MTConnect-based Cyber-Physical Machine Tool: A case study

Chao Liu; Xun Xu; Qijia Peng; Zhengyi Zhou

doi:10.1016/j.procir.2018.03.059

MTConnect-based Cyber-Physical Machine Tool: A case study

Chao Liu, Xun Xu^*, Qijia Peng, Zhengyi Zhou

^*Corresponding author for this work

Mechanical, Biomedical & Design Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Recent advancements in Information and Communication Technology have shown immense potential of advancing current CNC machine tools to Cyber-Physical Machine Tools (CPMT). CPMT deeply integrates machine tool and machining processes with computation and networking, thus becoming more intelligent, interconnected and autonomous. However, challenges of data communication and management remain. This is due to the diversity of manufacturing devices, sensors used and hence the delivery of data types. This paper presents an MTConnect-based CPMT that allows diverse types of real-time manufacturing data to be effectively and efficiently collected and managed, to enable advanced human-machine interactions and cloud-based decision-making supports in CPMT.

Original language	English
Pages (from-to)	492-497
Number of pages	6
Journal	Procedia CIRP
Volume	72
DOIs	https://doi.org/10.1016/j.procir.2018.03.059
Publication status	Published - 2018
Event	51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden Duration: 16 May 2018 → 18 May 2018

Keywords

Cyber-Physical Machine Tool
Machine Tool 4.0
MTConnect

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10.1016/j.procir.2018.03.059Licence: CC BY-NC-ND 3.0

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title = "MTConnect-based Cyber-Physical Machine Tool: A case study",

abstract = "Recent advancements in Information and Communication Technology have shown immense potential of advancing current CNC machine tools to Cyber-Physical Machine Tools (CPMT). CPMT deeply integrates machine tool and machining processes with computation and networking, thus becoming more intelligent, interconnected and autonomous. However, challenges of data communication and management remain. This is due to the diversity of manufacturing devices, sensors used and hence the delivery of data types. This paper presents an MTConnect-based CPMT that allows diverse types of real-time manufacturing data to be effectively and efficiently collected and managed, to enable advanced human-machine interactions and cloud-based decision-making supports in CPMT.",

keywords = "Cyber-Physical Machine Tool, Machine Tool 4.0, MTConnect",

author = "Chao Liu and Xun Xu and Qijia Peng and Zhengyi Zhou",

year = "2018",

doi = "10.1016/j.procir.2018.03.059",

language = "English",

volume = "72",

pages = "492--497",

journal = "Procedia CIRP",

issn = "2212-8271",

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note = "51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 ; Conference date: 16-05-2018 Through 18-05-2018",

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TY - JOUR

T1 - MTConnect-based Cyber-Physical Machine Tool

T2 - 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018

AU - Liu, Chao

AU - Xu, Xun

AU - Peng, Qijia

AU - Zhou, Zhengyi

PY - 2018

Y1 - 2018

N2 - Recent advancements in Information and Communication Technology have shown immense potential of advancing current CNC machine tools to Cyber-Physical Machine Tools (CPMT). CPMT deeply integrates machine tool and machining processes with computation and networking, thus becoming more intelligent, interconnected and autonomous. However, challenges of data communication and management remain. This is due to the diversity of manufacturing devices, sensors used and hence the delivery of data types. This paper presents an MTConnect-based CPMT that allows diverse types of real-time manufacturing data to be effectively and efficiently collected and managed, to enable advanced human-machine interactions and cloud-based decision-making supports in CPMT.

AB - Recent advancements in Information and Communication Technology have shown immense potential of advancing current CNC machine tools to Cyber-Physical Machine Tools (CPMT). CPMT deeply integrates machine tool and machining processes with computation and networking, thus becoming more intelligent, interconnected and autonomous. However, challenges of data communication and management remain. This is due to the diversity of manufacturing devices, sensors used and hence the delivery of data types. This paper presents an MTConnect-based CPMT that allows diverse types of real-time manufacturing data to be effectively and efficiently collected and managed, to enable advanced human-machine interactions and cloud-based decision-making supports in CPMT.

KW - Cyber-Physical Machine Tool

KW - Machine Tool 4.0

KW - MTConnect

UR - http://www.scopus.com/inward/record.url?scp=85049580709&partnerID=8YFLogxK

UR - https://www.sciencedirect.com/science/article/pii/S2212827118301616?via%3Dihub

U2 - 10.1016/j.procir.2018.03.059

DO - 10.1016/j.procir.2018.03.059

M3 - Conference article

AN - SCOPUS:85049580709

SN - 2212-8271

VL - 72

SP - 492

EP - 497

JO - Procedia CIRP

JF - Procedia CIRP

Y2 - 16 May 2018 through 18 May 2018

ER -

MTConnect-based Cyber-Physical Machine Tool: A case study

Abstract

Keywords

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