Advances in Manufacturing最新文献_第2页

Combining 3D printing of copper current collectors and electrophoretic deposition of electrode materials for structural lithium-ion batteries 将铜集流器的 3D 打印与结构性锂离子电池电极材料的电泳沉积相结合

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-25 DOI: 10.1007/s40436-024-00514-z

Ana C. Martinez, Alexis Maurel, Bharat Yelamanchi, A. Alec Talin, Sylvie Grugeon, Stéphane Panier, Loic Dupont, Ana Aranzola, Eva Schiaffino, Sreeprasad T. Sreenivasan, Pedro Cortes, Eric MacDonald

{"title":"Combining 3D printing of copper current collectors and electrophoretic deposition of electrode materials for structural lithium-ion batteries","authors":"Ana C. Martinez, Alexis Maurel, Bharat Yelamanchi, A. Alec Talin, Sylvie Grugeon, Stéphane Panier, Loic Dupont, Ana Aranzola, Eva Schiaffino, Sreeprasad T. Sreenivasan, Pedro Cortes, Eric MacDonald","doi":"10.1007/s40436-024-00514-z","DOIUrl":"https://doi.org/10.1007/s40436-024-00514-z","url":null,"abstract":"Serving as a proof of concept, additive manufacturing and electrophoretic deposition are leveraged in this work to enable structural lithium-ion batteries with load-bearing and energy storage dual functionality. The preparation steps of a complex 3D printed copper current collector, involving the formulation of a photocurable resin formulation, as well as the vat photopolymerization process followed by a precursors-based solution soaking step and thermal post-processing are presented. Compression and microhardness testing onto the resulting 3D printed copper current collector are shown to demonstrate adequate mechanical performance. Electrophoretic deposition of graphite as a negative electrode active material and other additives was then performed onto the 3D printed copper collector, with the intention to demonstrate energy storage functionality. Half-cell electrochemical cycling of the 3D multi-material current collector/negative electrode versus lithium metal finally demonstrates that structural battery components can be successfully obtained through this approach.","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141780587","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

Investigation of control method on blade shape accuracy of blisk in vibration finishing 振动光饰中叶片形状精度的控制方法研究

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-24 DOI: 10.1007/s40436-024-00505-0

Chang-Feng Yao, Yun-Qi Sun, Liang Tan, Min-Chao Cui, Ding-Hua Zhang, Jun-Xue Ren

引用次数: 0

An AI-assistant health state evaluation method of sensing devices 传感设备的人工智能辅助健康状态评估方法

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-22 DOI: 10.1007/s40436-024-00517-w

Le-Feng Shi, Guan-Hong Chen, Gan-Wen Chen

引用次数: 0

Improved genetic algorithm based on reinforcement learning for electric vehicle front-end structure optimization design 基于强化学习的改进遗传算法在电动汽车前端结构优化设计中的应用

IF 4.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-15 DOI: 10.1007/s40436-024-00495-z

Feng-Yao Lyu, Zhen-Fei Zhan, Gui-Lin Zhou, Ju Wang, Jie Li, Xin He

引用次数: 0

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-12 DOI: 10.1007/s40436-024-00506-z

Sheng Cai, Zhi-Chao Deng, Jia-Nan Wang, Nan Zhang

{"title":"Dissimilar metals welding processes realized by vaporizing metal foils","authors":"Sheng Cai, Zhi-Chao Deng, Jia-Nan Wang, Nan Zhang","doi":"10.1007/s40436-024-00506-z","DOIUrl":"https://doi.org/10.1007/s40436-024-00506-z","url":null,"abstract":"In high-velocity impact welding (HVIW), vaporizing foil actuator welding (VFAW) can be utilized to join dissimilar metals. In comparison with conventional welding processes, the VFAW process minimizes energy loss, enhances weld strength, and effectively mitigates issues of overheating or material deformation associated with traditional welding methods. In this study, VFAW was utilized to successfully weld three different metal materials (Cu, Al6061-T6, Q235). An accurate smoothed particle hydrodynamics (SPH) model was established based on the experimental results. The impacts of collision angle and velocity of the flyer on the interface morphology of Cu/Al6061-T6 weld were investigated using the SPH method. The experimental results show that with an increase in the collision angle from 0° to 20°, both the wavelength and amplitude of the welding interface significantly increase. The tail vortex phenomenon also becomes more pronounced with the angle of tail rotation caused by particle motion gradually increasing. But when the collision angle exceeds 20°, the wavelength and amplitude of the welding interface tend to stabilize while its influence on tail vortex phenomenon decreases. The tail rotation angle induced by particle motion continues to increase, although at a decreasing rate. When the initial collision angle is kept constant, both the wavelength and amplitude of the welding interface continue to rise with increasing collision velocity up to 900 m/s. The wake vortex phenomenon becomes more pronounced as the number of particles in the jet gradually increases.","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612316","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

Pears classification by identifying internal defects based on X-ray images and neural networks 基于 X 射线图像和神经网络识别内部缺陷，对梨进行分类

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-10 DOI: 10.1007/s40436-024-00512-1

