Academic literature on the topic 'Algorithm aluminum'

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Journal articles on the topic "Algorithm aluminum"

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Mohamed, Ali, and Adel Khalleefah Hamad Darmeesh. "Aluminum and Aluminum Alloys Systematic mapping on different Aluminum and Aluminum Alloys practices and benefits and outcome performance by Weka application." International Journal of Technology and Education Research 1, no. 03 (2023): 152–76. https://doi.org/10.63922/ijeter.v1i03.479.

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Abstract Aluminum is one of the most adaptable, cost-effective, and visually appealing metallic materials available for a variety of applications, from soft, highly ductile wrapping foil to the most rigorous engineering ones. Furthermore, this is due to the special combinations of properties that aluminum as well as its alloys offer. Moreover, the only other metal used as a structural material after steel is aluminum alloys. Just 2.7 g/cm3 is what aluminum is made of about a third as much as steel (7.83 g/cm3). Aluminum weighs just around 170 lb per cubic foot, compared to approximately 490 lb
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Dai, Jiayang, Hangbin Liu, Yichu Zhang, Haofan Shi, and Peirun Ling. "An Optimization Design of Energy Consumption for Aluminum Smelting Based on a Multi-Objective Artificial Vulture Algorithm." Metals 15, no. 2 (2025): 105. https://doi.org/10.3390/met15020105.

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In the process of regenerative aluminum smelting, the temperature of the furnace needs to be maintained between 700 and 850 by adjusting the setting parameters of the smelting furnace. The setting parameters are usually adjusted by manual work, and inaccuracies in manual operation can lead to wasted energy as well as unstable temperatures. Energy consumption and temperature stability are two conflicting objectives, which are difficult to find optimal parameters for the aluminum smelting process. In this paper, an improved multi-objective artificial vulture algorithm (IMOAVOA) is developed to s
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Cherkunov, V. I. "Optimization of Unevenness of Aluminum and Aluminum Oxide Coatings Obtained by Magnetron Sputtering under Mutual Movement of Substrate and Magnetron." LETI Transactions on Electrical Engineering & Computer Science 18, no. 1 (2025): 14–21. https://doi.org/10.32603/2071-8985-2025-18-1-14-21.

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The application of optical coatings to products of relatively large dimensions is an urgent task in the production of optical devices. This paper considers a method for obtaining a coating of aluminum and aluminum oxides on optical parts with a diameter of up to 300 mm. To that end, a system with a mutual displacement of the plate and the magnetron with a target diameter of 100 mm was used. Such systems require certain motion algorithms. The algorithms should enable a high evenness of the coating on the products. The work was focused on simulation and selection of a magnetron displacement algo
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Fan, Chao Hua, Yu Ting He, Heng Xi Zhang, Hong Peng Li, and Feng Li. "Predictive Model Based on Genetic Algorithm-Neural Network for Fatigue Performances of Pre-Corroded Aluminum Alloys." Key Engineering Materials 353-358 (September 2007): 1029–32. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.1029.

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In the paper, genetic algorithm is introduced in the study of network authority values of BP neural network, and a GA-NN algorithm is established. Based on this genetic algorithm-neural network method, a predictive model for fatigue performances of the pre-corroded aluminum alloys under a varied corrosion environmental spectrum was developed by means of training from the testing dada, and the fatigue performances of pre-corroded aluminum alloys can be predicted. The results indicate that genetic algorithm-neural network algorithm can be employed to predict the underlying fatigue performances o
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Wang, Teng, Jianhuan Su, Chuan Xu, and Yinguang Zhang. "An Intelligent Method for Detecting Surface Defects in Aluminium Profiles Based on the Improved YOLOv5 Algorithm." Electronics 11, no. 15 (2022): 2304. http://dx.doi.org/10.3390/electronics11152304.

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In response to problems such as low recognition rate, random distribution of defects and large-scale differences in the detection of surface defects of aluminum profiles by other state-of-the-art algorithms, this paper proposes an improved MS-YOLOv5 model based on the YOLOv5 algorithm. First, a PE-Neck structure is proposed to replace the neck part of the original algorithm in order to enhance the model’s ability to extract and locate defects at different scales. Secondly, a multi-streamnet is proposed as the first detection head of the algorithm to increase the model’s ability to identify dis
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Nargundkar, Aniket, Satish Kumar, and Arunkumar Bongale. "Multi-Objective Optimization of Friction Stir Processing Tool with Composite Material Parameters." Lubricants 12, no. 12 (2024): 428. https://doi.org/10.3390/lubricants12120428.

