Pub Date : 2026-06-01Epub Date: 2026-02-06DOI: 10.1016/j.optlastec.2026.114897
Junwei Yan , Jingyuan Xu , Bo Hao , Yi Xu , Li Zhang
The exceptional mechanical properties and high-temperature resistance of 2.5D carbon fiber reinforced silicon carbide ceramic matrix composites (C/SiC) have demonstrated a wide range of potential applications in the field of aero engine turbine blades. In response to issues such as the appearance of a large heat-affected zone (HAZ) during laser-induced ablation (LIA) and the formation of oxides that cause significant taper in micro holes. This paper presents a chemical micro fluid assisted laser induced plasma micro-drilling method to improve taper and HAZ. The surface quality, thickness of the HAZ, taper, surface chemical composition, and mechanical properties of the micro holes processed by two varieties of micro fluid, NaOH and HF, were comprehensively analyzed. The findings indicate that the HF micro fluid assisted laser induced plasma micro-drilling procedure offers substantial benefits. In comparison to LIA, the HAZ’s thickness is reduced by 78.12%-80.46%, the taper is reduced by 45.71%-46.36%, the average tensile strength in high-temperature environments increased by 5.81%, and the equivalent strain distribution was also more uniform. The micro holes’ edges are regular, and the sidewall surface is smooth. This study provides a new method for 2.5D C/SiC micro hole processing and new ideas for improving the quality of laser processing.
{"title":"Performance evaluation of 2.5D C/SiC composite by chemical micro fluid assisted laser induced plasma micro-drilling","authors":"Junwei Yan , Jingyuan Xu , Bo Hao , Yi Xu , Li Zhang","doi":"10.1016/j.optlastec.2026.114897","DOIUrl":"10.1016/j.optlastec.2026.114897","url":null,"abstract":"<div><div>The exceptional mechanical properties and high-temperature resistance of 2.5D carbon fiber reinforced silicon carbide ceramic matrix composites (C/SiC) have demonstrated a wide range of potential applications in the field of aero engine turbine blades. In response to issues such as the appearance of a large heat-affected zone (HAZ) during laser-induced ablation (LIA) and the formation of oxides that cause significant taper in micro holes. This paper presents a chemical micro fluid assisted laser induced plasma micro-drilling method to improve taper and HAZ. The surface quality, thickness of the HAZ, taper, surface chemical composition, and mechanical properties of the micro holes processed by two varieties of micro fluid, NaOH and HF, were comprehensively analyzed. The findings indicate that the HF micro fluid assisted laser induced plasma micro-drilling procedure offers substantial benefits. In comparison to LIA, the HAZ’s thickness is reduced by 78.12%-80.46%, the taper is reduced by 45.71%-46.36%, the average tensile strength in high-temperature environments increased by 5.81%, and the equivalent strain distribution was also more uniform. The micro holes’ edges are regular, and the sidewall surface is smooth. This study provides a new method for 2.5D C/SiC micro hole processing and new ideas for improving the quality of laser processing.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114897"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-10DOI: 10.1016/j.optlastec.2026.114862
Wei Wang, Wenyi Yang, Tong Zhang, Xia Yang
Linear servomotors (LSM) are extensively applied in machine tools, robotics, and precision automation, where accurate mover positioning is critical. Image matching has been widely explored in industrial measurement, with least-squares (LS) methods combined with gradient-based optimization serving as the dominant approach for subpixel accuracy. Nevertheless, the iterative nature of these methods not only increases computational burden but also makes convergence sensitive to the choice of initial values. To address these limitations, this paper proposes an iteration-free LS image matching framework, which directly estimates subpixel displacements without iterative refinement. Within this framework, a representative algorithm—the sum-table Gauss–Newton (ST-GN) method—is developed and applied to LSM mover positioning. Comprehensive simulations and experimental validations demonstrate that the proposed framework achieves high-precision matching, with a mean absolute error below 0.5 μm, thereby offering a reliable and efficient solution for high-accuracy image-based measurement in LSM applications.
