Cartesian spot welder

Date of Publication

1999

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Manufacturing Engineering and Management

Subject Categories

Engineering | Manufacturing

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Abstract/Summary

The study aims to develop a Cartesian Spot Welder which will take the place of the human operator during the tedious and hazardous process of welding. The said machine is working on semi-auto mode which requires the intervention of a human operator in loading and unloading the wires to be welded.

The operator will set up the wires to be welded in the wireframe, place it on the wireframe holder, and input the required data to the computer. The Cartesian Spot Welder will move and weld accordingly depending on the data set by the operator. As the Cartesian robot passes to a certain intersection which requires welding the computer will signal the two electrodes to meet. Consequently, a surge of current will be allowed to pass through to be able to weld the wires.

After welding, the Cartesian robot will move to the direction where the camera is located. This camera, together with a computer program, is the vision system of the machine wherein it will check if the points are welded correctly. The computer algorithm is used to accurately detect points that are not welded. In cases wherein points are not welded, the operator has to weld the points in manual mode. Else, if the vision system finds no problem, the wireframe will be moved to the pick-up point for the product to be taken by the operator. During the welding process, the operator is expected to prepare the next wireframe for the coming cycle.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU09277

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

75 numb. leaves ; Computer print-out.

Keywords

Electric welding; Welding--Equipment and supplies

Embargo Period

12-2-2021

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