激光直接零部件标识(Laser Direct Part Marking)技术是一种在工业环境中证实可行,可实现高度自动化且绿色环保的标识技术,已经成为工业产品追溯中产品标识的首选手段。本文基于控制灵活、激光参数调节范围更大的MOPA(MOPA,主控振荡器...激光直接零部件标识(Laser Direct Part Marking)技术是一种在工业环境中证实可行,可实现高度自动化且绿色环保的标识技术,已经成为工业产品追溯中产品标识的首选手段。本文基于控制灵活、激光参数调节范围更大的MOPA(MOPA,主控振荡器的功率放大器)激光标识设备,按照ISO/IEC TR 29158条码技术标准,开展激光加工参数(如激光峰值功率、激光单脉冲能量、激光功率、填充间隔、扫描速度等)对激光直接标识(Direct Marking,DM)码质量(如条码等级、对比度、打印伸缩等)影响的研究。通过优化激光加工参数,实现了在AL2024材料表面标识高质量DM码的激光标识工艺。展开更多
为研究激光直接物标标识技术(laser direct part marking, DPM)对铝合金2024力学性能的影响,对标识后的铝合金2024进行了标识深度测量、显微硬度检测、静力学拉伸和高周疲劳试验。研究结果表明:不同工艺参数下的标识深度相差很大,深度范...为研究激光直接物标标识技术(laser direct part marking, DPM)对铝合金2024力学性能的影响,对标识后的铝合金2024进行了标识深度测量、显微硬度检测、静力学拉伸和高周疲劳试验。研究结果表明:不同工艺参数下的标识深度相差很大,深度范围5.26~525.7μm;在标识区域会形成重熔区,显微硬度51~62 HV,明显小于材料基体显微硬度值;标识深度会对铝合金2024的抗拉性能和疲劳性能造成影响,在一定标识深度下,标识后的铝合金2024的拉伸性能和疲劳性能满足材料的性能要求。展开更多
Small coastal pelagic fish are one of the fish families most affected by sea fishing. This man-made phenomenon leads to an imbalance in the marine and coastal ecosystem and is one of the main causes of migration north...Small coastal pelagic fish are one of the fish families most affected by sea fishing. This man-made phenomenon leads to an imbalance in the marine and coastal ecosystem and is one of the main causes of migration north and offshore of the ranges. We used the ordinary differential equations to model the interactions existing between small pelagic resources and fishermen. Modelling follows the same of the Lotka-Volterra equations with a difference in the number of variables. This study confirmed the instability of the marine ecosystem. The objective is first of all to model a system of three interacting individuals composed of two distinct types of predators and two types of prey, and then optimise this interaction with the aim of conserving biodiversity in the ecosystem under study. Determining the Jacobian matrix made it possible to calculate the reproduction rate basic (<em>R</em><sub>0</sub>). The study of the strong connectedness has made it possible to reduce the number of variables without losing the objective of the study. A computer program implemented on the language computer python facilitated the visualisation of the results.展开更多
This paper introduces a proposal for reservoir volume calculation in rainwater harvesting systems. The proposed method can be used for reservoir volume design in rainwater harvesting systems and is based on three impo...This paper introduces a proposal for reservoir volume calculation in rainwater harvesting systems. The proposed method can be used for reservoir volume design in rainwater harvesting systems and is based on three important variables. These variables are water demand, system efficiency and repayment time. Several simulations were carried out in different scenarios considering typical values of both catchment area （for low-income and medium-income households） and water demand, with fixed water and tank costs. Results showed that the integrated analysis of demand, efficiency and repayment time may assist designers to determine a more adequate reservoir volume.展开更多
Tissue engineering is a discipline based on cell biology and materials science with the primary goal of rebuilding and regenerating lost and damaged tissues and organs.Tissue engineering has developed rapidly in recen...Tissue engineering is a discipline based on cell biology and materials science with the primary goal of rebuilding and regenerating lost and damaged tissues and organs.Tissue engineering has developed rapidly in recent years,while scaffolds,growth factors,and stem cells have been successfully used for the reconstruction of various tissues and organs.However,time-consuming production,high cost,and unpredictable tissue growth still need to be addressed.Machine learning is an emerging interdisciplinary discipline that combines computer science and powerful data sets,with great potential to accelerate scientific discovery and enhance clinical practice.The convergence of machine learning and tissue engineering,while in its infancy,promises transformative progress.This paper will review the latest progress in the application of machine learning to tissue engineering,summarize the latest applications in biomaterials design,scaffold fabrication,tissue regeneration,and organ transplantation,and discuss the challenges and future prospects of interdisciplinary collaboration,with a view to providing scientific references for researchers to make greater progress in tissue engineering and machine learning.展开更多
