Quality Deviation Control for Aircraft Using Digital Twin

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Hongxia Cai ◽  
Jiamin Zhu ◽  
Wei Zhang
Keyword(s):  
Asset Management ◽  
Aircraft Design ◽  
Physical World ◽  
Quality Data ◽  
Digital Twin ◽  
Long Time ◽  
Heterogeneous Quality ◽  
Design Defects ◽  
Whole Life Cycle ◽  
Quality Deviation

Abstract During the manufacturing process of aircraft, quality deviation problems inevitably occur due to the high complexity of aircraft design, manufacturing errors, tooling mistakes, human factors, environmental influences, design defects, and other factors. The current quality deviation control system of civil aircraft suffers from two problems: (1) quality deviation control data are scattered in more than 100 management systems, and it is difficult to extract quality data-related information from the whole life cycle of the aircraft involving the main manufacturer and each supplier and (2) there is a lack of quality data analysis and a closed-loop information-physics fusion system for quality deviation control. Thus, it is difficult to locate the quality deviation problems and it takes a long time to deal with these problems as well. In this paper, a digital twin-based quality deviation control model is proposed. Through the digital twin modeling based on asset management shell technology, the multi-source and heterogeneous quality deviation data can be extracted and integrated. Furthermore, to deal with the second problem, a quality deviation system has been built based on digital twin. In this system, the aircraft quality deviation data can be analyzed by the FP-growth association rule algorithm and the results are provided through the system to guide the assembly site, improving the efficiency and accuracy of quality problem-solving in the physical world. In addition, a case study is stated, where the proposed approach is applied to deal with the aircraft quality deviation problems.

scholarly journals Introduction to Special Issue Titled Digital Twin Driven Design and Manufacturing

2021 ◽  
pp. 1-6
Author(s):  
Bin He ◽  
Yu Song ◽  
Yan Wang
Keyword(s):  
Real Time ◽  
Intelligent Design ◽  
Physical World ◽  
Intelligent Manufacturing ◽  
Sensor Data ◽  
Seamless Integration ◽  
Physical Systems ◽  
Digital Twin ◽  
Design And Manufacturing ◽  
Whole Life Cycle

Abstract A digital twin (DT) is the real-time digital replica of a physical entity and system. It enables the seamless integration between digital models and physical devices so that the operation, monitoring, control, and upgrade of the system, as well as personnel training, can be performed in a cyber-physical mixture mode. DTs integrate technologies such as multiphysics multiscale modeling, Internet of Things, smart sensing, machine learning, and model-based control, and act as a bridge between the physical world and the virtual world by mapping the whole life cycle of physical systems with real-time sensor data, and maintaining the complete digital trace. In the era of Industry 4.0, DT is becoming a powerful engine in the intelligent design of products and intelligent manufacturing.

scholarly journals Gemini Principles-Based Digital Twin Maturity Model for Asset Management

2021 ◽  
Vol 13 (15) ◽  
pp. 8224
Author(s):  
Long Chen ◽  
Xiang Xie ◽  
Qiuchen Lu ◽  
Ajith Kumar Parlikad ◽  
Michael Pitt ◽  
...  
Keyword(s):  
Case Studies ◽  
Asset Management ◽  
Questionnaire Survey ◽  
New Technologies ◽  
Maturity Model ◽  
Maturity Models ◽  
Digital Twin ◽  
Project Level

Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity model for measuring digital twin maturity for asset management. This model is established based on Gemini Principles to form a systematic view of digital twin development and implementation. Within this maturity model, three main dimensions consisting of nine sub-dimensions have been defined firstly, which were further articulated by 27 rubrics. Then, a questionnaire survey with 40 experts involved is designed and conducted to examine these rubrics. This model is finally illustrated and validated by two case studies in Shanghai and Cambridge. The results show that the digital twin maturity model is effective to qualitatively evaluate and compare the maturity of digital twin implementation at the project level. It can also initiate the roadmap for improving the performance of digital twin supported asset management.

