Optics and Laser Technology最新文献_第3页

Reconfigurable photonic complex-valued matrix–vector multiplication processor based on time-division multiplexing 基于时分复用的可重构光子复值矩阵向量乘法处理器

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114687

Yanfeng Bi , Xingyu Wu , Yusen Wu , Zhihong Zhang , Runqing Zhang , Jingwei Wen , Chuan Wang

Matrix-vector multiplication (MVM) operations play a key role in photonic computing systems and signal processing. Based on a time-division multiplexing architecture, we propose a reconfigurable photonic complex-valued MVM (RP-CMVM) processor. This scheme employs complex-valued encoding and decoding techniques to perform arbitrary complex-valued operations using only three intensity modulators. Meanwhile, this architecture enables flexible switching between complex-valued and real-valued computation tasks without changing the system hardware. For computations involving any two sets of complex-valued data, the root mean square error (RMSE) of RP-CMVM output is on the order of 3E-3. Additionally, it supports parallel edge extraction in images using the complex-valued Sobel operator, with an output image RMSE of approximately 1E-2. Then, for an iris classification task, the neural network based on the RP-CMVM attained a test accuracy of 96.67%. In addition, we implemented the frequency offset compensation task in a coherent optical communication system based on the proposed scheme, and its bit error rate is basically consistent with that of the classical algorithm. Further, this scheme combines wavelength division multiplexing to realize parallel computing, and its computing speed can reach tera operations per second (TOPS) level. Therefore, the RP-CMVM processor offers an alternative solution for implementing a reconfigurable and efficient MVM computing platform.

矩阵向量乘法运算在光子计算系统和信号处理中起着关键作用。基于时分复用架构，提出了一种可重构的光子复值MVM （RP-CMVM）处理器。该方案采用复值编码和解码技术，仅使用三个强度调制器来执行任意复值操作。同时，该架构可以在不改变系统硬件的情况下，在复杂值和实值计算任务之间灵活切换。对于涉及任意两组复值数据的计算，RP-CMVM输出的均方根误差（RMSE）在3E-3量级。此外，它支持使用复值Sobel算子在图像中并行提取边缘，输出图像的RMSE约为1E-2。然后，对于虹膜分类任务，基于RP-CMVM的神经网络的测试准确率达到96.67%。此外，我们在相干光通信系统中实现了基于该方案的频率偏移补偿任务，其误码率与经典算法基本一致。此外，该方案结合波分复用实现并行计算，其计算速度可达到每秒万亿次运算（TOPS）水平。因此，RP-CMVM处理器为实现可重构和高效的MVM计算平台提供了另一种解决方案。

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引用次数: 0

Real-time monitoring of Escherichia coli fermentation via hyperspectral imaging and lightweight edge artificial intelligence 利用高光谱成像和轻量级边缘人工智能实时监测大肠杆菌发酵

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114699

Yifan Meng , Dapeng Yan , Xuquan Wang , Zhiyuan Ma , Yongfu Li , Shanwen Xu , Shan Qiu , Lili Wang

Real-time monitoring of key metabolites in Escherichia coli (E. coli) fermentation is essential for ensuring the quality and consistency of fermentation products. Hyperspectral imaging (HSI) technology provides a promising approach for pixel-level fermentation monitoring. However, the large data volume and high computational demands pose significant challenges for real-time in-situ monitoring. In this paper, we propose a hyperspectral-based pipeline for real-time, pixel-level E. coli fermentation monitoring. First, a hardware-friendly feature spectral-band distillation method and a lightweight convolutional neural network (CNN) model are employed to enhance real-time performance and analysis capabilities. Experimental results show that the proposed method achieves root mean square error of prediction (RMSEP) of 1.592, 0.327, 1.537 (g/L) and relative prediction deviation (RPD) of 11.324, 11.983, and 9.372 for the target metabolites valine, ammonia, and acetic acid, respectively. Furthermore, we deployed the algorithms on the neural network processing unit (NPU) chip of RK3588 and the results show that our method processes one frame of hyperspectral image with an average inference time of approximately 0.76 s. Compared with traditional methods, the proposed pipeline enables real-time, pixel-level spatial concentration mapping of fermentation samples with improved accuracy and computational efficiency. This work facilitates efficient on-chip deployment for practical online fermentation monitoring applications and lays the groundwork for the development of miniaturized, low-cost hyperspectral monitoring systems.

