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Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-18 Xiaomeng Zhu, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
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Optimization of image acquisition by automated white-light interferometers during the inspection of object surfaces J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-17 Björn Schwarze, Stefan Edelkamp
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Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-16 Zhichao Wang, Xiaoliang Yan, Jacob Bjorni, Mahmoud Dinar, Shreyes Melkote, David Rosen
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Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-16 Chuan Li, Yifan Wu, Manjun Xiong, Shuai Yang, Yun Bai
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Optimization of laser annealing parameters based on bayesian reinforcement learning J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-15 Chung-Yuan Chang, Yen-Wei Feng, Tejender Singh Rawat, Shih-Wei Chen, Albert Shihchun Lin
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Visual coating inspection framework via self-labeling and multi-stage deep learning strategies J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-14 Changheon Han, Jiho Lee, Martin B. G. Jun, Sang Won Lee, Huitaek Yun
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Recent advances in human–robot interaction: robophobia or synergy J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-09 Andrius Dzedzickis, Gediminas Vaičiūnas, Karolina Lapkauskaitė, Darius Viržonis, Vytautas Bučinskas
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Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-04 Joonhyeok Moon, Min-Gwan Kim, Ok Hyun Kang, Heejong Lee, Ki-Yong Oh
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A review of external sensors for human detection in a human robot collaborative environment J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-04 Zainab Saleem, Fredrik Gustafsson, Eoghan Furey, Marion McAfee, Saif Huq
Manufacturing industries are eager to replace traditional robot manipulators with collaborative robots due to their cost-effectiveness, safety, smaller footprint and intuitive user interfaces. With industrial advancement, cobots are required to be more independent and intelligent to do more complex tasks in collaboration with humans. Therefore, to effectively detect the presence of humans/obstacles
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Ontologies for prognostics and health management of production systems: overview and research challenges J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-02
Abstract Prognostics and Health Management (PHM) approaches aim to intervene in the equipment of production systems before faults occur. To properly implement a PHM system, data-centric steps must be taken, including data acquisition and manipulation, detection of machine states, health assessment, prognosis of future failures, and advisory generation. The data generated by different data sources,
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Big GCVAE: decision-making with adaptive transformer model for failure root cause analysis in semiconductor industry J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-02 Kenneth Ezukwoke, Anis Hoayek, Mireille Batton-Hubert, Xavier Boucher, Pascal Gounet, Jérôme Adrian
Pre-trained large language models (LLMs) have gained significant attention in the field of natural language processing (NLP), especially for the task of text summarization, generation, and question answering. The success of LMs can be attributed to the attention mechanism introduced in Transformer models, which have outperformed traditional recurrent neural network models (e.g., LSTM) in modeling sequential
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Input attribute optimization for thermal deformation of machine-tool spindles using artificial intelligence J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-01 Swami Nath Maurya, Win-Jet Luo, Bivas Panigrahi, Prateek Negi, Pei-Tang Wang
The heat generated due to internal and external rotating components, electrical parts, and varying ambient temperatures can cause thermal deformations and significantly impact the precision of machine tools (MTs). Thermal error is crucial in industrial processes, corresponding to approximately 60–70% of MT errors. Accordingly, developing an accurate thermal error prediction model for MTs is essential
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Data-driven indirect punch wear monitoring in sheet-metal stamping processes J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-01 Martin Unterberg, Marco Becker, Philipp Niemietz, Thomas Bergs
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A novel 2.5D machining feature recognition method based on ray blanking algorithm J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-01 Peng Shi, Xiaomeng Tong, Maolin Cai, Shuai Niu
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A framework and method for equipment digital twin dynamic evolution based on IExATCN J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-01 Kunyu Wang, Lin Zhang, Zidi Jia, Hongbo Cheng, Han Lu, Jin Cui
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Anticipatory analysis of AGV trajectory in a 5G network using machine learning J. Intell. Manuf. (IF 8.3) Pub Date : 2024-04-01 Alberto Mozo, Stanislav Vakaruk, J. Enrique Sierra-García, Antonio Pastor
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A novel curved surface profile monitoring approach based on geometrical-spatial joint feature J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-25 Yiping Shao, Jun Chen, Xiaoli Gu, Jiansha Lu, Shichang Du
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Development of a melt pool characteristics detection platform based on multi-information fusion of temperature fields and photodiode signals in plasma arc welding J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-24
Abstract Melt pool characteristics reflect the formation mechanisms and potential issues of flaws. Long-term, high-precision, and real-time detection of melt pool characteristics is one of the major challenges in the industrial application of additive manufacturing technology. This work proposes, for the first time, the melt pool characteristics detection platform based on multi-information fusion
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AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-21 Sean Rooney, Emil Pitz, Kishore Pochiraju
