Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Adaptive Distributed Process Planning and Executions for Multi-tasking Machining Centers with Special Functionalities
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-8679-8049
2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Today, the dynamic market requires manufacturing firms to possess a high degree of adaptability to deal with shop-floor uncertainties. Specifically targeting SMEs active in the metal cutting sector who normally deal with intensive process planning problems, researchers have tried to address the subject. Among proposed solutions, Cloud-DPP elaborates a two-layer distributed adaptive process planning based on function-block technology and cloud concept. One of the challenges of companies is to machine as many part features as possible in a single setup on a single machine. Nowadays, multi-tasking machines are widely used due to their various advantages such as reducing setup times and increasing part accuracy. However, they also possess programming challenges because of their complex configuration and multiple machining functions. This paper reports the latest state of design and implementation of Cloud-DPP methodology to support parts with a combination of milling and turning features, and process planning for multi-tasking machining centers with special functionalities to minimize the number of setups. The contributions of this work are: representation of machining states and part transfer functionality, support of multi-tasking machines in adaptive setup merging, development of special function blocks to handle sub-setups and transitions, and finally generation of function-block network for the merged setups. The developed prototype is validated through a case study.

Place, publisher, year, edition, pages
2015. Vol. 2, p. 288-295
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-205925OAI: oai:DiVA.org:kth-205925DiVA, id: diva2:1090747
Conference
Proceedings of the 25th International Conference on Flexible Automation and Intelligent Manufacturing
Note

QC 20170427

Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2017-05-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

https://www.wlv.ac.uk/about-us/our-schools-and-institutes/faculty-of-science-and-engineering/news-and-events/events/faim-2015/

Authority records BETA

Wang, Lihui

Search in DiVA

By author/editor
Wang, Lihui
By organisation
Production Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 44 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf