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

[21] Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and topsis
Tripathy, S.
Tripathy, D. K.
MACHINING SCIENCE AND TECHNOLOGY, 2017, 21 (03) : 362 - 384
[22] The method of grey-fuzzy logic for optimizing multi-response problems during the manufacturing process: a case study of the light guide plate printing process
Nun-Ming Liu
Jenn-Tsong Horng
Ko-Ta Chiang
The International Journal of Advanced Manufacturing Technology, 2009, 41 : 200 - 210
[23] Multi-Response Optimization by Using the Hybrid Technique in Electro Discharge Machining of AISI 304
Bhaumik, Munmun
Maity, Kali Pada
INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2016, 26 : 68 - 75
[24] Multi-characteristic optimization of wax patterns in the investment casting process using grey-fuzzy logic
Pattnaik, Sarojrani
Karunakar, D. B.
Jha, P. K.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 67 (5-8): : 1577 - 1587
[25] Multi-response optimization of WEDM parameters on machining 16MnCr5 alloy steel using Taguchi technique
Saini, Tushar
Goyal, Khushdeep
Bhandari, Deepak
MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN, 2019, 2 (01) : 35 - 47
[26] Multi-response optimization of WEDM parameters on machining 16MnCr5 alloy steel using Taguchi technique
Tushar Saini
Khushdeep Goyal
Deepak Bhandari
Multiscale and Multidisciplinary Modeling, Experiments and Design, 2019, 2 : 35 - 47
[27] Multi-response optimization of machining parameter for Zircaloy by response surface methodology and grey relation analysis
Kumar, Jitendra
Soota, Tarun
MATERIALS TODAY-PROCEEDINGS, 2020, 21 : 1544 - 1550
[28] Optimization of Machining Process Parameters Using Grey Fuzzy Method
Reddy, Vajrala Venkata
Mandava, Ravi Kumar
Reddy, K. Srunivasulu
ADVANCEMENT IN MATERIALS, MANUFACTURING AND ENERGY ENGINEERING, VOL. II, ICAMME 2021, 2022, : 481 - 493
[29] Multi-objective optimization of green technology thermal drilling process using grey-fuzzy logic method
Kumar, R.
Hynes, N. Rajesh Jesudoss
Pruncu, Catalin Iulian
Sujana, J. Angela Jennifa
JOURNAL OF CLEANER PRODUCTION, 2019, 236
[30] Modeling and multi-response optimization of Inconel 718 on machining of CNCWEDM process
Ramakrishnan, R.
Karunamoorthy, L.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2008, 207 (1-3) : 343 - 349

← 1 2 3 4 5 →