PMID- 36080660
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220913
IS  - 2073-4360 (Electronic)
IS  - 2073-4360 (Linking)
VI  - 14
IP  - 17
DP  - 2022 Aug 30
TI  - Experimental Investigation and Optimization of Turning Polymers Using RSM, GA, 
      Hybrid FFD-GA, and MOGA Methods.
LID - 10.3390/polym14173585 [doi]
LID - 3585
AB  - The machining of polymers has become widely common in several components of 
      industry 4.0 technology, i.e., mechanical and structural components and chemical 
      and medical instruments, due to their unique characteristics such as: being 
      strong and light-weight with high stiffness, chemical resistance, and heat and 
      electricity insolation. Along with their properties, there is a need to attain a 
      higher quality surface finish of machined parts. Therefore, this research 
      concerns an experimental and analytical study dealing with the effect of process 
      parameters on process performance during the turning two different types of 
      polymers: high-density polyethylene (HDPE) and unreinforced polyamide (PA6). 
      Firstly, the machining output responses (surface roughness (Ra), material removal 
      rate (MRR), and chip formation (lambdac)) are experimentally investigated by varying 
      cutting speed (v(c)), feed rate (f), and depth of cut (d) using the full 
      factorial design of experiments (FFD). The second step concerns the statistical 
      analysis of the input parameters' effect on the output responses based on the 
      analysis of variance and 3D response surface plots. The last step is the 
      application of the RSM desirability function, genetic algorithm (GA), and hybrid 
      FFD-GA techniques to determine the optimum cutting conditions of each output 
      response. The lowest surface roughness for HDPE was obtained at v(c) = 50 m/min, 
      f = 0.01 mm/rev, and d = 1.47 mm and for PA6 it was obtained at v(c) = 50 m/min, 
      f = 0.01 mm/rev, and d = 1 mm. The highest material removal rate was obtained at 
      v(c) = 150 m/min, f = 0.01 mm/rev, and d = 1.5 mm for both materials. At f = 0.01 
      mm/rev, d = 1.5 mm, and v(c) = 100 for HDPE, and v(c) = 77 m/min for PA6, the 
      largest chip thickness ratios were obtained. Finally, the multi-objective genetic 
      algorithm (MOGA) methodology was used and compared.
FAU - Alateyah, Abdulrahman I
AU  - Alateyah AI
AUID- ORCID: 0000-0003-4503-2033
AD  - Department of Mechanical Engineering, College of Engineering, Qassim University, 
      Unaizah 56452, Saudi Arabia.
FAU - El-Taybany, Yasmine
AU  - El-Taybany Y
AD  - Department of Production Engineering and Mechanical Design, Port Said University, 
      Port Fouad 42526, Egypt.
FAU - El-Sanabary, Samar
AU  - El-Sanabary S
AUID- ORCID: 0000-0001-9829-3814
AD  - Department of Production Engineering and Mechanical Design, Port Said University, 
      Port Fouad 42526, Egypt.
FAU - El-Garaihy, Waleed H
AU  - El-Garaihy WH
AUID- ORCID: 0000-0002-7026-965X
AD  - Department of Mechanical Engineering, College of Engineering, Qassim University, 
      Unaizah 56452, Saudi Arabia.
AD  - Mechanical Engineering Department, Faculty of Engineering, Suez Canal University, 
      Ismailia 41522, Egypt.
FAU - Kouta, Hanan
AU  - Kouta H
AD  - Department of Production Engineering and Mechanical Design, Port Said University, 
      Port Fouad 42526, Egypt.
LA  - eng
PT  - Journal Article
DEP - 20220830
PL  - Switzerland
TA  - Polymers (Basel)
JT  - Polymers
JID - 101545357
PMC - PMC9459756
OTO - NOTNLM
OT  - ANOVA
OT  - GA
OT  - MOGA
OT  - MRR
OT  - RSM
OT  - chip formation
OT  - optimization
OT  - polymers
OT  - surface roughness
OT  - turning
COIS- The authors declare no conflict of interest.
EDAT- 2022/09/10 06:00
MHDA- 2022/09/10 06:01
PMCR- 2022/08/30
CRDT- 2022/09/09 01:30
PHST- 2022/08/01 00:00 [received]
PHST- 2022/08/19 00:00 [revised]
PHST- 2022/08/26 00:00 [accepted]
PHST- 2022/09/09 01:30 [entrez]
PHST- 2022/09/10 06:00 [pubmed]
PHST- 2022/09/10 06:01 [medline]
PHST- 2022/08/30 00:00 [pmc-release]
AID - polym14173585 [pii]
AID - polymers-14-03585 [pii]
AID - 10.3390/polym14173585 [doi]
PST - epublish
SO  - Polymers (Basel). 2022 Aug 30;14(17):3585. doi: 10.3390/polym14173585.