Article
Automation & Control Systems
Zhongtai Hu, Xifeng Fang, Jie Zhang
Summary: The research and application of digital twin technology provide new technical means for the development of various fields. A digital twin workshop for marine diesel engine manufacturing was constructed, offering new ideas for technological innovation in the manufacturing industry.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Wenjie Jia, Wei Wang, Zhenzu Zhang
Summary: The digital twin has gained widespread attention in recent years as a key tool for digitalization and intelligence, but has become increasingly complex due to the expanding needs for multi-scale and multi-scenario simulations in reality. This paper proposes a novel modeling method for complex digital twins based on standardized processing of model division and assembly, enabling the construction of intricate digital twin models with effective elements in specific scales and scenarios through information fusion, multi-scale association, and multi-scenario iterations. This approach also allows for rapid development of digital twins through component and code reuse.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Engineering, Industrial
Shimin Liu, Yuqian Lu, Xingwang Shen, Jinsong Bao
Summary: This paper proposes a practical collaboration theory and methodology between digital twin manufacturing units, which optimizes the manufacturing process by modeling the tasks and analyzing the product quality information. The collaboration between manufacturing units forms a stable and reliable operation mode for improving production efficiency during the whole manufacturing process.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Engineering, Industrial
Zheng Xu, Fenzhu Ji, Shuiting Ding, Yunhai Zhao, Yu Zhou, Qi Zhang, Farong Du
Summary: This paper proposes a digital twin (DT)-driven optimization method for the gas exchange system of a 2-stroke heavy fuel aircraft engine, achieving performance improvement and manufacturing optimization. With the guidance of virtual manufacturing, real manufacturing and assembly are arranged more reasonably, leading to an enhancement in engine performance.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Wenjie Jia, Wei Wang, Zhenzu Zhang
Summary: In this paper, a digital twin shop floor is constructed based on the modeling method of complex digital twin. The shop floor covers multi-dimensional information and multi-scale application scenarios, and is divided into simple digital twins focusing on different scales. The implementation of the complex digital twin shop floor demonstrates the feasibility of the proposed modeling method.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Chenyuan Zhang, Wenjun Xu, Jiayi Liu, Zhihao Liu, Zude Zhou, Duc Truong Pham
Summary: This paper introduces a five-dimensional fusion model of a digital twin virtual entity for robotics-based smart manufacturing systems to support automatic reconfiguration, aiming to improve operational efficiency and meet various reconfigurable requirements.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2021)
Article
Chemistry, Analytical
Arif Furkan Mendi
Summary: Digital twin technology has significant advantages in the manufacturing sector, particularly in product development and the commercial production phase of production lines. It allows for simulation, processing, and validation of each stage of the product, leading to the discovery of potential problems and increased production efficiency.
Article
Computer Science, Interdisciplinary Applications
Linbei Jiang, Shaohui Su, Xin Pei, Changyong Chu, Yiming Yuan, Kuan Wang
Summary: Digital twin (DT) is a dynamic intelligent system that combines virtual and realistic models with multiple data sources to monitor product operation status and predict product life in smart manufacturing. However, most current DT modeling approaches focus on individual objects and lack modeling approaches for the whole life cycle and multiple objects, hindering the mining and utilization of data from all aspects of products. This paper proposes a part-level DT modeling approach based on PLM/PDM theory, integrating property, process, simulation, and feedback models within a digital thread communication framework.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Shimin Liu, Yuqian Lu, Jie Li, Xingwang Shen, Xuemin Sun, Jinsong Bao
Summary: Cloud manufacturing provides a collaborative environment for digital twin-based manufacturing systems, but access to the enterprise cloud can lead to bandwidth competition and delays. To address this, a blockchain-based data exchange approach is proposed to enable peer-to-peer data exchange between digital twin-based systems. The manufacturing edge pool is developed for specific tasks, and the blockchain ensures effective and secure data exchange. This method reduces dependence on the enterprise cloud and improves workshop flexibility, as validated by a case study on an engine.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Review
Engineering, Manufacturing
Bin He, Kai-Jian Bai
Summary: Intelligent manufacturing as the next-generation system improves productivity, reduces costs, and enhances flexibility. Sustainable manufacturing is gaining attention, with digital twin technology playing a crucial role in real-time monitoring and predictive maintenance of intelligent manufacturing systems.
