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5th International conference on Innovative Product design and intelligent manufacturing systems, ICIPDIMS 2023

ISBN: (纸本)9789819767311

The proceedings contain 57 papers. The special focus in this conference is on Innovative Product design and intelligent manufacturing systems. The topics include: Development of an Intuitive Autonomous Ground Robot for Indoor Delivery Applications;development of a Computer-Assisted vision-Based Inspection Monitoring System for Quality Assurance;analysis of Challenges of IoT Adoption for Smart City Application;finite Element Modelling and Comparative Assessment of Single-Level Cervical Disc Replacement with Fusion Surgery;a Statistical Method-Based Auto-Fitted Genetic Algorithm for Damage Diagnosis;emovere Agnitio by Textual Tweets Using Machine Learning;government Bidding Security Management System Using Blockchain;resource Forecasting of Geographical Area Using Big Data Analytics;design Optimization and Aerothermodynamic Analysis Over a Supersonic vehicle;Evaluation of Weldability and Optimization of TIG Welding Process Parameters for Maximized Yield Strength;terahertz-Frequency Propagation for Autonomous Transport Infrastructure;energy-Efficient Coffee Pulper;community Perception on Groundwater Quality versus Analytical Quality in the Coastal Areas of visakhapatnam, India—Opinion versus Actuality;simulation Modeling and Analysis for Supply Chain Disruptions: A Case Study from a Process Industry in Kerala;integrating Hand Gesture Tracking with Physical and Digital Twins of Robotic Arm;performance Enhancement of Pump Parameters Through Innovative Spring design of Mechanical Seal for a Heat Exchanger;enhancing Biocompatibility and Performance of Multi-directionally Expanding Materials for Dental Applications: design and Analysis;synthesis of Hybrid Nanofluids, Properties, and Its Applications—A Comprehensive Review;application of Hybrid Decision-Making Method in Ranking Polymer Biomaterials for Interim Dental Crowns;Analysis on Mechanical Properties of Aluminium MMC with Graphite and Boron Nitride Powder;textile Crafts of Bharat.

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Construction and Research of intelligent manufacturing System Components Based on Agent Concept 5

Construction and Research of Intelligent Manufacturing Syste...

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5th International conference on Mechatronics Technology and intelligent manufacturing (ICMTIM)

作者： Liu, Feifei Huang, Yikai Li, Zhengyu Jiangxi Univ Sci & Technol Sch Mech & Elect Engn Ganzhou 341000 Jiangxi Peoples R China

ISBN: (纸本)9798350363272;9798350363265

This research paper proposes a new perspective on smart manufacturing systems using Agent components. It shows that integrating multi-agent systems into production lines can streamline the design and assembly process, thereby improving the overall efficiency and quality of the manufacturing system. This novel approach is particularly beneficial for line manufacturing seeking to meet mass customization needs. The successful implementation of the granule filling automated assembly line multi-agent system provides a practical example for other industries to leverage the advantages of intelligent manufacturing. The findings highlight the potential of smart manufacturing systems to significantly improve operational efficiency and quality, providing a scalable and sustainable future for manufacturing.

关键词： Agnet Multi-Agent intelligent manufacturing system

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Toward human-centered intelligent assistance system in manufacturing: challenges and potentials for operator 5.0 5

Toward human-centered intelligent assistance system in manuf...

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5th International conference on Industry 4.0 and Smart manufacturing (ISM)

作者： Bechinie, Christian Zafari, Setareh Kroeninger, Lukas Puthenkalam, Jaison Tscheligi, Manfred Austrian Inst Technol Giefinggasse 4 A-1210 Vienna Austria Salzburg Univ Jakob Haringer Str 8 A-5020 Salzburg Austria

The human-centered view emphasizes various aspects including usability, acceptance, and understandability, as they emerge in the interaction between humans and intelligent systems. For intelligent assistance systems to provide long- term added value in working environments, it is of major importance to develop a positive user experience. However, a positive user experience does not appear by itself but must be systematically investigated and designed. In this paper, we focus on the role of operator 5.0 in manufacturing and provide an overview of the main challenges and potentials related to working with intelligent systems. Drawing upon state-of-the-art literature and findings from industry (context and expert interviews and user experience workshops), this paper investigates the main discontinuous production processes (i.e., process monitoring, process optimization, process maintenance) that will undergo a series of changes due to integration of cutting-edge technologies (such as Digital Twins, Extended Reality, and Artificial Intelligence). It then identifies requirements and discusses key challenges for the realization of human-centered assistance systems. By highlighting underexplored research questions and potential improvements in industrial settings, this paper provides researchers and practitioners to establish a holistic understanding of the user experience along the industry 5.0 journey (c) 2023 The Authors. Published by ELSEvIER B.v.

关键词： human-centered design smart manufacturing assistance system Industry 5.0

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Asychronous Controller design for Markov Jump interconnected systems with Output Quantization 5

Asychronous Controller Design for Markov Jump interconnected...

