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- Mahjabin Moon currently works as a Lecturer of Industrial and Production Engineering (IPE) in the Department of Mechanical and Production Engineering (MPE) at Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh. Her current research interests include- Minimum Quantity Lubrication, Environmentally friendly machining, Surface Treatment, CNT/nanocomposites, etc.edit
In order to reduce the temperature produced during machining along with better surface finish and improved tool life, flood coolant has been used for ages. However, because of its adverse effects on human health, environment, and total... more
In order to reduce the temperature produced during machining along with better surface finish and improved tool life, flood coolant has been used for ages. However, because of its adverse effects on human health, environment, and total machining cost, finding alternative ways has become a necessity which ultimately leads toward minimum quantity lubrication (MQL), near dry and dry machining. In this study, the effects of chilled air cooling and MQL on machining performance of hardened 202 stainless steel in turning were observed in respect of surface roughness and cutting temperature. Also, machining under dry cutting condition was performed in order to carry out the relative comparison among these three. The experiment was designed using Design Expert-12, and two computational models were formulated using response surface methodology (RSM) and genetic algorithm (GA). Furthermore, separate optimization models were developed using genetic algorithm (GA) to determine the critical input parameters related to minimum surface roughness and cutting temperature.
Research Interests:
In order to reduce the temperature produced during machining along with better surface finish and improved tool life, flood coolant has been used for ages. However, because of its adverse effects on human health, environment, and total... more
In order to reduce the temperature produced during machining along with better surface finish and improved tool life, flood coolant has been used for ages. However, because of its adverse effects on human health, environment, and total machining cost, finding alternative ways has become a necessity which ultimately leads toward minimum quantity lubrication (MQL), near dry and dry machining. In this study, the effects of chilled air cooling and MQL on machining performance of hardened 202 stainless steel in turning were observed in respect of surface roughness and cutting temperature. Also, machining under dry cutting condition was performed in order to carry out the relative comparison among these three. The experiment was designed using Design Expert-12, and two computational models were formulated using response surface methodology (RSM) and genetic algorithm (GA). Furthermore, separate optimization models were developed using genetic algorithm (GA) to determine the critical input parameters related to minimum surface roughness and cutting temperature.