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The reconstruction and defects detection of fiber pack
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-25 DOI: 10.1016/j.optlaseng.2024.108719
Tengyin Shi , Zhuo Zhang , Yaohui Xue , Jingze Lv , Yiqun Zhang
Fiber optic guidance technology is a crucial approach for weapon teleoperation. However, the reliable release of ultra-long-distance guidance fiber through tight winding has always posed a technical challenge that hinders its development. The winding and forming process of the guidance fiber pack often leads to various structural defects, significantly compromising its release reliability. Therefore, it is imperative to address geometric reconstruction and defect detection within the internal structure of formed fiber packs. In this study, an innovative approach is proposed utilizing industrial computerized tomography (CT) technology for precise geometric reconstruction and nondestructive defect detection in guidance fiber packs. The method initially acquires visualization data of the fiber pack through industrial CT scanning, followed by precise extraction of the fiber's cross-section centroid using image digitization techniques. Subsequently, an innovative algorithm based on centroid distance is developed for point determination, enabling the identification and connection of correlated centroid points to construct a geometric reconstruction model of the actual internal structure of the fiber pack for the first time. Finally, the geometric features of various typical structural defects are defined, and based on these features, the detection, identification, and location of the defects of the fiber pack structure are realized. Experimental results demonstrate that this method exhibits high accuracy and sensitivity, providing robust support for further advancements in fiber optic guidance technology.
{"title":"The reconstruction and defects detection of fiber pack","authors":"Tengyin Shi ,&nbsp;Zhuo Zhang ,&nbsp;Yaohui Xue ,&nbsp;Jingze Lv ,&nbsp;Yiqun Zhang","doi":"10.1016/j.optlaseng.2024.108719","DOIUrl":"10.1016/j.optlaseng.2024.108719","url":null,"abstract":"<div><div>Fiber optic guidance technology is a crucial approach for weapon teleoperation. However, the reliable release of ultra-long-distance guidance fiber through tight winding has always posed a technical challenge that hinders its development. The winding and forming process of the guidance fiber pack often leads to various structural defects, significantly compromising its release reliability. Therefore, it is imperative to address geometric reconstruction and defect detection within the internal structure of formed fiber packs. In this study, an innovative approach is proposed utilizing industrial computerized tomography (CT) technology for precise geometric reconstruction and nondestructive defect detection in guidance fiber packs. The method initially acquires visualization data of the fiber pack through industrial CT scanning, followed by precise extraction of the fiber's cross-section centroid using image digitization techniques. Subsequently, an innovative algorithm based on centroid distance is developed for point determination, enabling the identification and connection of correlated centroid points to construct a geometric reconstruction model of the actual internal structure of the fiber pack for the first time. Finally, the geometric features of various typical structural defects are defined, and based on these features, the detection, identification, and location of the defects of the fiber pack structure are realized. Experimental results demonstrate that this method exhibits high accuracy and sensitivity, providing robust support for further advancements in fiber optic guidance technology.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108719"},"PeriodicalIF":3.5,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accurately differentiating inflamed and healthy tissue samples by removing errors and noises in depth-resolved polarization parameter images
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-25 DOI: 10.1016/j.optlaseng.2024.108717
Ran Li, Wanrong Gao
The fiber-optics-based Mueller matrix polarization sensitive optical coherence tomography (PSOCT) can measure the complete depth-resolved Mueller matrices of biological samples and is a choice for practical clinical applications. To quantitatively interpret the measurement results, the system errors and the detection noise in a fiber-optics-based PSOCT are analyzed, simulated and eliminated. The depth-resolved polarization parameter images of the skin of inflamed and healthy mice are presented to demonstrate that the system has the capability of accurately differentiating between normal and diseased tissues. In addition, the values of the polarization parameters after removing the noise and their changes with depth may be helpful quantitative diagnosis of the diseases and the evaluation of the treatment.
