Journal of Intelligent Manufacturing

2009 - 2026

Current editor(s): Andrew Kusiak

From Springer
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Volume 37, issue 3, 2026

Infill pattern strategy impact on the cross-sectional area at gauge length of material extrusion 3D printed polylactic acid parts pp. 977-998

J. M. Cañero-Nieto, R. J. Campo-Campo, I. Díaz-Bolaño, E. A. Ariza-Echeverri, C. E. Deluque-Toro and J. F. Solano-Martos

Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing pp. 999-1022

Even Falkenberg Langås, Muhammad Hamza Zafar and Filippo Sanfilippo

An augmented reality-based wearable system for handheld-free and intuitive robot programming pp. 1023-1032

Junsoo Kim, Sangyeop Lee and Joonbum Bae

Advanced predictive quality assessment for ultrasonic additive manufacturing with deep learning model pp. 1033-1047

Lokendra Poudel, Sushant Jha, Ryan Meeker, Duy-Nhat Phan and Rahul Bhowmik

Digital twin designs with generative AI: crafting a comprehensive framework for manufacturing systems pp. 1049-1072

Omar Mata, Pedro Ponce, Citlaly Perez, Miguel Ramirez, Brian Anthony, Bradley Russel, Pushkar Apte, Brian MacCleery and Arturo Molina

Correction: Digital twin designs with generative AI: crafting a comprehensive framework for manufacturing systems pp. 1073-1074

Omar Mata, Pedro Ponce, Citlaly Perez, Miguel Ramirez, Brian Anthony, Bradley Russel, Pushkar Apte, Brian MacCleery and Arturo Molina

Optimizing chamber systems for deposition processes in the semiconductor industry with deep learning framework: tackling small simulation datasets pp. 1075-1091

Donggeun Park, Hanbin Cho, Changseob Kwon, Youngyeon Ji and Seunghwa Ryu

Reinforcement learning in dynamic job shop scheduling: a comprehensive review of AI-driven approaches in modern manufacturing pp. 1093-1108

Chinyere Ngwu, Ying Liu and Rui Wu

An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment pp. 1109-1123

Ming Xie, Jianxin Liu, Yifan Li and Cai Yi

An intelligent energy management method for the manufacturing systems using the knowledge graph and large language model pp. 1125-1144

Pengcheng Wu, Haobei Tu, Xun Mou and Leihao Gong

A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation pp. 1145-1161

Zichen Zhan, Congcong Han, Lai Zou, Jianmin Dong, Shengbo Yan and Wenxi Wang

Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models pp. 1163-1178

Kang Wang, Lanqing Liu, Cheng Xu, Jing Zou, Haoneng Lin, Naiyu Fang and Jingchao Jiang

A method to benchmark high-dimensional process drift detection pp. 1179-1195

Edgar Wolf and Tobias Windisch

A novel quality inspection method based on free-form surface digital twin model pp. 1197-1212

Tian-Feng Qi, Hai-Rong Fang, Yu-Lin Liu, Yu-Fei Chen, Hao-Qian Wang and Yu-Fan He

Predictive quality analytics for the viscosity of water-based architectural paint manufacturing by using improved supervised machine learning and maximum dissimilarity algorithm pp. 1213-1229

Robinson Barrionuevo, Diego Vallejo-Huanga, Paulina Morillo and Noha A. Mostafa

Development of a dynamic beam stabilization system for a six-axis ultrashort pulsed laser robot pp. 1231-1246

Yongting Yang, Daniel Franz, Cemal Esen and Ralf Hellmann

Explainable neural network for time series-based condition monitoring in sheet metal shearing pp. 1247-1263

Marco Becker, Philipp Niemietz and Thomas Bergs

Structured sampling strategies in Bayesian optimization: evaluation in mathematical and real-world scenarios pp. 1265-1295

Lucas Greif, Niklas Hübschle, Andreas Kimmig, Simon Kreuzwieser, Anatole Martenne and Jivka Ovtcharova

Deep learning-based real-time monitoring of electron beam powder bed fusion (EB-PBF) via electron emission pp. 1297-1325

Temilola Gbadamosi-Adeniyi, Scott Ferguson and Tim Horn

Machine learning approach for laser-drilled Ni-alloy plates fabrication technology pp. 1327-1343

