Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
A non-traditional method of thermal machining called wire electrical discharge machining (WEDM) is utilized for the production of intricate and complex components, particularly those composed of difficult-to-machine materials. Stainless steel has gained widespread usage in various applications in contemporary industry owing to its exceptional properties. In this present investigation, a numerical 3D finite element modeling simulation was conducted using the ABAQUS software to analyze the Material Removal Rates (MRR) for both single and multi-discharge scenarios of AISI 304 stainless steel. The findings indicate a close correspondence between the MRR values predicted by the numerical modeling and those obtained experimentally corresponding to the optimal process parameters: I = 6 A, Ton = 45 μs, and Toff = 5 μs. Hence, this numerical approach offers the potential to forecast outcomes before actual machining operations.
Wydawca
Czasopismo
Rocznik
Tom
Strony
57--64
Opis fizyczny
Bibliogr. 26 poz., rys., tab., wykr.
Twórcy
autor
- Produc-tion & Mechanical Design Engineering Department, Faculty of Engineering, Mansoura University, Egypt
- Faculty of Engineering, New Mansoura University, Egypt
Bibliografia
- Bialo D., Peronczyk J., and Skalski A., (2018). Applications of metallic composites in the automotive industry and their machining by the EDM. Journal of KONES Powertrain and Transport, 1(1), DOI: 10.5604/01.3001.0012.2440.
- Bobbili R., Madhu V., and Gogia A. (2015). Multi response optimization of wire-EDM process parameters of ballistic grade aluminium alloy. Engineering Science and Technology, an International Journal, 18(4), 720–726, DOI: 10.1016/j.jestch.2015.05.004.
- Boipai B. (2014). FEM analysis for WEDM process. Master’s degree Thesis, National Institute of Technology, Rourkela – 769008.
- Datta S., and Mahapatra S., (2010). Modeling, simulation and parametric optimization of wire EDM process using response surface methodology coupled with grey-Taguchi technique. International Journal of Engineering, Science and Technology, 2(5), 162–183, DOI: 10.4314/ijest.v2i5.60144.
- Ebisu T., Kawata A., Okamoto Y., Okada A., and Kurihara H., (2018). Influence of Jet Flushing on Corner Shape Accuracy in Wire EDM. Procedia CIRP, 68, 104–108, DOI: 10.1016/j.procir.2017.12.031.
- El-Bahloul, S.A. (2020). Optimization of wire electrical discharge machining using statistical methods coupled with artificial intelligence techniques and soft computing. SN Applied Sciences, 2(1), 1–8, DOI: 10.1007/s42452-019-1849-6.
- El-Bahloul, S.A., El-Shourbagy, H.E., El-Bahloul, A.M., and El-Midany, T.T. (2018). Experimental and Thermo-Mechanical Modeling Optimization of Thermal Friction Drilling for AISI 304 Stainless steel. CIRP Journal of Manufacturing Science and Technology, 20, 84–92.
- El-Bahloul, S.A., and Elkhateeb, M.G. (2023). Wire Deflection Investigation during WEDM of AISI 304 Stainless Steel: An Experimental and Numerical Study. Mansoura Engineering Journal, 48(6), DOI: 10.58491/2735-4202.3080.
- El-Bahloul, S.A., and Mostafa, R. (2021). Experimental and Statistical Optimization Of Wire- EDM For Hipped (HIP) Udimet700. International Journal of Mechanical & Mechatronics Engineering IJMMEIJENS, 21(01).
- El-Mahalawy, M.M., Samuel, M., Fouda, N., and Elbahloul, S.A. (2021). Investigating the Effect of Wire Electrical Discharge Machining Factors for Ductile Cast Iron ( ASTM A536 ). International Journal of Industrial Engineering & Production Research. 32(2), 1–10, DOI: 10.22068/ijiepr.32.2.1.
- Ho, C.C., Chang, Y.J., Hsu, J.C., Kuo, C.L., Kuo, S.K., and Lee, G.H. (2016). Residual strain measurement using wire EDM and DIC in aluminum. Inventions, 1(1), DOI: 10.3390/inventions1010004.
