Abstract
Configuration robot work cell has received considerable attention in the last few years due to it is very knowledge-intensive, intricate, and time-consuming process. This paper elaborated the development process of the automated configuration system (ACS) for (re-)configuring robot work cell while satisfying certain requirements of users in an innovative way. The primary purpose of this work was to provide a fast configuration system with less cost and human involvement at little or no further investment. The ACS was constructed based on the variant-shaped configuration concept with its mathematical model. A configuration and programming structure with a graphical user interface (GUI) were the outcomes of this work that were capable of determining the optimal robot work cell according to the user requirements e.g. the number of a robot, Nr and the types of configuration. This work utilized both macro and Visual Basic (VB) editor in CATIA 3D CAD software for creating a completed user interface. The current outcomes of this work will provide a basis for future investigation in determining the optimal layout of robot work cell that is dependable on other requirements.
Original language | English |
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Pages (from-to) | 113-128 |
Number of pages | 16 |
Journal | Journal of Advanced Manufacturing Technology |
Volume | 11 |
Issue number | 1 Special Issue |
Publication status | Published - 29 Oct 2017 |
Externally published | Yes |
Bibliographical note
Funding Information:We are grateful to Universiti Teknikal Malaysia Melaka (UTeM) for funding the study under MyBrain UTeM and providing materials, support and useful information. This work is also a collaborative work with the Department of Occupational Safety & Health (DOSH) Malaysia.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
Keywords
- Automated Configuration System (ACS)
- CATIA
- Interface (GUI) and Visual Basic (VB)
- Robot work cell
ASJC Scopus subject areas
- Software
- Automotive Engineering
- Hardware and Architecture
- Computer Networks and Communications
- Control and Optimization
- Industrial and Manufacturing Engineering
- Management of Technology and Innovation