Chou Siaw Meng and Associate Professor Tai Kang. Their invaluable advice and patience throughout his candidature were truly appreciated. The author would also like to extend his appreciation to Professor Chua Chee Kai for opening the opportunity in pursuing his research in Singapore Centre for 3D Printing (SC3DP). Secondly, the author would like to thank the undergraduate and master students he mentored for their Final Year Projects (FYP), Undergraduate Research Experience on Campus (URECA) and master's dissertation projects for their help in the experiments and analyses providing valuable information to the author. The author is also grateful to fellow researcher in SC3DP, Ahmad Anwar for his companionship and support throughout the entire journey. The author also would like to thank other researchers who have helped along the way.
The current gold standard of identifying yield points from stress strain curves involves identifying a significant change in elastic modulus or using an arbitrary strain offset (0.1%, 0.2% or 2%) of the elastic modulus. The development of the offset method was due to the ambiguous definitions of yield point. The result is an arbitrary yield point which is prone to various human-related errors. This article presents a method to identify a unique yield point consistently using energy absorbed by the material up to first peak stress. This mathematical process idealises the stress strain curve for easy identification of the yield point. The method was tested on three possible types of stress strain curves with either a distinct yield point or without a distinct yield point (with peak stress closer to elastic region or closer to fracture). The yield points obtained by the proposed method are shown to be robust, consistent and unaffected by variations of the stress strain curves and data noises.
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