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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
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Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-18 Giulio Mattera, Alessandra Caggiano, Luigi Nele
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Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-17 Likun Wang, Zi Wang, Kevin Gumma, Alison Turner, Svetan Ratchev
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Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-16 Zhicheng Xu, Vignesh Selvaraj, Sangkee Min
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A digital solution for CPS-based machining path optimization for CNC systems J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-16 Lipeng Zhang, Haoyu Yu, Chuting Wang, Yi Hu, Wuwei He, Dong Yu
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Using GANs to predict milling stability from limited data J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-13 Shahrbanoo Rezaei, Aaron Cornelius, Jaydeep Karandikar, Tony Schmitz, Anahita Khojandi
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Towards scalability for resource reconfiguration in robotic assembly line balancing problems using a modified genetic algorithm J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-12
Abstract Assembly lines are still one of the most used manufacturing systems in modern-day production. Most research affects the building of new lines and, less frequently, the reconfiguration of existing lines. However, the first is insufficient to meet the reconfigurable production paradigm required by volatile market demands. Consequent reconfiguration of resources by production requests affects
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Case study on delivery time determination using a machine learning approach in small batch production companies J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-12 Alexander Rokoss, Marius Syberg, Laura Tomidei, Christian Hülsing, Jochen Deuse, Matthias Schmidt
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Human operator decision support for highly transient industrial processes: a reinforcement learning approach J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-11
Abstract Most industrial processes are not fully-automated. Although fast and low-level control can be handled by controllers, initializing and adjusting the reference, or setpoint, values, are commonly tasks assigned to human operators. A major challenge is the control policy variation among operators. In turn this can result in inconsistencies in the final product. In order to guide operators to
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Embodied intelligence in manufacturing: leveraging large language models for autonomous industrial robotics J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-09 Haolin Fan, Xuan Liu, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li
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A rotary extrusion system with a rectangular-orifice nozzle: toward adaptive resolution in material extrusion additive manufacturing J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-08 Bahar Gharehpapagh, Ugur M. Dilberoglu, Ulas Yaman, Melik Dolen
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Neural lumped parameter differential equations with application in friction-stir processing J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-05 James Koch, WoongJo Choi, Ethan King, David Garcia, Hrishikesh Das, Tianhao Wang, Ken Ross, Keerti Kappagantula
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Systematic comparison of software agents and Digital Twins: differences, similarities, and synergies in industrial production J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-04 Lasse M. Reinpold, Lukas P. Wagner, Felix Gehlhoff, Malte Ramonat, Maximilian Kilthau, Milapji S. Gill, Jonathan T. Reif, Vincent Henkel, Lena Scholz, Alexander Fay
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A predictive maintenance model for health assessment of an assembly robot based on machine learning in the context of smart plant J. Intell. Manuf. (IF 8.3) Pub Date : 2024-01-04
Abstract This paper introduces a predictive maintenance model based on Machine Learning (ML) in the context of a smart factory. It addresses a critical aspect within factories which is the health assessment of vital machinery. This case study specifically focuses on two brass accessories assembly robots and predicts the degradation of their power transmitters, which operate under severe mechanical
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Machine-learning based process monitoring for automated composites manufacturing J. Intell. Manuf. (IF 8.3) Pub Date : 2023-12-30 Ahmed Mujtaba, Faisal Islam, Patrick Kaeding, Thomas Lindemann, B. Gangadhara Prusty
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From framework to industrial implementation: the digital twin in process planning J. Intell. Manuf. (IF 8.3) Pub Date : 2023-12-28
Abstract In today’s fast-paced market, companies are challenged to meet increasing customer demands and shorter product life cycles. To successfully respond to these demands, companies must produce a wide variety of different products. This requires the determination of necessary processes and resources for each product, which can be difficult for process engineers due to the high manual effort and
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Thermal-structure finite element simulation system architecture in a cloud-edge-end collaborative environment J. Intell. Manuf. (IF 8.3) Pub Date : 2023-12-27 Jialan Liu, Chi Ma, Shilong Wang
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Semi-supervised learning for steel surface inspection using magnetic flux leakage signal J. Intell. Manuf. (IF 8.3) Pub Date : 2023-12-26 Jae-Eun Park, Young-Keun Kim
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Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing J. Intell. Manuf. (IF 8.3) Pub Date : 2023-12-26 Yifan Qie, Benjamin Schleich, Nabil Anwer
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Improving imbalanced industrial datasets to enhance the accuracy of mechanical property prediction and process optimization for strip steel J. Intell. Manuf. (IF 8.3) Pub Date : 2023-12-24 Feifei Li, Anrui He, Yong Song, Chengzhe Shen, Fenjia Wang, Tieheng Yuan, Shiwei Zhang, Xiaoqing Xu, Yi Qiang, Chao Liu, Pengfei Liu, Qiangguo Zhao
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A component-based design approach for energy flexibility in cyber-physical manufacturing systems J. Intell. Manuf. (IF 8.3) Pub Date : 2023-12-23 Fadi Assad, Emma J. Rushforth, Robert Harrison