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学者姓名：谢钰
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Abstract ：
Due to its exceptional mechanical and chemical properties at high temperatures, Inconel 718 is extensively utilized in industries such as aerospace, aviation, and marine. Investigating the flow behavior of Inconel 718 under high strain rates and high temperatures is vital for comprehending the dynamic characteristics of the material in manufacturing processes. This paper introduces a physics-based constitutive model that accounts for dislocation motion and its density evolution, capable of simulating the plastic behavior of Inconel 718 during large strain deformations caused by machining processes. Utilizing a microstructure-based flow stress model, the machinability of Inconel 718 in terms of cutting forces and temperatures is quantitatively predicted and compared with results from orthogonal cutting experiments. The model’s predictive precision, with a margin of error between 5 and 8%, ensures reliable consistency and enhances our comprehension of the high-speed machining dynamics of Inconel 718 components. © 2024 by the authors.
Keyword ：
flow stress model flow stress model Inconel 718 Inconel 718 machinability machinability microstructure microstructure
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| GB/T 7714 | Yin, Q. , Chen, H. , Chen, J. et al. Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718 [J]. | Materials , 2024 , 17 (17) . |
| MLA | Yin, Q. et al. "Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718" . | Materials 17 . 17 (2024) . |
| APA | Yin, Q. , Chen, H. , Chen, J. , Xie, Y. , Shen, M. , Huang, Y. . Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718 . | Materials , 2024 , 17 (17) . |
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To enhance the excavator performance considering the digging force and boom lift force under typical working conditions, this paper aims to solve the complex multiobjective optimization of the excavator by proposing a new knowledge-based method. The digging force at multiple key points is utilized to characterize the excavator's performance during the working process. Then, a new optimization model is developed to address the imbalanced optimization quality among subobjectives obtained from the ordinary linear weighted model. The new model incorporates the loss degree relative to the optimal solution of each subobjective, aiming to achieve a more balanced optimization. Knowledge engineering is integrated into the optimization process to improve the optimization quality, utilizing a knowledge base incorporating seven different types of knowledge to store and reuse the information related to optimization. Furthermore, a knowledge-based multiobjective algorithm is proposed to perform the knowledge-guided optimization. Experimental results demonstrate that the proposed knowledge-based method outperforms existing methods, resulting in an average increase of 15.1% in subobjective values.
Keyword ：
excavator excavator knowledge engineering knowledge engineering multiobjective evolutionary algorithm multiobjective evolutionary algorithm multiobjective optimization multiobjective optimization Optimization design Optimization design
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| GB/T 7714 | Lu, Zhe , Lin, Shuwen , Chen, Jianxiong et al. A multi-objective collaborative optimization method for excavator working devices based on knowledge engineering [J]. | ADVANCES IN MECHANICAL ENGINEERING , 2024 , 16 (1) . |
| MLA | Lu, Zhe et al. "A multi-objective collaborative optimization method for excavator working devices based on knowledge engineering" . | ADVANCES IN MECHANICAL ENGINEERING 16 . 1 (2024) . |
| APA | Lu, Zhe , Lin, Shuwen , Chen, Jianxiong , Gu, Tianqi , Xie, Yu , Zhao, Zihao . A multi-objective collaborative optimization method for excavator working devices based on knowledge engineering . | ADVANCES IN MECHANICAL ENGINEERING , 2024 , 16 (1) . |
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Micro-polarizer array (MPA) is the core optical component of the Division of Focal-Plane (DoFP) imaging system, and its design is very important to the system's performance. Traditional design methods rely on theoretical analysis and simulation, which is complicated and requires designers to have profound theoretical foundations. In order to simplify the design process and improve efficiency, this paper proposes a 2 x 2 MPA reverse-design strategy based on particle swarm optimization (PSO). This strategy uses intelligent algorithms to automatically explore the design space in order to discover MPA structures with optimal optical properties. In addition, the all-pass filter is introduced to the MPA superpixel unit in the design, which effectively reduces the crosstalk and frequency aliasing between pixels. In this study, two MPA models were designed: a traditional MPA and an MPA with an all-pass filter. The Degree of Linear Polarization (DOLP) image contrast is used as the evaluation standard and compared with the traditional MPA; the results show that the contrast of the newly designed traditional MPA image is increased by 21%, and the MPA image with the all-pass filter is significantly increased by 82%. Therefore, the reverse-design method proposed in this paper not only simplifies the design process but also can design an MPA with enhanced optical performance, which has obvious advantages over the traditional method.