{"title":"Iteration-free framework of least squares image matching for LSM mover positioning","authors":"Wei Wang, Wenyi Yang, Tong Zhang, Xia Yang","doi":"10.1016/j.optlastec.2026.114862","DOIUrl":"10.1016/j.optlastec.2026.114862","url":null,"abstract":"<div><div>Linear servomotors (LSM) are extensively applied in machine tools, robotics, and precision automation, where accurate mover positioning is critical. Image matching has been widely explored in industrial measurement, with least-squares (LS) methods combined with gradient-based optimization serving as the dominant approach for subpixel accuracy. Nevertheless, the iterative nature of these methods not only increases computational burden but also makes convergence sensitive to the choice of initial values. To address these limitations, this paper proposes an iteration-free LS image matching framework, which directly estimates subpixel displacements without iterative refinement. Within this framework, a representative algorithm—the sum-table Gauss–Newton (ST-GN) method—is developed and applied to LSM mover positioning. Comprehensive simulations and experimental validations demonstrate that the proposed framework achieves high-precision matching, with a mean absolute error below 0.5 μm, thereby offering a reliable and efficient solution for high-accuracy image-based measurement in LSM applications.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114862"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To address the limitations of CFRP laser machining process prediction in methodological benchmarking and mechanistic interpretability, this study proposes a morphology prediction framework that simultaneously integrates point-prediction accuracy, uncertainty quantification, and interpretability. Physically derived features are introduced to bridge external process parameters and morphological responses through a causally constrained energy-flow pathway, while a concise and reliable model is identified through systematic evaluation. Six baseline machine learning models are comparatively assessed along two principal dimensions—accuracy and uncertainty. By incorporating the coefficient of variation, maximal information coefficient, and recursive feature elimination, physical features exhibiting low dispersion, low collinearity, and high importance are selected to construct a three-layer causal chain of raw process parameters–physically derived features–morphological indicators. A dual-layer SHAP analysis is subsequently employed to hierarchically delineate the contribution pathways from process parameters to morphological responses.The results demonstrate that Gaussian Process Regression outperforms the other models in both predictive accuracy and uncertainty representation. Compared with models using only raw features, the inclusion of physically derived features enhances the reliability of uncertainty characterization and establishes physically constrained causal linkages between process parameters and morphological indicators. The three-layer causal chain, combined with the dual-layer SHAP analysis, jointly elucidates the distributional patterns and mechanistic contributions of morphological responses, thereby strengthening the causal consistency and interpretability of the predictive model. This work provides an efficient, robust, and interpretable technical paradigm for morphology prediction and process optimization in CFRP laser machining.
{"title":"Interpretable machine learning for laser machining morphology prediction of CFRP driven by physical-derived features","authors":"Ping Huang, Guanghui Zhang, Zhichuang Chen, Xinping He, Qingan Lu, Yuxing Huang, Hui Jiao, Jia Zhou, Yuhong Long","doi":"10.1016/j.optlastec.2026.114872","DOIUrl":"10.1016/j.optlastec.2026.114872","url":null,"abstract":"<div><div>To address the limitations of CFRP laser machining process prediction in methodological benchmarking and mechanistic interpretability, this study proposes a morphology prediction framework that simultaneously integrates point-prediction accuracy, uncertainty quantification, and interpretability. Physically derived features are introduced to bridge external process parameters and morphological responses through a causally constrained energy-flow pathway, while a concise and reliable model is identified through systematic evaluation. Six baseline machine learning models are comparatively assessed along two principal dimensions—accuracy and uncertainty. By incorporating the coefficient of variation, maximal information coefficient, and recursive feature elimination, physical features exhibiting low dispersion, low collinearity, and high importance are selected to construct a three-layer causal chain of raw process parameters–physically derived features–morphological indicators. A dual-layer SHAP analysis is subsequently employed to hierarchically delineate the contribution pathways from process parameters to morphological responses.The results demonstrate that Gaussian Process Regression outperforms the other models in both predictive accuracy and uncertainty representation. Compared with models using only raw features, the inclusion of physically derived features enhances the reliability of uncertainty characterization and establishes physically constrained causal linkages between process parameters and morphological indicators. The three-layer causal chain, combined with the dual-layer SHAP analysis, jointly elucidates the distributional patterns and mechanistic contributions of morphological responses, thereby strengthening the causal consistency and interpretability of the predictive model. This work provides an efficient, robust, and interpretable technical paradigm for morphology prediction and process optimization in CFRP laser machining.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114872"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-10DOI: 10.1016/j.optlastec.2026.114903
Yu-Che Wu, Kuo-Chih Chang, Shu-Chun Chu
Digital lasers control the laser beam by dynamically updating the phase patterns of the spatial light modulator (SLM) within the laser cavity. Due to the presence of nonlinear effects, such as mode competition and gain saturation in digital laser systems, it is often necessary to rely on specifically manually tailored approach or iteration processes to find suitable loaded phases in Digital lasers. This study proposes a model based on Conditional Generative Adversarial Networks (cGAN) and a modified U-Net architecture, with designed loss functions to inverse design the loaded phases. This study employs deep neural networks to learn an effective nonlinear relation between light field intensity and the corresponding SLM-loaded phase in simulated L-shaped digital lasers, enabling the prediction of SLM-loaded phases for both analytical and non-analytical arbitrary structured light fields. The results demonstrate superior performance on non-analytical light fields compared to the current methods in L-shaped Digital lasers. Furthermore, a transfer learning strategy is introduced, allowing knowledge obtained from one class of structured beams to be effectively reused for another, as well as to cavity-length variations. Thereby enhances generalization and improves performance under limited training data. To the best of our knowledge, this is the first deep-learning-based inverse intracavity phase design framework specifically demonstrated for digital laser systems. Providing an efficient alternative for generating structured light in other digital laser systems.
