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Simulation and algorithmic optimization of the Cutting Process for the Green Machining of PM Green Compacts

MATERIALS 2024年第16期17卷 3963页

作者： Zhang, Yuchen Yang, Dayong Zeng, Lingxin Zhang, Zhiyang Li, Shuping Guangxi Univ Sci & Technol Sch Mech & Automot Engn Liuzhou 545006 Peoples R China

Powder metallurgy (PM) technology is extensively employed in the manufacturing sector, yet its processing presents numerous challenges. To alleviate these difficulties, green machining of PM green compacts has emerged as an effective approach. The aim of this research is to explore the deformation features of green compacts and assess the impact of various machining parameters on the force of cutting. The cutting variables for compacts of PM green were modeled, and the cutting process was analyzed using Abaqus (2022) software. Subsequently, the orthogonal test ANOVA method was utilized to evaluate the significance of each parameter for the cutting force. optimization of the machining parameters was then achieved through a genetic algorithm for neural network optimization. The investigation revealed that PM green compacts, which are brittle, undergo a plastic deformation stage during cutting and deviate from the traditional model for brittle materials. The findings indicate that cutting thickness exerts the most substantial influence on the cutting force, whereas the speed of cutting, the tool rake angle, and the radius of the rounded edge exert minimal influence. The optimal parameter combination for the cutting of PM green compacts was determined via a genetic algorithm for neural network optimization, yielding a cutting force of 174.998 N at a cutting thickness of 0.15 mm, a cutting speed of 20 m/min, a tool rake angle of 10 degrees, and a radius of the rounded edge of 25 mu m, with a discrepancy of 4.05% from the actual measurement.

关键词： algorithm optimization powder metallurgy finite element green compacts

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Small lunar crater identification and age estimation in Chang'e-5 landing area based on improved Faster R-CNN

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ICARUS 2024年 410卷

作者： Zou, Chen Lai, Jialong Liu, Yanshuang Cui, Feifei Xu, Yi Qiao, Le Jiangxi Univ Sci & Technol Sch Sci Ganzhou 341000 Peoples R China Macau Univ Sci & Technol State Key Lab Lunar & Planetary Sci Macau Peoples R China Shandong Univ Inst Space Sci Sch Space Sci & Phys Shandong Key Lab Opt Astron & Solar Terr Environm Weihai 264209 Shandong Peoples R China

The Chang'e-5 (CE-5) mission marks China's first lunar sample return endeavor, with its landing site (43.06 degrees N, 51.92 degrees W) situated in the Mons Rumker region of the northern Oceanus Procellarum on the Moon. This region hosts some of the youngest mare basalts of the Moon and contains a relatively youthful geologic unit characterized by crater's equilibrium diameters slightly over 100 m. By refining the Faster Region-based Convolutional Neural Network (Faster R-CNN) algorithm and leveraging high-resolution imagery to create training samples, accurate identification of lunar craters can be achieved. In this study, we enhance the algorithm in aspects such as anchor boxes and Region of Interest alignment. Additionally, we have utilized high-resolution images for training, and identify and statistics craters within the CE-5 landing area. Ultimately, our model attains a validation set Recall of 90%, Precision of 69%, and an Average Precision score of 0.83. Notably, in certain scales, such as for the crater larger than 400 m, recognition results reach Precision of 88% and Recall of 89%. The findings of this study are mapped into a crater catalog. Furthermore, we predict crater density and integrate it with geochronological functions to estimate the absolute model age of nine major geologic units within the CE-5 landing area. The results are generally in agreement with those of other studies who have used manual methods for crater counting, and verify the correctness of our automatic crater identification results.

关键词： Small craters detection Deep learning algorithm optimization Lunar crater dating

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Simulation of autopilot system based on target tracking algorithm

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INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT 2023年 1-6页

作者： Zuo, Haichun Nanfang Coll Guangzhou Guangzhou 510970 Peoples R China

In recent years, with the increasing demand for security, intelligent video surveillance system has become more and more widely used in national security, intelligent transportation, social life and other fields Among them, the detection and tracking of moving targets are the key points and difficult parts in the intelligent video surveillance system, which mainly involves in the related knowledge of pattern recognition, image processing and intelligent control and other fields, and is also the basis of subsequent steps such as target analysis and processing. In the detection and tracking of moving targets, the existing algorithms can not adapt to the changes of the external environment. Therefore, it is necessary to study an algorithm, which is robust and not afraid of complex background environment. In this paper, the detection and tracking algorithms of moving objects in complex scenes are studied comprehensively and in detail, and the existing algorithms are improved to solve the tracking problem and make some progress.