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5th International conference on Mechatronics Technology and intelligent manufacturing (ICMTIM)

作者： Yan, Wen-Xiu Li, Li-Wei Nanjing Tech Univ Coll Elect Engn & Control Sci Nanjing Peoples R China

ISBN: (纸本)9798350363272;9798350363265

In this paper, decentralized asynchronous output feedback controllers is proposed for Markov jump interconnected systems with general bounded transition rates. The designed asynchronous output feedback controllers are independent of the system mode, which means that it has sustainable control behavior for the unavailable systems mode. In the controller design, the small-gain condition and the Shure compensation are used to deal with unknown interconnections and nonlinear problem. In addition, the existing conditions of the controller are obtained by using linear matrix inequalities. Finally, a simulation is given to verify the feasibility of the controller.

关键词： Asychronous control interconnected systems Markov jump systems output quantization

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Piezoelectric spray for rapid fabrication of self-powered sensor based on sustainable textiles

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COMPOSITES PART A-APPLIED SCIENCE AND manufacturing 2025年 195卷

作者： Li, Shengping Zhang, Bilin Huang, Liangkang Qin, Jiaxin Gao, Jinlong He, Pengfei Fan, Wei Li, Jianwei Xian Polytech Univ Sch Text Sci & Engn Key Lab Funct Text Mat & Prod Minist Educ Xian 710048 Peoples R China Xian Polytech Univ Inst Flexible Elect & Intelligent Text Sch Text Sci & Engn Xian 710048 Peoples R China

Based on the principle of low-carbon economy, the fabrication and design of flexible sensors with self-power and low manufacturing cost remain challenges in smart wearable electronic systems. In this study, we fabricated a self-powered piezoelectric sensor based on sustainable textiles that can be rapidly manufactured by a functional spray solution made of fluorinated polyimide (FPI) with high solubility in acetone. The as-prepared piezoelectric sensor shows excellent flexibility and enhanced intelligent sensor monitoring capabilities through incorporating barium titanate nanoparticles (BTO), while also achieving the recycling of discarded textiles. The piezoelectric sensor derived from piezoelectric spray with 20 wt% BTO concentration exhibits high piezoelectricity with output voltages reaching up to 80 v for human body detection. Furthermore, the integration of the sensor with an IoT chip-based wireless signal transmission system enables remote monitoring and emergency assistance via mobile devices, facilitating its application in smart electronic systems with great potential for application.

关键词： Polyimide Piezoelectric sensor Self-power intelligent monitoring

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APPLICATION OF BIG DATA ANALYSIS IN intelligent INDUSTRIAL design USING SCALABLE COMPUTATIONAL MODEL

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Scalable Computing 2025年第3期26卷 1180-1195页

作者： Zhang, Zhe Zhang, Heshuai College of Traffic Engineering Shijiazhuang Vocational College of Finance & Economics Hebei Shijiazhang050061 China

Smart industrial design’s incorporation of big data analytics is reshaping the manufacturing industry by boosting product innovation, optimizing design processes, and increasing overall efficiency. Massive amounts of data may be processed using scalable computing, leading to crucial insights that propel more informed, data-driven design choices. Integrating advanced analytics into current design workflows, dealing with diverse and large-volume data, and guaranteeing data quality and integrity are all obstacles to implementing extensive data analysis in industrial design. Many challenges must be solved, including keeping data secure and meeting the computational needs of real-time processing data. intelligent industrial design benefits significantly from scalable computing’s extensive data analysis capabilities, which allow systems to analyze huge quantities of data in real time. Its dynamic resource allocation achieves efficient resource utilization and optimum performance, guaranteeing that processing power scales with the demand. This research suggests an Integrated Concentric Framework for intelligent Industrial design (ICF-IID) that applies big data analysis using scalable computational resources. The framework analyses big datasets from different parts of the design and production process using powerful visualization tools, machine learning algorithms, and predictive analytics. Adaptive algorithms developed for unique demands in industrial design, strong data management protocols, and a distributed computing architecture for efficient data processing are essential components. The framework is useful for predictive maintenance, product lifecycle management, and design parameter optimization in industrial design. The framework may find design defects, predict equipment failures, and suggest improvements by analyzing historical and real-time data. The efficacy and scalability of the suggested framework are assessed through simulation analysis. These results show t

关键词： Smart manufacturing

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AGv-Based Production Line for More intelligent and Flexible manufacturing in the Textile Industry 10th

AGV-Based Production Line for More Intelligent and Flexible ...

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International conference on New Technologies, Development and Application - Advanced Production Processes and intelligent systems

作者： Maslaric, Marinko Bojic, Sanja Todorovic, vladimir Mircetic, Dejan Nikolicic, Svetlana Univ Novi Sad Fac Tech Sci Dept Traff Engn Novi Sad 21000 Serbia Univ Novi Sad Fac Tech Sci Dept Mechanizat & Design Engn Novi Sad 21000 Serbia Sci & Technol Pk Novi Sad Novi Sad 21000 Serbia Inst Artificial Intelligence Res & Dev Serbia Novi Sad 21000 Serbia