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Compared to base aluminum alloys, the surface composites of aluminum alloys are more widely used in the automotive, aerospace, and other industries. The ability to yield enhanced physical properties and a smoother microstructure has made friction stir processing (FSP) the method of choice for developing aluminum-based surface composites in recent times. In this work, the Goal Programming (GP) approach is adopted for the Multi-Objective Optimization of FSP processes with three Artificial Intelligence (AI)-based metaheuristics, viz., Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO)
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Liu, Congbiao. "Research on Key Technologies for Optimization of Forming Parameters of Aluminum Alloy Hood Outer Panel." International Journal of Mechanical and Electrical Engineering 2, no. 2 (2024): 125–30. http://dx.doi.org/10.62051/ijmee.v2n2.14.

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At present, computer technology and finite element software analysis technology have been widely used in the stamping and forming process of aluminum alloy hood outer plate to predict the possible quality defects in the stamping process, and effectively improve the quality and production efficiency of parts. The stamping and forming of the outer plate of the automobile aluminum alloy hood is a highly nonlinear process, and its forming quality involves many forming factors, if the variable design is not reasonable, it may lead to quality defects such as wrinkles or cracks of the molded parts. D
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Han, Guo Ju. "Aluminum-Clad Invar Super Heat-Resistant Aluminium Alloy Stranded Wire Sag Calculation." Applied Mechanics and Materials 441 (December 2013): 58–61. http://dx.doi.org/10.4028/www.scientific.net/amm.441.58.

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Comparison with conventional ACSR aluminum clad ultra-resistant aluminum alloy invar wire with low sag, load flow characteristics, linear expansion coefficient of the wire there is migration point, the migration point temperature coefficient of linear expansion around the wire is different, therefore can not be directly calculated using the equation of state migration point directly after the aluminum clad super-resistant aluminum alloy invar wire sag. This combined with engineering examples, the wire sag derived formulas, combined with the current reality of the design units, presents a pract
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Li, Jie Jia, Jie Li, Rui Qu, and Ying Li. "Application Research on Fault Diagnosis Based on Improved Wavelet Neural Network." Advanced Materials Research 499 (April 2012): 268–72. http://dx.doi.org/10.4028/www.scientific.net/amr.499.268.

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Aluminum electrolysis is a nonlinear, multi-couplings, time-variable and large time-delay industrial process system. The paper puts forward the fault diagnoisis method of improved wavelet Elman neural network, which firstly simplifies the input of network with the method of principal component analysis, secondly, the weights, as well as scale factor and shift factor of the wavelet function are optimized by use of the wavelet Elman network which is optimized by improved particle swarm algorithm. Then it is verified by the simulation. The simulation results show that the method can precisely for
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Zhang, Wen, Shibao Sun, and Huanjing Yang. "Research on aluminum defect classification algorithm based on deep learning with attention mechanism." Frontiers in Computing and Intelligent Systems 2, no. 1 (2022): 101–5. http://dx.doi.org/10.54097/fcis.v2i1.3173.

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Product quality is an important indicator for determining the quality of industrial products. Defects on the surface of aluminum profiles are inevitably caused in the actual production process due to the influence of various factors such as environment and equipment, and these defects seriously affect the quality of aluminum profiles. The focus and difficulty of research have shifted to how to quickly and accurately identify and classify surface defects in aluminum profiles. To address this issue, this paper proposes an aluminum defect classification algorithm that uses an attention mechanism
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Dissertations / Theses on the topic "Algorithm aluminum"

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Posinasetti, Praveen. "Process modelling and control of pulse gas metal arc welding of aluminum." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16530/1/Praveen_Posinasetti_Thesis.pdf.

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Recent developments in materials and material joining [specifically Aluminum and Pulse Gas Metal Arc Welding (GMAW-P) technology] have increased the scope and extent of their areas of application. However, stern market demand for the improved weld quality necessitates the need for automation of the welding processes. As a result, improvements in the process parameter feedback, sensing and control, are necessary to successfully develop the automated control technology for the welding processes. Hence, several aspects of the GMAW-P process have been investigated in this study in order to improve
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Posinasetti, Praveen. "Process modelling and control of pulse gas metal arc welding of aluminum." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16530/.

