Advances in Manufacturing最新文献_第4页

Hybrid model with temporal convolutional network and transformer encoder for privacy-preserving wind power forecasting 基于时间卷积网络和变压器编码器的风电预测混合模型

IF 3.9 2区工程技术

Advances in Manufacturing Pub Date : 2025-04-21 DOI: 10.1007/s40436-025-00552-1

Zhen Zhang, Fu-Qing Xuan, Xing-Xin Ruan, Long-Zhu Li

{"title":"Hybrid model with temporal convolutional network and transformer encoder for privacy-preserving wind power forecasting","authors":"Zhen Zhang, Fu-Qing Xuan, Xing-Xin Ruan, Long-Zhu Li","doi":"10.1007/s40436-025-00552-1","DOIUrl":"10.1007/s40436-025-00552-1","url":null,"abstract":"<div><p>The data dependence of deep learning models for wind power forecasting presents a significant challenge for newly built wind farms, which may lack sufficient data for effective model training. Overcoming this limitation by amalgamating data from other wind turbines introduces an inherent risk of privacy leakage. To address this issue, we introduced a novel hybrid model for wind power forecasting, specifically designed to address data privacy preservation. This model integrates a temporal convolutional network with a transformer encoder, harnessing the strengths of both components. The temporal convolutional network extracts local temporal patterns, whereas the transformer encoder captures the intricate time dependencies between these patterns. To address the data privacy risks caused by traditional centralized forecasting methods, a federated training strategy is implemented to train a collaborative knowledge-sharing model, ensuring that the original data from the source domains remain confidential and undisclosed. The experimental results validate the effectiveness of the proposed model, showing significant improvements in forecasting performance. When federated with other wind turbines, the average mean absolute error and the root mean square error of six wind turbines are 4.624 6 and 6.245 7, respectively. In contrast to traditional centralized training methods, the proposed federated learning method, which was applied to inland wind turbines, achieved almost no increase in losses.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"14 3","pages":"730 - 746"},"PeriodicalIF":3.9,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148433986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Challenges and applications of sustainable manufacturing technology in carbon reduction 可持续制造技术在碳减排中的挑战与应用

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-04-17 DOI: 10.1007/s40436-025-00555-y

Chang-He Li, Wen-Feng Ding, Ben-Kai Li

引用次数: 0

Data-driven model for predicting machining cycle time in ultra-precision machining 超精密加工周期时间预测的数据驱动模型

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-04-03 DOI: 10.1007/s40436-024-00543-8

Tong Zhu, Carman K. M. Lee, Sandy Suet To

{"title":"Data-driven model for predicting machining cycle time in ultra-precision machining","authors":"Tong Zhu, Carman K. M. Lee, Sandy Suet To","doi":"10.1007/s40436-024-00543-8","DOIUrl":"10.1007/s40436-024-00543-8","url":null,"abstract":"<div><p>This study aims to present a data-driven method to accurately predict the machining cycle time for an ultra-precision machining (UPM) milling machine, considering the four most common interpolation types in the target machine tool: full-stop linear, non-stop linear, circular, and Bezier interpolation. Regarding these interpolation types, four artificial neural network (ANN) models were developed to predict the machining times for each command line in each numerical control (NC) program. Using the proposed data-driven method, the motion type of each command line in the NC program is first identified. The corresponding features are then extracted from the specific command line, which is considered the input of the model, while the estimated machining time is the output. After training and tunning, all four models achieved extremely high prediction accuracies (>95%), which were further validated through cutting experiments. Moreover, the influence of different feedrates on the machining time prediction accuracy in UPM was explored for the first time, demonstrating the excellent robustness of the proposed models at high feedrate compared with the CAM-based method. This strategy is easily applicable to other CNC machine tools, and the compact structure of the ANN model and its low computation consumption enable its deployment in edge devices. With the addition of more datasets, the accuracy and robustness of the proposed model can be further enhanced.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 4","pages":"831 - 846"},"PeriodicalIF":3.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145486620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Magnetic field distribution mechanism and grindability in magnetic traction nano-lubricant grinding of Ti-6Al-4V 磁牵引纳米润滑磨削Ti-6Al-4V的磁场分布机理及可磨性

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-03-27 DOI: 10.1007/s40436-025-00548-x

