The fusion of infrared and visible images should emphasize the salient targets in the infrared image while preserving the textural details of the visible images.To meet these requirements,an autoencoder-based method f...The fusion of infrared and visible images should emphasize the salient targets in the infrared image while preserving the textural details of the visible images.To meet these requirements,an autoencoder-based method for infrared and visible image fusion is proposed.The encoder designed according to the optimization objective consists of a base encoder and a detail encoder,which is used to extract low-frequency and high-frequency information from the image.This extraction may lead to some information not being captured,so a compensation encoder is proposed to supplement the missing information.Multi-scale decomposition is also employed to extract image features more comprehensively.The decoder combines low-frequency,high-frequency and supplementary information to obtain multi-scale features.Subsequently,the attention strategy and fusion module are introduced to perform multi-scale fusion for image reconstruction.Experimental results on three datasets show that the fused images generated by this network effectively retain salient targets while being more consistent with human visual perception.展开更多
Laser powder-bed fusion(LPBF)of Zn-0.8Cu(wt.%)alloys exhibits significant advantages in the customization of biodegradable bone implants.However,the formability of LPBFed Zn alloy is not sufficient due to the spheroid...Laser powder-bed fusion(LPBF)of Zn-0.8Cu(wt.%)alloys exhibits significant advantages in the customization of biodegradable bone implants.However,the formability of LPBFed Zn alloy is not sufficient due to the spheroidization during the interaction of powder and laser beam,of which the mechanism is still not well understood.In this study,the evolution of morphology and grain structure of the LPBFed Zn-Cu alloy was investigated based on single-track deposition experiments.As the scanning speed increases,the grain structure of a single track of Zn-Cu alloy gradually refines,but the formability deteriorates,leading to the defect’s formation in the subsequent fabrication.The Zn-Cu alloys fabricated by optimum processing parameters exhibit a tensile strength of 157.13 MPa,yield strength of 106.48 MPa and elongation of 14.7%.This work provides a comprehensive understanding of the processing optimization of Zn-Cu alloy,achieving LPBFed Zn-Cu alloy with high density and excellent mechanical properties.展开更多
Accurate estimation of lithium battery state-of-health(SOH)is essential for ensuring safe operation and efficient utilization.To address the challenges of complex degradation factors and unreliable feature extraction,...Accurate estimation of lithium battery state-of-health(SOH)is essential for ensuring safe operation and efficient utilization.To address the challenges of complex degradation factors and unreliable feature extraction,we develop a novel SOH prediction model integrating physical information constraints and multimodal feature fusion.Our approach employs a multi-channel encoder to process heterogeneous data modalities,including health indicators,raw charge/discharge sequences,and incremental capacity data,and uses multi-channel encoders to achieve structured input.A physics-informed loss function,derived from an empirical capacity decay equation,is incorporated to enforce interpretability,while a cross-layer attention mechanism dynamically weights features to handle missing modalities and random noise.Experimental validation on multiple battery types demonstrates that our model reduces mean absolute error(MAE)by at least 51.09%compared to unimodal baselines,maintains robustness under adverse conditions such as partial data loss,and achieves an average MAE of 0.0201 in real-world battery pack applications.This model significantly enhances the accuracy and universality of prediction,enabling accurate prediction of battery SOH under actual engineering conditions.展开更多
Intercepting high-maneuverability hypersonic targets in near-space environments poses significant challenges due to their extreme speeds and evasive capabilities.To address these challenges,this study presents an inte...Intercepting high-maneuverability hypersonic targets in near-space environments poses significant challenges due to their extreme speeds and evasive capabilities.To address these challenges,this study presents an integrated approach that combines a Three-Dimensional Finite-Time Optimal Cooperative Guidance Law(FTOC)with an Information Fusion Anti-saturation Predefined-time Observer(IFAPO).The proposed FTOC guidance law employs a nonlinear,non-quadratic finite-time optimal control strategy designed for rapid convergence within the limited timeframes of near-space interceptions,avoiding the need for remaining flight time estimation or linear decoupling inherent in traditional methods.To complement the guidance strategy,the IFAPO leverages multi-source information fusion theory and incorporates anti-saturation mechanisms to enhance target maneuver estimation.This method ensures accurate and real-time prediction of target acceleration while maintaining predefined convergence performance,even under complex interception conditions.By integrating the FTOC guidance law and IFAPO,the approach optimizes cooperative missile positioning,improves interception success rates,and minimizes fuel consumption,addressing practical constraints in military applications.Simulation results and comparative analyses confirm the effectiveness of the integrated approach,demonstrating its capability to achieve cooperative interception of highly maneuvering targets with enhanced efficiency and reduced economic costs,aligning with realistic combat scenarios.展开更多
