Article
Engineering, Industrial
Andrew Kusiak
Summary: The globalization of manufacturing and service industries has made the sector more complex and vulnerable. With the transformation of these industries, six enablers of miniversal manufacturing have emerged, shaping the design of future enterprises.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Review
Engineering, Civil
Kaikai Xu, Yadong Gong, Zhao Qiang
Summary: This paper compares additive manufacturing technologies, such as Fused Deposition Modeling, Selective Laser Sintering, Selective Laser Melting, Stereolithography, Layered Object Manufacturing, with traditional manufacturing processes. It discusses the differences in processing principles and materials between laser additive manufacturing and traditional processing technology. The paper also presents the development status of various materials and highlights the advantages of metal products manufactured by additive manufacturing technology. It proposes future prospects and identifies the limitations of additive manufacturing technology.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Pulin Li, Pingyu Jiang
Summary: Shared factory (SharedF) is a fenceless plant that enables high-efficiency self-organization and sustainability of shared manufacturing resources. The Enhanced Self-organizing Agent (ESA) is proposed as a key technology in this context, facilitating cross-sharing and possessing self-decision making and self-learning abilities.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Green & Sustainable Science & Technology
Nidhi Punj, Aidi Ahmi, Anita Tanwar, Suzari Abdul Rahim
Summary: This bibliometric analysis provides insights into the evolving field of green manufacturing, not merely mapping the literature but critically identifying research frontiers, underlying themes, and interconnections within the existing body of knowledge. The study reveals a significant growth in literature, with focuses on sustainability, Industry 4.0, life cycle assessment, and innovative technologies. Three main clusters are identified, emphasizing sustainable practices, the role of lean manufacturing, and emerging technologies like 3D printing. Notable contributions from regions such as China are highlighted, with key terms like sustainable manufacturing, green manufacturing, and sustainability at the forefront. This study seeks to fill an essential gap and provides guidance for future research directions, shaping policy decisions and fostering a globally competitive and environmentally friendly manufacturing landscape.
JOURNAL OF CLEANER PRODUCTION
(2023)
Review
Green & Sustainable Science & Technology
Ali Bastas
Summary: This article conducted a systematic review of sustainable manufacturing technologies literature, highlighting sustainable machining as a key theme with research efforts focused on the elimination of lubricants. Various manufacturing systems and process sustainability assessment technologies were identified, and sustainability indicators were critically evaluated. A conceptual framework for sustainable manufacturing technology research was constructed to drive future thinking and growth in this research stream.
Article
Polymer Science
Fabian Ferrano, Tizian Wachter, Miranda Fateri, Michael Schmiedt
Summary: The influence of extrusion infill angles on the mechanical properties of 3D printed test specimens were investigated in this study. Different polylactide (PLA) specimens with varying infill angles were manufactured and tested using Computed Tomography (CT) scanning and optical measuring system. The results showed significant deviation between the real geometry behavior and the model. Finite Element Method (FEM) simulations were also conducted, which predicted an increase in stiffness, ultimate tensile strength, and strain at failure due to geometric deviation. The goal of this work is to evaluate the stiffness and strength of FFF-printed components using FEM with a justifiable testing effort, considering the directional dependence and suitable strength criterion.
Article
Materials Science, Multidisciplinary
Rangasayee Kannan, Peeyush Nandwana, Thomas Feldhausen
Summary: This study compared the higher elongation and minimal strength drop of 316L stainless steel manufactured using hybrid and fully additive approaches, finding that twinning was the dominant deformation mechanism in both cases. The lower fraction of twins in hybrid approach delayed the onset of steady-state strain hardening rate, leading to an overall increase in elongation to failure.
Article
Computer Science, Interdisciplinary Applications
Arfan Majeed, Yingfeng Zhang, Shan Ren, Jingxiang Lv, Tao Peng, Saad Waqar, Enhuai Yin
Summary: The paper presents the development and application of the sustainable and smart additive manufacturing (SSAM) framework, aiming to improve the production efficiency and sustainability of additive manufacturing enterprises. By combining big data analytics, additive manufacturing, and sustainable smart manufacturing technologies, energy consumption and product quality are effectively controlled.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Manufacturing
Yi Xiong, Yunlong Tang, Qi Zhou, Yongsheng Ma, David W. Rosen
Summary: Intelligent additive manufacturing and design (IAMD) is a powerful tool for decision-making in product and service development, utilizing intelligent technologies. It has the potential to improve the manufacturability, repeatability, and reproducibility of additive manufacturing and unlock design freedom. This paper introduces the concept of IAMD and presents a triple-layer model, discussing the scientific and engineering challenges and future perspectives in the field.