Xin Cui, Chuan-Zhan Zhang, Yan-Bin Zhang, Ze-Chen Zhang, Xiao-Liang Liang, Ming-Zheng Liu, Min Yang, Teng Gao, Xiao-Ming Wang, Yusuf Suleiman Dambatta, Chang-He Li

{"title":"Magnetic field distribution mechanism and grindability in magnetic traction nano-lubricant grinding of Ti-6Al-4V","authors":"Xin Cui, Chuan-Zhan Zhang, Yan-Bin Zhang, Ze-Chen Zhang, Xiao-Liang Liang, Ming-Zheng Liu, Min Yang, Teng Gao, Xiao-Ming Wang, Yusuf Suleiman Dambatta, Chang-He Li","doi":"10.1007/s40436-025-00548-x","DOIUrl":"10.1007/s40436-025-00548-x","url":null,"abstract":"<div><p>Nano-lubricant minimum quantity lubrication (NMQL) is an eco-friendly precision technology used for grinding challenging aerospace materials. However, its film-forming ability and anti-friction performance in high-speed and high-pressure grinding zones cannot satisfy the processing requirements. To address this limitation, a novel method using magnetic traction nano-lubricant was investigated. By applying an external magnetic field, a gradient magnetic field is formed on the surface of the grinding wheel to absorb the magnetic lubricant and improve the infiltration performance. A permanent magnet was used to magnetize the grinding wheel matrix, thereby directing the magnetic flux lines and guiding the distribution of the magnetic field through the grinding wheel. Hence, the magnetic field distribution was numerically simulated by adjusting the distribution, geometric position, and parameters of the permanent magnet. In type I (wherein there is repulsion between the N-S poles on the left and right), a uniform and strong magnetic field can be generated when <i>L</i>=6–16 mm, <i>β</i>=0°–30°, and <i>H</i> is suitably increased. This set up can achieve a maximum magnetic field intensity of 1.1×10<sup>5</sup> A/m. Furthermore, the impact of the geometrical parameters (<i>L</i>, <i>H</i>, and <i>β</i>) of the magnetic-assisted device on the grindability of Ti-6Al-4V was examined using an orthogonal experiment. The optimum parameters for the permanent magnet arrangement and the geometric position were <i>L</i>=12 mm, <i>H</i>=10 mm, and <i>β</i>=0°, thereby resulting in a smoother workpiece with fewer defects.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"14 :","pages":"144 - 171"},"PeriodicalIF":3.8,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Grinding mechanics of ceramics: from mechanism to modeling 陶瓷磨削力学：从机理到造型

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-03-25 DOI: 10.1007/s40436-025-00553-0

Wen-Hao Xu, Chang-He Li, Pei-Ming Xu, Wei Wang, Yan-Bin Zhang, Min Yang, Xin Cui, Ben-Kai Li, Ming-Zheng Liu, Teng Gao, Yusuf Suleiman Dambatta, Ai-Guo Qin

{"title":"Grinding mechanics of ceramics: from mechanism to modeling","authors":"Wen-Hao Xu, Chang-He Li, Pei-Ming Xu, Wei Wang, Yan-Bin Zhang, Min Yang, Xin Cui, Ben-Kai Li, Ming-Zheng Liu, Teng Gao, Yusuf Suleiman Dambatta, Ai-Guo Qin","doi":"10.1007/s40436-025-00553-0","DOIUrl":"10.1007/s40436-025-00553-0","url":null,"abstract":"<div><p>High-temperature-resistant and chemically stable ceramic materials exhibit great adaptability across numerous industrial applications. Grinding is an essential component of the precision shaping and manufacturing processes for ceramic structural components. However, the low machining efficiency and high machining damage rate caused by hard and brittle material properties have been a challenge in both academia and industry. Grinding force is the most critical parameter reflecting the grinding system, and establishing an accurate prediction model is highly significant in reducing machining damage. However, a knowledge gap remains in the comprehensive review and evaluation of grinding force models for ceramic materials, which is undoubtedly not conducive to further theoretical advances. This review discusses the removal mechanism for polycrystalline ceramic materials. Subsequently, it comprehensively reviews and comparatively evaluates detailed grinding force modeling knowledge. Furthermore, it explores the specificities of the ultrasonic and laser energy-field-assisted grinding of ceramic materials in terms of their physical behavior and mechanical modeling. Finally, the theoretical value of grinding force modeling for predicting the damage to ceramic materials is explored. The current limitations of the grinding process, mechanical modeling of ceramic materials, corresponding potential research directions, and valuable research content are provided. The goal is to derive actionable low-damage grinding guidelines and establish a robust theoretical framework that enhances the quality of grinding processes for ceramics and other hard and brittle solids.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"14 :","pages":"4 - 42"},"PeriodicalIF":3.8,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40436-025-00553-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and realization of multiunit functional primitives based on 4D printing 基于4D打印的多单元功能基元的设计与实现

