Abstract
Global warming is a huge environmental issue today. This is due to the high level of world carbon emissions. The manufacturing process accounts for 30% of the world's carbon emissions production. Sustainable manufacturing is necessary to implement to reduce carbon emission levels caused by the manufacturing process. There are three aspects of sustainable manufacturing, namely environmental aspects, economic aspects, and social aspects. These three aspects can be implemented in the machining process by optimizing machining parameters in multi-pass CNC turning. This research aims to optimize CNC turning machining parameters by considering energy consumption, carbon emissions, noise, and production cost. The model is solved using a Multi-objective Genetic Algorithm in Matlab 2016b then the transformation and weighting functions are carried out from the feasible value. Based on the optimization results, the total energy consumption value obtained is 2.50 MJ; total production cost is $ 2.19; total carbon emissions are 5.97 kgCO2, and noise is 236, 19 dB. The sensitivity analysis exhibits the machining parameters that affect the objective function: The cutting speed parameter and the feed rate parameter. This model can be used to improve the manufacturing process and support sustainable manufacturing.
Highlights
The manufacturing industry plays a vital role in the global economy
The object of this research is multi-pass machining of CNC Turning, which will be optimized by considering energy consumption, carbon emission, noise, and production cost
The total energy consumption (Etotal) in the machining process of multi-pass turning is obtained from the machining energy consumption (Ec), energy consumption when the machine is idle (El), energy consumption when replacing tools (Em) and energy consumption of tools (Et) based on the optimization model developed by Arif et al.[10]
Summary
The manufacturing industry plays a vital role in the global economy. it causes various problems due to energy consumption, environmental sustainability, and personal health [1]. The manufacturing industry sector accounts for 50% of total energy consumption [2]. Several countries have implemented carbon emission taxes as a form of commitment to the Kyoto Protocol. Due to this policy, the manufacturing indus. Previous research such as [6, 7, 8, 9] stated that machining parameters such as cutting speed, feed rate, and depth of cut can affect the energy and costs incurred during machining. Et al [10] developed an energy optimization model consisting of machining, idle, tool replacement, and cutting tool energy. Fittamami et al / Multi-Objective Optimization of Machining Parameters / JTI, Vol 23, No 1, June 2021, pp.
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