TY - GEN
T1 - Transforming Computer Integrated Manufacturing Facility to Use as a Digital Twin Enabled Learning Factory
AU - Kumarasinghe, E. M.H.K.
AU - Liyanawaduge, N. N.
AU - Kulatunga, A. K.
AU - Seneviratne, A. M.N.D.B.
AU - Darmawardana, M.
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - Digital Twin is currently getting wider momentum in many engineering disciplines. Manufacturing industry is one of the main sectors which could gain the benefit of DT through taking decisions real time or in advance before physical systems will be tested which will save many resources and production time thereby to promote sustainable manufacturing. Therefore, empowering future manufacturing and industrial engineering professionals with DT enabled manufacturing facilities is greatly beneficial. This paper presents a transformation of CIM facility as a learning factory to educate and to use as a research facility of DT enabled manufacturing system. More than 25 years old Mitsubishi CIM facility (RHM2, PNC300 and RVM2) is retrofitted incorporating the different sensory platforms to monitor real time activities of the Industrial robot arm, product quality inspection facility, mini-CNC center operations and conveyer system integrated through Siemens (S7–1200) PLC and software installations. The Digital platform is developed by Unity and DT is enabled by RS232 and TCP/IP communication protocols and RHM2, Mini-CNC and conveyor belt hardware software integration. By establishing DT facility through retrofitting the aged CIM system, enables DT enabled Learning Factory concept to be used for education and research with very lower investment and without moving into acquire new hardware’s (robot arms, conveyers, CNC teaching Units) which itself enhance the sustainability in Manufacturing engineering education.
AB - Digital Twin is currently getting wider momentum in many engineering disciplines. Manufacturing industry is one of the main sectors which could gain the benefit of DT through taking decisions real time or in advance before physical systems will be tested which will save many resources and production time thereby to promote sustainable manufacturing. Therefore, empowering future manufacturing and industrial engineering professionals with DT enabled manufacturing facilities is greatly beneficial. This paper presents a transformation of CIM facility as a learning factory to educate and to use as a research facility of DT enabled manufacturing system. More than 25 years old Mitsubishi CIM facility (RHM2, PNC300 and RVM2) is retrofitted incorporating the different sensory platforms to monitor real time activities of the Industrial robot arm, product quality inspection facility, mini-CNC center operations and conveyer system integrated through Siemens (S7–1200) PLC and software installations. The Digital platform is developed by Unity and DT is enabled by RS232 and TCP/IP communication protocols and RHM2, Mini-CNC and conveyor belt hardware software integration. By establishing DT facility through retrofitting the aged CIM system, enables DT enabled Learning Factory concept to be used for education and research with very lower investment and without moving into acquire new hardware’s (robot arms, conveyers, CNC teaching Units) which itself enhance the sustainability in Manufacturing engineering education.
KW - Computer Integrated manufacturing
KW - Digital Twin
KW - Industry 4.0
KW - Learning Factory
KW - Sustainable Manufacturing
UR - https://www.scopus.com/pages/publications/105010141668
U2 - 10.1007/978-3-031-93891-7_97
DO - 10.1007/978-3-031-93891-7_97
M3 - Conference contribution
AN - SCOPUS:105010141668
SN - 9783031938900
T3 - Lecture Notes in Mechanical Engineering
SP - 881
EP - 888
BT - Decarbonizing Value Chains - Proceedings of the 20th Global Conference on Sustainable Manufacturing, GCSM 2024
A2 - Kohl, Holger
A2 - Seliger, Gunther
A2 - Dietrich, Franz
A2 - Vien, Ha Thuc
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th Global Conference on Sustainable Manufacturing, GCSM 2024
Y2 - 9 October 2024 through 11 October 2024
ER -