G. S. Safronov, M. V. Ananyev, A. A. Markin, E. M. Koltsova and M. A. Usova

Volume 37, issue 2, 2026

Simulation of semiconductor wafer dicing induced faults on chips and their application as augmentation method for a deep learning based visual inspection system pp. 573-596

Michael Friedrich, Tobias Schlosser and Danny Kowerko

Multi-stage tool wear prediction method based on multi-dimensional digital twin pp. 597-614

Wei Dai, Shujie Liu, Shuai Lv, Jinyan Hu and Xilin Wang

Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing pp. 615-627

Benton Clark, Syed Ibn Mohsin, Hasan A. Poonawala, Fazleena Badurdeen, Raymond Brennan and I. S. Jawahir

DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification pp. 629-645

Miao Wang, Hao Tang, Yu Wang, Yujun Chen and Lifeng Yin

Optimizing electrohydrodynamic direct-writing with multilayer perceptron: accurate and efficient predictions of jet profiles pp. 647-658

Dongwoon Shin and Jiyoung Chang

Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages pp. 659-677

Qais Qasaimeh, Jia Liu, Daniel F. Silva, Awni Qasaimeh, John L. Evans and Sa’d Hamasha

Modeling of thermal errors in electric spindle based on a hybrid approach of thermal deformation theory and data drive pp. 679-695

Yingqiang Zheng, Tao Tao, Xuesong Mei, Wenwen Tian, Shi Hu and Hongyang Du

Development of an adaptive tool condition monitoring system: integration of case-based reasoning with CNN pp. 697-710

Oussama Dahmoune, Ikhlas Meddour, Mohamed Elbah, Mohamed AtmaneYallese and Salim Belhadi

Machine learning in additive manufacturing: enhancing design, manufacturing and performance prediction intelligence pp. 711-736

Teng Wang, Yanfeng Li, Taoyong Li, Bei Liu, Xiaowei Li and Xiangyu Zhang

Six-dimensional digital twin modeling and software platform design for complex industrial systems pp. 737-758

Nan Li, Gang Xie, Xiaohong Zhang, Hui Shi, Xiaoyin Nie, Yufei Wang, Jianan Wang and Jinquan Wang

Handling data drift in deep learning-based quality monitoring: evaluating calibration methods using the example of friction stir welding pp. 759-774

Johannes C. Bauer, Stephan Trattnig, Fabian Vieltorf and Rüdiger Daub

A review of artificial intelligence application for machining surface quality prediction: from key factors to model development pp. 775-798

Jeong Hoon Ko and Chen Yin

Data management in industry: concepts, systematic review and future directions pp. 799-827

Nelson Freitas, Andre Dionisio Rocha and Jose Barata

Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing pp. 829-848

Sebastian Behrendt, Thomas Altenmüller, Marvin Carl May, Andreas Kuhnle and Gisela Lanza

Machine learning-based multi-objective optimization framework for industrial black nickel electroplating pp. 849-865

Junhao Ren, Qiyu Kang, Shuo Feng, Yajuan Sun, Yong Teck Tan and Gaoxi Xiao

Data computation platform (DCP): empowering pharma 4.0 innovation through GxP-compliant and scalable software platform enabling advanced data analytics and real-time process monitoring in regulated environments pp. 867-885

Tobias Ladner, Christopher Weh, Anoop Dhillon, Marion Giffard and Daniele Iacovelli

VIRL: Volume-Informed Representation Learning towards few-shot manufacturability estimation pp. 887-907

Yu-hsuan Chen, Jonathan Cagan and Levent Burak Kara

Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg pp. 909-931

Qixiang Luo, Nancy Huang, Dean L. Bartles, Timothy W. Simpson and Allison M. Beese

Machine learning of the dynamics of strain hardening based on contact transformations pp. 933-954

Joanna Szyndler, Sebastian Härtel and Markus Bambach

A planning and execution framework for robotic assembly with deformable objects using a centralized database based on the Rαβγ categorization pp. 955-975

Ran Shneor, Gali Naveh, Shir Ben-David, Bar Shvarzman, Zachi Mann, Alex Greenberg, Yotam Efrat, Omer Einav and Sigal Berman

Volume 37, issue 1, 2026

A new method for predicting workpiece fatigue life based on segmentation features of titanium alloy surface morphology pp. 1-30

Youdong Zhang, Guijian Xiao, Hui Gao, Bao Zhu and Jing Wu

Online force prediction by neural networks in single point incremental hole flanging operations pp. 31-43

