An MCDM approach for multi-response optimisation of machining parameters in turning of EN8 steel (AISI-1040) for sustainable manufacturing

被引:7
作者
Shaikh, Mohd Bilal Naim [1 ]
Ali, Mohammed [1 ]
Khan, Zahid A. A. [2 ]
Asjad, Mohammad [2 ]
机构
[1] Aligarh Muslim Univ, Dept Mech Engn, Aligarh 202002, India
[2] Jamia Millia Islamia, Dept Mech Engn, New Delhi 110025, India
来源
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM | 2023年 / 17卷 / 06期
关键词
Multi-criteria decision-making method; Turning; Cutting force; Surface roughness; MRR; Noise; ANOM; MULTI-OBJECTIVE OPTIMIZATION; PROXIMITY INDEXED VALUE; DECISION-MAKING MCDM; SURFACE-ROUGHNESS; CUTTING FORCE; ENERGY-CONSUMPTION; TAGUCHI; PERFORMANCE; PREDICTION; TOPSIS;
D O I
10.1007/s12008-023-01368-8
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The study aims to obtain a sustainable solution in terms of material removal rate (MRR, cm(3)/min), surface roughness (Ra, mu m), resultant cutting force (F, Newton), and noise level (NL, dBA) as performance measures to improve sustainability in turning process using an integrated MEREC-PIV multi-criteria decision-making (MCDM) method based on L27 orthogonal array (OA) experimental design with three input parameters, i.e., cutting speed (A, 250, 300 & 350 m/min), depth of cut (B, 0.1, 0.3 & 0.5 mm), and feed rate (C, 0.05, 0.25 & 0.45 mm/rev). S/N ratio and ANOM based analysis are also utilized to determine the optimal process parameters for the cumulative target. MEREC based criteria weighting analysis indicates that MRR is the most significant performance measure for the considered domain of input parameters, followed by Ra, F, and NL. The PIV approach, S/N ratio analysis, and ANOM show that the best sustainable alternative is input parameter combination A3B3C3, which is 350 m/min, 0.5 mm, and 0.45 mm/rev. ANOM results show that all four performance measures are highly susceptible to feed rate followed by the depth of cut and cutting speed. ANOVA results reveal that all three input parameters and the feed-depth of cut interaction affect the response significantly. The confirmatory test confirms the optimal input parameter settings.
引用
收藏
页码:3159 / 3176
页数:18
相关论文
共 78 条
[1]   Predicting the dynamic behaviour of the turning tool vibrations using an experimental measurement, numerical simulation and analytical modelling for comparative study [J].
Abainia, Sadredine ;
Ouelaa, Nouredine .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 115 (7-8) :2533-2552
[2]   Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel [J].
Abbas, Adel Taha ;
Gupta, Munish Kumar ;
Soliman, Mahmoud S. ;
Mia, Mozammel ;
Hegab, Hussein ;
Luqman, Monis ;
Pimenov, Danil Yurievich .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 105 (1-4) :1311-1327
[3]  
Aires Renan Felinto de Farias, 2018, Pesqui. Oper., V38, P331
[4]   Modeling of Cutting Force in the Turning of AISI 4340 Using Gaussian Process Regression Algorithm [J].
Alajmi, Mahdi S. ;
Almeshal, Abdullah M. .
APPLIED SCIENCES-BASEL, 2021, 11 (09)
[5]   Extended model for selection of optimum turning conditions based on minimum energy considerations [J].
Alswat, Haitham M. ;
Mativenga, Paul T. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2023, 237 (13) :2033-2046
[6]   Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method [J].
Asilturk, Ilhan ;
Cunkas, Mehmet .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (05) :5826-5832
[7]  
Asjad Mohammad, 2018, International Journal of Advanced Operations Management, V10, P109
[8]   Energy and cost integration for multi-objective optimisation in a sustainable turning process [J].
Bagaber, Salem Abdullah ;
Yusoff, Ahmad Razlan .
MEASUREMENT, 2019, 136 :795-810
[9]   Application of integrated Taguchi and TOPSIS method for optimization of process parameters for dimensional accuracy in turning of EN25 steel [J].
Balasubramaniyan, Singaravel ;
Selvaraj, Thangiah .
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2017, 40 (04) :267-274
[10]  
Bauccio Michael, 1993, ASM METALS REFERENCE, Vthird