Multi-Response Optimization in MQLC Machining Process of Steel St50-2 Using Grey-Fuzzy Technique

被引：4

作者：

Dragicevic, Mario ^{[1
]}

Begovic, Edin ^{[1
]}

Ekinovic, Sabahudin ^{[1
]}

Peko, Ivan ^{[2
]}

机构：

[1] Univ Zenica, Fac Mech Engn, Fak 1, Zenica 72000, Bosnia & Herceg

[2] Univ Split, Fac Sci, Rudera Boskovica 33, Split 21000, Croatia

来源：

TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2023年 / 30卷 / 01期

关键词：

grey relational analysis; fuzzy logic; MQLC system; multi-response optimization; steel; SURFACE INTEGRITY;

D O I：

10.17559/TV-20220222080715

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper MQLC turning process of steel St 50-2 is presented. Experimentations were performed using Taguchi L9 orthogonal array by varying two process parameters such as oil and water quantity while other parameters such as cutting speed, feed rate and depth of cut were kept constant. Process responses that were analyzed in this paper are surface roughness Ra and resultant cutting force Frez. In order to quantify significance of each process parameter on analyzed response ANOVA was conducted. Fuzzy logic modelling technique was used to describe the effects of process parameters and to create response surface plots. Finally, in order to find out process parameters values that lead simultaneously to optimal surface roughness and resultant cutting force, multi-objective optimization of process responses was conducted by using grey relational analysis (GRA) combined with fuzzy logic technique.

引用

页码：248 / 255

页数：8

共 50 条

[1] Modelling and multi-response optimization of wire electric discharge machining parameters using response surface methodology and grey-fuzzy algorithm
Choudhuri, Bikash
Sen, Ruma
Ghosh, Subrata Kumar
Saha, Subhash Chandra
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2017, 231 (10) : 1760 - 1774
[2] Multi-response optimization of machining characteristics in ultrasonic machining of WC-Co composite through Taguchi method and grey-fuzzy logic
Singh, Ravi Pratap
Kataria, Ravinder
Kumar, Jatinder
Verma, Jagesvar
AIMS MATERIALS SCIENCE, 2018, 5 (01) : 75 - 92
[3] Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach
Dewangan, Shailesh
Gangopadhyay, Soumya
Biswas, Chandan Kumar
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2015, 18 (03): : 361 - 368
[4] Application of grey-fuzzy approach in parametric optimization of EDM process in machining of MDN 300 steel
Das, Partha Protim
Gupta, P.
Das, S.
Pradhan, B. B.
Chakraborty, S.
8TH TSME-INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING (TSME-ICOME 2017), 2018, 297
[5] Multi Response Optimization of Laser Micro Marking Process:A Grey-Fuzzy Approach
Shivakoti, I.
Das, P. P.
Kibria, G.
Pradhan, B. B.
Mustafa, Z.
Ghadai, R. K.
INTERNATIONAL CONFERENCE ON MATERIALS TECHNOLOGY AND ENERGY (ICMTE), 2017, 217
[6] Optimization of EDM process using grey-fuzzy approach
Rodic, Dragan
Gostimirovic, Marin
Sekulic, Milenko
Batinic, Branislav
Lakovic, Nikola
2020 ZOOMING INNOVATION IN CONSUMER TECHNOLOGIES CONFERENCE (ZINC), 2020, : 307 - 312
[7] Multi-Objective Optimization of Wire Electro Discharge Machining (WEDM) Process Parameters Using Grey-Fuzzy Approach
Das, Partha Protim
Diyaley, Sunny
Chakraborty, Shankar
Ghadai, Ranjan Kumar
PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING, 2019, 63 (01): : 16 - 25
[8] Multi-response optimization of machining parameters in hot turning using grey analysis
Ranganathan, S.
Senthilvelan, T.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 56 (5-8): : 455 - 462
[9] Multi-response optimization of machining parameters in hot turning using grey analysis
S. Ranganathan
T. Senthilvelan
The International Journal of Advanced Manufacturing Technology, 2011, 56 : 455 - 462
[10] Fuzzy based multi-response optimization: a case study on EDM machining process
Sahu, Jambeswar
Shrivastava, Sonam
SN APPLIED SCIENCES, 2021, 3 (07):

← 1 2 3 4 5 →