scholarly journals 3D Digital Twin of Intelligent Transportation System based on Road-Side Sensing

2021 ◽  
Vol 2083 (3) ◽  
pp. 032022
Author(s):  
Yunpeng Guo ◽  
Kai Zou ◽  
Shengdong Chen ◽  
Feng Yuan ◽  
Fang Yu
Keyword(s):  
Virtual World ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Physical World ◽  
Transportation System ◽  
Traffic Information ◽  
Digital Twin ◽  
Twin System ◽  
Infrastructure System

Abstract Cooperative vehicle-infrastructure is one of the most import developing direction of future intelligent transportation system, while digital twin system can record, reproduce, and even deduce the physical system, which could be helpful for the development of cooperative vehicle-infrastructure. In this study, we proposed a 3D digital twin platform of intelligent transportation system based on road-side sensing, a core component of cooperative vehicle-infrastructure system. This platform consists of real road-side sensing unit,3D virtual environment, and the ROS bridge between them, by receiving the sensing results of physical world in real-time, the virtual world can reproduce the compatible road traffic information, such as the type,3D position and orientation of traffic participants.

scholarly journals The Importance of Data: Developing Smart Asset Management Framework in IoT Era

2020 ◽  
Vol 1 (1) ◽  
pp. 21
Author(s):  
Marga Gumelar*
Keyword(s):  
Information Technology ◽  
Asset Management ◽  
Inventory System ◽  
Fiscal Year ◽  
Technology Infrastructure ◽  
Management Framework ◽  
Current Asset ◽  
Long Time ◽  
The Republic ◽  
Asset Inventory

Municipal assets become hard problems that lasted a long time. In the fiscal year 2015, from total asset amount of   Rp 2,048.88 trillion, the Audit Board of the Republic of Indonesia found some problems on the audit of the local government financial report that 1,010 issues were related to asset registration. There were also 48 problems related to unknown assets and potential losses of Rp 289,281.23 million. This paper aims to develop municipal asset management framework by focusing on asset inventory system through the application of information technology. A case study is presented based on the findings of the Audit Board of the Republic of Indonesia. The result is a practical asset inventory system framework   to   improve   current   asset   inventory  performance.   The   use   of information technology can support the improvement of municipal asset management. But the tools are not enough without collaboration with employees. Since some regions in Indonesia inadequately have information technology infrastructure facilities, such as internet access and electricity network, this framework has obvious limitation.

scholarly journals Estimation of the parameters of fish stock dynamics from catch-at-age data and indices of abundance: can natural and fishing mortality be separated?

2007 ◽  
Vol 64 (8) ◽  
pp. 1130-1142 ◽  
Author(s):  
Sondre Aanes ◽  
Steinar Engen ◽  
Bernt-Erik Sæther ◽  
Ronny Aanes
Keyword(s):  
Gadus Morhua ◽  
State Space Model ◽  
Population Projections ◽  
Quality Data ◽  
Fish Stock ◽  
Natural Mortality ◽  
Fishing Mortality ◽  
Absolute Size ◽  
Data Set ◽  
Long Time

Models for fluctuations in size of fish stocks must include parameters that describe expected dynamics, as well as stochastic influences. In addition, reliable population projections also require assessments about the uncertainties in estimates of vital parameters. Here we develop an age-structured model of population dynamics based on catch-at-age data and indices of abundance in which the natural and fishing mortality are separated in a Bayesian state–space model. Markov chain Monte Carlo methods are used to fit the model to the data. The model is fitted to a data set of 19 years for Northeast Arctic cod (Gadus morhua). By simulations of the fitted model we show that the model captures the dynamical pattern of natural mortality adequately, whereas the absolute size of natural mortality is difficult to estimate. Access to long time series of high-quality data are necessary for obtaining precise estimates of all the parameters in the model, but some parameters cannot be estimated without including some prior information. Nevertheless, our model demonstrates that temporal variability in natural mortality strongly affects perceived variability in stock sizes. Thus, using estimation procedures that neglect temporal fluctuations in natural mortality may therefore give biased estimates of fluctuations in fish stock sizes.

