Determining the energy demand towards sustainable machining of AISI 316L stainless steel
Rusdi Nur, Asmeati Sabir, Muhammad Arsyad Suyuti, Abdul Salam
Abstract
Open-access reader
Rusdi Nur, Asmeati Sabir, Muhammad Arsyad Suyuti, Abdul Salam
Abstract
Open-access reader
Minimizing the energy demand of machining operations has become mainly in the manufacturing field; encouraged by the significantly increase in the energy cost and the environmental effects due to high levels of energy demand. The energy consumed to cutting operation in turning process was divided into two sections, i.e. the energy used to setup machine and the energy consumed to cutting process. The total energy demand of machining process can be estimated with prediction equations based on material removal rate (MRR) and cutting force. This paper aims to promote an approach to predict and calculated the total energy demand of cutting operation performing the sustainable in turning process. The results presented that the estimated of energy demand values are almost similar to the actual values about 7.3 percent than the actual energy demand.
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Minimizing the energy demand of machining operations has become mainly in the manufacturing field; encouraged by the significantly increase in the energy cost and the environmental effects due to high levels of energy demand. The energy consumed to cutting operation in turning process was divided into two sections, i.e. the energy used to setup machine and the energy consumed to cutting process. The total energy demand of machining process can be estimated with prediction equations based on material removal rate (MRR) and cutting force. This paper aims to promote an approach to predict and calculated the total energy demand of cutting operation performing the sustainable in turning process. The results presented that the estimated of energy demand values are almost similar to the actual values about 7.3 percent than the actual energy demand.
Key concepts: Energy demand, Machining, Energy (signal processing), On demand, Process (computing), Total energy, Sustainable energy, Mechanical engineering