The research demonstrated that laser powder bed fusion(LPBF)coupled with controlled annealing at 1200°C,could significantly increase the proportion of coincidence site lattice(CSL)grain boundary,thereby achieving...The research demonstrated that laser powder bed fusion(LPBF)coupled with controlled annealing at 1200°C,could significantly increase the proportion of coincidence site lattice(CSL)grain boundary,thereby achieving an outstanding synergy of enhanced strength and exceptional ductility.The plastic deformation behavior,strain hardening behavior,and fracture behavior of LPBF 316L steel annealing at 1200℃for 20 h were studied through quasi-in-situ tensile process.It was found that LPBF 316L steel formed a certain proportion of deformation twins during the tensile process,and the formation of twins changed the crystal orientation,thus promoting further slip and crystal deformation.The synergistic effect of slip and twin promoted higher plasticity.LPBF process coupled with controlled annealing at 1200°C for 20 h leads to a ultimate tensile strength of 613 MPa and total elongation of 73.8%.展开更多
In order to obtain better inverse synthetic aperture radar(ISAR)image,a novel structure-enhanced spatial spectrum is proposed for estimating the incoherence parameters and fusing multiband.The proposed method takes fu...In order to obtain better inverse synthetic aperture radar(ISAR)image,a novel structure-enhanced spatial spectrum is proposed for estimating the incoherence parameters and fusing multiband.The proposed method takes full advantage of the original electromagnetic scattering data and its conjugated form by combining them with the novel covariance matrices.To analyse the superiority of the modified algorithm,the mathematical expression of equivalent signal to noise ratio(SNR)is derived,which can validate our proposed algorithm theoretically.In addition,compared with the conventional matrix pencil(MP)algorithm and the conventional root-multiple signal classification(Root-MUSIC)algorithm,the proposed algorithm has better parameter estimation performance and more accurate multiband fusion results at the same SNR situations.Validity and effectiveness of the proposed algorithm is demonstrated by simulation data and real radar data.展开更多
Additive manufacturing(AM)of SiC_(P)/Al composites has shown significant potential for expanding the application of aluminum matrix composites(AMCs)due to their outstanding mechanical properties and wear performance.H...Additive manufacturing(AM)of SiC_(P)/Al composites has shown significant potential for expanding the application of aluminum matrix composites(AMCs)due to their outstanding mechanical properties and wear performance.However,conventional mechanically mixed powders for AM are limited due to the possible powder agglomeration and poor fluidity.In this study,the spherical SiC_(P)/AlSi10Mg composite powders prepared by spray granulation were employed to fabricate SiC_(P)-reinforced AlSi10Mg composites using laser powder bed fusion(LPBF).The impacts of laser power on microstructure evolution and wear properties of composites were systematically investigated.The results indicated that an in-situ reaction between the aluminum matrix and SiC_(P)during the LpBF process,resulted in the formation of particle-like and strip-like strengthening phase Al_(4)SiC_(4).By adjusting the laser power(from 270 W to 350 W)to change the ratio of SiC_(P)to Al_(4)SiC_(4),micro-defects could be effectively limited,and wear performance could be improved.Consequently,with an optimized ratio of SiC_(P)to Al_(4)SiC_(4),the composite exhibited a mixed strengthening mechanism caused by the SiC_(P)and Al_(4)SiC_(4)reinforcing phases.At a laser power of 310 W,the sample exhibited minimal porosity with a microhardness value reaching 265.38HV,while maintaining relatively low average friction coefficient and wear rate.In addition,compared with other studies,the hardness obtained was superior to that of the AlSi10Mg and other reported SiC_(P)/AlSi10Mg composites with similar volume fractions using the mixed powders.展开更多
基金Supported by the Henan Province Key Research and Development Project(231111211300)the Central Government of Henan Province Guides Local Science and Technology Development Funds(Z20231811005)+2 种基金Henan Province Key Research and Development Project(231111110100)Henan Provincial Outstanding Foreign Scientist Studio(GZS2024006)Henan Provincial Joint Fund for Scientific and Technological Research and Development Plan(Application and Overcoming Technical Barriers)(242103810028)。
文摘The fusion of infrared and visible images should emphasize the salient targets in the infrared image while preserving the textural details of the visible images.To meet these requirements,an autoencoder-based method for infrared and visible image fusion is proposed.The encoder designed according to the optimization objective consists of a base encoder and a detail encoder,which is used to extract low-frequency and high-frequency information from the image.This extraction may lead to some information not being captured,so a compensation encoder is proposed to supplement the missing information.Multi-scale decomposition is also employed to extract image features more comprehensively.The decoder combines low-frequency,high-frequency and supplementary information to obtain multi-scale features.Subsequently,the attention strategy and fusion module are introduced to perform multi-scale fusion for image reconstruction.Experimental results on three datasets show that the fused images generated by this network effectively retain salient targets while being more consistent with human visual perception.