实时监测大肠杆菌发酵过程中的关键代谢物对保证发酵产物的质量和一致性至关重要。高光谱成像（HSI）技术为像素级发酵监测提供了一种很有前途的方法。然而，大数据量和高计算量给实时现场监测带来了巨大挑战。在本文中，我们提出了一种基于高光谱的管道，用于实时，像素级的大肠杆菌发酵监测。首先，采用硬件友好的特征谱带蒸馏方法和轻量级卷积神经网络（CNN）模型来提高实时性能和分析能力。实验结果表明，该方法对目标代谢物缬氨酸、氨和乙酸的预测均方根误差（RMSEP）分别为1.592、0.327、1.537 (g/L)，相对预测偏差（RPD）分别为11.324、11.983和9.372。在RK3588的神经网络处理单元（NPU）芯片上部署了该算法，结果表明，该算法处理一帧高光谱图像，平均推理时间约为0.76 s。与传统方法相比，所提出的管道能够实时、像素级的发酵样品空间浓度映射，提高了精度和计算效率。这项工作为实际的在线发酵监测应用提供了有效的片上部署，并为小型化、低成本的高光谱监测系统的发展奠定了基础。

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引用次数: 0

Electron-lattice coupling modulation for high-quality femtosecond laser engraving of stainless steel 高质量飞秒激光雕刻不锈钢的电子-晶格耦合调制

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114713

Yongjie Wang , Jun Ran , Chen Xie , Dongqing Pang , Linyuan Zhang , Minglie Hu

Femtosecond lasers enable high-quality engraving through cold ablation, but their low throughput constrains engraving efficiency. Moreover, for materials like stainless steel, excessive energy deposition during laser engraving induces periodic cone-like protrusions due to the material’s intrinsic optical and thermal properties. This inherent trade-off between processing efficiency and quality presents a significant challenge. In this work, a femtosecond dual-pulse technique based on electron-lattice coupling modulation is employed to optimize the engraving process. By controlling the energy ratio and inter-pulse delay time between orthogonally polarized pulses, the convective flow driven by the surface temperature gradient is suppressed and the formation of microgrooves and melt columns at the bottom of the engraving pattern is prevented. Besides, a two-temperature model (TTM) is used to analyze temperature evolution between the electronic and lattice systems during the primary and secondary thermalization processes in modulation. Finally, appropriate parameters are selected and applied to the actual pattern engraving based on the removal depth and surface roughness measured by the confocal laser scanning microscope during the modulation. This approach can effectively reduce roughness by 2–3 times while maintaining comparable engraving efficiency. It demonstrates potential for efficiency optimization in precision laser engraving systems.

飞秒激光可以通过冷烧蚀实现高质量的雕刻，但其低吞吐量限制了雕刻效率。此外，对于像不锈钢这样的材料，由于材料固有的光学和热特性，激光雕刻过程中过量的能量沉积会引起周期性的锥形突起。这种加工效率和质量之间的内在权衡提出了重大挑战。本文采用了一种基于电子-晶格耦合调制的飞秒双脉冲技术来优化雕刻工艺。通过控制正交极化脉冲之间的能量比和脉冲间延迟时间，抑制了表面温度梯度驱动的对流流动，防止了雕刻图案底部微槽和熔柱的形成。此外，采用双温度模型（TTM）分析了调制过程中一次和二次热化过程中电子系统和晶格系统之间的温度演变。最后，根据共聚焦激光扫描显微镜在调制过程中测量的去除深度和表面粗糙度，选择合适的参数并应用到实际的图案雕刻中。这种方法可以有效地将粗糙度降低2-3倍，同时保持相当的雕刻效率。它显示了在精密激光雕刻系统效率优化的潜力。

