☆ 4.7 Article

Digital twin-driven surface roughness prediction and process parameter adaptive optimization

ADVANCED ENGINEERING INFORMATICS (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Engineering, Industrial

Framework for manufacturing-tasks semantic modelling and manufacturing-resource recommendation for digital twin shop-floor

Xixing Li et al.

Summary: With the widespread application of new digital and information technologies, manufacturing patterns in different industries have been reformed. The digital twin shop-floor (DTS) has become an advanced data-driven manufacturing model for modern manufacturing companies. This study established a framework for manufacturing task semantic modelling and MR dynamic recommendation to meet the needs of simulation and optimization in DTS.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Industrial

Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop

Zhifeng Liu et al.

Summary: This study integrates the advantages of a digital twin and supernetwork to develop an intelligent scheduling method for workshops, enabling rapid and efficient generation of process plans and intelligent workshop scheduling. The proposed method has been verified for its efficiency through a case study of an aeroengine gear production workshop.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Industrial

Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework

Shanghua Mi et al.

Summary: Predictive maintenance is essential for ensuring and improving normal industrial production, and a framework involving cooperative awareness and interconnection across multiple organizations has been proposed to address existing bottlenecks in its popularization and application. By integrating digital twin and establishing a comprehensive mathematical programming model, this framework enables higher accuracy and reliability in predictive maintenance decision-making.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A digital twin-driven approach towards traceability and dynamic control for processing quality

Jinfeng Liu et al.

Summary: This paper proposes a digital twin-driven approach towards traceability and dynamic control for processing quality. It introduces a Bayesian network model to analyze factors affecting processing quality, establishes a multi-level scalable information model and association mechanism to integrate multi-source data, and discusses the construction method of an IoT system for dynamic control of processing quality.

ADVANCED ENGINEERING INFORMATICS (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Tool Wear Online Monitoring Method Based on DT and SSAE-PHMM

Xiangyu Zhang et al.

Summary: This paper proposed an online tool wear monitoring method based on digital twin and artificial intelligence, which established a real-time tool state reflecting digital twin model and used Stack Sparse Auto-Encoder-parallel hidden Markov model for tool wear state recognition, realizing accurate monitoring and recognition of tool wear states.

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING (2021)

添加到收藏夹

Review Computer Science, Artificial Intelligence

A review of digital twin in product design and development

C. K. Lo et al.

Summary: In the era of digitalization, emerging technologies such as Internet of Things (IoT), Digital Twin (DT), Cloud Computing, and Artificial Intelligence (AI) are quickly developed and used in product design and development. Among these technologies, Digital Twin is widely used in different industries, especially manufacturing, to monitor performance, optimize progress, simulate results, and predict potential errors. It plays various roles throughout the product lifecycle and can provide effective solutions for future product design, development, and innovation in the age of Industry 4.0. Challenges and potential applications of Digital Twin in product design and development are discussed to inspire future studies.

ADVANCED ENGINEERING INFORMATICS (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

The connotation of digital twin, and the construction and application method of shop-floor digital twin

Cunbo Zhuang et al.

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)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Product redesign using functional backtrack with digital twin

Yafan Dong et al.

Summary: Digital twin technology presents great opportunities in product development, utilizing functional backtrack from RFM to HFM for product redesign. By constructing product RFM subfield and utilizing digital twin entity, an innovative product redesign method is implemented.

ADVANCED ENGINEERING INFORMATICS (2021)

添加到收藏夹

Article Engineering, Industrial

Digital twin enhanced fault prediction for the autoclave with insufficient data

Yucheng Wang et al.

Summary: This paper proposes a method for fault prediction of autoclave using a Digital Twin model. By enhancing fault prediction with simulated data and historical data, the features of autoclave under different conditions are analyzed. The effectiveness of the proposed method is verified through result analysis.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Engineering, Manufacturing

Cutting Parameter Optimization for Reducing Carbon Emissions Using Digital Twin

Lili Zhao et al.

Summary: This paper presents a cutting parameter optimization method based on digital twins, by establishing an ontology of CNC machining processes to understand real-time interactions between physical machines and virtual twins, improving machining efficiency and reducing carbon emissions.

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Real-time machining data application and service based on IMT digital twin

Xin Tong et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

添加到收藏夹

Article Engineering, Mechanical

Deep digital twins for detection, diagnostics and prognostics

Wihan Booyse et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A welding task data model for intelligent process planning of robotic welding

Weidong Shen et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

Controller-Embeddable Probabilistic Real-Time Digital Twins for Power Electronic Converter Diagnostics

Matthew Milton et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2020)

添加到收藏夹

Article Engineering, Multidisciplinary

Optimization of process parameters for the minimization of surface residual stress in turning pure iron material using central composite design

Jiaxiang Luo et al.

MEASUREMENT (2020)

添加到收藏夹

Article Automation & Control Systems

Modeling and multi-objective optimization of cutting parameters in the high-speed milling using RSM and improved TLBO algorithm

Bo Li et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

添加到收藏夹

Article Engineering, Industrial

Digital twin-driven product design framework

Fei Tao et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

添加到收藏夹

Article Automation & Control Systems

Data-driven digital twin technology for optimized control in process systems

Rui He et al.

ISA TRANSACTIONS (2019)

添加到收藏夹

Article Engineering, Industrial

Digital Twin for rotating machinery fault diagnosis in smart manufacturing

Jinjiang Wang et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

添加到收藏夹

Article Automation & Control Systems

Digital-Twin-Based Job Shop Scheduling Toward Smart Manufacturing

Yilin Fang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

添加到收藏夹

Article Computer Science, Information Systems

A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning

Yan Xu et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Automation & Control Systems

Digital twin-driven product design, manufacturing and service with big data

Fei Tao et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)

添加到收藏夹

Article Green & Sustainable Science & Technology

An integrated approach of process planning and cutting parameter optimization for energy-aware CNC machining

Lingling Li et al.

JOURNAL OF CLEANER PRODUCTION (2017)

添加到收藏夹

Article Automation & Control Systems

Research on the diagnosis and improvement method of a process route in an enterprise production process in terms of sustainable development III

X. C. Tan et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2007)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.