{"title":"Accurately differentiating inflamed and healthy tissue samples by removing errors and noises in depth-resolved polarization parameter images","authors":"Ran Li,&nbsp;Wanrong Gao","doi":"10.1016/j.optlaseng.2024.108717","DOIUrl":"10.1016/j.optlaseng.2024.108717","url":null,"abstract":"<div><div>The fiber-optics-based Mueller matrix polarization sensitive optical coherence tomography (PSOCT) can measure the complete depth-resolved Mueller matrices of biological samples and is a choice for practical clinical applications. To quantitatively interpret the measurement results, the system errors and the detection noise in a fiber-optics-based PSOCT are analyzed, simulated and eliminated. The depth-resolved polarization parameter images of the skin of inflamed and healthy mice are presented to demonstrate that the system has the capability of accurately differentiating between normal and diseased tissues. In addition, the values of the polarization parameters after removing the noise and their changes with depth may be helpful quantitative diagnosis of the diseases and the evaluation of the treatment.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108717"},"PeriodicalIF":3.5,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimized galvanometric illumination for terahertz full-field imaging and computed tomography
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-25 DOI: 10.1016/j.optlaseng.2024.108714
Ran Ning , Dayong Wang , Yuzhe Zhang , Lu Rong , Yushi Zheng , Guangyan Guo , Shufeng Lin , Jie Zhao , Yunxin Wang , Min Wan
The pursuit of high-resolution, high-fidelity, real-time imaging is receiving significant attention in terahertz community. In this study, a versatile illumination approach based on a double-mirror galvanometer is proposed and optimized for multiple terahertz imaging approaches. We analyzed the mechanism of galvanometric illumination and elucidated two main factors affecting its homogeneity and parallelism properties. In our module, the terahertz beam is deflected rapidly by the galvanometer which is driven by triangular voltage signals, and then focused by a self-designed aspherical f-θ lens to illuminate the object at an equal lateral scanning velocity. The object beam of different transients is periodically superimposed along the Lissajous trajectory, and is recorded by an array microbolometer in a single integration of 3 s. A homogeneous illumination field is realized with a speckle contrast of 0.11, and the resultant image achieves isotropic resolution. By adopting the proposed galvanometric illumination strategy, the average intensity of the illumination field is increased by 135% compared to expanded coherent illumination, and the speckle contrast is reduced by 83.5% compared to other galvanometric illumination. By virtue of leading low speckle noise, illumination homogeneity and parallelism, a compact imaging system is built for terahertz full-field imaging and computed tomography achieving high imaging speed and fidelity. As a successful attestation of terahertz beam steering, this study is very promising to reduce the total cost, increase the performance and expand the application of terahertz imaging.
{"title":"Optimized galvanometric illumination for terahertz full-field imaging and computed tomography","authors":"Ran Ning ,&nbsp;Dayong Wang ,&nbsp;Yuzhe Zhang ,&nbsp;Lu Rong ,&nbsp;Yushi Zheng ,&nbsp;Guangyan Guo ,&nbsp;Shufeng Lin ,&nbsp;Jie Zhao ,&nbsp;Yunxin Wang ,&nbsp;Min Wan","doi":"10.1016/j.optlaseng.2024.108714","DOIUrl":"10.1016/j.optlaseng.2024.108714","url":null,"abstract":"<div><div>The pursuit of high-resolution, high-fidelity, real-time imaging is receiving significant attention in terahertz community. In this study, a versatile illumination approach based on a double-mirror galvanometer is proposed and optimized for multiple terahertz imaging approaches. We analyzed the mechanism of galvanometric illumination and elucidated two main factors affecting its homogeneity and parallelism properties. In our module, the terahertz beam is deflected rapidly by the galvanometer which is driven by triangular voltage signals, and then focused by a self-designed aspherical <em>f</em>-<em>θ</em> lens to illuminate the object at an equal lateral scanning velocity. The object beam of different transients is periodically superimposed along the Lissajous trajectory, and is recorded by an array microbolometer in a single integration of 3 s. A homogeneous illumination field is realized with a speckle contrast of 0.11, and the resultant image achieves isotropic resolution. By adopting the proposed galvanometric illumination strategy, the average intensity of the illumination field is increased by 135% compared to expanded coherent illumination, and the speckle contrast is reduced by 83.5% compared to other galvanometric illumination. By virtue of leading low speckle noise, illumination homogeneity and parallelism, a compact imaging system is built for terahertz full-field imaging and computed tomography achieving high imaging speed and fidelity. As a successful attestation of terahertz beam steering, this study is very promising to reduce the total cost, increase the performance and expand the application of terahertz imaging.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108714"},"PeriodicalIF":3.5,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Rapid fabrication of through-hole arrays in thin glass by femtosecond laser bursts assisted with chemical etching