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引用次数: 0

Single-shot polarization-wavelength multiplexed intensity diffraction tomography with optimized reconstruction fidelity 具有优化重建保真度的单次偏振波长复用强度衍射层析成像

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114657

Haiwen Chen , Haixin Luo , Jie Xu , Jindong Tian

Intensity diffraction tomography (IDT) provides a label-free, non-invasive approach for three-dimensional (3D) refractive index (RI) reconstruction using multi-angle illumination intensity images. However, its application to dynamic processes is limited by motion artifacts arising from multi-frame acquisition. Here we present a polarization-wavelength multiplexed IDT (PWM-IDT) system with single-shot measurement for dynamic 3D RI imaging. By combining aperture synthesis with spectral decomposition, the proposed multi-angle image generation (MIG) strategy in PWM-IDT method expands the captured measurements into a more comprehensive set of multi-angle intensity images, achieving a higher multiplexing degree. Further, the proposed chromatic correction network (CC-Net) with spatial-frequency learning eliminates chromatic spectral-domain inconsistencies and dispersion-induced defocus blur issues, yielding reconstruction fidelity of the single-shot capture comparable to multi-acquisition approaches. We demonstrate these capabilities by imaging both simulated samples and actual oral epithelial cells. The dynamic rigid and non-rigid cases further confirm that the combination of PWM-IDT and CC-Net leads to substantial improvements in single-shot IDT reconstruction quality. These advances establish our method as a label-free, single-shot, high-fidelity 3D RI imaging approach suitable for dynamic biological applications.

强度衍射层析成像（IDT）为利用多角度照明强度图像进行三维（3D）折射率（RI）重建提供了一种无标记、无创的方法。然而，它在动态过程中的应用受到多帧采集产生的运动伪影的限制。在这里，我们提出了一个偏振波长复用IDT （PWM-IDT）系统，用于动态三维RI成像的单次测量。通过将孔径合成与光谱分解相结合，提出了PWM-IDT方法中的多角度图像生成（MIG）策略，将捕获的测量数据扩展为更全面的多角度强度图像集，实现了更高的复用程度。此外，提出的具有空间-频率学习的色差校正网络（CC-Net）消除了色差谱域不一致和色散引起的离焦模糊问题，使单镜头捕获的重建保真度可与多采集方法相比较。我们通过模拟样本和实际口腔上皮细胞的成像来证明这些能力。动态刚性和非刚性案例进一步证实了PWM-IDT和CC-Net的结合可以显著提高单次IDT重建质量。这些进展使我们的方法成为一种适合动态生物学应用的无标签、单次拍摄、高保真3D RI成像方法。

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引用次数: 0

Self-supervised photoacoustic tomography image reconstruction based on multi-curve forward projection and implicit neural representation 基于多曲线正演和隐式神经表示的自监督光声断层图像重建

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114698

Chaobin Hu , Zongxin Mo , Yutian Zhong , Anqi Wei , Zhaoyong Liang , Li Qi

In sparse-view or limited-view photoacoustic tomography (PAT), the imaging performance is mainly limited by image reconstruction accuracy. Integrating PAT’s multi-curve forward model with implicit neural representation (INR) presents a promising approach to significantly enhance PAT imaging performance. Inspired by the recently reported INR concept, we propose a self-supervised image reconstruction method that combines the multi-curve forward model of PAT with INR, which we named MIN-PAT. This method aims to improve reconstruction quality using only undersampled data. The proposed MIN-PAT framework extracts spatial coordinates from geometric projection curves in the forward model and employs INR to learn an implicit mapping from image coordinates to pixel intensity, eliminating the need for fully sampled ground-truth data. Experimental results under various sparse-view and limited-view conditions demonstrate that MIN-PAT effectively recovers target structures while suppressing artifacts compared to conventional reconstruction methods. By synergizing PAT’s multi-curve forward model with INR-based learning, MIN-PAT enables robust, self-supervised reconstruction that enhances image quality without external training data. This approach shows significant potential for improving PAT imaging in challenging acquisition scenarios. Code available at: https://github.com/CbinHu/MIN-PAT.

