Title :
A fuzzy decision making approach to determine build orientation in automated layer-based machining
Author :
Chen, YH ; Yang, ZY ; Ye, RH
Author_Institution :
Dept. of Mech. Eng., Univ. of Hong Kong, Hong Kong
Abstract :
The layer-based machining (LBM) has been developed as an integrated rapid prototyping (RP) process for large-scale models with combined benefits of both layered manufacturing (LM) processes and material removal (MR) processes. In the layer based machining process, a three dimensional model is built layer by layer. On each layer, contours are shaped by a milling process. For a given part model, different build orientation will result in variant surface quality, support design, number of stock layers, removed material volume, part stability, build time, and sometimes, the machinability of a part. The preferred build orientation should have the tendency to maximize surface quality, minimize build time and build cost simultaneously. In this paper, seven factors affecting build orientation are formulated based on the STL file of an object and represented as fuzzy variables. A fuzzy multi-criteria decision method is used to rank candidate build orientations. Experiment with two examples shows satisfactory results.
Keywords :
decision making; fuzzy set theory; layered manufacturing; machining; rapid prototyping (industrial); automated layer-based machining; build orientation; build time; fuzzy decision making; fuzzy multicriteria decision method; fuzzy variables; integrated rapid prototyping; large-scale model; layered manufacturing; material removal process; milling process; part stability; removed material volume; stock layers; support design; variant surface quality; Computer numerical control; Costs; Decision making; Fuzzy sets; Machining; Milling; Product design; Prototypes; Shape; Stability; build orientation; fuzzy decision making; layer-based machining; rapid prototyping;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636109