Platform for Monitoring and Comparing Machining Processes in Terms of Energy Efficiency

Franz Haas, Andres Suarez Gonzalez, Franci Cus, Uros Zuperl

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper presents a smart energy consumption monitoring platform for machining processes with a unique electrical energy consumption indicator (EECI) for the evaluation and comparison of machining processes in terms of energy efficiency. The purpose of the developed smart monitoring platform with the integrated EECI and the Industry 4.0 digital technologies is to raise the level of efficiency of the machining process and thus to stimulate more sustainable and environmentally friendly machining. The energy consumption monitoring of a milling process is performed by connecting a machine tool with integrated sensors for measuring electrical power and cutting force to a cloud platform by using resources for signal acquiring and data acquisition. The platform includes applications for energy consumption monitoring and/or analysis. Results of four machining experiments are presented to demonstrate the effectiveness of the proposed energy consumption monitoring in machining and the applicability of the newly introduced EECI at the engineering and the operational level.
Original languageEnglish
Pages (from-to)31 - 47
Number of pages17
JournalTransactions of FAMENA
Volume43
Issue number2
DOIs
Publication statusPublished - 22 Jul 2019

Fingerprint

energy efficiency
Energy efficiency
Machining
Energy utilization
Monitoring
monitoring
electrical power
Milling (machining)
energy consumption
Machine tools
data acquisition
Data acquisition
sensor
engineering
industry
Sensors
resource
indicator
Industry
experiment

Keywords

    ASJC Scopus subject areas

    • Mechanical Engineering

    Treatment code (Nähere Zuordnung)

    • Theoretical

    Cite this

    Platform for Monitoring and Comparing Machining Processes in Terms of Energy Efficiency. / Haas, Franz; Suarez Gonzalez, Andres; Cus, Franci; Zuperl, Uros.

    In: Transactions of FAMENA, Vol. 43, No. 2, 22.07.2019, p. 31 - 47.

    Research output: Contribution to journalArticleResearchpeer-review

    Haas, Franz ; Suarez Gonzalez, Andres ; Cus, Franci ; Zuperl, Uros. / Platform for Monitoring and Comparing Machining Processes in Terms of Energy Efficiency. In: Transactions of FAMENA. 2019 ; Vol. 43, No. 2. pp. 31 - 47.
    @article{617469b1a6c84d06bbf72a0bfcf1a7f6,
    title = "Platform for Monitoring and Comparing Machining Processes in Terms of Energy Efficiency",
    abstract = "This paper presents a smart energy consumption monitoring platform for machining processes with a unique electrical energy consumption indicator (EECI) for the evaluation and comparison of machining processes in terms of energy efficiency. The purpose of the developed smart monitoring platform with the integrated EECI and the Industry 4.0 digital technologies is to raise the level of efficiency of the machining process and thus to stimulate more sustainable and environmentally friendly machining. The energy consumption monitoring of a milling process is performed by connecting a machine tool with integrated sensors for measuring electrical power and cutting force to a cloud platform by using resources for signal acquiring and data acquisition. The platform includes applications for energy consumption monitoring and/or analysis. Results of four machining experiments are presented to demonstrate the effectiveness of the proposed energy consumption monitoring in machining and the applicability of the newly introduced EECI at the engineering and the operational level.",
    keywords = "Electrical Energy Consumption Indicator, EECI, Smart Monitoring, Energy Efficiency, Machining, Milling",
    author = "Franz Haas and {Suarez Gonzalez}, Andres and Franci Cus and Uros Zuperl",
    year = "2019",
    month = "7",
    day = "22",
    doi = "10.21278/TOF.43203",
    language = "English",
    volume = "43",
    pages = "31 -- 47",
    journal = "Transactions of FAMENA",
    issn = "1333-1124",
    publisher = "University of Zagreb",
    number = "2",

    }

    TY - JOUR

    T1 - Platform for Monitoring and Comparing Machining Processes in Terms of Energy Efficiency

    AU - Haas, Franz

    AU - Suarez Gonzalez, Andres

    AU - Cus, Franci

    AU - Zuperl, Uros

    PY - 2019/7/22

    Y1 - 2019/7/22

    N2 - This paper presents a smart energy consumption monitoring platform for machining processes with a unique electrical energy consumption indicator (EECI) for the evaluation and comparison of machining processes in terms of energy efficiency. The purpose of the developed smart monitoring platform with the integrated EECI and the Industry 4.0 digital technologies is to raise the level of efficiency of the machining process and thus to stimulate more sustainable and environmentally friendly machining. The energy consumption monitoring of a milling process is performed by connecting a machine tool with integrated sensors for measuring electrical power and cutting force to a cloud platform by using resources for signal acquiring and data acquisition. The platform includes applications for energy consumption monitoring and/or analysis. Results of four machining experiments are presented to demonstrate the effectiveness of the proposed energy consumption monitoring in machining and the applicability of the newly introduced EECI at the engineering and the operational level.

    AB - This paper presents a smart energy consumption monitoring platform for machining processes with a unique electrical energy consumption indicator (EECI) for the evaluation and comparison of machining processes in terms of energy efficiency. The purpose of the developed smart monitoring platform with the integrated EECI and the Industry 4.0 digital technologies is to raise the level of efficiency of the machining process and thus to stimulate more sustainable and environmentally friendly machining. The energy consumption monitoring of a milling process is performed by connecting a machine tool with integrated sensors for measuring electrical power and cutting force to a cloud platform by using resources for signal acquiring and data acquisition. The platform includes applications for energy consumption monitoring and/or analysis. Results of four machining experiments are presented to demonstrate the effectiveness of the proposed energy consumption monitoring in machining and the applicability of the newly introduced EECI at the engineering and the operational level.

    KW - Electrical Energy Consumption Indicator

    KW - EECI

    KW - Smart Monitoring

    KW - Energy Efficiency

    KW - Machining

    KW - Milling

    UR - https://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=325612

    U2 - 10.21278/TOF.43203

    DO - 10.21278/TOF.43203

    M3 - Article

    VL - 43

    SP - 31

    EP - 47

    JO - Transactions of FAMENA

    JF - Transactions of FAMENA

    SN - 1333-1124

    IS - 2

    ER -