e-ISSN : 0975-4024 p-ISSN : 2319-8613   
CODEN : IJETIY    

International Journal of Engineering and Technology

Home
IJET Topics
Call for Papers 2021
Author Guidelines
Special Issue
Current Issue
Articles in Press
Archives
Editorial Board
Reviewer List
Publication Ethics and Malpractice statement
Authors Publication Ethics
Policy of screening for plagiarism
Open Access Statement
Terms and Conditions
Contact Us

ABSTRACT

ISSN: 0975-4024

Title : A novel approach to recognize and extract features from a 2.5D prismatic part for an interactive G-CAPP system
Authors : Viswa Mohan Pedagopu, Manish Kumar, Saroj patel
Keywords : Computer Aided Design, Computer Aided Process Planning, Computer Aided Manufacturing, Concentric Contrasting Circles Approach Methodology and Feature
Issue Date : Feb-Mar 2016
Abstract :
The efficient integration of computer aided design, computer aided process planning and computer aided manufacturing systems is very difficult in fully automated manufacturing industries, leading to an open area for research. This paper presents a new technique; the Concentric Contrasting Circles Approach Methodology (3’CAM) has been introduced for extraction of features to generate a variety of modules for a computer- aided process planning (CAPP) system. The 3’CAM is a novel mathematical approach technique developed to surmount the difficulties in existing interface and interactive methods. A 2.5D prismatic part has been adopted for the research work and feature coordinates as input under various constraints. This technique is employed as a powerful tool to build a flexible, user friendly, an uncomplicated and expandable with reduced time and cost requirements compared with other proficiencies for interactive G-CAPP system. This technique can be applied instead of interface systems similar to Boundary representation (B-Rep) or constructive solid geometry (CSG) for feature recognition and extraction. In this paper, feature recognition, extraction methodology has been introduced and demonstrated with a simple part. The extraction of features is developed by using Visual Studio at front end, supported by SQL-Server and C# software at back end respectively.
Page(s) : 191-218
ISSN : 0975-4024
Source : Vol. 8, No.1