PMID- 34885362
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20211214
IS  - 1996-1944 (Print)
IS  - 1996-1944 (Electronic)
IS  - 1996-1944 (Linking)
VI  - 14
IP  - 23
DP  - 2021 Nov 26
TI  - Study of a Multicriterion Decision-Making Approach to the MQL Turning of AISI 304 
      Steel Using Hybrid Nanocutting Fluid.
LID - 10.3390/ma14237207 [doi]
LID - 7207
AB  - The enormous use of cutting fluid in machining leads to an increase in machining 
      costs, along with different health hazards. Cutting fluid can be used efficiently 
      using the MQL (minimum quantity lubrication) method, which aids in improving the 
      machining performance. This paper contains multiple responses, namely, force, 
      surface roughness, and temperature, so there arises a need for a multicriteria 
      optimization technique. Therefore, in this paper, multiobjective optimization 
      based on ratio analysis (MOORA), VIseKriterijumska Optimizacija I Kompromisno 
      Resenje (VIKOR), and technique for order of preference by similarity to ideal 
      solution (TOPSIS) are used to solve different multiobjective problems, and 
      response surface methodology is also used for optimization and to validate the 
      results obtained by multicriterion decision-making technique (MCDM) techniques. 
      The design of the experiment is based on the Box-Behnken technique, which used 
      four input parameters: feed rate, depth of cut, cutting speed, and nanofluid 
      concentration, respectively. The experiments were performed on AISI 304 steel in 
      turning with minimum quantity lubrication (MQL) and found that the use of hybrid 
      nanofluid (Alumina-Graphene) reduces response parameters by approximately 13% in 
      forces, 31% in surface roughness, and 14% in temperature, as compared to Alumina 
      nanofluid. The response parameters are analyzed using analysis of variance 
      (ANOVA), where the depth of cut and feed rate showed a major impact on response 
      parameters. After using all three MCDM techniques, it was found that, at fixed 
      weight factor with each MCDM technique, a similar process parameter was achieved 
      (velocity of 90 m/min, feed of 0.08 mm/min, depth of cut of 0.6 mm, and 
      nanoparticle concentration of 1.5%, respectively) for optimum response. The above 
      stated multicriterion techniques employed in this work aid decision makers in 
      selecting optimum parameters depending upon the desired targets. Thus, this work 
      is a novel approach to studying the effectiveness of hybrid nanofluids in the 
      machining of AISI 304 steel using MCDM techniques.
FAU - Dubey, Vineet
AU  - Dubey V
AUID- ORCID: 0000-0002-8386-1126
AD  - Centre for Advanced Studies, Dr. A.P.J Abdul Kalam Technical University, Lucknow 
      226031, India.
FAU - Sharma, Anuj Kumar
AU  - Sharma AK
AUID- ORCID: 0000-0003-2680-4720
AD  - Centre for Advanced Studies, Dr. A.P.J Abdul Kalam Technical University, Lucknow 
      226031, India.
FAU - Vats, Prameet
AU  - Vats P
AD  - Centre for Advanced Studies, Dr. A.P.J Abdul Kalam Technical University, Lucknow 
      226031, India.
FAU - Pimenov, Danil Yurievich
AU  - Pimenov DY
AUID- ORCID: 0000-0002-5568-8928
AD  - Department of Automated Mechanical Engineering, South Ural State University, 
      Lenin Prosp. 76, 454080 Chelyabinsk, Russia.
FAU - Giasin, Khaled
AU  - Giasin K
AUID- ORCID: 0000-0002-3992-8602
AD  - School of Mechanical and Design Engineering, University of Portsmouth, Portsmouth 
      PO1 3DJ, UK.
FAU - Chuchala, Daniel
AU  - Chuchala D
AUID- ORCID: 0000-0001-6368-6810
AD  - Faculty of Mechanical Engineering and Ship Technology, Gdansk University of 
      Technology, 80-233 Gdansk, Poland.
LA  - eng
PT  - Journal Article
DEP - 20211126
PL  - Switzerland
TA  - Materials (Basel)
JT  - Materials (Basel, Switzerland)
JID - 101555929
PMC - PMC8658720
OTO - NOTNLM
OT  - AISI 304 steel
OT  - lubrication
OT  - machining
OT  - minimum quantity lubrication (MQL)
OT  - nanofluids
OT  - optimization
OT  - temperature
OT  - turning
OT  - wear
COIS- The authors declare no conflict of interest.
EDAT- 2021/12/11 06:00
MHDA- 2021/12/11 06:01
PMCR- 2021/11/26
CRDT- 2021/12/10 01:06
PHST- 2021/10/31 00:00 [received]
PHST- 2021/11/22 00:00 [revised]
PHST- 2021/11/23 00:00 [accepted]
PHST- 2021/12/10 01:06 [entrez]
PHST- 2021/12/11 06:00 [pubmed]
PHST- 2021/12/11 06:01 [medline]
PHST- 2021/11/26 00:00 [pmc-release]
AID - ma14237207 [pii]
AID - materials-14-07207 [pii]
AID - 10.3390/ma14237207 [doi]
PST - epublish
SO  - Materials (Basel). 2021 Nov 26;14(23):7207. doi: 10.3390/ma14237207.