Lemopi Isidore Besong, Johannes Buhl and Markus Bambach

Observational and experimental insights into machine learning-based defect classification in wafers pp. 45-95

Kamal Taha

In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning pp. 97-118

Stephen K. H. Lee, Patrick G. Mongan, Ahmad Farhadi, Eoin P. Hinchy, Noel P. O’Dowd and Conor T. McCarthy

Large scale foundation models for intelligent manufacturing applications: a survey pp. 119-170

Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, Xianwei Lv, Kang Xu, Liang Wu, Ye Jia, Jing Wu, Wensheng Liang, Ruiyan Zhuang, Zhuo Long, Ruijun Ma and Xiaoguang Ma

Motion stage precision prediction for photonic integrated circuit assembly pp. 171-184

Lorenzo Mandelli, Colin Dankwart and Christian Napoli

CSSA-XGBoost: a novel algorithm for inspecting spot welding quality based on dynamic resistance signal pp. 185-199

Rui Wang, Ruichen Mi, Hao Xu, Zhonglin Gao, Weipeng Liu, Tao Liang and Kun Liu

A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models pp. 201-219

Bufan Liu, Ping Chong Chua, Jongsuk Lee, Seung Ki Moon and Manel Lopez

Hybrid sampling assisted BiRRT for enhanced robotic arm path planning in complex industrial scenarios pp. 221-235

Chengwei Hu, Yinhua Liu, Wenzheng Zhao and Yinan Wang

Assessing generalizability in deep reinforcement learning based assembly: a comprehensive review pp. 237-255

Lena Kolb, Marcel Panzer and Norbert Gronau

New classification method of nonstandard parts for CNC selection based on machine learning and geometric analysis pp. 257-280

Peng Shi, Xiaomeng Tong, Yunhong Xu and Maolin Cai

Multi-layer process control in selective laser melting: a reinforcement learning approach pp. 281-298

Stylianos Vagenas, Taha Al-Saadi and George Panoutsos

Deep learning-based rotational alignment technique using image generation and Fourier transform pp. 299-311

Bo Wook Seo, Woo Young Kim, Seok Kim and Young Tae Cho

Real-time detection of blade surface defects based on the improved RT-DETR pp. 313-325

Dongbo Wu, Renkang Wu, Hui Wang, Zhijiang Cheng and Suet To

Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry pp. 327-349

Florent Wadel, Rémy Houssin, Amadou Coulibaly and Ayoub Tighazoui

Automated defects detection in extrusion 3D printing using YOLO models pp. 351-371

Abdul Rahman Sani, Ali Zolfagharian and Abbas Z. Kouzani

Enhancing industrial prognostic accuracy in noisy and missing data context: assessing multimodal learning performance pp. 373-397

Sagar Jose, Khanh T. P. Nguyen and Kamal Medjaher

Sheet metal localization using deep learning and synthetic data pp. 399-415

Hannes Behnen, Guillem Boada-Gardenyes, Robert H. Schmitt, Marc Teschner, Willi Pönitz and Korbinian Weiß

Viral mutation-inspired evolutionary algorithm for permutation flowshop scheduling pp. 417-440

Mircea Ancău

Design and platform realization of comprehensive evaluation method for quality of complex product assembly process pp. 441-464

Pengyong Cao, Guijiang Duan, Jiajun Liu and Mingjun Dang

Machine learning for density prediction and process optimization of 316L stainless steel fabricated by selective laser melting pp. 465-479

Abbas Hodroj, Redouane Bouglia, Yuehua Ding and Mourad Zghal

Mechanism and data hybrid-driven cutting forces prediction model for end milling pp. 481-503

Chang Ni, Jixiang Yang and Han Ding

Research on intelligent design of debugging processes for complex electronic products based on knowledge graphs pp. 505-524

Hao Xue, Wu Zhao, Xinyu Chen, Xin Guo, Miao Yu, Yuhan Liu, Dejin Yan, Yong Xiao and Kai Zhang

Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection pp. 525-547

Seunghwan Song, Kyuchang Chang, Cheolsoon Park and Jun-Geol Baek

A cyber-physical architecture to monitor human-centric reconfigurable manufacturing systems pp. 549-571

Andrea Sbaragli, Poorya Yazdi Ghafoorpoor, Sebastian Thiede and Francesco Pilati