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-24 DOI: 10.1016/j.optlaseng.2024.108698
Quanji Wang , Shaorui Yang , Le Liu , Zijing Yang , Xinke Xu , Si Wu , Xiaohui Su , Jun Duan , Lei Liu , Wei Xiong , Leimin Deng
A large-area vertical through-hole array in thin glass is rapidly fabricated by using femtosecond laser bursts assisted with chemical etching. By investigating the effects of the sub-pulse number and total pulse energy on the morphologies of the ablated microholes, as well as the effects of the chemical etching time and the concentration of HF acid solution on the morphologies of the through-holes, it is found that only under the condition that the upper surface of the glass microhole arrays is not ablated, but the exit is ablated by the femtosecond laser bursts with the increase of the sub-pulse number, a uniform and nearly vertical through-hole array can be obtained after etching in 5-wt% HF acid solution for 20 min. This single-step femtosecond laser bursts scanning method can significantly improve the fabrication efficiency of the ablated microhole arrays to about 18,000 microholes per second, which might provide a new technical guide for rapidly fabricating large-area vertical through-hole arrays in thin glass.
{"title":"Rapid fabrication of through-hole arrays in thin glass by femtosecond laser bursts assisted with chemical etching","authors":"Quanji Wang ,&nbsp;Shaorui Yang ,&nbsp;Le Liu ,&nbsp;Zijing Yang ,&nbsp;Xinke Xu ,&nbsp;Si Wu ,&nbsp;Xiaohui Su ,&nbsp;Jun Duan ,&nbsp;Lei Liu ,&nbsp;Wei Xiong ,&nbsp;Leimin Deng","doi":"10.1016/j.optlaseng.2024.108698","DOIUrl":"10.1016/j.optlaseng.2024.108698","url":null,"abstract":"<div><div>A large-area vertical through-hole array in thin glass is rapidly fabricated by using femtosecond laser bursts assisted with chemical etching. By investigating the effects of the sub-pulse number and total pulse energy on the morphologies of the ablated microholes, as well as the effects of the chemical etching time and the concentration of HF acid solution on the morphologies of the through-holes, it is found that only under the condition that the upper surface of the glass microhole arrays is not ablated, but the exit is ablated by the femtosecond laser bursts with the increase of the sub-pulse number, a uniform and nearly vertical through-hole array can be obtained after etching in 5-wt% HF acid solution for 20 min. This single-step femtosecond laser bursts scanning method can significantly improve the fabrication efficiency of the ablated microhole arrays to about 18,000 microholes per second, which might provide a new technical guide for rapidly fabricating large-area vertical through-hole arrays in thin glass.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108698"},"PeriodicalIF":3.5,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Micro-Raman spectroscopy investigation of deformation transfer at the interface between Bi2Se3 nanoflakes and a flexible substrate
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-21 DOI: 10.1016/j.optlaseng.2024.108705
Miaojing Wang , Huadan Xing , Rubing Li , Qiu Li , Wei Qiu
The experimental investigation of the mechanical behavior at the interface between a few-layer Bi2Se3 nanoflake and flexible substrate is of great significance for the structural design and performance development of electronic devices based on topological insulator nanostructure. A quantitative micro-Raman study of the interfacial deformation transfer behavior was performed in this work. Combined with micro-Raman spectroscopy and in-situ loading, the Raman shift-strain coefficients of A1g phonon modes for Bi2Se3 nanoflakes with different longitudinal and transverse dimensions on the flexible substrate were calibrated, and the longitudinal dimensions were determined using a rapid and reliable optical identification method developed based on the optical contrast difference. In addition, an interfacial bonding phenomenological model was proposed to analyze the process of interfacial re-bonding after debonding with increasing strain and the interfacial bonding enhancement after cyclic loading. The influences of transverse dimension and thickness of Bi2Se3 nanoflakes on the interfacial bonding and deformation transfer were quantified by calibrating Raman shift-strain coefficients for multiple samples and were further attributed to the edge effect of the interfacial shear force and decline of interfacial deformation transfer with the layers, respectively.