scholarly journals Developing a Digital Twin and Digital Thread Framework for an ‘Industry 4.0’ Shipyard

2020 ◽  
Author(s):  
Toh Yen Pang ◽  
Juan D. Pelaez Restrepo ◽  
Ben Cheng ◽  
Alim Yasin ◽  
Hailey Lim ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Physical World ◽  
Digital Twin ◽  
Behavior Simulation ◽  
Industrial Operations ◽  
Current Design ◽  
Organizational Architecture ◽  
And Performance ◽  
Set Up ◽  
Processing And Storage

This paper provides an overview of the current state-of-the-art digital twin and digital thread technology in industrial operations. Both are transformational technologies that have the advantage of improving the efficiency of current design and manufacturing. Digital twin is an important element of the Industry 4.0 digitalization process; however, the huge amount of data that are generated and collected by digital twin offer challenges in handling, processing and storage. The paper aims to report on the development of a new framework that combines the digital twin and digital thread for better data management in order to drive innovation, improve the production process and performance, and to ensure continuity and traceability of information. The digital twin/thread framework incorporated behavior simulation and physical control components, in which these two components rely on the connectivity between the twin and thread for information flow and exchange to drive innovation. The twin/thread framework encompasses specifications that include organizational architecture layout, security, user access, cloud computing set-up, and hardware and software requirements. It is envisaged that the framework will be applicable to enhancing optimization of operational processes and traceability of information in the physical world, especially in Industry Shipyard 4.0.

scholarly journals Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine

2021 ◽  
Author(s):  
Ziran Wang
Keyword(s):  
Cloud Computing ◽  
Adaptive Cruise Control ◽  
Physical World ◽  
Game Engine ◽  
Cruise Control ◽  
Automated Vehicles ◽  
Digital Twin ◽  
Digital World ◽  
Real Entity

A Digital Twin is defined as a digital replica of a real entity in the physical world. In this study, the Digital Twin simulation is developed for connected and automated vehicles (CAVs) by leveraging the Unity game engine. A Digital Twin simulation architecture is proposed, which contains the physical world and the digital world. Particularly, the digital world consists of three layers, where the Unity game objects are built to simulate the "hardware", the Unity scripting API are used to simulate the "software", and external tools (e.g., SUMO, MATLAB, python, and/or AWS) are leveraged to enhance the simulation functionalities. A case study of personazlied adaptive cruise control (P-ACC) is conducted to showcase the effectiveness of the proposed Digital Twin simulation, where the ACC system can be designed to satisfy each driver's preference with the help of cloud computing.

scholarly journals Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine

2021 ◽  
Author(s):  
Ziran Wang
Keyword(s):  
Cloud Computing ◽  
Adaptive Cruise Control ◽  
Physical World ◽  
Game Engine ◽  
Cruise Control ◽  
Automated Vehicles ◽  
Digital Twin ◽  
Digital World ◽  
Real Entity

A Digital Twin is defined as a digital replica of a real entity in the physical world. In this study, the Digital Twin simulation is developed for connected and automated vehicles (CAVs) by leveraging the Unity game engine. A Digital Twin simulation architecture is proposed, which contains the physical world and the digital world. Particularly, the digital world consists of three layers, where the Unity game objects are built to simulate the "hardware", the Unity scripting API are used to simulate the "software", and external tools (e.g., SUMO, MATLAB, python, and/or AWS) are leveraged to enhance the simulation functionalities. A case study of personazlied adaptive cruise control (P-ACC) is conducted to showcase the effectiveness of the proposed Digital Twin simulation, where the ACC system can be designed to satisfy each driver's preference with the help of cloud computing.

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