Keyword ：
DOLP image contrast DOLP image contrast MPA MPA optimizing optical performance optimizing optical performance particle swarm optimization particle swarm optimization reverse design reverse design
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| GB/T 7714 | Shi, Yonggui , Lin, Zhihai , Wang, Tianran et al. Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast [J]. | MICROMACHINES , 2024 , 15 (10) . |
| MLA | Shi, Yonggui et al. "Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast" . | MICROMACHINES 15 . 10 (2024) . |
| APA | Shi, Yonggui , Lin, Zhihai , Wang, Tianran , Huang, Chaokai , Chen, Hui , Chen, Jianxiong et al. Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast . | MICROMACHINES , 2024 , 15 (10) . |
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Silicon carbide (SiC) is extremely hard and brittle, posing challenges for traditional abrasive machining. This study used molecular dynamics simulations to investigate synchronous versus asynchronous force -torque effects on SiC abrasive machining. Multi-grit diamond abrasion of 4H-SiC was modeled by applying controlled sinusoidal forces and torques. Asynchronous force -torque increased material removal rates up to 2X versus synchronous conditions by promoting particle agglomeration and enabling trapped particles to contribute. However, asynchronous operation also produced higher surface roughness and subsurface cracking from greater penetration. The alternating forces generated larger stresses that may have driven more plastic deformation and brittle fracture. The study provided atomic-scale insights into force -torque effects, establishing guidelines to potentially enhance efficiency through asynchronous operation despite drawbacks.
Keyword ：
Abrasive machining Abrasive machining Force -torque synchronization Force -torque synchronization Molecular dynamics Molecular dynamics Silicon carbide Silicon carbide
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| GB/T 7714 | Chen, Hui , Wang, Chengxin , Chen, Jianxiong et al. Changing torque-force synchronization condition for abrasive particle improves material removal during silicon carbide abrasive machining [J]. | TRIBOLOGY INTERNATIONAL , 2024 , 192 . |
| MLA | Chen, Hui et al. "Changing torque-force synchronization condition for abrasive particle improves material removal during silicon carbide abrasive machining" . | TRIBOLOGY INTERNATIONAL 192 (2024) . |
| APA | Chen, Hui , Wang, Chengxin , Chen, Jianxiong , Xie, Yu , Sun, Kailin , Huang, Yuhua et al. Changing torque-force synchronization condition for abrasive particle improves material removal during silicon carbide abrasive machining . | TRIBOLOGY INTERNATIONAL , 2024 , 192 . |
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Abstract ：
Due to its exceptional mechanical and chemical properties at high temperatures, Inconel 718 is extensively utilized in industries such as aerospace, aviation, and marine. Investigating the flow behavior of Inconel 718 under high strain rates and high temperatures is vital for comprehending the dynamic characteristics of the material in manufacturing processes. This paper introduces a physics-based constitutive model that accounts for dislocation motion and its density evolution, capable of simulating the plastic behavior of Inconel 718 during large strain deformations caused by machining processes. Utilizing a microstructure-based flow stress model, the machinability of Inconel 718 in terms of cutting forces and temperatures is quantitatively predicted and compared with results from orthogonal cutting experiments. The model's predictive precision, with a margin of error between 5 and 8%, ensures reliable consistency and enhances our comprehension of the high-speed machining dynamics of Inconel 718 components.
Keyword ：
flow stress model flow stress model Inconel 718 Inconel 718 machinability machinability microstructure microstructure
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| GB/T 7714 | Yin, Qingan , Chen, Hui , Chen, Jianxiong et al. Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718 [J]. | MATERIALS , 2024 , 17 (17) . |
| MLA | Yin, Qingan et al. "Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718" . | MATERIALS 17 . 17 (2024) . |
| APA | Yin, Qingan , Chen, Hui , Chen, Jianxiong , Xie, Yu , Shen, Ming , Huang, Yuhua . Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718 . | MATERIALS , 2024 , 17 (17) . |
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Various sources of error can lead to the position accuracy of the robot being orders of magnitude worse than its repeatability. For the accuracy of drilling in the aviation field, high-precision assembly, and other areas depending on the industrial robot's absolute positioning accuracy, it is essential to improve the accuracy of absolute positioning through calibration. In this paper, an error model of the robot considering both constant and high-order joint-dependent kinematic errors is established, and the model is modified by the Hermite polynomial, thereby mitigating the occurrence of the Runge phenomenon. To identify high-order joint-dependent kinematic errors, a robot calibration method based on the back-propagation neural network (BP) optimized by the sparrow search algorithm (SSA-BP) is proposed, which optimizes the uncertainty of weights and thresholds in the BP algorithm. Experiments on an EFORT ECR5 robot were implemented to validate the efficiency of the proposed method. The positioning error is reduced from 3.1704 mm to 0.2798 mm, and the error decrease rate reaches 42.92% (compared with BP calibration) and 21.09% (compared with particle swarm optimization back-propagation calibration). With the new calibration method using SSA-BP, robot positioning errors can be effectively compensated for, and the robot positioning accuracy can be improved significantly.