ADDITIVE MANUFACTURING
(2022)
Article
Engineering, Industrial
Hoda ElMaraghy, Waguih ElMaraghy
Summary: This article introduces a new paradigm called Adaptive Cognitive Manufacturing Systems (ACMS) and its characteristics, including cognitive adaptation. It presents the classification and definitions of four types of adaptability in manufacturing systems. It also discusses human-centric collaboration, the future of work in cognitive adaptive manufacturing systems, and the features and applications of Cognitive Digital Twins (CDT). The presented concepts and technologies make significant contributions to the field of manufacturing systems and provide a roadmap for future research.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Manufacturing
Lamis R. Darwish, Mohamed T. El-Wakad, Mahmoud M. Farag
Summary: This paper proposes a Heated Inductive-enabled Syringe Pump Extrusion (HISPE) multifunction open-source module with a potential application in bioprinting, which enhances the printing range and forms of FDM 3D printers. It is designed to be cost-effective, simple, and easy to replicate, with the capability of printing high-precision models as confirmed by scanning electron microscope (SEM) investigation on bone scaffolds.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2021)
Review
Materials Science, Multidisciplinary
Hong Luo, Yingying Zhang, Jianwu Yu, Xinran Dong, Tianfeng Zhou
Summary: This review provides a comprehensive overview of the latest developments in subtractive, additive, and formative manufacturing of functional micro/nanostructures using different forms of glass feedstocks. The review compares and evaluates the key features of various manufacturing techniques and discusses their capabilities and challenges. Future prospects and opportunities in glass micro/nanofabrication are also summarized.
MATERIALS & DESIGN
(2023)
Article
Engineering, Manufacturing
T. Bergs, U. Schwaneberg, S. Barth, L. Hermann, T. Grunwald, S. Mayer, F. Biermann, N. Soezer
Summary: Digitalization and Industry 4.0 offer promising solutions to current technical challenges. The concept of Biological Transformation in manufacturing, which involves the interaction of biological, manufacturing, and information systems, is introduced as an emerging research field in this publication. Through discussing the potential of these interactions, the paper aims to inspire further research in the area.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Mitali Sarkar, Kun Soo Park
Summary: This study emphasizes the importance of automation and flexibility in reducing the makespan for multi-stage work-in-process inventory under a complex production system. By optimizing the production lot size, production rate, and backorder rate, the study determines the optimal values to maximize the total profit of the system.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Review
Engineering, Industrial
Ting Zheng, Marco Ardolino, Andrea Bacchetti, Marco Perona
Summary: Research on Industry 4.0 has primarily focused on the effects in smart factory production scheduling, with a lack of comprehensive study on the applications of I4.0 enabling technologies in manufacturing life-cycle processes. The results indicate a strong emphasis on production scheduling and control, along with a rising trend in servitization and circular supply chain management.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova
Summary: In Industry 5.0, Digital Twins provide flexibility and efficiency for smart manufacturing. Deep learning techniques are used to enhance the Digital Twin framework, enabling the detection and classification of human operators and robots during the manufacturing process. The framework shows promising results in accurately detecting and classifying actions of human operators and robots in various scenarios.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yi Liu, Junpeng Qiu, Jincheng Wang, Junhe Lian, Zeran Hou, Junying Min
Summary: In this study, a double-sided robotic roller forming process was developed to form ultrahigh strength steels to thin-walled profiles. Synchronized laser heating and iterative path compensation method were used to reduce forming forces and achieve high-precision forming.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zequn Zhang, Yuchen Ji, Dunbing Tang, Jie Chen, Changchun Liu
Summary: This paper proposes a digital twin system for human-robot collaboration (HRC) that overcomes the limitations of current methods and improves the overall performance. The system includes a human mesh recovery algorithm and uncertainty estimation to enhance the system's capabilities. Experimental results demonstrate the superiority of the proposed methods over baseline methods. The feasibility and effectiveness of the HRC system are validated through a case study involving component assembly.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Junmin Park, Taehoon Kim, Chengyan Gu, Yun Kang, Joono Cheong
Summary: This paper proposes a highly reliable and accurate collision estimator for robot manipulators in human-robot collaborative environments using the Bayesian approach. By assuming robot collisions as dynamic Markov processes, the estimator can integrate prior beliefs and measurements to produce current beliefs in a recursive form. The method achieves compelling performance in collision estimation with high accuracy and no false alarms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Meng Wang, Kaixuan Chen, Panfeng Wang, Yimin Song, Tao Sun
