An energy analysis of water jet process using random forest method

Azri, Muhammad Aiman Aqil (2022) An energy analysis of water jet process using random forest method. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Modern production is faced with the challenge of reducing the environmental impacts related to machining processes. Machine tools consume large amounts of energy and, as a consequence, environmental impacts are generated owing to this consumption. Many studies have been carried out in order to minimize cutting power, cutting energy or power consumed by the machine tool. Nevertheless, the response variables mentioned before do not take into account the energy required by all the components inside the machine tool during the cutting operation. This paper presents an experimental study related to the combination of cutting parameters that influence energy consumption in cutting process of Aluminum plate. A set of experimental runs was established using an Orthogonal Array design to obtain the regression empirical model for the energy consumed during machining. The adequacy of the model was proved by Random Forest method. The relationship between cutting parameters (water pressure, feed rate, cutting speed and thickness of material) and the response variables was analyzed using main effect plots and heat map. Thickness of material and feed rate were the most significant factors for minimizing the total specific energy consumed using the right combination of parameters. Consequently, sustainability and quality of the machining process were achieved at the same time.

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