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Recent developments in materials and material joining [specifically Aluminum and Pulse Gas Metal Arc Welding (GMAW-P) technology] have increased the scope and extent of their areas of application. However, stern market demand for the improved weld quality necessitates the need for automation of the welding processes. As a result, improvements in the process parameter feedback, sensing and control, are necessary to successfully develop the automated control technology for the welding processes. Hence, several aspects of the GMAW-P process have been investigated in this study in order to improve
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Dutt, Aniket Kumar. "Microstructural Evolution and Mechanical Response of Materials by Design and Modeling." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984205/.

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Mechanical properties of structural materials are highly correlated to their microstructure. The relationship between microstructure and mechanical properties can be established experimentally. The growing need for structural materials in industry promotes the study of microstructural evolution of materials by design using computational approaches. This thesis presents the microstructural evolution of two different structural materials. The first uses a genetic algorithm approach to study the microstructural evolution of a high-temperature nickel-based oxide-dispersion-strengthened (ODS) alloy
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Дем'яненко, А. О. "Комп'ютерна реалізація жадібних алгоритмів стиснення даних при кодуванні інформації". Master's thesis, Сумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/72307.

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Розроблено інформаційне та програмне забезпечення рішення задачі стиснення інформації при кодуванні за алгоритмом Хаффмана. Розроблений алгоритм реалізовано у формі програмного забезпечення, створеного за допомогою алгоритмічної мови С++.
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Cousseau, Romain. "Contribution à la modélisation et à l’étude du vieillissement des condensateurs électrolytiques aluminium dédiés à des applications à hautes températures." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2227/document.

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Ce mémoire est consacré à la modélisation des condensateurs électrolytiques aluminium dédiés à des applications à hautes températures ainsi qu’à la compréhension de leur vieillissement lors d’utilisations réalistes. En effet, dans le cas d’onduleur de traction de véhicule électrique, les sollicitations, notamment en température, peuvent être parfois très variables. Or, il se trouve que pour ce type d’applications, ces derniers sont la plupart du temps de type électrolytiques aluminium, technologie étant parmi les plus fragiles. Par conséquent, ce manuscrit propose tout d’abord une nouvelle mod
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Janati, Idrissi Mohamed Abdou Saucier Gabrièle. "Implantation automatisée des circuits intégrés sur réseaux prédiffusés CMOS." S.l. : Université Grenoble 1, 2008. http://tel.archives-ouvertes.fr/tel-00315968.

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Pépin, Jean-François. "Développement d'une méthodologie de conversion de pièces structurelles de l'acier vers l'aluminium." Mémoire, Université de Sherbrooke, 2009. http://savoirs.usherbrooke.ca/handle/11143/1464.

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Au cours des dernières décennies, l'utilisation de l'aluminium n'a cessé d'augmenter dans différents secteurs industriels. Par ailleurs, dans le domaine de la Conception Assistée par Ordinateur (C.A.O.), les opportunités de développement d'outils de design de l'aluminium sont encore nombreuses. Le présent mémoire propose une méthodologie générale permettant la conversion de pièces structurelles de l'acier vers l'aluminium. Une démarche définie par cinq étapes principales est élaborée à l'aide de différents algorithmes : (1) Analyse mécanique d'une pièce structurelle en acier ; (2) Définition d
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Musolino, Bruno de Castro. "Algoritmo de determinação do coeficiente de amortecimento em materiais refratários de alta alumina." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-18102011-153929/.

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O amortecimento, fenômeno pelo qual energia mecânica em um sistema dinâmico é dissipada, é uma das propriedades mais sensíveis dos materiais quanto a presença de trincas e microtrincas. O estudo do amortecimento já é bem estabelecido em áreas como engenharia civil, em que é de importância na resistência mecânica de um sistema sujeito a abalos sísmicos e vibrações, porém vem sendo cada vez mais estudado na indústria de materiais para analisar e quantificar o dano em concretos refratários que sofrem ciclos de choque térmico. Este trabalho apresenta uma metodologia e algoritmo para a determinação
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Akhmetov, Vladimir [Verfasser], Konstantin [Akademischer Betreuer] Amsharov, and Norbert [Gutachter] Jux. "Synthesis of Buckybowls via Algorithm of C-F Bond Activations Executed on Alumina / Vladimir Akhmetov ; Gutachter: Norbert Jux ; Betreuer: Konstantin Amsharov." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2019. http://d-nb.info/1202608426/34.

