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A generalized method for the inherent energy performance modeling of machine tools

Liu, Peiji (författare)
Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing, Peoples R China.;Chongqing Univ, Sch Management Sci & Real Estate, Chongqing, Peoples R China.
Zhang, Zhe (författare)
Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing, Peoples R China.
Wang, Xu (författare)
Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing, Peoples R China.
visa fler...
Li, Xiaobin (författare)
Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing, Peoples R China.
Wang, Xi Vincent, Dr. 1985- (författare)
KTH,Industriell produktion
Tuo, Junbo (författare)
Chongqing Technol & Business Univ, Sch Mech Engn, Chongqing, Peoples R China.
visa färre...
Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing, Peoples R China;Chongqing Univ, Sch Management Sci & Real Estate, Chongqing, Peoples R China. Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing, Peoples R China. (creator_code:org_t)
Elsevier BV, 2021
2021
Engelska.
Ingår i: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 61, s. 406-422
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Machine tools (MTs), as the key equipment of manufacturing systems, have enormous quantities and consume a great amount of energy. However, the diversity of both machines and their energy consumption properties make it difficult to transfer the energy-saving knowledge and services among different MT. To facilitate the initialization configuration of energy-saving services, the inherent energy performance (IEP) is investigated to describe the differences in energy consumption among MTs, and a generalized method for modeling the IEP of MT and its electrical subsystems is proposed. Three key enablers, including generalized experimental design rules, automatic coding, and data processing algorithms, are presented and integrated into a supporting system to reduce the modeling efforts and knowledge requirements. Case studies of an offline manufacturing scenario and an Internet of Things (IoT)-enabled manufacturing scenario were carried out to verify the effectiveness and convenience of the proposed method. The results show that the proposed method can provide essential modeling support for large-scale energy-saving service configurations and energy-efficient MT development.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)

Nyckelord

Energy efficiency
Machine tools
Inherent energy performance
Energy-saving services

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