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Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response

Author

Listed:
  • Raman Kumar

    (Department of Mechanical Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, India)

  • Sehijpal Singh

    (Department of Mechanical Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, India)

  • Ardamanbir Singh Sidhu

    (Research Scholar, Department of Mechanical Engineering, I. K. Gujral Punjab Technical University, Jalandhar-Kapurthala, Highway, Vpo, Ibban 144603, India)

  • Catalin I. Pruncu

    (Design, Manufacturing & Engineering Management, University of Strathclyde, Glasgow G1 1XJ, UK)

Abstract

This paper’s persistence is to make an inclusive analysis of 268 documents about specific energy consumption (SEC) in machining operations from 2001 to 2020 in the Scopus database. A systematic approach collects information on SEC documents’ primary data; their types, publications, citations, and predictions are presented. The VOSviewer 1.1.16 and Biblioshiny 2.0 software are used for visualization analysis to show the progress standing of SEC publications. The selection criteria of documents are set for citation analysis. The ranks are assigned to the most prolific and dominant authors, sources, articles, countries, and organizations based on the total citations, number of documents, average total citation, and total link strength. The author-keywords, index-keywords, and text data content analysis has been conducted to find the hotspots and progress trend in SEC in machining operations. The most prolific and dominant article, source, author, organization, and country are Anderson et al. “Laser-assisted machining of Inconel 718 with an economic analysis”, the Int J Mach Tools Manuf, Shin Y.C., form Purdue University Singapore, and United States, respectively, based on total citations as per defined criteria. The author keywords “specific cutting energy” and “surface roughness” dominate the machining operations SEC. SEC’s implication in machining operations review and bibliometric analysis is to deliver an inclusive perception for the scholars working in this field. It is the primary paper that utilizes bibliometric research to analyze the SEC in machining operations publications expansively. It is valuable for scholars to grasp the hotspots in this field in time and help the researchers in the SEC exploration arena rapidly comprehend the expansion status and trend.

Suggested Citation

  • Raman Kumar & Sehijpal Singh & Ardamanbir Singh Sidhu & Catalin I. Pruncu, 2021. "Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response," Sustainability, MDPI, vol. 13(10), pages 1-30, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5617-:d:556624
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    References listed on IDEAS

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    1. Bonilla-Campos, Iñigo & Nieto, Nerea & del Portillo-Valdes, Luis & Manzanedo, Jaio & Gaztañaga, Haizea, 2020. "Energy efficiency optimisation in industrial processes: Integral decision support tool," Energy, Elsevier, vol. 191(C).
    2. Cai, Wei & Liu, Fei & Dinolov, Ognyan & Xie, Jun & Liu, Peiji & Tuo, Junbo, 2018. "Energy benchmarking rules in machining systems," Energy, Elsevier, vol. 142(C), pages 258-263.
    3. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    4. Akvile Lawrence & Patrik Thollander & Mariana Andrei & Magnus Karlsson, 2019. "Specific Energy Consumption/Use (SEC) in Energy Management for Improving Energy Efficiency in Industry: Meaning, Usage and Differences," Energies, MDPI, vol. 12(2), pages 1-22, January.
    5. Jie Zhu & Weijian Hua, 2017. "Visualizing the knowledge domain of sustainable development research between 1987 and 2015: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 893-914, February.
    6. Adriane Cavalieri & João Reis & Marlene Amorim, 2021. "Circular Economy and Internet of Things: Mapping Science of Case Studies in Manufacturing Industry," Sustainability, MDPI, vol. 13(6), pages 1-32, March.
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    Cited by:

    1. Ardamanbir Singh Sidhu & Sehijpal Singh & Raman Kumar & Danil Yurievich Pimenov & Khaled Giasin, 2021. "Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study," Energies, MDPI, vol. 14(16), pages 1-39, August.
    2. Davidescu Adriana AnaMaria & Agafiței Marina-Diana & Strat Vasile Alecsandru & Dima Alina Mihaela, 2024. "Mapping the Landscape: A Bibliometric Analysis of Rating Agencies in the Era of Artificial Intelligence and Machine Learning," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 67-85.
    3. Büşra Ayan & Elif Güner & Semen Son-Turan, 2022. "Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach," Logistics, MDPI, vol. 6(4), pages 1-39, December.
    4. Vysochan Oleh S. & Hyk Vasyl & Mykytyuk Nataliya & Vysochan Olha O., 2023. "Taxonomy of Financial Reporting in the Context of Digitalization of the Economy: Domestic and International Analysis Scientific Research," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(2), pages 49-70, June.
    5. Olga Pilipczuk, 2022. "Building the Cognitive Enterprise in the Energy Sector," Energies, MDPI, vol. 15(24), pages 1-13, December.
    6. Cai, Wei & Wang, Lianguo & Li, Li & Xie, Jun & Jia, Shun & Zhang, Xugang & Jiang, Zhigang & Lai, Kee-hung, 2022. "A review on methods of energy performance improvement towards sustainable manufacturing from perspectives of energy monitoring, evaluation, optimization and benchmarking," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    7. Md. Rezaul Karim & Juairiya Binte Tariq & Shah Murtoza Morshed & Sabbir Hossain Shawon & Abir Hasan & Chander Prakash & Sunpreet Singh & Raman Kumar & Yadaiah Nirsanametla & Catalin I. Pruncu, 2021. "Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    8. Olga Pilipczuk, 2022. "Cognitive Computing—Will It Be the Future “Smart Power” for the Energy Enterprises?," Energies, MDPI, vol. 15(17), pages 1-19, August.
    9. Raman Kumar & Shubham Sharma & Ranvijay Kumar & Sanjeev Verma & Mohammad Rafighi, 2023. "Review of Lubrication and Cooling in Computer Numerical Control (CNC) Machine Tools: A Content and Visualization Analysis, Research Hotspots and Gaps," Sustainability, MDPI, vol. 15(6), pages 1-44, March.

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