APPLICATION OF SOFT COMPUTING TECHNIQUES TO ESTIMATE CUTTER LIFE INDEX USING MECHANICAL PROPERTIES OF ROCKS
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Date
2022
Authors
Massalov, Timur
Yagiz, Saffet
Adoko, Amoussou Coffi
Journal Title
Journal ISSN
Volume Title
Publisher
Applied Sciences
Abstract
The wear of cutting tools is critical for any engineering applications dealing with mechanical
rock excavations, as it directly affects the cost and time of project completion as well as the utilization
rate of excavators in various rock masses. The cutting tool wear could be expressed in terms of the life
of the tool used to excavate rocks in hours or cutter per unit volume of excavated materials. The aim of
this study is to estimate disc cutter wear as a function of common mechanical rock properties including
uniaxial compressive strength, Brazilian tensile strength, brittleness, and density. To achieve this
goal, a database of cutter life was established by analyzing data from 80 tunneling projects. The data
were then utilized for evaluating the relationship between rock properties and cutter consumption
by means of cutter life index. The analysis was based on artificial intelligence techniques, namely
artificial neural networks (ANN) and fuzzy logic (FL). Furthermore, linear and non-linear regression
methods were also used to investigate the relationship between these parameters using a statistical
software package. Several alternative models are introduced with different input variables for each
model, to identify the best model with the highest accuracy. To develop these models, 70% of the
dataset was used for training and the rest, for testing. The estimated cutter life by various models
was compared with each other to identify the most reliable model. It appears that the ANN and FL
techniques are superior to standard linear and non-linear multiple regression analysis, based on the
higher correlation coefficient (R2
) and lower Mean square error (MSE).
Description
Keywords
Type of access: Open Access, rock excavation, soft computing, cutter life index, rock strength, brittleness
Citation
Massalov, T., Yagiz, S., & Adoko, A. C. (2022). Application of Soft Computing Techniques to Estimate Cutter Life Index Using Mechanical Properties of Rocks. Applied Sciences, 12(3), 1446. https://doi.org/10.3390/app12031446