Summary: In this study, a novel teleoperation machining mode and control strategy were proposed to improve efficiency and accuracy in small batch production of large casting parts. By using variable motion mapping and elastic compensation, constant cutting force was achieved, and the workpiece was protected by employing forbidden virtual fixtures and movement constraints on the slave robot.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhaoyu Li, Dong He, Xiangyu Li, Xiaoke Deng, Pengcheng Hu, Jiancheng Hao, Yue Hou, Hongyu Yu, Kai Tang
Summary: This paper presents a novel algorithm for planning a five-axis inspection path for arbitrary freeform surfaces. By converting the inspection path planning problem into a set-covering problem, the algorithm generates a near-minimum set of inspection paths that satisfy necessary constraints. Both computer simulation and physical inspection experiments confirm the effectiveness and advantages of the proposed method.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zhen Wang, Bo Huang, Rui Huang
Summary: This paper introduces a novel framework based on deep reinforcement learning for generating machining process routes for designated parts. The framework utilizes graph representations of parts and employs convolutional graph neural networks for effective processing. Experimental results demonstrate the ability of the proposed method to generate efficient machining process routes and overcome limitations of traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Regina Kyung-Jin Lee, Hao Zheng, Yuqian Lu
Summary: Future manufacturing will witness a shift towards collaboration and compassion in human-robot relationships. To enable seamless knowledge transfer, a unified knowledge representation system that can be shared by humans and robots is essential. The Human-Robot Shared Assembly Taxonomy (HR-SAT) proposed in this study allows comprehensive assembly tasks to be represented as a knowledge graph that is understandable by both humans and robots. HR-SAT incorporates rich assembly information and has diverse applications in process planning, quality checking, and human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Jianhui He, Lefeng Gu, Guilin Yang, Yiyang Feng, Silu Chen, Zaojun Fang
Summary: This paper presents a new modular kinematic error model for collaborative robots and proposes a portable self-calibration device to improve their positioning accuracy.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hongwei Sun, Jixiang Yang, Han Ding
Summary: This paper proposes an asymmetrical FIR filter-based tool path smoothing algorithm to fully utilize the joint drive capability of robot manipulators. The algorithm considers the pose-dependent dynamics and constraints of the robot and improves motion efficiency by over 10% compared to traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Dongsheng Ge, Huan Zhao, Yiwei Wang, Dianxi Li, Xiangfei Li, Han Ding
Summary: This paper focuses on learning a stable force control policy from human demonstration during contact transients. Based on the analysis of human demonstration data, a novel human-inspired force control strategy called compliant dynamical system (CDS) is proposed. The effectiveness of the proposed method is validated through simulation and real-world experiments.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Xuepeng Huang, Zhenzhong Wang, Lucheng Li, Qi Luo
Summary: This study models the stiffness of a robot and modifies the tool influence function (TIF) with the Preston equation in order to achieve uniform surface quality in robotic bonnet polishing (RBP) of optical components. Experimental results validate the accuracy of the modified model.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Mario D. Fiore, Felix Allmendinger, Ciro Natale
Summary: This paper presents a constraint-based programming framework for task specification and motion optimization. The framework can handle constraints on robot joint and Cartesian coordinates, as well as time dependency. It also compares with existing methods and provides numerical support through illustrative examples and case studies.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yongxue Chen, Yaoan Lu, Ye Ding
Summary: This paper presents an optimization method for directly generating a six-degree-of-freedom toolpath for robotic flank milling. By optimizing the smoothness of the toolpath and the stiffness of the robot, the efficiency, accuracy, and finish of the machining are improved.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Chungang Zhuang, Haoyu Wang, Han Ding
Summary: This article proposes an end-to-end pipeline for synchronously regressing potential object poses from an unsegmented point cloud. It extracts point pair features and uses a voting architecture for instance feature extraction, along with a 3D heatmap for clustering votes and generating center seeds. An attention voting module is also employed to adaptively fuse point-wise features into instance-wise features. The network demonstrates robustness and improved performance in pose estimation.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