在稀疏视图或有限视图光声层析成像（PAT）中，成像性能主要受图像重建精度的限制。将PAT的多曲线正演模型与隐式神经表示（INR）相结合，是一种显著提高PAT成像性能的有效方法。受最近报道的INR概念的启发，我们提出了一种将PAT的多曲线正演模型与INR相结合的自监督图像重建方法，我们将其命名为MIN-PAT。该方法旨在仅使用欠采样数据来提高重建质量。本文提出的MIN-PAT框架从正演模型的几何投影曲线中提取空间坐标，并利用INR学习图像坐标到像素强度的隐式映射，从而消除了对全采样地真数据的需要。在各种稀疏视图和有限视图条件下的实验结果表明，与传统的重建方法相比，MIN-PAT可以有效地恢复目标结构，同时抑制伪影。通过将PAT的多曲线正演模型与基于inr的学习相结合，MIN-PAT实现了鲁棒的自监督重建，无需外部训练数据即可提高图像质量。该方法显示了在具有挑战性的采集场景中改善PAT成像的巨大潜力。代码可在：https://github.com/CbinHu/MIN-PAT。

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引用次数: 0

Polarization-insensitive all-optical light manipulation with 3D ridge-shaped monolayer graphene structure 三维脊状单层石墨烯结构的偏光不敏感全光操纵

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114690

Kedi Peng , Zongyang Cai , Jiafeng He , Quandong Huang

We propose a polarization-insensitive all-optical light manipulation optical device formed by using a three-dimensional (3D) ridge-shaped monolayer graphene structure. The proposed device breaks the polarization of light in planar graphene formed devices by regulating the graphene ridge geometry and carrier dynamics. In the design, the proposed device embeds a ridge-shaped monolayer graphene in a polymer waveguide core and utilizes the Pauli blocking effect to achieve optical modulation of arbitrary polarized input light. 980 nm control light excites graphene to generate electron-hole pairs, and the directional flow induces the band filling effect, which blocks the absorption of the 1550 nm signal light. When the power of control light is increased to break the threshold of absorption of signal light, the signal light loss decreases significantly, regardless of the state of polarization of the input light, with the modulation efficiency of about 70% ∼ 80%. The proposed chip shows a key breakthrough in light modulation regardless of the state of polarization and broadband operation, which provides a new solution for the next generation of optical modulation chips.

我们提出了一种使用三维（3D）脊状单层石墨烯结构形成的偏振不敏感的全光光操纵光学器件。该器件通过调节石墨烯脊几何形状和载流子动力学来打破平面石墨烯形成器件中的光偏振。在设计中，提出的器件在聚合物波导核心中嵌入脊状单层石墨烯，并利用泡利阻塞效应实现任意偏振输入光的光学调制。980 nm控制光激发石墨烯产生电子-空穴对，定向流动诱导带填充效应，阻碍了1550 nm信号光的吸收。当增加控制光的功率以突破信号光的吸收阈值时，无论输入光的偏振状态如何，信号光损失都显著降低，其调制效率约为70% ~ 80%。该芯片在不考虑偏振状态和宽带操作的光调制方面取得了关键突破，为下一代光调制芯片提供了新的解决方案。

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引用次数: 0

Physics-guided self-supervised method for OCT refocusing 物理引导下的OCT重聚焦自监督方法

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114704

Zhuoqun Yuan , Di Yang , Yanmei Liang

Addressing the trade-off between lateral resolution and depth of focus in OCT imaging is crucial for advancing biomedical imaging. Computational methods can achieve effective refocusing results while requiring high phase stability during scanning, which presents challenges in in vivo imaging. Existing deep learning methods are typically supervised and require large amounts of paired data, which are difficult to obtain in practice. Here we propose an OCT digital refocusing algorithm that integrates a physical diffraction model with a neural network. The approach uses deep learning to learn physical diffraction prior knowledge and applies it to OCT intensity images, enabling self-supervised refocusing without relying on the high phase stability of OCT system, offering broad potential applications.

