Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Latest Advancement in Cloud Technologies Read chapter Read first chapter

2018 | OriginalPaper | Chapter

6. Adaptive Machining Using Function Blocks

Authors : Lihui Wang, Xi Vincent Wang

Published in: Cloud-Based Cyber-Physical Systems in Manufacturing

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In a Cyber-Physical System (CPS), sensors or other communicating tools embedded in physical entities are responsible for real-time data acquisitions. Operation decisions are adaptively made according to the physical inputs, and are transferred to the physical entities in order to optimise the performance of the system. Within a CPS, function blocks are applied at control level. Function blocks, as data and function carriers, are embedded in machining processes by combining machining features (MFs), which represent machining information, e.g. machining sequence, machining parameters, and other relevant machining resources. MFs are enriched to carry much more machining information and knowledge. A reachability-based MF sequencing method then generates MF sequence adaptively to minimise the cutting tool change times. Moreover, 3-axis based setups can be merged and dispatched adaptively to the selected machine tool.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Cloud-Enabled Distributed Process Planning
next chapter Condition Monitoring for Predictive Maintenance
Literature
1.
L. Wang, A. Haghighi, Combined strength of holons, agents and function blocks in cyber-physical systems. J. Manuf. Syst. 40(Part 2), 25–34 (2016)CrossRef
2.
J. Shi, W. Arndt, F. Hu, J. Tang, Isolating—a new resampling method for gene order data, in 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (2011), pp. 135–140
3.
P. Derler, E.A. Lee, A.S. Vincentelli, Modeling cyber–physical systems. Proc. IEEE 100(1), 13–28 (2012)CrossRef
4.
J. Lee, B. Bagheri, H.A. Kao, A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)CrossRef
5.
L. Wang, M. Törngren, M. Onori, Current status and advancement of cyber-physical systems in manufacturing. J. Manuf. Syst. 37(Part 2), 517–527 (2015)CrossRef
6.
E.A. Lee, Cyber-physical systems—are computing foundations adequate? October, 1(Jan 2006), pp. 1–9
7.
S. Horbach, Advances in Sustainable and Competitive Manufacturing Systems (2013)
8.
V. Vyatkin, IEC 61499 as enabler of distributed and intelligent automation: state of the art review. IEEE Trans. Industr. Inf. 7(4), 768–781 (2011)CrossRef
9.
W. Ji, L. Wang, A. Haghighi, M. Givehchi, X. Liu, W. Ji, An enriched machining feature based approach to cutting tool selection. Int. J. Comput. Integr. Manuf. 1–10 (2017)
10.
M. Givehchi, A. Haghighi, L.H. Wang, Generic machining process sequencing through a revised enriched machining feature concept. J. Manuf. Syst. 37, 564–575 (2015)CrossRef
11.
W. Ji, L. Wang, A. Haghighi, M. Givehchi, X. Liu, A reachability based approach for machining feature sequencing. J. Manuf. Syst. 40, 96–104 (2016)CrossRef
12.
N. Deo, Graph Theory with Applications to Engineering and Computer Science (Prentice-Hall, New Jersey, 1974)MATH
13.
R. Meenakshi Sundaram, Process planning and machining sequence. Comput. Ind. Eng. 11(1–4), 184–188 (1986)CrossRef
14.
P. Prabhu, S. Elhence, H. Wang, R. Wysk, An operations network generator for computer aided process planning. J. Manuf. Syst. 9(4), 283–291 (1990)CrossRef
15.
Z. Liu, L. Wang, Sequencing of interacting prismatic machining features for process planning. Comput. Ind. 58(4), 295–303 (2007)CrossRef
16.
L. Wang, N. Cai, H.-Y. Feng, Z. Liu, Enriched machining feature-based reasoning for generic machining process sequencing. Int. J. Prod. Res. 44(8), 1479–1501 (2006)CrossRefMATH
17.
L. Wang, J. Ma, H.-Y. Feng, An adaptive and optimal setup planning system, in 4th IEEE Conference on Automation Science and Engineering (2008), pp. 67–72
18.
L. Wang, H.-Y. Feng, N. Cai, Architecture design for distributed process planning. J. Manuf. Syst. 22(2), 99–115 (2003)
19.
L. Wang, N. Cai, H.-Y. Feng, Function blocks enabled dynamic set-up dispatching and execution monitoring. Int. J. Comput. Integr. Manuf. 22(1), 3–12 (2009)
Metadata
Title
Adaptive Machining Using Function Blocks
Authors
Lihui Wang
Xi Vincent Wang
Copyright Year
2018
Book
Cloud-Based Cyber-Physical Systems in Manufacturing

Print ISBN: 978-3-319-67692-0

Electronic ISBN: 978-3-319-67693-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67693-7_6

Premium Partners

    Image Credits