DOE Based Modeling In Machining Application

Mohd Ridzuan , Mustapha (2007) DOE Based Modeling In Machining Application. Project Report. UTeM, Melaka, Malaysia. (Submitted)

	PDF (24 Pages) DOE_Based_Modeling_In_Machining_-_24_Pages.pdf - Submitted Version Download (1MB)
	PDF (Full Text) DOE_Based_Modeling_In_Machining.pdf - Submitted Version Restricted to Registered users only Download (8MB)

Abstract

This paperwork presents the used of the Design of Experiment method in machining application that scoped on the laser cutting machine. In this project, the improvement planning is focused on the laser cutting machine parameters. The experimentation purposes is to optimize the machining parameters where it required determination of how changing the value of one variable or measurement can affect another variable. Another purpose of experimental design is to determine the significant factor and insignificant factor which influence the quality of a product manufacture by laser cutting machine. Besides, some parameters of the machining process can be aliased to reduce the machining cost and if the experiment is well design, it can eliminate all possible causes. In this experimentation, it is focused on the laser cutting machine where it will be experimented by manufacture products to measure the edge quality of each product. The material selected is mild steel (RST37-2) with two different thickness 2.5mm and 5mm that are fixed for the whole experiment. Before run the experimentation, a factorial design matrix is create to determine the number of experimentation run and this is doing by analyzed the early output data through testing that had been doing to get the best setup value for each parameters. From this step, it had been determine to use the 2-level Full Factorial design and the real experiment on the machine can be run. Then, the output data, surface roughness, Ra value will be derived from measuring the workpiece surface by using Portable Surface Roughness Tester. The response data (surface roughness value) of the experiment will be collected and been insert into the design table to analyzed factorial design in determination of the significant factors. For different thickness, it has different parameters that influence the cutting edge quality. For 2.5mm, their significant parameters are gas pressure and cutting speed while for 5mm it has gas pressure, power and cutting speed as their main effects. Optimization can be done if there is insignificant factor like focal distance be discard from the machining process without effect on the edge quality of machining product

Actions (login required)

View Item