关键词： algorithm optimization Image recognition Autopilot Computer vision

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Optimized simulated annealing for efficient generation of highly nonlinear S-boxes

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SOFT COMPUTING 2024年第5期28卷 3905-3920页

作者： Kuznetsov, Alexandr Poluyanenko, Nikolay Frontoni, Emanuele Kandiy, Sergey Pieshkova, Olha Univ Macerata Dept Polit Sci Commun & Int Relat Via Crescimbeni 30-32 I-62100 Macerata Italy Comenius Univ Fac Management Dept Informat Syst Bratislava 25 Slovakia Kharkov Natl Univ Sch Comp Sci Dept Informat & Commun Syst Secur 4 Svobody Sq UA-61022 Kharkiv Ukraine Marche Polytech Univ Dept Informat Engn Via Brecce Bianche 12 I-60131 Ancona Italy

S-boxes, the key nonlinear component in numerous cryptographic systems, play a crucial role in ensuring security. The quest for random highly nonlinear S-boxes, a desirable attribute for better diffusion and confusion properties, is, therefore, a critical endeavor in cryptographic research. However, generating such nonlinear S-boxes often involves significant computational effort, presenting a major challenge for researchers. This paper addresses this gap by proposing an optimized version of the Simulated Annealing (SA) algorithm specifically tailored for efficient generation of highly nonlinear S-boxes. Our work introduces a multithreaded implementation of the SA algorithm, a heuristic search method known for its proficiency in combinatorial optimization. The multithreading feature enhances computational efficiency, making our approach more suitable for large-scale cryptographic applications. We further optimize the algorithm by incorporating additional exit criteria for both internal and external loops, which significantly reduces the computational complexity associated with the nonlinear substitution generation process. Furthermore, we undertake comprehensive experiments to identify the optimal parameters of the SA algorithm, aiming to maximize the probability of generating target S-boxes while minimizing the number of iterations. This optimization step provides a clear pathway to improve the success rate of the generation process. The results of our study demonstrate a significant improvement over previous works, showing a 30-40% enhancement in the generation of nonlinear S-boxes.

关键词： Simulated annealing S-box generation Cryptography Nonlinear substitutions algorithm optimization Multithreading Computational complexity Heuristic algorithms

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Stator Curvature optimization and Analysis of Axial Hydraulic Vane Pumps

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ENERGIES 2022年第17期15卷 6229页

作者： Sun, Yongguo Xue, Dong Liu, Shisheng Wu, Jinghang Bai, Xingyu Harbin Univ Sci & Technol Sch Mech Power Engn Harbin 150008 Peoples R China

Aiming at the problem of large vibration of a high-subside stator inner cavity curve vane pump, the force analysis of the vane at the transition curve is carried out, and the functional relationship between the vane turning angle theta, the large arc radius R, the small arc radius r and the sliding friction is established. The particle swarm algorithm is used to optimize the solution of the objective function, and the optimized parameter values are brought into the MATLAB simulation program to obtain the optimized stator curve profile diagram. The dynamic performance of the vane pump before and after optimization is simulated using ADAMS. The results show that: the acceleration of the vane pump slide is significantly reduced;the friction between the slide and the slide groove is significantly reduced;the contact force between the slide and the stator is significantly reduced;the impact vibration of the optimized vane pump is significantly reduced;and the dynamic performance of the vane pump is improved.

关键词： stator blade force analysis algorithm optimization dynamic performance

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Fault Diagnosis of Rod Pumping Wells Based on Support Vector Machine Optimized by Improved Chicken Swarm optimization

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IEEE ACCESS 2019年 7卷 171598-171608页

作者： Liu, Jinze Feng, Jian Gao, Xianwen Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China

Nowadays, rod pump is widely used in oilfield. Since most oil production equipment like pumping pumps are distributed in the wild, they are usually checked by manual inspection. In the event of a faults, relying solely on labor to observe the indicator diagrams and determine the fault will waste a lot of human and financial resources. If it is not discovered in time, it will cause serious damage to oil exploitation, even shutdown. Indicator diagrams can reflect the working state of the rod pumping well, which can effectively reflect various faults of the pumping well. This paper diagnoses the faults of pumping wells by classifying and identifying the indicator diagrams. Because support vector machine (SVM) has good effect on classification and recognition of small sample data and nonlinear data, this paper uses SVM for classification, and uses the chicken swarm optimization (CSO) to optimize support for the problem that the SVM parameters are difficult to determine. Aiming at the problems of traditional CSO in solving high-dimensional optimization problems, such as premature and rough precision, an improved CSO is proposed. The traditional CSO, particle swarm optimization (PSO) and bat algorithm (BA) are used to compare it. The simulation proves that the improved CSO has good optimization effect and is superior to the other three optimization algorithms.