在OCT成像中解决横向分辨率和聚焦深度之间的权衡对于推进生物医学成像至关重要。计算方法可以获得有效的重聚焦结果，但在扫描过程中需要很高的相位稳定性，这对体内成像提出了挑战。现有的深度学习方法通常是有监督的，需要大量的配对数据，这在实践中很难获得。本文提出了一种结合物理衍射模型和神经网络的OCT数字重聚焦算法。该方法利用深度学习学习物理衍射先验知识，并将其应用于OCT强度图像，实现自监督重聚焦，而不依赖于OCT系统的高相位稳定性，具有广泛的潜在应用前景。

引用次数: 0

Data-efficient self-supervised 3DCNN for real-time terahertz image denoising and enhancement 数据高效自监督3DCNN用于实时太赫兹图像去噪和增强

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114656

Xinhua Li , Xiaoran Li , Yuanjie Gu , Xinyan Qian , jiandong Sun , Biqin Dong , Xiaoping Zheng

Terahertz (THz) focal-plane array (FPA) imaging is attractive for real-time, non-invasive inspection, but practical systems suffer from low signal-to-noise ratio, scarce clean labels and stringent throughput constraints. In this work, we propose a data-efficient self-supervised temporal denoising framework tailored to real-time THz video streams. The method combines a lightweight three-dimensional THz denoising convolutional neural network (CNN) with a high-frequency–guided self-supervised module operating in the 3D wavelet domain. A 3D discrete wavelet transform decomposes each x–y–t volume into sub-bands, and the network selectively denoises only the temporal–spatial high-frequency components while preserving low-frequency structure. Supervision is obtained from odd–even frame pairs generated by sliding windows over noisy sequences, eliminating the need for ground-truth labels. The framework is integrated with a custom 340 GHz THz array camera using a 64 × 64 FPA and achieves real-time inference at 56 fps on a commodity GPU, exceeding the sensor readout rate and enabling in-loop denoising. Experiments on physically grounded synthetic videos and 17 real terahertz sequences show consistent gains over classical and learning-based baselines, yielding higher Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM) in supervised comparisons, and better No-Reference Quality Metric (NRQM), Neural Image Assessment (NIMA), Naturalness Image Quality Evaluator (NIQE), and Perceptual Index (PI) on real data. The proposed framework therefore provides a practical, label-efficient and implementation-friendly solution for high-fidelity, real-time THz video denoising and enhancement in non-destructive testing and related applications.

太赫兹（THz）焦平面阵列（FPA）成像对于实时、无创检测很有吸引力，但实际系统受到低信噪比、缺乏清洁标签和严格的吞吐量限制的影响。在这项工作中，我们提出了一个适合实时太赫兹视频流的数据高效自监督时间去噪框架。该方法将轻量级的三维太赫兹去噪卷积神经网络（CNN）与在三维小波域中工作的高频制导自监督模块相结合。三维离散小波变换将每个x-y-t体积分解成子带，网络在保留低频结构的同时，只对时空高频分量进行选择性去噪。监督是由噪声序列上的滑动窗口生成的奇偶帧对获得的，消除了对真值标签的需要。该框架与使用64 × 64 FPA的定制340 GHz太赫兹阵列相机集成，并在商用GPU上以56 fps的速度实现实时推断，超过传感器读出速率并实现环内去噪。在物理接地合成视频和17个真实太赫兹序列上的实验表明，与经典和基于学习的基线相比，该方法的增益是一致的，在监督比较中产生更高的峰值信噪比（PSNR）和结构相似性（SSIM），在真实数据上产生更好的无参考质量度量（NRQM）、神经图像评估（NIMA）、自然图像质量评估（NIQE）和感知指数（PI）。因此，所提出的框架为无损检测和相关应用中的高保真、实时太赫兹视频去噪和增强提供了实用、标签高效和易于实现的解决方案。

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引用次数: 0

Femtosecond laser inscription of artificial Rayleigh reflectors inside a fiber core using a spatial light modulator 利用空间光调制器在光纤芯内刻录人造瑞利反射器的飞秒激光