- Ibrahim, I.R., Khedr, M., Mahmoud, T.S., Abdel-Aleem, H.A., and Hamada, A. (2021). Study on the mechanical performance of dissimilar butt joints between low Ni medium-Mn and Ni-Cr austenitic stainless steels processed by gas tungsten arc welding. Metals (Basel), 11(9), DOI: 10.3390/met11091439.
- Joshi, S.N. and Pande, S.S. (2010). Thermo-physical modeling of die-sinking EDM process. Journal of Manufacturing Process, 12(1), 45–56, DOI: 10.1016/j.jmapro.2010.02.001.
- Khedr, M., Ibrahim, R., Jaskari, M., Ali, M., AbdelAleem, H., Mahmoud, T., and Hamada, A. (2023). Microstructural Evolution and Mechanical Performance of Two Joints of Medium-Mn Stainless Steel with Low- and High-Alloyed Steels. Materials, 16(4), DOI: 10.3390/ma16041624.
- Kumar, A., Kumar, D., and Maity, K.P. (2014). Numerical Modeling of Wire Electrical Discharge Machining of Super alloy Inconel 718. Procedia Engineering, 97, 1512–1523, DOI: 10.1016/j.proeng.2014.12.435.
- Kumar, A., Soota, T., and Kumar, J. (2018). Optimisation of wire-cut EDM process parameter by Greybased response surface methodology. Journal of Industrial Engineering International, 14(4), 821–829, DOI: 10.1007/s40092-018-0264-8.
- Maradia, U. and Wegener, K. (2015). EDM Modelling and Simulation. Book Chapter: 3, Nova Science Publishers.
- Mythili, T., and Thanigaivelan, R. (2020). Optimization of wire EDM process parameters on Al6061/Al2O3 composite and its surface integrity studies. Bulletin of the Polish Academy of Sciences: Technical Sciences, 68(6), 1403–1412, DOI: 10.24425/bpasts.2020.135382.
- Okada, A., Konishi, T., Okamoto, Y., and Kurihara, H. (2015). Wire breakage and deflection caused by nozzle jet flushing in wire EDM. CIRP Annals Manufacturing Technology, 64(1), 233–236, DOI: 10.1016/j.cirp.2015.04.034.
- Patel, I., and Powar, P. (2018). Fem Analysis With Experimental Results To Study Effect of Edm Parameters on Mrr of Aisi 1040 Steel. International Research Journal of Engineering and Technology, 05(09), 1332–1341.
- Pradhan, M.K. (2010). Modeling and Simulation of Thermal Stress in Electrical Discharge Machining Process. 4th International Conference on Advances in Mechanical Engineering, S.V.N.I.T, Surat, India, pp. 360–364.
- Priyan, M., Swin, W., Anand, V., Kelvin, P., Siva, V., (2016). Investigation of Surface Roughness and MRR on Stainless Steel Machined by Wire EDM. International Journal of Engineering Research, 5(03), 66–72, DOI: 10.17577/ijertv5is030114.
- Sen, R., Choudhuri, B., Barma, J.D., and Chakraborti, P. (2018). Optimization of wire EDM parameters using teaching learning based algorithm during machining of maraging steel 300. Materials Today. Proceedings, 5(2), 7541–7551, DOI: 10.1016/j.matpr.2017.11.426.
- Shahane, S., and Pande, S.S. (2016). Development of a Thermo-Physical Model for Multi-spark Wire EDM Process. Procedia Manufacturing, 5, 205–219, DOI: 10.1016/j.promfg.2016.08.019.
- Sivaram, A.R., Vinoth, V. Kumar, Umanath, K., Sarathkumar, P., and Rajavel, R. (2017). Optimization of machining parameters in wire cut edm usingtaguchi techniques. Journal of Advanced Research in Dynamical and Control Systems, 9(2) Special Issue, 883–897.
- Zhang, S., Zhang, W., Wang, P., Liu, Y., Ma, F., Yang, D., and Sha, Z. (2019). Simulation of material removal process in EDM with composite tools. Advances in Materials Science and Engineering, DOI: 10.1155/2019/1321780.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f4862907-e11c-4026-9e9d-027ac66a1083
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