{"title":"Micro-Raman spectroscopy investigation of deformation transfer at the interface between Bi2Se3 nanoflakes and a flexible substrate","authors":"Miaojing Wang ,&nbsp;Huadan Xing ,&nbsp;Rubing Li ,&nbsp;Qiu Li ,&nbsp;Wei Qiu","doi":"10.1016/j.optlaseng.2024.108705","DOIUrl":"10.1016/j.optlaseng.2024.108705","url":null,"abstract":"<div><div>The experimental investigation of the mechanical behavior at the interface between a few-layer Bi<sub>2</sub>Se<sub>3</sub> nanoflake and flexible substrate is of great significance for the structural design and performance development of electronic devices based on topological insulator nanostructure. A quantitative micro-Raman study of the interfacial deformation transfer behavior was performed in this work. Combined with micro-Raman spectroscopy and in-situ loading, the Raman shift-strain coefficients of A<sub>1g</sub> phonon modes for Bi<sub>2</sub>Se<sub>3</sub> nanoflakes with different longitudinal and transverse dimensions on the flexible substrate were calibrated, and the longitudinal dimensions were determined using a rapid and reliable optical identification method developed based on the optical contrast difference. In addition, an interfacial bonding phenomenological model was proposed to analyze the process of interfacial re-bonding after debonding with increasing strain and the interfacial bonding enhancement after cyclic loading. The influences of transverse dimension and thickness of Bi<sub>2</sub>Se<sub>3</sub> nanoflakes on the interfacial bonding and deformation transfer were quantified by calibrating Raman shift-strain coefficients for multiple samples and were further attributed to the edge effect of the interfacial shear force and decline of interfacial deformation transfer with the layers, respectively.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108705"},"PeriodicalIF":3.5,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Illumination enhancement discriminator and compensation attention based low-light visible and infrared image fusion
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-21 DOI: 10.1016/j.optlaseng.2024.108700
Xingfei Zhang , Gang Liu , Mengliang Xing , Gaoqiang Wang , Durga Prasad Bavirisetti
Infrared and visible image fusion is an important image enhancement technology, aiming to generate high-quality fused images with prominent targets and rich textures in extreme environments. However, most existing image fusion methods are designed for infrared and visible images under normal lighting. At night, due to severe degradation of visible images, existing fusion methods have deficiencies in texture details and visual perception, which affects subsequent visual applications. To this end, this paper proposes a three-discriminator infrared and visible image fusion method based on GAN network. Specifically, this method adds an illumination enhancement discriminator based on the GAN-based dual discriminator fusion network. The input of this discriminator is the fused image generated by the generator and the low-light enhanced visible light image. By fighting in the third discriminator, it is ensured that the fused image output by the generator achieves the expected effect on the brightness information. In addition, this method also proposes a compensation attention module to convey the multi-scale features extracted by the feature extraction network and ensure that the fused image contains important detailed texture information. Compared with other fusion methods on public data sets such as MSRS, M3FD, Roadscence and TNO, the fusion results of this paper perform better in both quantitative measurement and qualitative effects. It also performs better in enhancing the brightness information.
