Mohamed, Saiful Bahri and Abbas, Adnan Jameel and Minhat, Mohamad (2013) A Review on Intelligence STEP-NC Data Model and Function Blocks CNC Machining Protocol. In: 1st International Materials, Industrial, and Manufacturing Engineering Conference (MIMEC 2013), December 4-6, 2013, Johor Bahru, Malaysia.
PDF (A Review on Intelligence STEP-NC Data Model and Function Blocks CNC Machining Protocol)
A_Review_on_Intelligence_STEP-NC_Data_Model_and_Function_Blocks_CNC_Machining_Protocol__AMR.845.779.pdf - Accepted Version Restricted to Repository staff only until 1 April 2020. Download (859kB) | Request a copy |
Abstract
This review paper describes the implementation process for STEPNCFBUoA. Its software environment is first explained. ST-Developer is the central software tool that is responsible for converting EXPRESS schema to Java classes. FBDK is the tool used for developing the function blocks editor, raw material user interface, machining set-up data interface, and machine tool database. The two examples in the ISO 14649-11 standard are used as the main test parts. The paper provides a detailed account of STEP-NC data processing, Graphic user interface (GUI) and local manufacturing databases, for example, raw material, set-up, machine tool, and cutting tool databases. Machining simulation is validated through physical machining. This is done through machining a number of parts with varying data. The simulation graphic user interface is simple and wire-frame based, but sufficiently illustrates the tool-path information as well as showing the machine tool’s limits, and set-up orientations.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | T Technology > TS Manufactures T Technology > TJ Mechanical engineering and machinery |
Divisions: | Faculty of Manufacturing Engineering > Department of Manufacturing Process |
Depositing User: | Dr. Mohamad Minhat |
Date Deposited: | 04 Feb 2014 02:06 |
Last Modified: | 28 May 2015 04:14 |
URI: | http://eprints.utem.edu.my/id/eprint/10933 |
Statistic Details: | View Download Statistic |
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