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Ledezma, Lopez Gabriel Alejandro. "Suitable representations of gamma alumina porous structures by computational modeling." Thesis, Lyon, 2021. https://tel.archives-ouvertes.fr/tel-03789640.

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Les matériaux poreux sont largement utilisés en génie chimique. À l'échelle mésoporeuse, les effets de confinement influencent la thermodynamique et les conditions de transport. En effet, l'architecture du matériau poreux peut augmenter les limitations de transfert de masse à l'intérieur du catalyseur. Par conséquent, comprendre non seulement les propriétés texturales mais aussi la topologie du solide est important pour améliorer les performances du catalyseur et la précision des différents modèles permettant de concevoir et d'évaluer les performances des réacteurs hétérogènes. L'alumine gamma
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Books on the topic "Algorithm aluminum"

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Imamura, Kosuke. Discrete combinatorial optimization for molten aluminum pot tapping. 1997.

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Book chapters on the topic "Algorithm aluminum"

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Zak, Jan A., Jose M. Araya-Martinez, and Christian Weißenfels. "A Baseline Model for Nugget Diameter Prediction Based on Process Parameters for Aluminum Resistance Spot Welding." In ARENA2036. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88831-1_10.

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Abstract Resistance spot welding is a widely used joining method in automotive manufacturing, known for its efficiency and reliability. With growing regulatory scrutiny on vehicles’ carbon footprint, the body-in-white faces higher weight requirements. Therefore, aluminum alloys, particularly 5xxx and 6xxx series aluminum, are increasingly favored over steel due to their strength-to-density ratio. Despite this shift, research on the resistance spot welding of aluminum in large-scale production remains limited compared to steel. Furthermore, with the advent of big data and industry 4.0, the deve
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Yang, Liu, Guoxiong Hu, and Li Huang. "Surface Defect Detection Algorithm of Aluminum Sheet Based on Improved Yolov3." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32443-7_9.

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Agarana, Michael C., Esther T. Akinlabi, and Michael O. Ikumapayi. "Dynamic Analysis of Rectangular Aluminum Plate Under Transverse Loading Using Finite Difference Algorithm." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4488-0_20.

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Zeng, Shuiping, Jinhong Li, and Lin Cui. "Cell Status Diagnosis for the Aluminum Production on BP Neural Network with Genetic Algorithm." In Advanced Research on Computer Education, Simulation and Modeling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21783-8_24.

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Wang, Chao, Qing Li, Jiarui Cui, Yuhan Qian, and Yue Liu. "Mining Algorithm of Gray Association Rules in Anode Effect Prediction System of Aluminum Electrolysis." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9373-2_56.

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Md Riyaz, Sk, P. Srinivas, and I. Ramu. "Optimization of EDM Process Parameters on Aluminum Alloy 6082 by Using Multi-objective Genetic Algorithm." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2696-1_49.

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Brociek, Rafał, Damian Słota, Mariusz Król, Grzegorz Matula, and Waldemar Kwaśny. "Application of an Ant Colony Optimization Algorithm in Modeling the Heat Transfer in Porous Aluminum." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99972-2_30.

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Fan, Chao Hua, Yu Ting He, Heng Xi Zhang, Hong Peng Li, and Feng Li. "Predictive Model Based on Genetic Algorithm-Neural Network for Fatigue Performances of Pre-Corroded Aluminum Alloys." In Key Engineering Materials. Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-456-1.1029.

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Pitchipoo, P., A. Muthiah, A. Manikandan, and K. Jeyakumar. "Parameter Optimization of Friction Stir Welding of Aluminum Alloy-AA 5083 Using Novel Ant Lion Algorithm." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3895-5_12.

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Rajesh Kanna, S. K., P. Sethuramalingam, N. Lingaraj, P. Sivasankar, and J. Sriharish. "Experimental Investigation and Optimization of Process Parameters in EDM of Aluminum Metal Matrix Composites Using Selective Breeding Algorithm." In Advances in Design and Thermal Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6428-8_11.

