Thesis-1994-Ahmad.pdf (10.61 MB)

Part grouping for efficient process planning

Download (10.61 MB)
thesis
posted on 09.10.2018, 13:42 by Khalil Ahmad
A 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 Ahmad

Publisher 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

1994

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

en

Usage metrics

Mechanical, Electrical and Manufacturing Engineering Theses

Keywords

Exports