Skip to main content

2024 | OriginalPaper | Buchkapitel

Comparison and Selection of Modeling Methods for Material Removal Power in Cylindrical Turning

verfasst von : Shun Jia, Shang Wang, Anbang Li, Yang Yang

Erschienen in: Proceedings of Industrial Engineering and Management

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Cylindrical turning, as one of the most common machining methods in mechanical processing, accurately evaluating the power during the material removal process in cylindrical turning is a prerequisite and foundation for achieving energy optimization in mechanical machining processes. Currently, there are three main modeling methods for the material removal power in cylindrical turning: First, calculating the material removal power through the specific energy of cutting per unit volume (Method I); Second, calculating the material removal power through cutting forces (Method II); Third, calculating the material removal power through power measurement combined with statistical analysis (Method III). However, there is currently no general agreement on the effectiveness and applicability of these three modeling methods. Therefore, the purpose of this study is to compare and evaluate these three modeling methods through cylindrical turning experiments. The experimental results indicate that Method II has the smallest prediction error, with an average error of 4.91%. Method III follows with prediction errors all below 8.57%. Method I has the largest prediction error, with the maximum error reaching 31.09%.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Camposeco-Negrete C, de Dios Calderón-Nájera J (2019) Sustainable machining as a mean of reducing the environmental impacts related to the energy consumption of the machine tool: a case study of AISI 1045 steel machining. Int J Adv Manuf Technol 102(1–4):27–41CrossRef Camposeco-Negrete C, de Dios Calderón-Nájera J (2019) Sustainable machining as a mean of reducing the environmental impacts related to the energy consumption of the machine tool: a case study of AISI 1045 steel machining. Int J Adv Manuf Technol 102(1–4):27–41CrossRef
3.
Zurück zum Zitat Jia S, Wang S, Zhang N, Cai W, Liu Y, Hao J, Zhang Z, Yang Y, Sui Y (2022) Multi-objective parameter optimization of CNC plane milling for sustainable manufacturing. Environ Sci Pollut Res Jia S, Wang S, Zhang N, Cai W, Liu Y, Hao J, Zhang Z, Yang Y, Sui Y (2022) Multi-objective parameter optimization of CNC plane milling for sustainable manufacturing. Environ Sci Pollut Res
4.
Zurück zum Zitat Tuo J, Liu F, Liu P, Zhang H, Cai W (2018) Energy efficiency evaluation for machining systems through virtual part. Energy 159:172–183CrossRef Tuo J, Liu F, Liu P, Zhang H, Cai W (2018) Energy efficiency evaluation for machining systems through virtual part. Energy 159:172–183CrossRef
5.
Zurück zum Zitat Jia S, Yuan Q, Cai W, Li M, Li Z (2018) Energy modeling method of machine-operator system for sustainable machining. Energy Convers Manage 172:265–276CrossRef Jia S, Yuan Q, Cai W, Li M, Li Z (2018) Energy modeling method of machine-operator system for sustainable machining. Energy Convers Manage 172:265–276CrossRef
6.
Zurück zum Zitat Pawanr S, Garg GK, Routroy S (2022) A novel approach to model the energy consumption of machine tools for machining cylindrical parts. J Manuf Process 84:28–42CrossRef Pawanr S, Garg GK, Routroy S (2022) A novel approach to model the energy consumption of machine tools for machining cylindrical parts. J Manuf Process 84:28–42CrossRef
7.
Zurück zum Zitat Velchev S, Kolev I, Ivanov K, Gechevski S (2014) Empirical models for specific energy consumption and optimization of cutting parameters for minimizing energy consumption during turning. J Clean Prod 80:139–149CrossRef Velchev S, Kolev I, Ivanov K, Gechevski S (2014) Empirical models for specific energy consumption and optimization of cutting parameters for minimizing energy consumption during turning. J Clean Prod 80:139–149CrossRef
8.
Zurück zum Zitat Ning H, Zheng H, Zhang S, Yuan X (2021) Milling force prediction model development for CFRP multidirectional laminates and segmented specific cutting energy analysis. Int J Adv Manuf Technol 113:2437–2445CrossRef Ning H, Zheng H, Zhang S, Yuan X (2021) Milling force prediction model development for CFRP multidirectional laminates and segmented specific cutting energy analysis. Int J Adv Manuf Technol 113:2437–2445CrossRef
9.
Zurück zum Zitat Lv J, Tang R, Jia S, Liu Y (2016) Experimental study on energy consumption of computer numerical control machine tools. J Clean Prod 112:3864–3874CrossRef Lv J, Tang R, Jia S, Liu Y (2016) Experimental study on energy consumption of computer numerical control machine tools. J Clean Prod 112:3864–3874CrossRef
10.
Zurück zum Zitat Lv J, Tang R, Tang W, Jia S, Liu Y, Cao Y (2018) An investigation into methods for predicting material removal energy consumption in turning. J Clean Prod 193:128–139CrossRef Lv J, Tang R, Tang W, Jia S, Liu Y, Cao Y (2018) An investigation into methods for predicting material removal energy consumption in turning. J Clean Prod 193:128–139CrossRef
11.
Zurück zum Zitat Jia S, Cai W, Liu C, Zhang Z, Bai S, Wang Q, Li S, Hu L (2021) Energy modeling and visualization analysis method of drilling processes in the manufacturing industry. Energy 228:120567CrossRef Jia S, Cai W, Liu C, Zhang Z, Bai S, Wang Q, Li S, Hu L (2021) Energy modeling and visualization analysis method of drilling processes in the manufacturing industry. Energy 228:120567CrossRef
Metadaten
Titel
Comparison and Selection of Modeling Methods for Material Removal Power in Cylindrical Turning
verfasst von
Shun Jia
Shang Wang
Anbang Li
Yang Yang
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-0194-0_26

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.