ADVANCES IN MANUFACTURING
(2021)
Article
Green & Sustainable Science & Technology
Rafael Gomes Alves, Rodrigo Filev Maia, Fabio Lima
Summary: This paper presents a digital twin model of a smart irrigation system, which utilizes an internet of things platform and a discrete event simulation model to enable automatic data flow and interaction. The system allows farmers to evaluate the behavior and test different irrigation strategies, leading to improvements in agricultural operations and water usage reduction.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Industrial
Zexuan Zhu, Xiaolin Xi, Xun Xu, Yonglin Cai
Summary: This paper introduces a Digital Twin-driven thin-walled part manufacturing framework, which utilizes Digital Twin technology to improve the efficiency of thin-walled parts machining and manage trial machining processes in real-time through interactive digital data.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Cunbo Zhuang, Tian Miao, Jianhua Liu, Hui Xiong
Summary: Digital twin (DT) technology provides a novel, feasible, and clear implementation path for smart manufacturing and cyber-physical systems (CPS). DT is applied to various stages of the product lifecycle, including design, production, and service, with shop-floor digital twin (SDT) serving as a digital mapping model of the physical shop-floor. Challenges exist in building and applying SDT, particularly in the production phase.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Automation & Control Systems
Minglan Xiong, Huawei Wang, Qiang Fu, Yi Xu
Summary: The maintenance of aircraft engines has evolved towards predictive and precise maintenance, and the use of digital twin technology and deep learning methods can improve the effectiveness of predictive maintenance. Experimental results demonstrate that this method achieves high accuracy in model prediction.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Ziqi Huang, Marcel Fey, Chao Liu, Ege Beysel, Xun Xu, Christian Brecher
Summary: Digital twin (DT) and artificial intelligence (AI) technologies are essential for achieving sustainable resilient manufacturing in Industry 4.0. A novel modeling framework is proposed in this article to address the limitations of digital twins at the shopfloor level. The framework integrates AI techniques and machine tool expertise using aggregated data, contextualizes metadata sources from different stages of production, and incorporates prior knowledge to enhance modeling reliability in dynamic industrial circumstances. A hybrid learning-based digital twin is developed and tested, which enables learning uncertainties in real industrial environments and improves modeling reliability based on data quality and accessibility.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Engineering, Chemical
Petr Travnicek, Petr Junga, Jan Kudelka, Lubos Kotek
Summary: This study focuses on analyzing bund failures in large-volume atmospheric tanks storing hazardous chemicals, detailing the accidents, causes, consequences, and developing representative failure scenarios. It also proposes measures against bund failures, such as risk assessment, technical, and organizational measures, aiming to provide information for risk assessment and construction planning of new bunds, as well as revitalization and maintenance of existing ones for safety engineering, maintenance, and building design experts.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2021)
Article
Engineering, Chemical
Petr Travnicek, Zuzana Ticha, Lubos Kotek
Summary: This paper aims to provide operators and authors of safety documents with the foundation for making decisions on accident risk assessment of major accidents to the environment. The authors conducted statistical accident data analysis with two samples and confirmed differences between accidents with environmental impact and all accidents. The study also proposed improvements to the eMARS database for better data processing efficiency and access according to Seveso III directive requirements.
PROCESS SAFETY PROGRESS
(2021)
Article
Chemistry, Multidisciplinary
Stefan Markulik, Marek Solc, Jozef Petrik, Michaela Balazikova, Peter Blasko, Juraj Kliment, Martin Bezak
Summary: This article focuses on risk evaluation in pressure leaching at elevated temperatures and found a disproportionately high probability of process failure, indicating the need for corrective actions. The Monte Carlo method was used to simulate the effect of basic events’ probability on the top event – failure of the leaching process.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Chemical
Petr Travnicek, Petr Junga, Lubos Kotek, Tomas Vitez
Summary: The article addresses the issue of process safety in municipal wastewater treatment plants, creating a database of 232 accidents and analyzing their causes, consequences, and prevention methods. The most common cause of accidents is device or structural failure, with environmental damage being the most frequent consequence. Extreme weather conditions account for 13% of all accidents at WWTPs, indicating a need for operators to prepare for an increase in such incidents.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2022)
Article
Chemistry, Multidisciplinary
Stefan Markulik, Jozef Petrik, Marek Solc, Peter Blasko, Pavol Palfy, Andrea Suetoova, Lenka Girmanova
Summary: The aim of this study is to identify the root cause of defects in the production process of prestressed railway concrete sleepers. The results showed that the cause of the faulty concrete sleeper is the breaking of the bolts supplied by the external provider. Chemical analysis and hardness measurement of the bolts revealed that their hardness did not meet the required values.