{"title":"Inverse-designed phase prediction in digital lasers using deep learning and transfer learning","authors":"Yu-Che Wu, Kuo-Chih Chang, Shu-Chun Chu","doi":"10.1016/j.optlastec.2026.114903","DOIUrl":"10.1016/j.optlastec.2026.114903","url":null,"abstract":"<div><div>Digital lasers control the laser beam by dynamically updating the phase patterns of the spatial light modulator (SLM) within the laser cavity. Due to the presence of nonlinear effects, such as mode competition and gain saturation in digital laser systems, it is often necessary to rely on specifically manually tailored approach or iteration processes to find suitable loaded phases in Digital lasers. This study proposes a model based on Conditional Generative Adversarial Networks (cGAN) and a modified U-Net architecture, with designed loss functions to inverse design the loaded phases. This study employs deep neural networks to learn an effective nonlinear relation between light field intensity and the corresponding SLM-loaded phase in simulated L-shaped digital lasers, enabling the prediction of SLM-loaded phases for both analytical and non-analytical arbitrary structured light fields. The results demonstrate superior performance on non-analytical light fields compared to the current methods in L-shaped Digital lasers. Furthermore, a transfer learning strategy is introduced, allowing knowledge obtained from one class of structured beams to be effectively reused for another, as well as to cavity-length variations. Thereby enhances generalization and improves performance under limited training data. To the best of our knowledge, this is the first deep-learning-based inverse intracavity phase design framework specifically demonstrated for digital laser systems. Providing an efficient alternative for generating structured light in other digital laser systems.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114903"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-10DOI: 10.1016/j.optlastec.2026.114896
Wenhui Wang , Haolong Jia , Guozhong Lei , Jiaming Xu , JingQi Liu , Wenchang Lai , Yan Wang , Kai Han
Single-pixel complex amplitude detection offers significant potential for applications in biomedical imaging, three-dimensional topography measurement, adaptive optics, and related fields. However, conventional interferometric methods require four phase-shifting steps to reconstruct intensity and phase, limiting the detection speed. This paper introduces a novel two-step phase-shifting technique that requires only two phase-shifted intensity measurements and one DC measurement for reconstruction. We develop a theoretical model and conduct numerical simulations. Then experimentally compare the four-step and two-step methods and validate the generality of the model by testing different illumination patterns. The proposed method not only achieves detection quality comparable to the conventional four-step approach but also improves the detection speed by approximately , demonstrating a significant advance in single-pixel imaging technology.
