Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Modelling Internal Combustion Engines with Statistical Quality Control

Shamsul Kumar Corresponding
Bangladesh Institute of Technology, Chittagong
Ashok Haque
Bangladesh Institute of Technology, Rajshahi
Aminul Bhuiyan
University of New South Wales

Abstract

This study is motivated by the growing importance of internal combustion engines in modern steel rolling mills. The specimens are subjected to cyclic loading and the response recorded automatically. The optimum configuration yields a saving of some 15% in material compared with the standard design. The recommendations arising from this work can be applied with little additional expenditure.
Keywords: internal combustion enginesstatistical quality controlneural networksfracture mechanicsgroundwater flow

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