基金Project(2022YFC2406000)supported by the National Key R&D Program,ChinaProject(2022GDASZH-2022010107)supported by the Guangdong Academy of Science,China+4 种基金Project(2019BT02C629)supported by the Guangdong Special Support Program,ChinaProject(2022GDASZH-2022010203-003)supported by the GDAS’project of Science and Technology Development,ChinaProjects(2023B1212120008,2023B1212060045)supported by the Guangdong Province Science and Technology Plan Projects,ChinaProject(2023TQ07Z559)supported by the Special Support Foundation of Guangdong Province,ChinaProject(52105293)supported by the National Natural Science Foundation of China。
文摘Laser powder-bed fusion(LPBF)of Zn-0.8Cu(wt.%)alloys exhibits significant advantages in the customization of biodegradable bone implants.However,the formability of LPBFed Zn alloy is not sufficient due to the spheroidization during the interaction of powder and laser beam,of which the mechanism is still not well understood.In this study,the evolution of morphology and grain structure of the LPBFed Zn-Cu alloy was investigated based on single-track deposition experiments.As the scanning speed increases,the grain structure of a single track of Zn-Cu alloy gradually refines,but the formability deteriorates,leading to the defect’s formation in the subsequent fabrication.The Zn-Cu alloys fabricated by optimum processing parameters exhibit a tensile strength of 157.13 MPa,yield strength of 106.48 MPa and elongation of 14.7%.This work provides a comprehensive understanding of the processing optimization of Zn-Cu alloy,achieving LPBFed Zn-Cu alloy with high density and excellent mechanical properties.
基金Project(2023YFB2303704-07)supported by the National Natural Science Foundation of China。
文摘Accurate estimation of lithium battery state-of-health(SOH)is essential for ensuring safe operation and efficient utilization.To address the challenges of complex degradation factors and unreliable feature extraction,we develop a novel SOH prediction model integrating physical information constraints and multimodal feature fusion.Our approach employs a multi-channel encoder to process heterogeneous data modalities,including health indicators,raw charge/discharge sequences,and incremental capacity data,and uses multi-channel encoders to achieve structured input.A physics-informed loss function,derived from an empirical capacity decay equation,is incorporated to enforce interpretability,while a cross-layer attention mechanism dynamically weights features to handle missing modalities and random noise.Experimental validation on multiple battery types demonstrates that our model reduces mean absolute error(MAE)by at least 51.09%compared to unimodal baselines,maintains robustness under adverse conditions such as partial data loss,and achieves an average MAE of 0.0201 in real-world battery pack applications.This model significantly enhances the accuracy and universality of prediction,enabling accurate prediction of battery SOH under actual engineering conditions.
基金supported by the National Natural Science Foundation of China(Grant No.61773142).