{"title":"Two-step phase-shifting single-pixel complex amplitude detection technique","authors":"Wenhui Wang , Haolong Jia , Guozhong Lei , Jiaming Xu , JingQi Liu , Wenchang Lai , Yan Wang , Kai Han","doi":"10.1016/j.optlastec.2026.114896","DOIUrl":"10.1016/j.optlastec.2026.114896","url":null,"abstract":"<div><div>Single-pixel complex amplitude detection offers significant potential for applications in biomedical imaging, three-dimensional topography measurement, adaptive optics, and related fields. However, conventional interferometric methods require four phase-shifting steps to reconstruct intensity and phase, limiting the detection speed. This paper introduces a novel two-step phase-shifting technique that requires only two phase-shifted intensity measurements and one DC measurement for reconstruction. We develop a theoretical model and conduct numerical simulations. Then experimentally compare the four-step and two-step methods and validate the generality of the model by testing different illumination patterns. The proposed method not only achieves detection quality comparable to the conventional four-step approach but also improves the detection speed by approximately <span><math><mn>33</mn><mi>%</mi></math></span>, demonstrating a significant advance in single-pixel imaging technology.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114896"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-10DOI: 10.1016/j.optlastec.2026.114915
Longjun Zheng , Huihui Ma , Ding Mao , Zichuan Yuan , Yusheng Zhang , Zuxing Zhang , Yudong Cui
Soliton molecules, akin to chemical molecules, are complex nonlinear states formed by the binding interaction between solitons. The dynamic evolution processes of their buildup and annihilation, as well as the mutual influence between the internal states of soliton molecules and energy, remain unclear. We utilize the dispersive Fourier transform technique to perform real-time spectral measurements of the dynamic processes of soliton molecules in a carbon nanotube mode-locked fiber laser and evolve the complete dynamics from buildup to annihilation. Various internal motions of soliton molecules are revealed, such as continuous attraction, stable oscillation, and dynamic degradation upon disappearance. The results demonstrate that during the buildup process, not only subtle changes in energy affect the stability of soliton molecules, but changes in the state of soliton molecules also lead to intracavity energy fluctuations. During the annihilation process, with the gradual decrease of energy, the interactions of soliton molecules exhibit regular changes. These insights reveal the complex interactions of nonlinear phenomena in non-equilibrium systems, providing an experimental basis for the active control of soliton molecules and their applications in optical storage and encoding.
{"title":"Revelation of the buildup and annihilation dynamics of soliton molecules in a fiber laser","authors":"Longjun Zheng , Huihui Ma , Ding Mao , Zichuan Yuan , Yusheng Zhang , Zuxing Zhang , Yudong Cui","doi":"10.1016/j.optlastec.2026.114915","DOIUrl":"10.1016/j.optlastec.2026.114915","url":null,"abstract":"<div><div>Soliton molecules, akin to chemical molecules, are complex nonlinear states formed by the binding interaction between solitons. The dynamic evolution processes of their buildup and annihilation, as well as the mutual influence between the internal states of soliton molecules and energy, remain unclear. We utilize the dispersive Fourier transform technique to perform real-time spectral measurements of the dynamic processes of soliton molecules in a carbon nanotube mode-locked fiber laser and evolve the complete dynamics from buildup to annihilation. Various internal motions of soliton molecules are revealed, such as continuous attraction, stable oscillation, and dynamic degradation upon disappearance. The results demonstrate that during the buildup process, not only subtle changes in energy affect the stability of soliton molecules, but changes in the state of soliton molecules also lead to intracavity energy fluctuations. During the annihilation process, with the gradual decrease of energy, the interactions of soliton molecules exhibit regular changes. These insights reveal the complex interactions of nonlinear phenomena in non-equilibrium systems, providing an experimental basis for the active control of soliton molecules and their applications in optical storage and encoding.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114915"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the ultrafast laser stealth dicing of silicon carbide wafers, achieving both high efficiency and superior quality remains a significant challenge in wafer manufacturing. To address this, this study innovatively proposes applying laser power modulation to multi-layer modified stealth dicing of 4H-SiC, aiming to enhance cross-section quality while maintaining processing efficiency. Experiments reveal that multi-layer modification dicing utilizing self-focusing effects achieves over fourfold efficiency gains compared to single-layer modification, yet results in significantly increased cross-section roughness. Molecular dynamics simulations reveal that this phenomenon stems from edge thermal stress concentration caused by uneven heat dissipation. Building upon this insight, the proposed laser power modulation technique achieves a substantial reduction in cross-section roughness under optimized parameters, thereby synergistically enhancing both efficiency and quality. This study offers valuable insights and practical methodologies for high-quality and high-efficiency SiC wafer stealth dicing.