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Sheet resistance prediction of laser induced graphitic carbon with transformer encoder-enabled contrastive learning J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-19 Yupeng Wei, Gerd Grau, Dazhong Wu
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A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-18 Hamed Khosravi, Taofeeq Olajire, Ahmed Shoyeb Raihan, Imtiaz Ahmed
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Multiple operational mode prediction at milling tool-tip based on transfer learning J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-15 Kai Zhou, Feng Feng, Jianjian Wang, Pingfa Feng
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Bayesian inference for multi-label classification for root cause analysis and probe card maintenance decision support and an empirical study J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-14
Abstract Probe cards have been employed as intermediary tools between the wafers and automatic test equipment to prevent defect dies from entering the packaging stage to reduce the consumer risk and extra losses. To enhance the partnership, probe card manufacturer is responsible for troubleshooting of the sold probe cards in short time as part of after-sales maintenance to enhance the productivity
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Virtual metrology for chemical mechanical planarization of semiconductor wafers J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-13
Abstract Chemical mechanical planarization (CMP) is an important operation for surface modification of wafers in semiconductor manufacturing. Productivity and quality of wafers depends strongly on the efficiency of CMP and virtual metrology (VM) is a promising tool not only to facilitate wafer-to-wafer control but also to reduce cycle time. Development of VM tools for CMP is still not a reality due
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The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-13 Jr-Fong Dang
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A novel joint segmentation approach for wafer surface defect classification based on blended network structure J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-13
Abstract Efficient management and control of wafer defects are paramount in enhancing yield in IC chip manufacturing. Scanning Electron Microscope imagery of wafer surfaces, however, presents a challenge due to complex backgrounds and a minimal presence of actual defects. This complexity often hampers traditional convolutional neural networks tasked with defect classification and segmentation, making
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Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-11 Kaushal Arun Pareek, Daniel May, Peter Meszmer, Mohamad Abo Ras, Bernhard Wunderle
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BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-10
Abstract Encountering the problems of diverse sources, opaque information, and difficult collaboration among nodes in a smart factory supply chain, we proposed a traceability model based on blockchain consensus technology. It can realize accurate traceability, transparent transmission, and trusted storage of supply chain information. First, we proposed a blockchain-based smart factory supply chain
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A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-09 Steven O. Otieno, Job M. Wambua, Fredrick M. Mwema, Edwell T. Mharakurwa, Tien-Chien Jen, Esther T. Akinlabi
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Smart process mapping of powder bed fusion additively manufactured metallic wicks using surrogate modeling J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-06 Mohammad Borumand, Saideep Nannapaneni, Gurucharan Madiraddy, Michael P. Sealy, Sima Esfandiarpour Borujeni, Gisuk Hwang
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A kind of intelligent dynamic industrial event knowledge graph and its application in process stability evaluation J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-03 Qingzong Li, Pingyu Jiang, Jianwei Wang, Maolin Yang, Yuqian Yang
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Fidelity-adaptive evolutionary optimization algorithm for 2D irregular cutting and packing problem J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-02 Yizhe Yang, Bingshan Liu, Xin Li, Qingfeng Jia, Wenyan Duan, Gong Wang
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Relational network of innovation ecosystems generated by digital innovation hubs: a conceptual framework for the interaction processes of DIHs from the perspective of collaboration within and between their relationship levels J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-02 Julio C. Serrano-Ruiz, José Ferreira, Ricardo Jardim-Goncalves, Ángel Ortiz
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A novel approach to enhance defect detection in wire arc additive manufacturing parts using radiographic testing without surface milling J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-01
Abstract The wire arc additive manufacturing (WAAM) process is gaining popularity in industrial production due to its ability to manufacture large, customized, and complex shapes. However, because of the lack of quality assurance standards in this field, non-destructive testing (NDT) methods are required to evaluate the quality of the produced parts. Radiography testing is a good candidate for that
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Vision based process monitoring in wire arc additive manufacturing (WAAM) J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-01 Jan Franke, Florian Heinrich, Raven T. Reisch
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Human–machine knowledge hybrid augmentation method for surface defect detection based few-data learning J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-01 Yu Gong, Xiaoqiao Wang, Chichun Zhou, Maogen Ge, Conghu Liu, Xi Zhang
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A novel approach for tool condition monitoring based on transfer learning of deep neural networks using time–frequency images J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-01 Yao Li, Zhengcai Zhao, Yucan Fu, Qingliang Chen
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Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-01 Peng Gao, Zijian Wu, Yiming Wang, Jun Lu, Zhuang Zhao