文摘Intercepting high-maneuverability hypersonic targets in near-space environments poses significant challenges due to their extreme speeds and evasive capabilities.To address these challenges,this study presents an integrated approach that combines a Three-Dimensional Finite-Time Optimal Cooperative Guidance Law(FTOC)with an Information Fusion Anti-saturation Predefined-time Observer(IFAPO).The proposed FTOC guidance law employs a nonlinear,non-quadratic finite-time optimal control strategy designed for rapid convergence within the limited timeframes of near-space interceptions,avoiding the need for remaining flight time estimation or linear decoupling inherent in traditional methods.To complement the guidance strategy,the IFAPO leverages multi-source information fusion theory and incorporates anti-saturation mechanisms to enhance target maneuver estimation.This method ensures accurate and real-time prediction of target acceleration while maintaining predefined convergence performance,even under complex interception conditions.By integrating the FTOC guidance law and IFAPO,the approach optimizes cooperative missile positioning,improves interception success rates,and minimizes fuel consumption,addressing practical constraints in military applications.Simulation results and comparative analyses confirm the effectiveness of the integrated approach,demonstrating its capability to achieve cooperative interception of highly maneuvering targets with enhanced efficiency and reduced economic costs,aligning with realistic combat scenarios.
基金Project(52474418)supported by the National Natural Science Foundation of ChinaProject(YDZJSX2022A012)supported by the Central Guiding Local Science and Technology Development Foundation,China。
文摘The research demonstrated that laser powder bed fusion(LPBF)coupled with controlled annealing at 1200°C,could significantly increase the proportion of coincidence site lattice(CSL)grain boundary,thereby achieving an outstanding synergy of enhanced strength and exceptional ductility.The plastic deformation behavior,strain hardening behavior,and fracture behavior of LPBF 316L steel annealing at 1200℃for 20 h were studied through quasi-in-situ tensile process.It was found that LPBF 316L steel formed a certain proportion of deformation twins during the tensile process,and the formation of twins changed the crystal orientation,thus promoting further slip and crystal deformation.The synergistic effect of slip and twin promoted higher plasticity.LPBF process coupled with controlled annealing at 1200°C for 20 h leads to a ultimate tensile strength of 613 MPa and total elongation of 73.8%.
文摘In order to obtain better inverse synthetic aperture radar(ISAR)image,a novel structure-enhanced spatial spectrum is proposed for estimating the incoherence parameters and fusing multiband.The proposed method takes full advantage of the original electromagnetic scattering data and its conjugated form by combining them with the novel covariance matrices.To analyse the superiority of the modified algorithm,the mathematical expression of equivalent signal to noise ratio(SNR)is derived,which can validate our proposed algorithm theoretically.In addition,compared with the conventional matrix pencil(MP)algorithm and the conventional root-multiple signal classification(Root-MUSIC)algorithm,the proposed algorithm has better parameter estimation performance and more accurate multiband fusion results at the same SNR situations.Validity and effectiveness of the proposed algorithm is demonstrated by simulation data and real radar data.
基金Project(20224BBE51044)supported by the Key R&D Program of Jiangxi Province,China。
文摘Additive manufacturing(AM)of SiC_(P)/Al composites has shown significant potential for expanding the application of aluminum matrix composites(AMCs)due to their outstanding mechanical properties and wear performance.However,conventional mechanically mixed powders for AM are limited due to the possible powder agglomeration and poor fluidity.In this study,the spherical SiC_(P)/AlSi10Mg composite powders prepared by spray granulation were employed to fabricate SiC_(P)-reinforced AlSi10Mg composites using laser powder bed fusion(LPBF).The impacts of laser power on microstructure evolution and wear properties of composites were systematically investigated.The results indicated that an in-situ reaction between the aluminum matrix and SiC_(P)during the LpBF process,resulted in the formation of particle-like and strip-like strengthening phase Al_(4)SiC_(4).By adjusting the laser power(from 270 W to 350 W)to change the ratio of SiC_(P)to Al_(4)SiC_(4),micro-defects could be effectively limited,and wear performance could be improved.Consequently,with an optimized ratio of SiC_(P)to Al_(4)SiC_(4),the composite exhibited a mixed strengthening mechanism caused by the SiC_(P)and Al_(4)SiC_(4)reinforcing phases.At a laser power of 310 W,the sample exhibited minimal porosity with a microhardness value reaching 265.38HV,while maintaining relatively low average friction coefficient and wear rate.In addition,compared with other studies,the hardness obtained was superior to that of the AlSi10Mg and other reported SiC_(P)/AlSi10Mg composites with similar volume fractions using the mixed powders.
