Statistical Approach In Response Prediction

Rishwaraj, Gengarajoo (2010) Statistical Approach In Response Prediction. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Statistics is a branch of mathematics used extensively in natural science and also in the engineering field as well as in social science, physics and computing. The title of this study is „Statistical Approach in Response Prediction‟. The machining process selected for this study is the laser cutting process. In this study, an empirical model is developed through design of experiment and the effect of selected parameters i.e. cutting speed, frequency and duty cycle on the responses i.e. surface roughness and kerf width are investigated. This work shows that for the surface roughness, cutting speed and duty cycle is of a major concern whilst the frequency has no visible effect. The duty cycle and frequency are directly proportional in their effect on kerft width while high cutting speed value is always preferred for a good kerf width. The model developed shows good error upon validation suggesting a good predictability.

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