Introductory Presentation on

Topic of Dissertation Welding Expert System for Bead

Measurement using Artificial Neural Network

(Under MODROBs Scheme of AICTE)

GUIDED BY: Prof. Bindu Pillai

PREPARED BY: Devangi Desai (10PGME003)

Contents of presentation

Problem Statement Project Preliminary Objective and Scope of Project Project Plan of Phase-I

Problem Statement

Developing Welding Expert System for Bead Measurement using Artificial Neural Network.

Project Preliminary

Project Preliminary is on Artificial Neural Network(ANN)

Project Phase-I

Background of Project In the area of welding technology there is a wide field

for studying the effect of process parameters as well as the welding conditions for better quality of welded parts with accuracy.

MIG welding is the most popular arc welding process with a variety of applications, but the process is very complex because it uses consumable electrode so the type of bead produced and the penetration shows lot of variations.

Objective of Project

To study the process parameters of MIG welding on different materials.

To design experiments based on Taguchi method and prepare weld schedule.

To perform experiments and carry out contact and noncontact measurements.

Scope of project

To perform MIG welding experiments using ZUPER ARC 300 m/c available in workshop.

To carry out non-contact measurement using 2-D vision system and vision cameras to be procured in machine vision lab.

Project plan Phase-I

MONTH ACTIVITY

July 2011 Problem Definition

Aug 2011 Literature Review

Sept 2011 Formation of weld schedule for performing experiments

Oct 2011 Experimentation using Taguchi Method and

measurements

Nov 2011 Exposure to Non-Contact Vision System

Dec 2011 Neural network project preliminary

Jan 2011 Report Preparation of phase 1 and Mid-Term Evaluation

THANK YOU