{"title":"Study on picosecond laser multi-layer modification and stealth dicing of 4H-SiC wafers based on laser power modulation","authors":"Yixiong Yan , Sijia Chen , Yuxuan Cheng , Cong Mao , Mingjun Zhang , Yu Zheng , Weidong Tang , Ji’an Duan","doi":"10.1016/j.optlastec.2026.114882","DOIUrl":"10.1016/j.optlastec.2026.114882","url":null,"abstract":"<div><div>In the ultrafast laser stealth dicing of silicon carbide wafers, achieving both high efficiency and superior quality remains a significant challenge in wafer manufacturing. To address this, this study innovatively proposes applying laser power modulation to multi-layer modified stealth dicing of 4H-SiC, aiming to enhance cross-section quality while maintaining processing efficiency. Experiments reveal that multi-layer modification dicing utilizing self-focusing effects achieves over fourfold efficiency gains compared to single-layer modification, yet results in significantly increased cross-section roughness. Molecular dynamics simulations reveal that this phenomenon stems from edge thermal stress concentration caused by uneven heat dissipation. Building upon this insight, the proposed laser power modulation technique achieves a substantial reduction in cross-section roughness under optimized parameters, thereby synergistically enhancing both efficiency and quality. This study offers valuable insights and practical methodologies for high-quality and high-efficiency SiC wafer stealth dicing.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114882"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-06DOI: 10.1016/j.optlastec.2026.114861
Haoyu Huang , Meixia Ma , You Wu , Syed Agha Hassnain Mohsan , Dongmei Deng , Qian Li , H.Y. Fu
To meet the ever-growing demands for the next-generation wireless network, integrated optical wireless positioning and communication (IOWPAC) technologies have emerged as viable solutions. However, in conventional systems, the exploration of two-dimensional (2D) spatial modes is insufficient to meet the capacity requirements and to realize multi-user communication. We propose an IOWPAC scheme with low-complexity algorithms, which is based on the petal-shift keying signals generated from the proposed real Olver-transformed vortex beam (ROTVB). The ROTVB forms a transverse, scalable 2D petal-lattice, where the spectral singularity creates azimuthal petals, while circular edge dislocations segment the intensity distribution into radial layers. In simulations, ROTVBs propagate with slight variance in field shapes after 100 , and their petals remain recognizable at 10 . Real-world environmental conditions and an obstacle are also emulated to examine the performance trends by typical metrics. In experiments, at 800 , an average positioning error of 93.7 , and a bit error rate (BER) of are achieved at 8 , at a constrained power. Single-channel error-free 84- communication is demonstrated at 100 . More significantly, this system realizes multi-user communication with a user identification accuracy of 99.8% and a BER of , for which the scalability is discussed. An average positioning error of 78.9 and a BER of are synchronously measured at 600 in the simultaneous-positioning-and-communication experiment. These results reveal the high accuracy in positioning and high capacity in communication and show the potential of the ROTVB for multi-user communication.
{"title":"Integrated optical wireless positioning and multi-user communication based on petal-shift keying structured beams","authors":"Haoyu Huang , Meixia Ma , You Wu , Syed Agha Hassnain Mohsan , Dongmei Deng , Qian Li , H.Y. Fu","doi":"10.1016/j.optlastec.2026.114861","DOIUrl":"10.1016/j.optlastec.2026.114861","url":null,"abstract":"<div><div>To meet the ever-growing demands for the next-generation wireless network, integrated optical wireless positioning and communication (IOWPAC) technologies have emerged as viable solutions. However, in conventional systems, the exploration of two-dimensional (2D) spatial modes is insufficient to meet the capacity requirements and to realize multi-user communication. We propose an IOWPAC scheme with low-complexity algorithms, which is based on the petal-shift keying signals generated from the proposed real Olver-transformed vortex beam (ROTVB). The ROTVB forms a transverse, scalable 2D petal-lattice, where the spectral singularity creates azimuthal petals, while circular edge dislocations segment the intensity distribution into radial layers. In simulations, ROTVBs propagate with slight variance in field shapes after 100 <span><math><mrow><mtext>m</mtext></mrow></math></span>, and their petals remain recognizable at 10 <span><math><mrow><mtext>km</mtext></mrow></math></span>. Real-world environmental conditions and an obstacle are also emulated to examine the performance trends by typical metrics. In experiments, at 800 <span><math><mrow><mtext>mm</mtext></mrow></math></span>, an average positioning error of 93.7 <span><math><mrow><mtext>μ</mtext><mi>m</mi></mrow></math></span>, and a bit error rate (BER) of <span><math><mn>2.6</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>3</mn></mrow></msup></math></span> are achieved at 8 <span><math><mrow><mi>bit</mi><mrow><mo>/</mo></mrow><mi>symbol</mi></mrow></math></span>, at a constrained power. Single-channel error-free 