen and metal elements, thus forming the dispersed oxide particles in situ. Four batches of LPBFed 304L stainless steel samples were successfully processed under different oxygen levels to investigate the reinforcing effect of in-situ chemical alloying. The results show that the dispersed oxide particles are formed through the LPBF in- situ alloying approach with an average nanoscale dimension of approximately 46 nm. The number density of oxide particles increases to 11.4 particles /μm2 with the increase in oxygen content, playing a role in refining and stabilizing the cellular structure. The in-situ alloyed ODS material exhibits enhanced yield strength (up to ∼ 675 MPa) while keeping ductility not heavily affected (elongation up to ∼ 39%), which is competitive within the range of tensile properties reported for ODS alloys prepared by mechanical alloying (MA). This study analyzes the main mechanism of yield strength enhancement through the interaction between the nano- scale oxide particles and dislocation entanglement cells, providing a new idea for the subsequent preparation of high-performance LPBF-ODS alloys.
发表时间:2024-09-12 -
iFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-Driving
urrent end-to-end autonomous driving methods resort to unifying modular designs for various tasks (e.g. perception, prediction and planning). Although optimized in a planning-oriented spirit with a fully differentiable framework, existing end-to-end driving systems without ego-centric designs still suffer from unsatisfactory performance and inferior efficiency, owing to the rasterized scene representation learning and redundant information transmission. In this paper, we revisit the human driving behavior and propose an ego-centric fully sparse paradigm, named DiFSD, for end-to-end self-driving. Specifically, DiFSD mainly consists of sparse perception, hierarchical interaction and iterative motion planner. The sparse perception module performs detection, tracking and online mapping based on sparse representation of the driving scene. The hierarchical interaction module aims to select the Closest In-Path Vehicle / Stationary (CIPV / CIPS) from coarse to fine, benefiting from an additional geometric prior. As for the iterative motion planner, both selected interactive agents and ego-vehicle are considered for joint motion prediction, where the output multi-modal ego-trajectories are optimized in an iterative fashion. Besides, both position-level motion diffusion and trajectory-level planning denoising are introduced for uncertainty modeling, thus facilitating the training stability and convergence of the whole framework. Extensive experiments conducted on nuScenes dataset demonstrate the superior planning performance and great efficiency of DiFSD, which significantly reduces the average L2 error by 66% and collisionrate by 77% than UniAD while achieves 6.9x faster running efficiency.
发表时间:2024-09-12 -
he principle of minimum virtual work and its application in bridge engineering
In mechanics, common energy principles are based on fixed boundary conditions. However, in bridge engineering structures, it is usually necessary to adjust the boundary conditions to make the structure’s internal force reasonable and save materials. However, there is currently little theoretical research in this area. To solve this problem, this paper proposes the principle of minimum virtual work for movable boundaries in mechanics through theoretical derivation such as variation method and tensor analysis. It reveals that the exact solution of the mechanical system minimizes the total virtual work of the system among all possible displacements, and the conclusion that the principle of minimum potential energy is a special case of this principle is obtained. At the same time, proposed virtual work boundaries and control conditions, which added to the fundamental equations of mechanics. The general formula of multidimensional variation method for movable boundaries is also proposed, which can be used to easily derive the basic control equations of the mechanical system. The incremental method is used to prove the theory of minimum value in multidimensional space, which extends the Pontryagin’s minimum value principle. Multiple bridge examples were listed to demonstrate the extensive practical value of the theory presented in this article. The theory proposed in this article enriches the energy principle and variation method, establishes fundamental equations of mechanics for the structural optimization of movable boundary, and provides a path for active control of mechanical structures, which has important theoretical and engineering practical significance.
发表时间:2024-09-11
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美国超重-星舰首飞分析及对中国航天产业发展启示与建议
重复使用运载器研制是航天发展的不懈追求,美国太空探索技术公司两级完全重复使用运载器“超重-星舰”实现首次发射,发射阶段圆满,后续飞行失控后执行自毁程序。本文介绍了超重-星舰的首飞情况与方案演进,根据超重-星舰总体方案反演分析其应用模式,梳理了超重-星舰的核心关键技术,总结了超重-星舰对航天产业的影响,最后给出了超重-星舰对中国航天发展的启示与建议。
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科研数据管理系统中增值服务调查研究
【目的/意义】通过问卷调查了科研用户对于 RDM 增值服务的需求,分析了不同类型用户科研需求与RDM 增值服务之间的关系,并在此基础上建立了融合用户需求的科研数据增值服务模型,以优化RDM 系统功能设计,提升系统的感知能力。【方法/过程】对科研数据管理(RDM)、增值服务等概念进行了理论梳理之后,在实践层面展开对现有RDM 系统的增值服务调查研究。具体为:调查国内外最新RDM 系统平台中增值服务的发展现状,对已经开展RDM 增值服务的系统与平台中用户类型、使用意愿及其科研需求进行调研,探究科研用户需求与RDM 系统增值服务之间的定性关系并建立模型。【结果/结论】为开展针对不同用户、不同学科、不同资源种类的个性化科研数据增值服务,提供数据支持与优化建议。
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需求-技术-治理联合驱动的合作电子商务能力形成机制研究
增强企业间的电子商务合作是传统企业获取成功的关键之一。然而,当前研究缺乏从技术和商务整合的角度思考提升电子商务合作能力的路径。基于技术推动和需求拉动理论、企业 间治理视角,本研究从技术和商务整合视角建立数字交互技术、合作商务需求、正式治理和关系 治理等对合作电子商务能力的形成模型。通过在我国传统服务和制造行业收集得到的 209 份有效数据,研究采用 OLS 回归分析对合作电子商务能力的直接驱动机制,正式治理和关系治理的调节作用进行了验证。结果发现: ( 1) 数字交互技术对流程整合能力和知识整合能力起到了正向作用; ( 2) 需求和技术互补性对流程整合能力起到了正向作用; ( 3) 正式治理和关系治理在数字交互技术对流程整合能力的作用过程中起到了差异化调节作用; ( 4) 关系治理在需求-技术互补性对知识整合能力的作用过程中起到了负向调节作用。本研究从技术和商务整合的角 度扩展了合作电子商务能力的前因理论,并对传统企业如何有效构建合作电子商务能力提供了 具体建议。
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移动环境下融合情境信息的群组推荐模型研究 ——基于用户 APP 行为数据的实证分析
为了提高群组推荐模型中推荐结果的准确度问题,本文研究并提出了一种融合情境信息的群组推荐模型。首先,获取用户行为情境数据,同时发掘提取单个用户行为的偏好;其次,计算单个用户行为相似度,进行群组聚类发现;然后,融入情境信息挖掘群组行为特征,并构建群组行为偏好特征向量,最后结合协同推荐思想, 将群组作为整体,和其他群组对项目的历史评分进行协同,形成预测评分。在实验中,我们通过分析用户的操作流,提取了主题序列特征,然后融入了经典情境信息,得出推荐结果。结果表明,使用该模型得出的排序靠前(6 位)的推荐结果较之传统(非情境)的群组推荐方法具有更高的准确性。因此,该模型更适用于移动环境下的群组推荐。
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