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-03-25 DOI: 10.1007/s40436-025-00551-2

Si-Yuan Zeng, Yu-Tian Wang, Hao Zheng, Yi-Cong Gao, Li-Ping Wang, Jian-Rong Tan

{"title":"Design and realization of multiunit functional primitives based on 4D printing","authors":"Si-Yuan Zeng, Yu-Tian Wang, Hao Zheng, Yi-Cong Gao, Li-Ping Wang, Jian-Rong Tan","doi":"10.1007/s40436-025-00551-2","DOIUrl":"10.1007/s40436-025-00551-2","url":null,"abstract":"<div><p>By leveraging the synergy between 3D printing and smart memory materials, this approach allows structures to adapt their shapes, performance, and functions in response to external stimuli. This study primarily investigates the precise control of deformation in single-material structures, offering simplicity and rapid manufacturability compared with multi-material approaches. This study establishes a correlation between the manufacturing parameters and deformation curvature in bilayer actuators using fused deposition modeling (FDM)-4D printing. It further explores how the area ratio of different units within the design plane influences the deformation of the folding functional primitives. An optimization process using the NSGA-II algorithm fine-tunes both the area ratio and manufacturing parameters, achieving a Pareto front that optimizes the deformation of these primitives. Experimental validations confirmed the effectiveness of this method, demonstrating control over the primary deformation within the prescribed parameters while ensuring structural deformation quality. This method was applied to complex structures, such as triangular pyramids and hexahedral shapes, illustrating its practicality. This paper concludes by acknowledging the limitations of this method and proposing future enhancements through machine learning and improved FDM structural models. These advancements are aimed at enhancing the reliability of 4D printed structures, paving the way for their application in transformable vehicles and other advanced fields.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"14 2","pages":"343 - 358"},"PeriodicalIF":3.8,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147733088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced cutting force model in micro-milling incorporating material separation criterion 结合材料分离准则的微铣削强化切削力模型

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-03-17 DOI: 10.1007/s40436-025-00546-z

Bo-Wen Song, Da-Wei Zhang, Xiu-Bing Jing, Ying-Ying Ren, Yun Chen, Huai-Zhong Li

{"title":"Enhanced cutting force model in micro-milling incorporating material separation criterion","authors":"Bo-Wen Song, Da-Wei Zhang, Xiu-Bing Jing, Ying-Ying Ren, Yun Chen, Huai-Zhong Li","doi":"10.1007/s40436-025-00546-z","DOIUrl":"10.1007/s40436-025-00546-z","url":null,"abstract":"<div><p>Precisely discerning the material separation criterion in micro-machining remains challenging yet crucial for accurately predicting cutting forces by accounting for shearing and ploughing effects. This study introduces a novel model, the instantaneous uncut chip thickness (IUCT), to enhance the accuracy of cutting force prediction in micro-milling processes. The model quantitatively integrates instantaneous shearing thickness (IST) and instantaneous ploughing thickness (IPT). The critical determinants of shearing and ploughing effects rely on the material separation point, modeled using the dead metal zone concept, which considers chip fracture caused by incomplete material accumulation. The micro-milling process is categorized into four types based on the proportion of IST and IPT within one revolution. Mechanistic cutting-force models are developed for each type and validated through experiments. The experimental results align closely with theoretical predictions, with peak force errors remaining within 10%, affirming the accuracy of the analytical force models.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 4","pages":"813 - 830"},"PeriodicalIF":3.8,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145486548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Mechanism and machinability in novel electroplastic‑assisted grinding ductile iron 修正：新型电塑性辅助磨削球墨铸铁的机理和可加工性