ISBN: (纸本)9783031662676;9783031662683

New-age technologies like autonomous guided vehicles (AGvs) and the Internet of Things (IoT), combined with cutting-edge production planning concepts and software, are progressively transforming traditional production systems. However, there is a notable absence of empirical studies that consolidate and assess the impact of these disruptive technologies and software on existing manufacturing systems. This research delves into the repercussions of integrating AGvs, Radio Frequency Identification (RFID) systems, and manufacturing Execution systems (MES) to establish flexible and lean manufacturing systems, using a case study to demonstrate their implementation in a textile company. The case study illustrates how AGvs can establish more intelligent and flexible manufacturing systems by following a series of steps: (i) problem definition, (ii) assessing current performance through simulation modeling, (iii) designing the proposed solution from three perspectives: lean, visualization, and flexibility, (iv) evaluating the solution through simulation modeling, (v) creating appropriate hardware and software components (vi) implementing the new solution through a demo version, and (vii) evaluating the demo's effectiveness and providing a final recommendation for full implementation. Therefore, this case study addresses the digitalization of the manufacturing system and the automation of material flow through the production line, establishing a basic connection among machines, materials, people, and other resources to collect real-time data required for optimal decision-making in textile production.

关键词： AGvs RFID MES flexible manufacturing intelligent lean

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Scheduling of Robotic Cellular manufacturing systems with Timed Petri Nets and Reinforcement Learning

Scheduling of Robotic Cellular Manufacturing Systems with Ti...

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2024 International conference on intelligent Robots and systems

作者： Yao, ZhuTao Huang, Bo Lv, JianYong Lu, XiaoYu Cui, MeiJi Yu, ShaoHua Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210094 Peoples R China

ISBN: (纸本)9798350377712;9798350377705

This paper proposes a new Petri-net-based Q-learning scheduling method to schedule robotic cellular manufacturing (RCM) systems efficiently. First, we use generalized and place-timed Petri nets to model RCM systems. Then, we design a reinforcement learning method with a sparse Q-table to evaluate state-transition pairs of the net's reachability graph. It uses the negative transition firing time as a reward for an action selection and adopts a large penalty for any encountered deadlock. In addition, it balances the state space exploration and the experience exploitation by using a dynamic epsilon-greedy policy to update the state values with an accumulative reward. Three different dynamic epsilon-greedy policies are designed for different application scenarios. Some benchmark RCM systems are tested with the proposed method and several popular PN-based online dispatching rules, such as FIFO and SRPT. Simulation results demonstrate that our method schedules RCM systems as quickly as the online dispatching rules while outperforming them in terms of schedule makespan. For readers' reference, our source code and test data are available at https://***/PNOptimizer/PNQL.

关键词： Cellular manufacturing

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design and Optimization for Three-Degree-of-Freedom vibration systems with viscous Damping 5

Design and Optimization for Three-Degree-of-Freedom Vibratio...

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5th International conference on Mechatronics Technology and intelligent manufacturing (ICMTIM)

作者： Zhang, Zhenli Guo, Hanbei Yang, Xuesong Xiong, Bo Wuhan 2nd Ship Design & Res Inst Vibrat Reduct Design Ctr Wuhan Peoples R China

ISBN: (纸本)9798350363272;9798350363265

vibration isolation systems can be classified into single-degree-of-freedom systems, two-degree-of-freedom systems, and multi-degree-of-freedom systems by degree of freedom. Many scholars have conducted extensive researches on single-degree-of-freedom and two-degree-of-freedom systems, but few on three-degree-of-freedom systems. In this paper, a mechanical model was established for a three-degree-of-freedom vibration system with viscous damping, through which a force transmissibility equation was derived using an impedance method, then asymptotic expressions of force transmissibility were given for both low-frequency and high-frequency regions, and finally an optimization design method for three-degree-of-freedom systems was derived under the constraints of equipment displacement and a sum of intermediate masses. In order to minimize the force transmissibility in the high-frequency region, the isolators and intermediate masses should be designed following the equal-rigidity and equal-mass principle under the premise of not exceeding the allowable equipment displacement and the total mass.

关键词： vibration design optimization three degree of freedom

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Repetitive positioning control for DISO systems by adaptive feed-forward cancellation

Repetitive positioning control for DISO systems by adaptive ...

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IEEE/ASME International conference on Advanced intelligent Mechatronics (AIM)

作者： Yabui, Shota Atsumi, Takenori Tokyo City Univ Fac Sci & Engn Tokyo Japan Chiba Inst Technol Fac Engn Chiba Japan

ISBN: (纸本)9798350355376;9798350355369

Repetitive motion is an important operation in manufacturing processes and other applications. It is thus necessary to design control systems that can track repetitive-motion reference signals for dual-input-single-output (DISO) systems. This paper proposes a control scheme to realize precise repetitive motion in DISO systems. The proposed design method utilizes adaptive feed-forward cancellation (AFC) to compensate the position error signal for the reference signal. This approach contributes to improving DISO system control performance. In addition, the control system can eliminate the negative impact due to the waterbed effect. The proposed control system was implemented in an experimental system, and the experimental results indicate the effectiveness of the proposed method.

关键词： Dual-input-single-output (DISO) system Repetitive control Adaptive feed-forward cancellation Loop shaping

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