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Mojtaba Zolfaghari

Mojtaba Zolfaghari

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35200092900
Faculty: Engineering
Address: Arak University
Phone:

Research

Title
Optimization of Effective Parameters on the Nano-scale Cutting Process of Monocrystalline Copper Using Molecular Dynamic
Type
JournalPaper
Keywords
Nano-machining Molecular dynamics simulation Orthogonal nanometric cutting Response surface method Optimization
Year
2020
Journal Journal of Stress Analysis
DOI
Researchers Mohammad Mahdi Abaie ، Mojtaba Zolfaghari ، Vahid Tahmasbi ، Peyman Karimi

Abstract

Machining in the scale of nanometer and investigating its behavior is premier in the field of machining. Molecular dynamics is a new robust tool to investigate controlling mechanisms in atomic scales, complex dislocation, and grain-boundary in severely deformed workpieces with the submicron dimensioning; consequently, process simulation was performed by molecular dynamics method. In this study, some useful parameters of tool geometry in orthogonal cutting of monocrystalline copper were investigated. With this end in view, relief angle, rake angle, and tooltip radius were considered as influential geometrical parameters of orthogonal cutting of monocrystalline copper. By using the Response Surface Method (RSM), the variation effect of input parameters was studied on the cutting output parameters like cutting force, temperature, and hydrostatic stress all in nanometer precision. Furthermore, with mathematical modeling using a second-order linear regression equation fitted to the process outputs, single objective and multi-objective optimization of the cutting process was followed.