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-03-15 DOI: 10.1007/s40436-025-00554-z

Jia‑Hao Liu, Dong‑Zhou Jia, Chang‑He Li, Yan‑Bin Zhang, Ying Fu, Zhen‑Lin Lv, Shuo Feng

引用次数: 0

Concept development for innovative functionally graded lattice structures to absorb desired energy and impact 概念开发的创新功能梯度晶格结构，以吸收所需的能量和冲击

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-03-14 DOI: 10.1007/s40436-024-00542-9

Mohammad Reza Vaziri Sereshk, Eric J. Faierson

{"title":"Concept development for innovative functionally graded lattice structures to absorb desired energy and impact","authors":"Mohammad Reza Vaziri Sereshk, Eric J. Faierson","doi":"10.1007/s40436-024-00542-9","DOIUrl":"10.1007/s40436-024-00542-9","url":null,"abstract":"<div><p>Densification and plateau behavior of lattices can be manipulated by selectively grading the cells. Metallic lattices are the conventional choice for energy absorption, while the generated impact has not been the subject of interest. However, this is the crucial requirement for protective applications like mine-blast absorber for armor vehicles. Different gradient approaches have been examined in this study to find the method which not only controls the absorbed energy, but also keeps the impact level below the identified threshold. This includes available density gradients as well as an innovative gradient geometry for the structure. The concept of how each gradient approach influences the plateau behavior was discussed. A novel approach has been presented which enables tracking the impact magnitude during densification. Although, series density-gradient is a common approach to improve energy absorption in industry, the result of this study demonstrates that crushing the denser region of lattice may generate significantly larger impact. Instead, arranging density gradient cells parallelly can absorb higher energy, while the increase in impact is not significant. An innovative design is presented for lattice structure with gradient geometry. It starts absorbing energy at very low impact and ends with significantly higher absorbed energy at full compaction. To expand the domain of application and effectiveness, new gradient approach was proposed by combining geometry and density grading. It was demonstrated that this highly efficient and flexible design configuration could reduce the activation impact by 94% with descending arrangement and double the absorbed energy by ascending arrangement. This was achieved while the impact magnitude was kept at a reasonable level. In addition, design parameters can be adjusted for desired level of energy and impact for particular application.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 4","pages":"799 - 812"},"PeriodicalIF":3.8,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145486565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Review of empowering computer-aided engineering with artificial intelligence 用人工智能赋能计算机辅助工程综述

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-03-14 DOI: 10.1007/s40436-025-00545-0

Xu-Wen Zhao, Xiao-Meng Tong, Fang-Wei Ning, Mao-Lin Cai, Fei Han, Hong-Guang Li

{"title":"Review of empowering computer-aided engineering with artificial intelligence","authors":"Xu-Wen Zhao, Xiao-Meng Tong, Fang-Wei Ning, Mao-Lin Cai, Fei Han, Hong-Guang Li","doi":"10.1007/s40436-025-00545-0","DOIUrl":"10.1007/s40436-025-00545-0","url":null,"abstract":"<div><p>Computer-aided engineering (CAE) is widely used in the industry as an approximate numerical analysis method for solving complex engineering and product structural mechanical performance problems. However, with the increasing complexity of structural and performance requirements, the traditional research paradigm based on experimental observations, theoretical modeling, and numerical simulations faces new scientific problems and technical challenges in analysis, design, and manufacturing. Notably, the development of CAE applications in future engineering is constrained to some extent by insufficient experimental observations, lack of theoretical modeling, limited numerical analysis, and difficulties in result validation. By replacing traditional mathematical mechanics models with data-driven models, artificial intelligence (AI) methods directly use high-dimensional, high-throughput data to establish complex relationships between variables and capture laws that are difficult to discover using traditional mechanics research methods, offering significant advantages in the analysis, prediction, and optimization of complex systems. Empowering CAE with AI to find new solutions to the difficulties encountered by traditional research methods has become a developing trend in numerical simulation research. This study reviews the methods and applications of combining AI with CAE and discusses current research deficiencies as well as future research trends.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"14 :","pages":"103 - 143"},"PeriodicalIF":3.8,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40436-025-00545-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147339032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0