Investigate energy efficiency, cutting force and surface roughness in hard turning of AISI S1 Steel for sustainable manufacturing

被引:3
作者
Sahinoglu, Abidin [1 ,2 ]
机构
[1] Manisa Celal Bayar Univ, Dept Machine & Met Technol, Manisa, Turkiye
[2] Manisa Celal Bayar Univ, Dept Machine & Met Technol, TR-45140 Manisa, Turkiye
关键词
AISI S1; machinability; cutting force; power consumption; energy efficiency; surface roughness; sustainability; PREDICTION MODEL; D2; STEEL; TOOL; PARAMETERS; CONSUMPTION; MACHINABILITY; OPTIMIZATION;
D O I
10.1177/09544062231171993
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Energy consumption has been a significant issue. CO2 emissions have increased due to increased energy consumption. On the other hand, hard steels have been an essential subject of investigation due to their low energy consumption and good surface quality. Therefore, this experimental study investigates the effects of cutting parameters on cutting forces, power consumption (PC), energy consumption (EC), sound intensity (SI), and surface roughness (Ra) in machining AISI S1 (60 HRC) cold work tool steel. Feed rate (f) on cutting force with 53.23%, power consumption with 94.11% depth of cut (ap), energy efficiency with 74.92% feed rate, over surface roughness value with 86.66%, depth of cut with 94.42% on sound intensity are effective parameters. Mathematical equations related to the cutting parameters were obtained. In addition, mathematical equations were created between cutting force and power consumption, cutting force and sound intensity, and power consumption and sound intensity. Finally, optimum cutting conditions were determined with multiple optimisation methods, which turned out to be 210 m/min cutting speed (v), 0.08 mm cutting depth, and 0.0505 mm/rev feed rate. Accordingly, it was calculated that sound intensity would be reduced by 4.25%, surface roughness value would be decreased by 36.36%, power consumption by 21.74%, Fz by 26.77%, by Fy 52.46% and Fx by 24.44%.
引用
收藏
页码:2772 / 2781
页数:10
相关论文
共 34 条
[1]   Studying and Optimizing the Effect of Process Parameters on Machining Vibration in Turning Process of AISI 1040 Steel [J].
Al-Shayea, Adel ;
Abdullah, Fawaz M. ;
Noman, Mohammed A. ;
Kaid, Husam ;
Nasr, Emad Abouel .
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2020, 2020
[2]   Evaluation of Cutting Tool Vibration and Surface Roughness in Hard Turning of AISI 52100 Steel: An Experimental and ANN Approach [J].
Ambhore, Nitin ;
Kamble, Dinesh ;
Chinchanikar, Satish .
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2020, 8 (03) :455-462
[3]   Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method [J].
Asilturk, Ilhan ;
Akkus, Harun .
MEASUREMENT, 2011, 44 (09) :1697-1704
[4]  
Aytac F., 2018, J BALK TRIBOL ASSOC, V2, P3254
[5]   Application of ANN to estimate surface roughness using cutting parameters, force, sound and vibration in turning of Inconel 718 [J].
Deshpande, Yogesh, V ;
Andhare, Atul B. ;
Padole, Pramod M. .
SN APPLIED SCIENCES, 2019, 1 (01)
[6]  
Dornfeld D., 2011, Globalized Solutions for Sustainability in Manufacturing, P17
[7]   An energy consumption approach in a manufacturing process using design of experiments [J].
Guerra-Zubiaga, David A. ;
Al Mamun, Abdullah ;
Gonzalez-Badillo, Germanico .
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2018, 31 (11) :1067-1077
[8]  
Iynen O., 2020, J Inst Sci Technol, V10, P2840, DOI 10.21597/jist.736802
[9]  
Kaçal A, 2013, ACTA POLYTECH HUNG, V10, P169
[10]   Effect of machinability, microstructure and hardness of deep cryogenic treatment in hard turning of AISI D2 steel with ceramic cutting [J].
Kara, Fuat ;
Karabatak, Mustafa ;
Ayyildiz, Mustafa ;
Nas, Engin .
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2020, 9 (01) :969-983