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114734

Zhibzema Munkueva , Alexey Kuznetsov , Mikhail Skvortsov , Kseniya Kolosova , Alexandr Revyakin , Denis Kharenko , Alexey Kokhanovskiy , Alexandr Dostovalov , Sergey Babin

A novel femtosecond inscription technique based on spatial light modulator has been developed to enable focal spot scanning within the static focal spot that opens the way for fabricating refractive index structures with arbitrary complex cross-section geometry including line-by-line and ring-shaped broadband reflectors with random periods and thus enhanced Rayleigh backscattering (RB). The influence of inscription parameters (pulse energy, objective NA, reflector length) on refractive index modulation amplitude, RB level enhancement and reflectivity was demonstrated. Moreover, SLM-inscribed artificial Rayleigh reflectors were used to enhance random distributed feedback strength in narrow-linewidth Er³⁺-doped fiber laser, as well as to select higher-order transverse mode in the output beam at the low generation threshold of down to 120 W of random Raman lasing in multimode fiber, while broadband reflectivity offers laser wavelength tunability potential.

一种基于空间光调制器的新型飞秒刻字技术已经被开发出来，可以在静态焦斑内进行焦斑扫描，这为制造具有任意复杂横截面几何形状的折射率结构开辟了道路，包括具有随机周期的逐行和环形宽带反射器，从而增强瑞利后向散射（RB）。验证了刻字参数（脉冲能量、物镜NA、反射镜长度）对折射率调制幅度、RB级增强和反射率的影响。此外，利用slm内嵌的人造瑞利反射器增强窄线宽Er3+掺杂光纤激光器的随机分布反馈强度，并在多模光纤中随机拉曼激光低产生阈值（低至120w）时，在输出光束中选择高阶横模，而宽带反射率提供了激光波长可调谐的潜力。

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引用次数: 0

Effects of scanning speed on microstructure and properties of In-Situ ceramic Particle-Reinforced Ni-Based coatings 扫描速度对原位陶瓷颗粒增强镍基涂层组织和性能的影响

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.optlastec.2026.114724

Dongdong Zhang , Jingyu Jiang , Yu Liu , Haozhe Li , Yali Gao

To fabricate wear-resistant Ni-based coatings on a 45 steel, TiC ceramic particles were synthesized to reinforce the Ni-based matrix. The effects of varying scanning speeds (50, 100, and 150 mm/min) on the temperature field, stress field, microstructure, and wear resistance of the coatings were systematically investigated. The integration of thermodynamic calculations and finite element simulations revealed that increasing scanning speeds substantially shortened the melt pool thermal interaction duration, simultaneously elevating cooling rates and thermal gradients. The synergistic effect effectively suppressed grain coarsening mechanisms and promoted the development of refined microstructural features. Experimental results demonstrated that as the scanning speed increased, it was accompanied by a significant improvement in microhardness and a notable reduction in friction coefficient and wear rate. The underlying principles for the microstructure and properties of the coatings were elucidated by regulating thermo-mechanical coupling effects in this study. It can provide a theoretical foundation for the design of in-situ ceramic-reinforced Ni-based coatings with tailored hardness and wear resistance.

为了在45钢上制备耐磨损的ni基涂层，合成了TiC陶瓷颗粒来增强ni基基体。系统研究了不同扫描速度（50、100和150 mm/min）对涂层温度场、应力场、显微组织和耐磨性的影响。热力学计算和有限元模拟的结合表明，增加扫描速度大大缩短了熔池热相互作用的持续时间，同时提高了冷却速率和热梯度。协同效应有效抑制了晶粒粗化机制，促进了细化组织特征的发展。实验结果表明，随着扫描速度的增加，显微硬度显著提高，摩擦系数和磨损率显著降低。通过对热-机械耦合效应的调控，阐明了涂层微观结构和性能变化的基本原理。为设计具有定制硬度和耐磨性的原位陶瓷增强镍基涂层提供理论依据。

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引用次数: 0