Modelling and optimisation of rapid prototyping

Authors:
S. H. Choi;S. Samavedam
Affiliations:
Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Haking Wong Building, Pokfulam Road, Hong Kong, PR China;Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Haking Wong Building, Pokfulam Road, Hong Kong, PR China
Venue:
Computers in Industry
Year:
2002

Citing 1
Cited 7

Virtual reality and rapid prototyping

Virtual reality in engineering

Hierarchical slice contours for layered-manufacturing

Computers in Industry
A layer-based virtual prototyping system for product development

Computers in Industry
VRPS-I: AN INTERNET-BASED VIRTUAL RAPID PROTOTYPING SYSTEM

Journal of Integrated Design & Process Science
A versatile virtual prototyping system for rapid product development

Computers in Industry
Design and evaluation of reconfigurable robotic systems for 2 1/2 axis based material deposition strategies

Integrated Computer-Aided Engineering
The computation of Pareto-optimal set in multicriterial optimization of rapid prototyping processes

Computers and Industrial Engineering
VMS-I: an internet-based virtual NC milling system

ROCOM'06 Proceedings of the 6th WSEAS international conference on Robotics, control and manufacturing technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a Virtual Reality (VR) system for modelling and optimisation of Rapid Prototyping (RP) processes. The system aims to reduce the manufacturing risks of prototypes early in a product development cycle, and hence, reduces the number of costly design-build-test cycles. It involves modelling and simulation of RP in a virtual system, which facilitates visualisation and testing the effects of process parameters on the part quality. Modelling of RP is based on quantifying the measures of part quality, which includes accuracy, build-time and efficiency with orientation, layer thickness and hatch distance. A mathematical model has been developed to estimate the build-time of the Selective Laser Sintering (SLS) process. The model incorporates various process parameters like layer thickness, hatch space, bed temperatures, laser power and sinter factor, etc. It has been integrated with the virtual simulation system to provide a test-bed to optimise the process parameters.