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Conference papers on the topic "Algorithm aluminum"

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Zhang, Zhike, Wenzhong Zhu, and Xin He. "Improved YOLOv8-based surface defect detection algorithm for aluminum profile." In Fifth International Conference on Computer Communication and Network Security (CCNS 2024), edited by Zhiyong Xiong and Zhaolong Ning. SPIE, 2024. http://dx.doi.org/10.1117/12.3038189.

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Ou, Qi, Qiangren Wei, Si Zhong, and Shijing Huang. "Improved Yolov8 Algorithm for Detecting Industrial Defects on Aluminum Sheet." In 2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL). IEEE, 2025. https://doi.org/10.1109/cvidl65390.2025.11085626.

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Zheng, Weigang, Qirui Fan, Shicong Sun, et al. "Image Processing Technology and Algorithm for Microstructure Evolution of Aluminum Alloy Wire." In 2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). IEEE, 2025. https://doi.org/10.1109/edpee65754.2025.00031.

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Dai, Jiayang, Hangbin Liu, Yason Luo, Peirun Ling, and Haofan Shi. "A novel Artificial Vulture Optimization Algorithm and its application on the aluminum smelting furnace temperature prediction system." In 2024 International Conference on Advanced Control Systems and Automation Technologies (ACSAT). IEEE, 2024. https://doi.org/10.1109/acsat63853.2024.10823868.

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xie, jiachuan. "Prediction of corrosion fatigue crack growth rate in 7050 aluminum alloy based on machine learning." In International Conference on Algorithms, High Performance Computing and Artificial Intelligence, edited by Pavel Loskot and Liang Hu. SPIE, 2024. http://dx.doi.org/10.1117/12.3051761.

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Tian, Zhonghua, Dali Chen, Shixin Liu, and Fang Liu. "DexiNed-based Aluminum Alloy Grain Boundary Detection Algorithm." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164634.

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Jia, Xinyu, Jie Yang, Jiacheng Sun, et al. "Improved YOLOv5 Surface Defect Detection Algorithm for Aluminum." In 2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI). IEEE, 2023. http://dx.doi.org/10.1109/prai59366.2023.10332068.

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Wu, Yang, Jie Liu, Yaqin Zhang, Lianshuang Yu, and Jingchun Wu. "Detection Algorithm of Aluminum Surface Defects Using Machine Vision." In the 2019 International Conference. ACM Press, 2019. http://dx.doi.org/10.1145/3317640.3317661.

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Suliman, S. M. A., and G. A. Hassan. "Steady State Optimal Control Approach for Aluminum Turning." In ASME 1991 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/cie1991-0164.

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Abstract A steady state control algorithm has been developed. The algorithm is based on steady state process models established and used to provide algebraic control model. The control model can be applied for on-line computation of new levels of the aluminium turning process control variables required to compensate for the detected errors of process controlled variables. Workability of the developed control algorithm and its performance are evaluated by computer simulation. Although the control methodology is developed for aluminium turning process, it is general and can be applied to any mac
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Wang, Luyang, Gongxue Zhang, Weijun Wang, Zucheng Huang, and Jian Wang. "A lightweight aluminum profile surface defect detection algorithm based on the improved YOLOv8 algorithm." In MLPRAE 2024: The International Conference on Machine Learning, Pattern Recognition and Automation Engineering. ACM, 2024. http://dx.doi.org/10.1145/3696687.3696699.

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Reports on the topic "Algorithm aluminum"

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RESEARCH ON DATA-DRIVEN INTELLIGENT DESIGN METHOD FOR ENERGY DISSIPATOR OF FLEXIBLE PROTECTION SYSTEMS. The Hong Kong Institute of Steel Construction, 2024. https://doi.org/10.18057/ijasc.2024.20.4.6.

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The brake ring, an essential buffer and energy dissipator within flexible protection systems for mitigating dynamic impacts from rockfall collapses, presents notable design challenges due to its significant deformation and strain characteristics. This study introduces a highly efficient and precise neural network model tailored for the design of brake rings, utilizing BP neural networks in conjunction with Particle Swarm Optimization (PSO) algorithms. The paper studies the key geometric parameters, including ring diameter, tube diameter, wall thickness, and aluminum sleeve length, with perform
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