84-<span><math><mrow><mi>bit</mi><mrow><mo>/</mo></mrow><mi>symbol</mi></mrow></math></span> communication is demonstrated at 100 <span><math><mrow><mtext>mm</mtext></mrow></math></span>. More significantly, this system realizes multi-user communication with a user identification accuracy of 99.8% and a BER of <span><math><mn>8.6</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup></math></span>, for which the scalability is discussed. An average positioning error of 78.9 <span><math><mrow><mtext>μ</mtext><mi>m</mi></mrow></math></span> and a BER of <span><math><mn>1.0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup></math></span> are synchronously measured at 600 <span><math><mrow><mtext>mm</mtext></mrow></math></span> in the simultaneous-positioning-and-communication experiment. These results reveal the high accuracy in positioning and high capacity in communication and show the potential of the ROTVB for multi-user communication.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114861"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-10DOI: 10.1016/j.optlastec.2026.114883
Yufeng Liang , Youmin Rong , Zihao Feng , Tian Zhang , Long Chen , Xiufeng Liu , Guojun Zhang , Yu Huang
Laminated structure of carbon black and polyester film is often manufactured to light-shielding rings, and widely used in optical lens modules. It’s internal round chamfering can reduce stray light and improve lens imaging quality. A high-speed laser chamfering method synergistic using acousto-optic deflector (AOD)-galvanometer was proposed. The concentric circle scanning strategy was selected to reduce thermal effects. The equal pulse distribution between concentric circles was adopted to suppress contour fluctuations on the chamfer surface. In the synergistic AOD-galvanometer process, the galvanometer moved along the concentric circle trajectory, while the AOD rapidly deflected multiple pulses to the same position, reducing the jump time required for galvanometer repeat scanning. Compared to galvanometer scanning, this synergistic processing method reduced average processing time from 1.956 s to 0.869 s, achieving a 55.57% efficiency improvement. To enable controllable machining of chamfer angles, an angle model based on circle spacing and power was established. Model validation was conducted at chamfer angles of 30°, 40°, 50°, and 60°. The average error between predicted and actual machined angles was 0.22° (<5‰), confirming the high accuracy and practicality of the model.
{"title":"Laser high-efficient chamfering of carbon black and polyester film laminated structure collaborative application of acousto-optic deflector and galvanometer","authors":"Yufeng Liang , Youmin Rong , Zihao Feng , Tian Zhang , Long Chen , Xiufeng Liu , Guojun Zhang , Yu Huang","doi":"10.1016/j.optlastec.2026.114883","DOIUrl":"10.1016/j.optlastec.2026.114883","url":null,"abstract":"<div><div>Laminated structure of carbon black and polyester film is often manufactured to light-shielding rings, and widely used in optical lens modules. It’s internal round chamfering can reduce stray light and improve lens imaging quality. A high-speed laser chamfering method synergistic using acousto-optic deflector (AOD)-galvanometer was proposed. The concentric circle scanning strategy was selected to reduce thermal effects. The equal pulse distribution between concentric circles was adopted to suppress contour fluctuations on the chamfer surface. In the synergistic AOD-galvanometer process, the galvanometer moved along the concentric circle trajectory, while the AOD rapidly deflected multiple pulses to the same position, reducing the jump time required for galvanometer repeat scanning. Compared to galvanometer scanning, this synergistic processing method reduced average processing time from 1.956 s to 0.869 s, achieving a 55.57% efficiency improvement. To enable controllable machining of chamfer angles, an angle model based on circle spacing and power was established. Model validation was conducted at chamfer angles of 30°, 40°, 50°, and 60°. The average error between predicted and actual machined angles was 0.22° (<5‰), confirming the high accuracy and practicality of the model.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"198 ","pages":"Article 114883"},"PeriodicalIF":5.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-10DOI: 10.1016/j.optlastec.2026.114881
Yifan Zhao , Shihan Ding , Yiming Hu , Zhen Shang , Hongliang Liu , Yongjian Gu
The sensitivity of NV-center-based diamond sensors is closely related to the efficiency of fluorescence excitation and collection. Here, we demonstrate a waveguide-enhanced fluorescence approach, in which both the excitation laser (532 nm) and the emitted fluorescence (600–800 nm) are confined within femtosecond-laser-written optical waveguides in diamond. Compared with the point collection method using the same objective lens, this configuration yields a 7.4-fold increase in collected fluorescence intensity, thereby leading to an improvement in the magnetic field sensitivity. Owing to their compact dimensions and intrinsic integrability, the fabricated waveguides are readily compatible with photonic platforms and optical fibers, offering a promising route toward practical and scalable diamond quantum sensors.
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