Ning Wang, Sai-Kun Yu, Zheng-Pan Qi, Xiang-Yan Ding, Xiao Wu, Ning Hu

{"title":"Pears classification by identifying internal defects based on X-ray images and neural networks","authors":"Ning Wang, Sai-Kun Yu, Zheng-Pan Qi, Xiang-Yan Ding, Xiao Wu, Ning Hu","doi":"10.1007/s40436-024-00512-1","DOIUrl":"https://doi.org/10.1007/s40436-024-00512-1","url":null,"abstract":"In order to increase the sales and profitability, it is essential to classify the pears according to the external morphology (including shape, color and luster) and internal defects that can be quantitatively detected by various approaches. However, the existing classification methods concentrate mainly on the external quality rather than the internal defects. Therefore, this investigation develops an efficient and accurate classification method that can identify the internal sclerosis and bruises by combining the X-ray non-destructive testing and the convolutional neural network. Initially, the relations between the characteristics of the internal defects, i.e., internal sclerosis and bruises, and the grayscale features of the X-ray images are analyzed to provide the experimental data and demonstrate the theoretical foundations. Then, the X-ray images are processed by resolution reduction, feature enhancement and gradient reconstruction to improve the training efficiency and classification precision. Finally, the 18-layer residual network (ResNet-18) is optimized and trained to identify the internal bruises and sclerosis and classify the pears based on the identification results. It is found that the overall accuracy can reach 96.67% for identifying the bruised and sclerotic pears. The proposed method could also be applied to other fruits for defects identification and quality classification.","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141570928","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

Cutting performance and effectiveness evaluation on organic monolayer embrittlement in ductile metal precision machining 韧性金属精密加工中有机单层脆化的切削性能和效果评估

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-10 DOI: 10.1007/s40436-024-00513-0

Chao-Jun Zhang, Song-Qing Li, Pei-Xuan Zhong, Fei-Fan Zhang, Wen-Jun Deng

{"title":"Cutting performance and effectiveness evaluation on organic monolayer embrittlement in ductile metal precision machining","authors":"Chao-Jun Zhang, Song-Qing Li, Pei-Xuan Zhong, Fei-Fan Zhang, Wen-Jun Deng","doi":"10.1007/s40436-024-00513-0","DOIUrl":"https://doi.org/10.1007/s40436-024-00513-0","url":null,"abstract":"In the traditional machining field, the addition of cutting fluid can appropriately reduce cutting forces, dissipate cutting heat, and facilitate the machining process. However, the use of cutting fluids has environmental implications. Recently, a phenomenon known as organic monolayer embrittlement (OME) has been proposed, which could address this issue. OME can reduce cutting forces, enhance surface quality, and improve machining performance without the need for cutting fluids, particularly noticeable in ductile metals like pure copper. This study conducted micro-cutting experiments on pure copper to investigate the microstructural features, cutting performance, chip flow patterns, and the effectiveness of OME. The results indicate that OME alters chip flow patterns from sinuous flow to segmented quasi-periodic micro-fracture flow, resulting in a 42% and 63% reduction in cutting forces for copper materials with different initial hardness. This phenomenon significantly improves surface quality, diminishes surface defects caused by adhesion, and effectively reduces work hardening layers. The study also demonstrates that OME is a physical phenomenon closely related to the adsorption properties of organic catalytic agents and van der Waals interactions. Materials with higher initial hardness exhibit less pronounced OME due to a sufficiently high grain boundary density, impeding dislocation movement during shear deformation and causing a local stress increase at the free surface of the chip. This leads to a change in chip flow patterns, improving machining performance, analogous to the adsorption effect of organic catalytic agents.","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141570929","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

Structural design and simulation of PDMS/SiC functionally graded substrates for applications in flexible hybrid electronics 应用于柔性混合电子器件的 PDMS/SiC 功能分级基底的结构设计与模拟

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-08 DOI: 10.1007/s40436-024-00510-3

Jian-Jun Yang, Yin-Bao Song, Zheng-Hao Li, Luo-Wei Wang, Shuai Shang, Hong-Ke Li, Hou-Chao Zhang, Rui Wang, Hong-Bo Lan, Xiao-Yang Zhu