{"title":"Illumination enhancement discriminator and compensation attention based low-light visible and infrared image fusion","authors":"Xingfei Zhang ,&nbsp;Gang Liu ,&nbsp;Mengliang Xing ,&nbsp;Gaoqiang Wang ,&nbsp;Durga Prasad Bavirisetti","doi":"10.1016/j.optlaseng.2024.108700","DOIUrl":"10.1016/j.optlaseng.2024.108700","url":null,"abstract":"<div><div>Infrared and visible image fusion is an important image enhancement technology, aiming to generate high-quality fused images with prominent targets and rich textures in extreme environments. However, most existing image fusion methods are designed for infrared and visible images under normal lighting. At night, due to severe degradation of visible images, existing fusion methods have deficiencies in texture details and visual perception, which affects subsequent visual applications. To this end, this paper proposes a three-discriminator infrared and visible image fusion method based on GAN network. Specifically, this method adds an illumination enhancement discriminator based on the GAN-based dual discriminator fusion network. The input of this discriminator is the fused image generated by the generator and the low-light enhanced visible light image. By fighting in the third discriminator, it is ensured that the fused image output by the generator achieves the expected effect on the brightness information. In addition, this method also proposes a compensation attention module to convey the multi-scale features extracted by the feature extraction network and ensure that the fused image contains important detailed texture information. Compared with other fusion methods on public data sets such as MSRS, M3FD, Roadscence and TNO, the fusion results of this paper perform better in both quantitative measurement and qualitative effects. It also performs better in enhancing the brightness information.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108700"},"PeriodicalIF":3.5,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Autofocusing method for active Hadamard single-pixel microscopy using gradient descent algorithms
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-21 DOI: 10.1016/j.optlaseng.2024.108699
Heberley Tobón-Maya , Samuel I. Zapata-Valencia , Lindsey Willstatter , Stefano Bonora , Andrea Farina , Jesús Lancis , Enrique Tajahuerce
In active single-pixel microscopy (SPM) the final image quality is mainly determined by the correct focusing of a set of structured light patterns over the sample under study. The correct pattern checking represents a recurrent time-consuming task. In this work a fast, reconstruction-less autofocusing correction method for Hadamard-based reflective SPM is presented. The defocus phenomenon in SPM is physically described, and numerically and experimentally evaluated. A focus tunable lens is employed to introduce a controllable phase and correct the defocusing aberration. The value of the focal length correction is evaluated by analyzing a reduced region of interest within the Hadamard frequency space which ensures fast and reconstructionless operation for the autofocus routine. The sum of the absolute value of the measured sampled frequencies reaches its maximum value when the defocus is fully corrected. The inverse of the calculated sum is minimized using the gradient descent algorithm within an average of 9 experimental iterations to reach the optimal phase value. The performance of the method is tested experimentally with a resolution test chart placed along the focusing axis.
{"title":"Autofocusing method for active Hadamard single-pixel microscopy using gradient descent algorithms","authors":"Heberley Tobón-Maya ,&nbsp;Samuel I. Zapata-Valencia ,&nbsp;Lindsey Willstatter ,&nbsp;Stefano Bonora ,&nbsp;Andrea Farina ,&nbsp;Jesús Lancis ,&nbsp;Enrique Tajahuerce","doi":"10.1016/j.optlaseng.2024.108699","DOIUrl":"10.1016/j.optlaseng.2024.108699","url":null,"abstract":"<div><div>In active single-pixel microscopy (SPM) the final image quality is mainly determined by the correct focusing of a set of structured light patterns over the sample under study. The correct pattern checking represents a recurrent time-consuming task. In this work a fast, reconstruction-less autofocusing correction method for Hadamard-based reflective SPM is presented. The defocus phenomenon in SPM is physically described, and numerically and experimentally evaluated. A focus tunable lens is employed to introduce a controllable phase and correct the defocusing aberration. The value of the focal length correction is evaluated by analyzing a reduced region of interest within the Hadamard frequency space which ensures fast and reconstructionless operation for the autofocus routine. The sum of the absolute value of the measured sampled frequencies reaches its maximum value when the defocus is fully corrected. The inverse of the calculated sum is minimized using the gradient descent algorithm within an average of 9 experimental iterations to reach the optimal phase value. The performance of the method is tested experimentally with a resolution test chart placed along the focusing axis.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108699"},"PeriodicalIF":3.5,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Low-rank adaptive transfer learning based for multi-label defect detection in laser powder bed fusion 基于低等级自适应迁移学习的激光粉末床融合中的多标签缺陷检测
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-20 DOI: 10.1016/j.optlaseng.2024.108683
Lang Cheng , Zimeng Jiang , Hesai Wang , Chenguang Ma , Aoming Zhang , Honghong Du , Canneng Fang , Kai Wu , Yingjie Zhang
Defects in the laser powder bed fusion (L-PBF) process have significantly hindered the broader application of this technology, and consistent quality assurance remains a critical challenge. To address this, real-time monitoring technologies are urgently required to effectively guide the production of high-quality parts. Although deep learning has advanced the intelligent development of powder bed defect detection methods, challenges persist in terms of model generalizability and robustness in complex environments. Additionally, the accurate labeling and recognition of tiny or overlapping defects remain difficult tasks. In this study, we propose a novel method for in-situ monitoring of L-PBF powder bed defects, integrating low-rank adaptive transfer learning with multi-label classification. This method offers a robust solution for in-situ monitoring under complex and variable conditions, achieving high recognition accuracy for composite powder bed defects while maintaining a low training cost. Our approach attains a testing exact match ratio of 93.28 % with significantly fewer training parameters (1.6956M), surpassing full fine-tuning methods. Furthermore, the proposed method demonstrates enhanced robustness in scenarios with limited training samples and complex conditions. When transferred to a selective laser sintering defect dataset, the method achieves a 99.32 % testing exact match ratio within just 10 epochs, illustrating its effectiveness in cross-task and cross-process transfer learning. The proposed method holds promise for efficient powder bed defect identification across different additive manufacturing processes.
