Research Design and Identification of the Project Methodology Solutions Using the Finite Element Method

Joint Conference on Green Engineering Technology & Applied Computing 2019

工业技术（总论）;计算机科学

Bianca Pop, Alina^1 ; Mihailu, Aurel^2^3 ; Ioan Pop, Gheorghe^4 ; Ceocea, Costel^5 ; Stefan, Titu^6

SC TEHNOCAD SA, Vasile Alecsandri Street 72, Baia Mare, Romania^1

Lucian Blaga University of Sibiu, Victoriei Street 10, Sibiu, Romania^2

Academy of Romanian Scientists, Splaiul Independenei, Sector 5 54, Bucharest, Romania^3

SC UNIVERSAL ALLOY CORPORATION EUROPE, 244A Principal Street, Dumbrvia, Romania^4

Vasile Alecsandri University of Bacu, Calea Mreti, Bacu

157, Romania^5

Oncology Institute prof. Dr. Ion Chiricua, 34-36 Republicii Street, Cluj-Napoca, Romania^6

关键词: Cutting conditions;    Material modeling;    Methodical designs;    Optimal solutions;    Process parameters;    Process Variables;    Research frameworks;    Time requirements;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/551/1/012130/pdf
DOI  :  10.1088/1757-899X/551/1/012130

来源: IOP

【 摘 要 】

The anticipation of the process variables (temperature, cutting forces, and stress distribution) plays an important role in the tool geometry design and cutting conditions optimization. The researchers found that the anticipation of these variables experimentally is costly both from a time requirement and financial point of view. Having this information, the finite element model becomes the most favourable alternative and most useful in all aspects. Existing Empirical models are very useful in demonstrating these matters, but if tests have not been carried out to create these models types, then it brings benefits in the improvement specifically to the process itself. This paper is focus to conduct the research and discover a methodical design solution based on the finite element method. This entails defining the input data used within the research framework, including: application type, finite element analysis, material model, and, of course, choosing the process parameters. After determining the input data, following the completion of the theoretical models of the experiment, respecting the finite element model, the output will take into account the final results of the selected research. In order to obtain optimal solutions and to increase the precision and accuracy of the obtained results, it is necessary to validate this using the experiment.