{"title":"Structural design and simulation of PDMS/SiC functionally graded substrates for applications in flexible hybrid electronics","authors":"Jian-Jun Yang, Yin-Bao Song, Zheng-Hao Li, Luo-Wei Wang, Shuai Shang, Hong-Ke Li, Hou-Chao Zhang, Rui Wang, Hong-Bo Lan, Xiao-Yang Zhu","doi":"10.1007/s40436-024-00510-3","DOIUrl":"https://doi.org/10.1007/s40436-024-00510-3","url":null,"abstract":"Flexible hybrid electronics possess significant potential for applications in biomedical and wearable devices due to their advantageous properties of good ductility, low mass, and portability. However, they often exhibit a substantial disparity in elastic modulus between the flexible substrate and rigid components. This discrepancy can result in damage to the rigid components themselves and detachment from the substrate when subjected to tensile, bending, or other loads. Consequently, it diminishes the lifespan of flexible hybrid electronics and restricts their broader-scale application. Therefore, this paper proposes a polydimethylsiloxane (PDMS)/SiC functionally graded flexible substrate based on variable stiffness properties. Initially, ABAQUS simulation is employed to analyze how variations in stiffness impact the stress-strain behavior of PDMS/SiC functionally graded flexible substrates. Subsequently, we propose a multi-material 3D printing process for fabricating PDMS/SiC functionally graded flexible substrates and develop an advanced multi-material 3D printing equipment to facilitate this process. Tensile specimens with the functional gradient of PDMS/SiC are successfully fabricated and subjected to mechanical testing. The results from the tensile tests demonstrate a significant enhancement in the tensile rate (from 21.6% to 35%) when utilizing the PDMS/SiC functionally graded flexible substrate compared to those employing only PDMS substrate. Furthermore, the application of PDMS/SiC functional gradient flexible substrate exhibits remarkable bending and tensile properties in stretchable electronics and skin electronics domains. The integrated fabrication approach of the PDMS/SiC functionally graded flexible substrate structure presents a novel high-performance solution along with its corresponding 3D printing methodology for stretchable flexible electronics, skin electronics, and other related fields.","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141570930","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

Separation of fringe patterns in fast deflectometric measurement of transparent optical elements based on neural network-assisted fast iterative filtering method 基于神经网络辅助快速迭代滤波法的透明光学元件快速偏转测量中的条纹分离技术

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-04 DOI: 10.1007/s40436-024-00509-w

Ting Chen, Pei-De Yang, Xiang-Chao Zhang, Wei Lang, Yu-Nuo Chen, Min Xu

{"title":"Separation of fringe patterns in fast deflectometric measurement of transparent optical elements based on neural network-assisted fast iterative filtering method","authors":"Ting Chen, Pei-De Yang, Xiang-Chao Zhang, Wei Lang, Yu-Nuo Chen, Min Xu","doi":"10.1007/s40436-024-00509-w","DOIUrl":"https://doi.org/10.1007/s40436-024-00509-w","url":null,"abstract":"Transparent optical elements play a significant role in optical imaging and sensing, and the form qualities of these elements are critical to the functionalities of opto-electrical equipment. Therefore, rapid measurement of advanced transparent optical devices is urgently needed. Deflectometry, as a commonly used measurement method, has broad applications in form measurement. However, there are some challenges in the reflective deflectometric measurement of transparent elements, such as fringe superposition, low reflectivity, and non-uniform backgrounds, which severely affect the measurement accuracy. To address these issues, a single-frame fringe separation method is proposed for the deflectometric measurement of transparent elements. A fast iterative filtering method is utilized for coarse fringe separation and a convolutional neural network is adopted to solve the information leakage and incomplete fringe separation. The construction of the neural network involves improving and refining the filtering method to achieve precise separation of fringes. The proposed method achieves fringe separation and forms reconstruction of the upper and lower surfaces. Through simulations and experiments, the effectiveness and robustness of the proposed method are demonstrated, and the measurement accuracy can achieve 65 nm root-of-mean-squared-error (RMSE).","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141546757","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

A data-driven approach for predicting the fatigue life and failure mode of self-piercing rivet joints 预测自冲铆接疲劳寿命和失效模式的数据驱动方法

IF 5.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-07-01 DOI: 10.1007/s40436-024-00498-w

Jian Wang, Qiu-Ren Chen, Li Huang, Chen-Di Wei, Chao Tong, Xian-Hui Wang, Qing Liu

{"title":"A data-driven approach for predicting the fatigue life and failure mode of self-piercing rivet joints","authors":"Jian Wang, Qiu-Ren Chen, Li Huang, Chen-Di Wei, Chao Tong, Xian-Hui Wang, Qing Liu","doi":"10.1007/s40436-024-00498-w","DOIUrl":"https://doi.org/10.1007/s40436-024-00498-w","url":null,"abstract":"In lightweight automotive vehicles, the application of self-piercing rivet (SPR) joints is becoming increasingly widespread. Considering the importance of automotive service performance, the fatigue performance of SPR joints has received considerable attention. Therefore, this study proposes a data-driven approach to predict the fatigue life and failure modes of SPR joints. The dataset comprises three specimen types: cross-tensile, cross-peel, and tensile-shear. To ensure data consistency, a finite element analysis was employed to convert the external loads of the different specimens. Feature selection was implemented using various machine-learning algorithms to determine the model input. The Gaussian process regression algorithm was used to predict fatigue life, and its performance was compared with different kernel functions commonly used in the field. The results revealed that the Matern kernel exhibited an exceptional predictive capability for fatigue life. Among the data points, 95.9% fell within the 3-fold error band, and the remaining 4.1% exceeded the 3-fold error band owing to inherent dispersion in the fatigue data. To predict the failure location, various tree and artificial neural network (ANN) models were compared. The findings indicated that the ANN models slightly outperformed the tree models. The ANN model accurately predicts the failure of joints with varying dimensions and materials. However, minor deviations were observed for the joints with the same sheet. Overall, this data-driven approach provided a reliable predictive model for estimating the fatigue life and failure location of SPR joints.","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505967","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