文摘激光直接零部件标识(Laser Direct Part Marking)技术是一种在工业环境中证实可行,可实现高度自动化且绿色环保的标识技术,已经成为工业产品追溯中产品标识的首选手段。本文基于控制灵活、激光参数调节范围更大的MOPA(MOPA,主控振荡器的功率放大器)激光标识设备,按照ISO/IEC TR 29158条码技术标准,开展激光加工参数(如激光峰值功率、激光单脉冲能量、激光功率、填充间隔、扫描速度等)对激光直接标识(Direct Marking,DM)码质量(如条码等级、对比度、打印伸缩等)影响的研究。通过优化激光加工参数,实现了在AL2024材料表面标识高质量DM码的激光标识工艺。
文摘为研究激光直接物标标识技术(laser direct part marking, DPM)对铝合金2024力学性能的影响,对标识后的铝合金2024进行了标识深度测量、显微硬度检测、静力学拉伸和高周疲劳试验。研究结果表明:不同工艺参数下的标识深度相差很大,深度范围5.26~525.7μm;在标识区域会形成重熔区,显微硬度51~62 HV,明显小于材料基体显微硬度值;标识深度会对铝合金2024的抗拉性能和疲劳性能造成影响,在一定标识深度下,标识后的铝合金2024的拉伸性能和疲劳性能满足材料的性能要求。
文摘Small coastal pelagic fish are one of the fish families most affected by sea fishing. This man-made phenomenon leads to an imbalance in the marine and coastal ecosystem and is one of the main causes of migration north and offshore of the ranges. We used the ordinary differential equations to model the interactions existing between small pelagic resources and fishermen. Modelling follows the same of the Lotka-Volterra equations with a difference in the number of variables. This study confirmed the instability of the marine ecosystem. The objective is first of all to model a system of three interacting individuals composed of two distinct types of predators and two types of prey, and then optimise this interaction with the aim of conserving biodiversity in the ecosystem under study. Determining the Jacobian matrix made it possible to calculate the reproduction rate basic (<em>R</em><sub>0</sub>). The study of the strong connectedness has made it possible to reduce the number of variables without losing the objective of the study. A computer program implemented on the language computer python facilitated the visualisation of the results.
文摘This paper introduces a proposal for reservoir volume calculation in rainwater harvesting systems. The proposed method can be used for reservoir volume design in rainwater harvesting systems and is based on three important variables. These variables are water demand, system efficiency and repayment time. Several simulations were carried out in different scenarios considering typical values of both catchment area （for low-income and medium-income households） and water demand, with fixed water and tank costs. Results showed that the integrated analysis of demand, efficiency and repayment time may assist designers to determine a more adequate reservoir volume.
基金supported by the Macao Science and Technology Development Fund(0071/2024/RIA1)University of Macao Multi-Year Research Grant(MYRG-GRG2023-00077-ICMS-UMDF).
文摘Tissue engineering is a discipline based on cell biology and materials science with the primary goal of rebuilding and regenerating lost and damaged tissues and organs.Tissue engineering has developed rapidly in recent years,while scaffolds,growth factors,and stem cells have been successfully used for the reconstruction of various tissues and organs.However,time-consuming production,high cost,and unpredictable tissue growth still need to be addressed.Machine learning is an emerging interdisciplinary discipline that combines computer science and powerful data sets,with great potential to accelerate scientific discovery and enhance clinical practice.The convergence of machine learning and tissue engineering,while in its infancy,promises transformative progress.This paper will review the latest progress in the application of machine learning to tissue engineering,summarize the latest applications in biomaterials design,scaffold fabrication,tissue regeneration,and organ transplantation,and discuss the challenges and future prospects of interdisciplinary collaboration,with a view to providing scientific references for researchers to make greater progress in tissue engineering and machine learning.
