Thesis-1994-Ahmad.pdf (10.61 MB)
Download filePart grouping for efficient process planning
thesis
posted on 2018-10-09, 13:42 authored by Khalil AhmadA framework to provide automated part grouping has been investigated in order
to overcome the limitations found in existing part grouping techniques. The work is
targeted at: exploration of criteria for feature-based part grouping to make the process
planning activity efficient; determination of the optimal number of part families in the part grouping
process; development of an experimental hybrid process planning system (HYCAPP); investigation of the effects of improved part grouping on manufacturing cell
design.
The research work has explored the creation of a feature-based component data
model and manufacturing system capability data model, and checked the limitations
inherent in existing part grouping techniques i.e. part grouping: around methods; based
on part geometry; based on machining processes; and based on machines. [Continues.]
Funding
Pakistan, Ministry of Science and Technology.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Publisher
© Khalil AhmadPublisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
1994Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.Language
- en