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JOURNAL OF INTELLIGENT MANUFACTURING
数据更新 2026-07-16 · 完整周期 10 篇 · 日期来源可逐条复核
JOURNAL OF INTELLIGENT MANUFACTURING已收录10篇完整论文周期样本,平均审稿168.3 天,中位审稿161 天。2025中科院2区,非OA,2025发文量210。页面含论文收到日期、录用日期、PDF、DOI和出版社网页溯源入口。
Latest Papers
最新发表论文审稿周期
审稿天数=录用日期-收到日期;保留 PDF/DOI/网页源链接
Data-driven tuning for bumpless feedforward in MIMO system with application to wire-bonding machine
作者Yifan Xu; Silu Chen; Zhuang Xu; Chi Zhang; Weizhen Wang; Dunant Halim
作者单位1. Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham Ningbo China, Ningbo, China; 2. Zhejiang Provincial Key Lab of Precision Actuation and Intelligent Robotics, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China; 3. Department of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, China; 4. Advanced Mechanical Engineering, Manufacturing and Mobility Research Centre, University of Nottingham Ningbo China, Ningbo, China
A novel physics-constrained prediction method for bidirectional surface residual stress fields based on the spatial distribution of effective milling power
作者Zehua Wang; Changjiu Xia; Guofu Ding; Lei Jiang; Xin He; Sibao Wang
作者单位1. Institute of Advanced Design and Manufacturing & Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, Chengdu, China; 2. Sichuan Provincial Engineering Research Center of Equipment Intelligent Manufacturing of Locomotive and Rolling Stock, Southwest Jiaotong University, Chengdu, China; 3. State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing, China
A dual-module machine learning framework for joint quality risk assessment and energy-aware process optimization in additive manufacturing
作者Fabrizia Devito; Vincenzo Gattulli; Donato Impedovo; Luca Musti
作者单位1. Department of Computer Science, University of Bari “Aldo Moro”, Bari, Italy; 2. Vantia Srl, Bari, Italy
A physics-guided Bayesian meta-learning method for surface quality prediction under data-scarce industrial conditions
作者Zewen Hu; Yukai Fu; Yiyang Liu
作者单位1. Institute of AI for Industries, Chinese Academy of Sciences, Nanjing, China; 2. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, School of Automation, Southeast University, Nanjing, China
Visualizing the landscape of virtual assembly bibliometric studies via CiteSpace
作者Xuan Wang; Liguo Yao; Taihua Zhang; Yao Lu; Qipeng Chen
作者单位1. School of Mechanical and Electrical Engineering, Guizhou Normal University, Guiyang, China; 2. Guizhou Key Laboratory of NewGen Cyberspace Security, Guizhou Normal University, Guiyang, China; 3. Technical Engineering Center of Manufacturing Service and Knowledge Engineering, Guizhou Normal University, Guiyang, China; 4. School of Mechanical Engineering, Guiyang University, Guiyang, China
A dual-branch transformer-BiLSTM network with error compensation for tool wear prediction
作者Jiajie Shao; Dianjun Fang; Zhiwen Huang; Zhuoyuan Zheng; Weicheng Guo; Jianmin Zhu
作者单位1. School of Mechanical Engineering, Tongji University, Shanghai, China; 2. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China
Detection of random porosity using high-resolution in-situ monitoring and AI-based data mining in metal laser powder bed fusion
作者Nicolò Bonato; Matteo Bugatti; Enrico Savio; Bianca Maria Colosimo; Simone Carmignato
作者单位1. Department of Management and Engineering, University of Padua, Vicenza, Italy; 2. Dipartimento di Meccanica, Politecnico di Milano, Milan, Italy; 3. Department of Industrial Engineering, University of Padua, Padua, Italy
From manufacturing-as-a-service to company-as-a-service: a conceptual integration
作者Ilaria Pietrangeli; Giovanni Mazzuto; Filippo Emanuele Cirapica; Maurizio Bevilacqua
作者单位1. Department of Industrial Engineering and Mathematical Sciences, Università Politecnica Delle Marche, Ancona, Italy