关键词： Fault diagnosis pumping well indicator diagrams support vector machine (SVM) chicken swarm optimization (CSO) algorithm optimization

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algorithm-based coevolution network identification reveals key functional residues of the α/β hydrolase subfamilies

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FASEB JOURNAL 2020年第2期34卷 1983-1995页

作者： Wu, Zhiyun Liu, Hao Xu, Lishi Chen, Hai-Feng Feng, Yan Shanghai Jiao Tong Univ Natl Expt Teaching Ctr Life Sci & Biotechnol Joint Int Res Lab Metab & Dev Sci State Key Lab Microbial MetabSch Life Sci & Biot Shanghai 200240 Peoples R China Shanghai Ctr Bioinformat Technol Shanghai Peoples R China

Covariant residues identified by computational algorithms have provided new insights into enzyme evolutionary routes. However, the reliability and accuracy of routine statistical coupling analysis (SCA) are unable to satisfy the needs of protein engineering because SCA depends only on sequence information. Here, we set up a new SCA algorithm, ***, by integrating structure information and MD simulation data. The more reliable covariant residues with high-quality scores are obtained from sequence alignment weighted by residual movement for eight related subfamilies, belonging to alpha/beta hydrolase family, with Candida antarctica lipase B (CALB). The 38 predicted covariant residues are tested for function by high-throughput quantitative evaluation in combination with activity and thermostability assays of a mutant library and deep sequencing. Based on the landscapes of both activity and thermostability, most mutants play key roles in catalysis, and some mutants gain 2.4- to 6-fold increase in half-life at 50 degrees C and 9- to 12-fold improvement in catalytic efficiency. The activity of double mutants for A225F/T103A is higher than those of A225F and T103A which means that *** method might be useful for identifying the allosteric coupling. The *** algorithm can be used for protein coevolution and enzyme engineering research.

关键词： algorithm optimization enzyme mutant library protein engineering statistical coupling analysis

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Identification and analysis of ghost reflection in the interferometers based on ZEMAX by optimization algorithms

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OPTICAL ENGINEERING 2023年第3期62卷 034103-034103页

作者： Zhang, Enming Ye, Weinan Xia, Yizhou Wang, Leijie Zhang, Ming Tsinghua Univ State Key Lab Tribol Adv Equipment Beijing Peoples R China Tsinghua Univ Beijing Lab Precis Ultraprecis Manufacture Equipm Beijing Peoples R China

Laser interferometers and grating interferometers based on optical interferometry are widely used in displacement measurement of precision machining and testing equipment, such as the measurement system of integrated circuit equipment, due to their high precision, noncontact, and large dynamic measurement range. The ghost reflection in optical elements may lead to the periodic nonlinear error of the interferometer and also reduce alternating current/direct current. We propose a general method for automatic ghost reflection interface identification. It can analyze the influence weight of ghost reflection for each interface of any interferometer. In addition, the manufacturing cost of the interferometer is effectively reduced by optimization algorithms that enable ghost reflection avoidance in the interferometer design. Experimental results prove the influence weight of ghost reflection at different positions in the interferometer and provide the parameter selection of the most suitable interface reflection of the interferometer. (c) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

关键词： interferometer ghost reflection algorithm optimization measurement error ZEMAX

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optimization of tunnel grouting detection technology based on ultrasonic phased array

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MEASUREMENT SCIENCE AND TECHNOLOGY 2024年第8期35卷 086126-086126页

作者： Wang, You Li, Guowei Zhou, Lu Wang, Rui Cent South Univ Sch Civil Engn Changsha 410004 Peoples R China Guangzhou Metro Design & Res Inst Guangzhou 510010 Peoples R China

Due to the lack of a perfect and convenient method to detect the grouting quality of shield tunnels, an optimized ultrasonic phased array tunnel grouting detection technology is proposed. The particle swarm genetic algorithm is optimized to be used for phased array sparse, and the GA-VMD-SG algorithm is proposed to be used for noise reduction of ultrasonic detection signals, and numerical simulation and experimental methods are used to validate the optimized detection effect of the ultrasonic phased array. The results show that: the GA-PSO algorithm can better simplify the array and reduce the maximum sidelobe value;the GA-VMD-SG algorithm can well reduce the noise of ultrasonic signals;numerical simulation and experiments verify the feasibility of the ultrasonic phased array to detect the quality of grouting and the optimization effect of the two algorithms.

关键词： tunnel grouting ultrasonic phased array algorithm optimization sparse array signal noise reduction

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Speed Control and optimization of Variable Speed Diesel Generator Set

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TEHNICKI VJESNIK-TECHNICAL GAZETTE 2024年第1期31卷 16-23页

作者： Gang, Li Yujuan, Zheng Sichuan Geely Univ Chengdu 641400 Peoples R China

The fuel consumption rate of a diesel engine is closely related to its operating speed. In order to minimize the fuel consumption rate of the diesel engine, this paper studies the optimal operating speed of the diesel generator set, and designs the optimal operating speed curve of the diesel generator based on the actual situation. Aiming at the phenomenon that the load changes at any time in the actual working condition of the diesel generator set, this paper designs a fuzzy adaptive PID control algorithm for the diesel engine governor and realizes algorithm optimization. Using MATLAB platform simulation analysis, it is verified that the fuzzy adaptive PID controller after algorithm optimization has better dynamic response and stability performance in diesel generator system.

关键词： algorithm optimization fuzzy adaptive PID MATLAB optimal operating speed curve

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