Optimization of the Cutting Parameters Affecting the Turning of AISI 52100 Bearing Steel Using the Box-Behnken Experimental Design Method

被引:5
|
作者
Yildiz, Aytac [1 ]
Ugur, Levent [2 ]
Parlak, Ismail Enes [1 ]
机构
[1] Bursa Tech Univ, Fac Engn & Nat Sci, Dept Ind Engn, TR-16330 Bursa, Turkiye
[2] Amasya Univ, Fac Engn, Dept Mech Engn, TR-05100 Amasya, Turkiye
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 01期
关键词
AISI; 52100; response surface method; cutting parameters; FEM analysis; RESPONSE-SURFACE METHODOLOGY; WEDM PROCESS PARAMETERS; TOOL WEAR; MULTIOBJECTIVE OPTIMIZATION; MACHINING PARAMETERS; ENERGY-CONSUMPTION; ROUGHNESS; FORCES; MACHINABILITY; PERFORMANCE;
D O I
10.3390/app13010003
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this study, we aimed to optimize the cutting parameters that affect the minimum temperature and power consumption in the turning of AISI 52100 bearing steel. For this, the Box-Behnken experimental design method, which was used for the lowest number of experiments in the experimental systems created using the response surface method (RSM), was used. The cutting parameters affecting the turning of the AISI 52100 bearing steel were determined as the cutting speed, depth of cut, and feed rate based on a literature research. The temperature and power consumption values were obtained via analyses according to the experimental design method determined by the finite element analysis (FEM) method. The results obtained were analyzed in Design Expert 13 software. According to the analysis results, the parameter values were determined for the minimum temperature and power consumption. The temperature and power consumption variables were affected by all three parameters, namely the cutting speed, depth of cut, and feed rate. For the minimum temperature and power consumption, a cutting speed of 162.427 m/min, depth of cut of 1.395 mm, and feed rate of 0.247 mm/rev, as well as the feed rate parameters, affected both the temperature and power consumption the most. In addition, it was determined that the cutting speed parameter had the least effect on both the temperature and power consumption variables. In addition, validation experiments were carried out in a real experimental environment with optimum values for the cutting parameters. The results showed that the output values obtained within the limits of the study with the obtained equation were quite close (3.3% error for temperature, 6.6% error for power consumption) to the real experimental outputs.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Optimization of Transesterification of Chlorella protothecoides Oil to Biodiesel Using Box-Behnken Design Method
    Kumar, Mukesh
    Sharma, M. P.
    WASTE AND BIOMASS VALORIZATION, 2016, 7 (05) : 1105 - 1114
  • [32] Optimization of Manufacturing Parameters for Minimizing Vibrations and Surface Roughness in Milling Using Box-Behnken Design
    Fnides, Mohamed
    Amroune, Salah
    Slamani, Mohamed
    Elhadi, Abdelmalek
    Arslane, Mustapha
    Jawaid, Mohammad
    JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2025, 13 (01)
  • [33] Prediction Model for CNC Turning on AISI316 with Single and Multilayered Cutting tool Using Box Behnken Design
    Chandrasekaran, K.
    Marimuthu, P.
    Raja, K.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2013, 26 (04): : 401 - 410
  • [34] Modeling and optimization of operating parameters for abrasive waterjet turning alumina ceramics using response surface methodology combined with Box-Behnken design
    Liu, Dun
    Huang, Chuanzhen
    Wang, Jun
    Zhu, Hongtao
    Yao, Peng
    Liu, ZengWen
    CERAMICS INTERNATIONAL, 2014, 40 (06) : 7899 - 7908
  • [35] Application of the Box-Behnken design to the optimization of process parameters in foam cup molding
    Wu, Long
    Yick, Kit-lun
    Ng, Sun-pui
    Yip, Joanne
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (09) : 8059 - 8065
  • [36] Analysis and optimization on the biodegradable plate making process parameters using RSM-based Box-Behnken Design method
    Maheswari, C.
    Ramya, A. S.
    Priya, B. Meenakshi
    Sudhahar, S.
    Prabhu Raj, B.
    Lokesh, B.
    Ramani, G.
    JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT, 2021, 23 (06) : 2255 - 2265
  • [37] Optimization of removal of toluene from industrial wastewater using RSM Box-Behnken experimental design
    Jafari, Dariush
    Esfandyari, Morteza
    Mojahed, Mehdi
    SUSTAINABLE ENVIRONMENT RESEARCH, 2023, 33 (01)
  • [38] Optimization of gallic acid encapsulation in calcium alginate microbeads using Box-Behnken Experimental Design
    Kamal Essifi
    Mohammed Lakrat
    Doha Berraaouan
    Marie-Laure Fauconnier
    Ali El Bachiri
    Abdesselam Tahani
    Polymer Bulletin, 2021, 78 : 5789 - 5814
  • [39] Optimization of photocatalytic degradation of rhodamine B using Box-Behnken experimental design: Mineralization and mechanism
    Madjene, Farid
    Assassi, Mirvet
    Chokri, Imene
    Enteghar, Tanina
    Lebik, Hafida
    WATER ENVIRONMENT RESEARCH, 2021, 93 (01) : 112 - 122
  • [40] Optimization of gallic acid encapsulation in calcium alginate microbeads using Box-Behnken Experimental Design
    Essifi, Kamal
    Lakrat, Mohammed
    Berraaouan, Doha
    Fauconnier, Marie-Laure
    El Bachiri, Ali
    Tahani, Abdesselam
    POLYMER BULLETIN, 2021, 78 (10) : 5789 - 5814