APPLIED SCIENCES-BASEL
(2022)
Article
Crystallography
Jozef Petrik, Peter Blasko, Stefan Markulik, Marek Solc, Pavol Palfy
Summary: This article studies the relationship between applied load and Vickers micro-hardness of metals with different lattices. It finds a correlation between micro-hardness and metals with FCC and HCP lattices. It recommends using the true hardness to avoid misleading results.
Article
Chemistry, Multidisciplinary
Stefan Markulik, Jozef Petrik, Marek Solc, Peter Blasko, Pavol Palfy, Lenka Girmanova
Summary: This article discusses the corrective measures needed in the measurement system, and proposes two possible solutions. One is to identify the optimal pair of metrological appraisers, and the other is to improve the work with the measuring instrument. By implementing the corresponding corrective measures, the value of the capability indices increases and the number of shafts out of tolerance decreases.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Sciences
Petr Junga, Petr Travnicek, Pavel Suchy, Lubos Kotek, Tomas Vitez
Summary: This work focuses on emergency prevention in the operation of municipal solid waste landfills, aiming to provide operators and fire departments with information to prevent emergencies. It analyzes data from a reference database, summarizes the causes of emergency events, and describes measures to prevent their recurrence. It also addresses firefighting procedures, water consumption, and time.
JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT
(2023)
Article
Engineering, Industrial
Petr Travanicek, Lubos Kotek, Petr Junga
Summary: Process safety in the storage and processing of agricultural products is crucial for reducing risks to human health and property, as well as ensuring national food safety. However, the agricultural industry has received relatively less attention in terms of safety engineering compared to other sectors. This paper aims to research past accidents in agricultural processing and storage facilities, providing professionals and operators with a comprehensive source of information to prevent similar accidents. The analysis of a representative database reveals that fires are the most common accidents, with material handling facilities being the most frequent location. Organizational factors are identified as the most common causes of accidents. Measures to prevent recurrence of similar accidents are also discussed.
Article
Crystallography
Marek Solc, Peter Blasko, Jozef Petrik, Pavol Palfy, Lenka Girmanova
Summary: The study investigates the relationship between applied load and measured Vickers micro-hardness values in silver and copper alloys. The results show a reverse effect and a gradual increase in Meyer index with increasing silver content. The obtained data can help determine the approximate age of artifacts made from these alloys.
Article
Engineering, Mechanical
Zdenek Tuma, Lubos Kotek, Jiri Kroupa, Ksmil Subrt, Petr Blecha, Jiri Kovar, Miroslav Dado, Petr Heinrich
Summary: The aim of this study was to develop a method for detecting the position and motions of the wrist and fingers during work, and to measure and evaluate training tasks using an experimental device. The study focused on finger motions and proposed an evaluation method. An optical device, called Leap Motion, was used for motion monitoring, with the measured data exported to a virtual environment created in Unity3D. The training task involved simple assembly and the evaluation results are presented in this article.
MM SCIENCE JOURNAL
(2022)
Article
Metallurgy & Metallurgical Engineering
P. Blasko, B. Bulko, J. Petrik, P. Demeter, V Socha, L. Hanakova, P. Palfy, M. Solc, A. Vasilnakova
Summary: This study utilizes water and mathematical models to simulate the steel flow during continuous casting and identifies the optimal setup for the tundish to achieve symmetrical flow and minimize the difference in residence times at the outlets.
ARCHIVES OF METALLURGY AND MATERIALS
(2022)
Article
Metallurgy & Metallurgical Engineering
Jozef Petrik, Peter Blasko, Vojtech Miklos, Alena Pribulova, Peter Futas, Andrea Vasilnakova, Marek Solc
METALLURGICAL & MATERIALS ENGINEERING
(2020)