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Nash equilibrium as a tool for the Car Sequencing Problem 4.0 J. Intell. Manuf. (IF 8.3) Pub Date : 2024-03-01 Sara Bysko, Jolanta Krystek, Andrzej Świerniak
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Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-28 Abhilash Puthanveettil Madathil, Xichun Luo, Qi Liu, Charles Walker, Rajeshkumar Madarkar, Yukui Cai, Zhanqiang Liu, Wenlong Chang, Yi Qin
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A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-26
Abstract Thermal error modeling (TEM) is essential for preserving machining accuracy and enhancing the reliability of electric spindle systems. However, the major challenges in TEM lie in the limited or unavailable labeled thermal error samples due to the difficulties in data acquisition, as well as the problem of large distribution discrepancy between training and testing data under variable working
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Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-24 Sarvesh Sundaram, Abe Zeid
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An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-23 Yusuf Özçevik, Fikret Sönmez
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Union channel pruning-based U2Net for online surface defect segmentation of aluminum strips in production processes J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-20 Zehua Lv, Yibo Li, Siying Qian, Liuqing Wu, Yi Yang
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Enhancing spatiotemporal predictive learning: an approach with nested attention module J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-20 Shaoping Wang, Ren Han
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Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-08
Abstract Tool wear monitoring is crucial for quality control and cost reduction in manufacturing processes, of which drilling applications are one example. Identification of the wear area in images of cutting inserts is important to building a reliable ground truth for the development of indirect monitoring approaches. Therefore, we present a semantic image segmentation pipeline for wear detection
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Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-08 Seon Han Choi, Byeong Soo Kim
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Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-08 Jichun Wang, Guifang Duan, Yang Wang, Guodong Yi, Liangyu Dong, Zili Wang, Xuewei Zhang, Shuyou Zhang
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NG-Net: No-Grasp annotation grasp detection network for stacked scenes J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-07 Min Shi, Jingzhao Hou, Zhaoxin Li, Dengming Zhu
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Digital twin-driven real-time suppression of delamination damage in CFRP drilling J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-03 Jielin Chen, Shuang Li, Hanwei Teng, Xiaolong Leng, Changping Li, Rendi Kurniawan, Tae Jo Ko
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Multi-scale progressive fusion-based depth image completion and enhancement for industrial collaborative robot applications J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-03 Chuhua Xian, Jun Zhang, Wenhao Yang, Yunbo Zhang
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Flexible dual-mode sensor with accurate contact pressure sensing and contactless distance detection functions for robotic perception J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-03 Zhijian Chen, Yancheng Wang, Zhongtan Zhang, Deqing Mei, Weijie Liu
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Survey on ontology-based explainable AI in manufacturing J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-01 Muhammad Raza Naqvi, Linda Elmhadhbi, Arkopaul Sarkar, Bernard Archimede, Mohamed Hedi Karray
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Multi-label oxide classification in float-zone silicon crystal growth using transfer learning and asymmetric loss J. Intell. Manuf. (IF 8.3) Pub Date : 2024-02-01 Tingting Chen, Guido Tosello, Matteo Calaon
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Differential contrast guidance for aeroengine fault diagnosis with limited data J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-29
Abstract Data-driven methods have high requirements for data samples and the ideal state is to have sufficient samples and labels for model training. However, due to the limited sample of aeroengine fault data, existing methods often cannot achieve good classification results. To solve this problem, a contrastive learning strategy guided by fault type differences for aeroengine fault diagnosis with
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Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-27
Abstract Manufacturing systems are undergoing systematic change facing the trade-off between the customer's needs and the economic and ecological pressure. Especially assembly systems must be more flexible due to many product generations or unpredictable material and demand fluctuations. As a solution line-less mobile assembly systems implement flexible job routes through movable multi-purpose resources
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Multi-objective sustainable production planning for a hybrid multi-stage manufacturing-remanufacturing system with grade-based classification of recovered and remanufactured products J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-25 Houria Lahmar, Mohammed Dahane, Kinza Nadia Mouss, Mohammed Haoues
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Causal deep learning for explainable vision-based quality inspection under visual interference J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-22 Tianbiao Liang, Tianyuan Liu, Junliang Wang, Jie Zhang, Pai Zheng
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Automated porosity segmentation in laser powder bed fusion part using computed tomography: a validity study J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-20 Catherine Desrosiers, Morgan Letenneur, Fabrice Bernier, Nicolas Piché, Benjamin Provencher, Farida Cheriet, François Guibault, Vladimir Brailovski
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Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-20 Waqar Ahmed Khan, Mahmoud Masoud, Abdelrahman E. E. Eltoukhy, Mehran Ullah