激光粉末床熔融(L-PBF)工艺中的缺陷极大地阻碍了这一技术的广泛应用,而始终如一的质量保证仍然是一项严峻的挑战。为此,迫切需要实时监控技术来有效指导高质量零件的生产。虽然深度学习推动了粉末床缺陷检测方法的智能化发展,但在复杂环境下的模型泛化和鲁棒性方面仍存在挑战。此外,准确标记和识别微小或重叠缺陷仍然是一项艰巨的任务。在本研究中,我们提出了一种用于原位监测 L-PBF 粉末床缺陷的新方法,将低秩自适应迁移学习与多标签分类相结合。该方法为复杂多变条件下的原位监测提供了一种稳健的解决方案,在保持较低训练成本的同时,实现了对复合粉末床缺陷的高识别精度。我们的方法以显著较少的训练参数(1.6956M)实现了 93.28 % 的测试精确匹配率,超过了完全微调方法。此外,在训练样本有限和条件复杂的情况下,所提出的方法也表现出更强的鲁棒性。当转移到选择性激光烧结缺陷数据集时,该方法在短短 10 个历时内就达到了 99.32 % 的测试精确匹配率,这说明了它在跨任务和跨过程转移学习中的有效性。所提出的方法有望在不同的增材制造工艺中实现高效的粉末床缺陷识别。
{"title":"Low-rank adaptive transfer learning based for multi-label defect detection in laser powder bed fusion","authors":"Lang Cheng ,&nbsp;Zimeng Jiang ,&nbsp;Hesai Wang ,&nbsp;Chenguang Ma ,&nbsp;Aoming Zhang ,&nbsp;Honghong Du ,&nbsp;Canneng Fang ,&nbsp;Kai Wu ,&nbsp;Yingjie Zhang","doi":"10.1016/j.optlaseng.2024.108683","DOIUrl":"10.1016/j.optlaseng.2024.108683","url":null,"abstract":"<div><div>Defects in the laser powder bed fusion (L-PBF) process have significantly hindered the broader application of this technology, and consistent quality assurance remains a critical challenge. To address this, real-time monitoring technologies are urgently required to effectively guide the production of high-quality parts. Although deep learning has advanced the intelligent development of powder bed defect detection methods, challenges persist in terms of model generalizability and robustness in complex environments. Additionally, the accurate labeling and recognition of tiny or overlapping defects remain difficult tasks. In this study, we propose a novel method for in-situ monitoring of L-PBF powder bed defects, integrating low-rank adaptive transfer learning with multi-label classification. This method offers a robust solution for in-situ monitoring under complex and variable conditions, achieving high recognition accuracy for composite powder bed defects while maintaining a low training cost. Our approach attains a testing exact match ratio of 93.28 % with significantly fewer training parameters (1.6956M), surpassing full fine-tuning methods. Furthermore, the proposed method demonstrates enhanced robustness in scenarios with limited training samples and complex conditions. When transferred to a selective laser sintering defect dataset, the method achieves a 99.32 % testing exact match ratio within just 10 epochs, illustrating its effectiveness in cross-task and cross-process transfer learning. The proposed method holds promise for efficient powder bed defect identification across different additive manufacturing processes.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"184 ","pages":"Article 108683"},"PeriodicalIF":3.5,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142697218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A comparative study of pump-probe photothermal spectroscopy using mach-zehnder interferometer and in-fiber mode interferometer
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-20 DOI: 10.1016/j.optlaseng.2024.108695
Mengyuan Hu , Chenyu Yao , Mai Hu , Chao Wei , Wei Ren
We report a comparative study of mid-infrared photothermal spectroscopy using a Mach-Zehnder interferometer and an in-fiber mode interferometer using a tellurite hollow-core antiresonant fiber (HC-ARF). A quantum cascade laser (QCL) at 5.26 µm serves as the pump laser and is coupled into the HC-ARF to detect nitric oxide (NO). In both interferometric setups, a 1.55 µm probe laser is used to measure the phase variation induced by absorption. The Mach-Zehnder interferometer uses a servo-loop feedback control to achieve quadrature point operation, while the mode interferometer uses passive stabilization based on common mode rejection. With a fiber length of 35 cm, we achieve a noise equivalent concentration of 60 ppb with the Mach-Zehnder interferometer and 0.8 ppb with the mode interferometer. In addition, the response of the sensor to modulation parameters, gas concentration, pump power and long-term stability is also discussed in this study.