Keyword ：
absolute positioning accuracy absolute positioning accuracy high-order joint-dependent error high-order joint-dependent error industrial robot industrial robot manufacturing automation manufacturing automation SSA-BP SSA-BP
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| GB/T 7714 | Zhang, Yujie , Fang, Qi , Xie, Yu et al. Enhancing Robot Calibration Through Reliable High-Order Hermite Polynomials Model and SSA-BP Optimization [J]. | JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING , 2024 , 24 (2) . |
| MLA | Zhang, Yujie et al. "Enhancing Robot Calibration Through Reliable High-Order Hermite Polynomials Model and SSA-BP Optimization" . | JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING 24 . 2 (2024) . |
| APA | Zhang, Yujie , Fang, Qi , Xie, Yu , Zhang, Weijie , Yu, Runxiang . Enhancing Robot Calibration Through Reliable High-Order Hermite Polynomials Model and SSA-BP Optimization . | JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING , 2024 , 24 (2) . |
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This paper presents a mask-less, flexible, efficient, and high-resolution fabrication method for non-periodic microstructures. Sub-wavelength micro-polarizer arrays, (MPAs) which are the most essential part of the focal plane polarimeters, are typical non-periodic structures. The grating ridges of each polarizer were oriented in four different directions offset by 45 degrees, corresponding to different polarization directions. The finite element method was introduced to optimize the structural parameters of the MPA in the far-infrared region. The numerical results demonstrated that the designed MPA had a TM transmittance of more than 55% and an extinction ratio no less than 7 dB. An aluminum MPA that operates in the 8-14 mu m infrared region was prepared by one-step two-photon lithography (TPL) and the metal lift-off process. The femtosecond laser exposed the photoresist with only a single scan, making TPL very efficient. The fabricated single-layer sub-wavelength MPAs with a period of 3 mu m, a duty cycle of 0.35-0.5, and a height of 150 nm, were analyzed by an optical microscope and an atomic force microscope. The successful fabrication of the MPA indicated that one-step TPL could be a viable and efficient method for pattern preparation in the fabrication of non-periodic microstructures. (c) 2023 Optica Publishing Group
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| GB/T 7714 | Xie, Yu , Chen, Jianxiong , Xu, Hang et al. Efficient fabrication method for non-periodic microstructures using one-step two-photon lithography and a metal lift-off process [J]. | APPLIED OPTICS , 2023 , 62 (5) : 1221-1229 . |
| MLA | Xie, Yu et al. "Efficient fabrication method for non-periodic microstructures using one-step two-photon lithography and a metal lift-off process" . | APPLIED OPTICS 62 . 5 (2023) : 1221-1229 . |
| APA | Xie, Yu , Chen, Jianxiong , Xu, Hang , Zhang, Yujie , Chen, Quancheng . Efficient fabrication method for non-periodic microstructures using one-step two-photon lithography and a metal lift-off process . | APPLIED OPTICS , 2023 , 62 (5) , 1221-1229 . |
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Melt electrospinning writing is a new and promising method for fabricating micro/nanofibers, which has shown great prospects in the biomedical fields such as 3D printing of porous scaffolds. The diameter of the melt electrospinning writing fiber can determine the resolution of the microstructure; thus, the controllability of the fiber diameter is of great significance to the whole fabrication process. In this paper, an orthogonal design experiment (six factors, three levels) was used to explore the impacts of six melt electrospinning parameters (melt temperature, collector speed, tip-to-collector distance, melt flow rate, voltage, and needle gauge) on the fiber diameter. In this experiment, the diameter of fibers obtained with the designed experimental parameters and conditions varied from 10.30 & mu;m to 20.02 & mu;m. The range analysis of orthogonal test results showed that the melt flow rate was the most important factor influencing the diameter of melt electrospinning writing fiber, while the voltage was the least influential factor. The variance analysis of orthogonal test results showed that melt temperature, collector velocity, tip-to-collector distance and melt flow rate had a significant influence on the diameter of melt electrospinning writing fiber. On the basis of the first-order regression equation, the fiber diameter of poly-& epsilon;-caprolactone can be accurately controlled, thus improving the engineering applications of poly-& epsilon;-caprolactone.
