Recognition of Machined Features from Solid Database of Prismatic Components

Ismail, Napsiah and Abu Bakar, Nooh (1997) Recognition of Machined Features from Solid Database of Prismatic Components. Pertanika Journal of Science & Technology, 5 (2). pp. 231-240. ISSN 0128-7680

[img] PDF
2192Kb

Abstract

The automation of process planning requires features to he recognized directly from a computer aided design (CAD) system. This paper presents a new technique for recognition of machined features using point classification technique with a logic-based approach. Boundary r~presentation of solid modelling is used to model a prismatic component. The system is developed entirely in the AutoCAD environment, and the AutoLISP language was used to build the recognition system as it has direct access to the database. Test results are presented to demonstrate the capabilities of the feature recognition algorithm. This paper concentrates on depression and protrusion type machined features.

Item Type:Article
Keyword:computer aided design, machined features, feature recognition, process planning, point classification
Publisher:Universiti Putra Malaysia Press
ID Code:3373
Deposited By: Nur Izzati Mohd Zaki
Deposited On:25 Nov 2009 07:48
Last Modified:27 May 2013 07:07

Repository Staff Only: item control page

Document Download Statistics

This item has been downloaded for since 25 Nov 2009 07:48.

View statistics for "Recognition of Machined Features from Solid Database of Prismatic Components"


Universiti Putra Malaysia Institutional Repository

Universiti Putra Malaysia Institutional Repository is an on-line digital archive that serves as a central collection and storage of scientific information and research at the Universiti Putra Malaysia.

Currently, the collections deposited in the IR consists of Master and PhD theses, Master and PhD Project Report, Journal Articles, Journal Bulletins, Conference Papers, UPM News, Newspaper Cuttings, Patents and Inaugural Lectures.

As the policy of the university does not permit users to view thesis in full text, access is only given to the first 24 pages only.