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引用次数: 0
Binocular composite grayscale fringe projection profilometry based on deep learning for single-shot 3D measurements
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-11-20 DOI: 10.1016/j.optlaseng.2024.108701
Junyi Lin , Qi Dou , Qianbao Cheng , Changbiao Huang , Ping Lu , Hua Liu
The efficiency and precision of 3D shape reconstruction has been a focus in the fringe projection profilometry (FPP). However, achieving high-quality 3D measurement for isolated or overlapping objects from single fringe image is still a challenging task in the field. In this paper, a binocular composite grayscale fringe projection profilometry (BCGFPP) based on deep learning is proposed, in which a two-stage one-to-three network (TONet) is trained to predict the images required for phase unwrapping. The obtained absolute phase map exhibits high precision and eliminates deviation error and periodic ambiguity typically encountered in traditional sinusoidal composite fringe coding scheme. Haar transform principle is employed to form a Haar-like composite fringe pattern (HCFP), which consists of three different frequencies, serving as the input. TONet architecture is designed to predict images required by the tri-frequency four-step phase-shifting method (TFPM). Further, the absolute phase is calculated and the disparity map is obtained by matching the absolute phase of the left and right cameras. Finally, the 3D shape of the object can be restored by the system calibration parameters. Experimental results demonstrate the approach can greatly reduce the number of fringes required and achieve the accuracy of the absolute phase close to the training set.
{"title":"Binocular composite grayscale fringe projection profilometry based on deep learning for single-shot 3D measurements","authors":"Junyi Lin ,&nbsp;Qi Dou ,&nbsp;Qianbao Cheng ,&nbsp;Changbiao Huang ,&nbsp;Ping Lu ,&nbsp;Hua Liu","doi":"10.1016/j.optlaseng.2024.108701","DOIUrl":"10.1016/j.optlaseng.2024.108701","url":null,"abstract":"<div><div>The efficiency and precision of 3D shape reconstruction has been a focus in the fringe projection profilometry (FPP). However, achieving high-quality 3D measurement for isolated or overlapping objects from single fringe image is still a challenging task in the field. In this paper, a binocular composite grayscale fringe projection profilometry (BCGFPP) based on deep learning is proposed, in which a two-stage one-to-three network (TO<img>Net) is trained to predict the images required for phase unwrapping. The obtained absolute phase map exhibits high precision and eliminates deviation error and periodic ambiguity typically encountered in traditional sinusoidal composite fringe coding scheme. Haar transform principle is employed to form a Haar-like composite fringe pattern (HCFP), which consists of three different frequencies, serving as the input. TO<img>Net architecture is designed to predict images required by the tri-frequency four-step phase-shifting method (TFPM). Further, the absolute phase is calculated and the disparity map is obtained by matching the absolute phase of the left and right cameras. Finally, the 3D shape of the object can be restored by the system calibration parameters. Experimental results demonstrate the approach can greatly reduce the number of fringes required and achieve the accuracy of the absolute phase close to the training set.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108701"},"PeriodicalIF":3.5,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Optics and Lasers in Engineering
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