Keyword ：
3D printing 3D printing melt electrospinning writing melt electrospinning writing orthogonal design orthogonal design polymer polymer
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| GB/T 7714 | Xie, Yu , Fang, Qi , Zhao, Han et al. Effects of Six Processing Parameters on the Size of PCL Fibers Prepared by Melt Electrospinning Writing [J]. | MICROMACHINES , 2023 , 14 (7) . |
| MLA | Xie, Yu et al. "Effects of Six Processing Parameters on the Size of PCL Fibers Prepared by Melt Electrospinning Writing" . | MICROMACHINES 14 . 7 (2023) . |
| APA | Xie, Yu , Fang, Qi , Zhao, Han , Li, Yang , Lin, Zhihai , Chen, Jianxiong . Effects of Six Processing Parameters on the Size of PCL Fibers Prepared by Melt Electrospinning Writing . | MICROMACHINES , 2023 , 14 (7) . |
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To address the limitation of existing excavator optimization methods, which primarily focus on the force performance while neglecting energy consumption and fail to realize environmentally friendly and low-carbon designs, this paper proposes a new multi-objective collaborative optimization method for an excavator to reduce energy consumption during the working process while maintaining optimal performance. By formulating a mathematical model that quantifies the energy consumption during the working process, this paper optimizes the working conditions by analyzing the energy consumption characteristics under typical working conditions. To overcome the limitation of existing linear weighting methods in multi-objective optimization, such as imbalanced optimization quality among sub-objectives, this paper proposes a new modeling approach based on the loss degree of sub-objectives. A multi-objective collaborative optimization model for the excavator with reduced energy consumption is established, and a corresponding multi-objective collaborative optimization algorithm is developed and applied to achieve optimal solutions for sub-objectives. The optimization results demonstrate that applying the new multi-objective collaborative optimization method to the excavator achieves better optimization quality than traditional methods. It also provides a more balanced improvement in the optimization values of each sub-objective, resulting in a significant reduction in the energy consumption of the excavator during operation.
Keyword ：
energy consumption modeling energy consumption modeling energy-saving energy-saving excavator excavator excavator working performance excavator working performance multiobjective optimization multiobjective optimization
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| GB/T 7714 | Lu, Zhe , Lin, Shuwen , Chen, Jianxiong et al. A Multi-Objective Collaborative Optimization Method for the Excavator Working Device to Support Energy Consumption Reduction [J]. | ENERGIES , 2023 , 16 (20) . |
| MLA | Lu, Zhe et al. "A Multi-Objective Collaborative Optimization Method for the Excavator Working Device to Support Energy Consumption Reduction" . | ENERGIES 16 . 20 (2023) . |
| APA | Lu, Zhe , Lin, Shuwen , Chen, Jianxiong , Gu, Tianqi , Xie, Yu . A Multi-Objective Collaborative Optimization Method for the Excavator Working Device to Support Energy Consumption Reduction . | ENERGIES , 2023 , 16 (20) . |
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The optical path error, the position-independent geometric error, and the form and position tolerance of the substrate will lead to position deviations of the laser focus resulting in the inconsistency of the large area microstructure and limiting the processing range of the femtosecond laser fabrication platform. To realize continuous defocus compensation along the processing trajectory, an autofocus scheme consisting of an optimized depth from focus (DFF) method based on grid division and the bilinear interpolation algorithm is proposed in this paper. The optimized DFF method includes the Laplace-DWT evaluation function combining the advantages of spatial domain and frequency domain sharpness evaluation function, an adaptive focusing window selection method, and an adaptive step length three-step hill-climbing search method. The optimized DFF method was used to obtain the best focus position of each grid point. Compared with the traditional DFF method, the optimized algorithm has higher focusing precision and avoids the disadvantage of time-consuming focusing. Then, to compensate for interpolating points of the processing trajectory, the bilinear interpolation algorithm was introduced to achieve online focusing during two-photon lithography processing. Finally, the feasibility and effectiveness of the auto-focusing scheme were validated by experiments. Through defocus compensation, the sharpness evaluation value of the focus image on the processing trajectory improved by 90%, which indicated the successful focus of the laser beam on the workpiece surface. Moreover, a high-precision and large-area encoded micro-polarizer array with consistent structure were fabricated successfully. This paper provides a simple way to identify and compensate the defocus errors online with high accuracy and efficiency. The proposed method can improve the machining accuracy and quality of the femtosecond laser direct writing.
Keyword ：
Bilinear interpolation Bilinear interpolation Defocus compensation Defocus compensation Depth from focus Depth from focus Femtosecond laser Femtosecond laser Laplace-DWT sharpness evaluation function Laplace-DWT sharpness evaluation function
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| GB/T 7714 | Xie, Yu , Lin, Zhihai , Yu, Gaowen et al. Defocus compensation scheme for femtosecond laser direct writing of large-area non-periodic micro-structures [J]. | OPTICS AND LASERS IN ENGINEERING , 2023 , 172 . |
| MLA | Xie, Yu et al. "Defocus compensation scheme for femtosecond laser direct writing of large-area non-periodic micro-structures" . | OPTICS AND LASERS IN ENGINEERING 172 (2023) . |
| APA | Xie, Yu , Lin, Zhihai , Yu, Gaowen , Chen, Hui , Chen, Jianxiong . Defocus compensation scheme for femtosecond laser direct writing of large-area non-periodic micro-structures . | OPTICS AND LASERS IN ENGINEERING , 2023 , 172 . |
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