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Machinability investigation during turning of polyoxymethylene POM-C and optimization of cutting parameters using Pareto analysis, linear regression and genetic algorithm

Autorzy
Hakmi Tallal , Hamdi Amine , Touggui Youssef , Laouissi Aissa , Belhadi Salim , Yallese Mohamed A.
Treść / Zawartość
Pełne teksty:
AME_2024_149184.pdf
Identyfikatory
DOI
10.24425/ame.2024.149184
Języki publikacji
EN
Abstrakty
EN
This paper presents a study on the dry turning of polyoxymethylene copolymer POM-C. The effect of five factors (cutting speed, feed rate, depth of cut, nose radius, and main cutting edge angle) on machinability is evaluated using four output parameters: surface roughness, tangential force, cutting power, and material removal rate. To do so, the study relies on three approaches: (i) Pareto statistical analysis, (ii) multiple linear regression modeling, and (iii) optimization using the genetic algorithm. To conduct the investigation, mathematical models are developed using response surface methodology based on the Taguchi 𝐿16 orthogonal array. The results indicate that feed rate, nose radius, and cutting edge angle significantly influence surface quality, while depth of cut, feed, and speed have a notable impact on other machinability parameters. The developed mathematical models have determination coefficients greater than or very close to 95%, making them very useful for the industry as they allow predicting response values based on the chosen cutting parameters. Finally, the optimization using the genetic algorithm proves to be promising and effective in determining the optimal cutting parameters to maximize productivity while improving surface quality.
Słowa kluczowe
EN
PL
Wydawca
Komitet Budowy Maszyn PAN
Czasopismo
Archive of Mechanical Engineering
Rocznik
2024
Tom
LXXI, nr 1
Strony
47--71
Opis fizyczny
Bibliogr. 44 poz., tab., wykr., rys.
Twórcy
autor
Hakmi Tallal
  • Laboratory of Mechanical Engineering, Materials and Structures, Tissemsilt University, Algeria
autor
Hamdi Amine
  • Laboratory of Mechanical Engineering, Materials and Structures, Tissemsilt University, Algeria
autor
Touggui Youssef
  • Applied Mechanics and Energy Systems Laboratory, Faculty of Applied Sciences, Kasdi Merbah Ouargla University, Algeria
  • Mechanics and Structures Research Laboratory (LMS), Guelma, Algeria
autor
Laouissi Aissa
  • Mechanics Research Centre, Constantine, Algeria
autor
Belhadi Salim
  • Mechanics and Structures Research Laboratory (LMS), Guelma, Algeria
autor
Yallese Mohamed A.
  • Mechanics and Structures Research Laboratory (LMS), Guelma, Algeria
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Identyfikator YADDA
bwmeta1.element.baztech-e23d996f-bb94-4e3d-a0b8-88bf1ec8a48a