AN INVESTIGATION OF ULTRASONIC VIBRATIONS EFFECT ON SURFACE ROUGHNESS IN ALUMINUM 7075 AND AISI 1045 CARBON STEEL DURING END MILLING AND SIDE MILLING OPERATION

被引:2
|
作者
Fardnam, A. Pourdadash [1 ]
Shalvandi, M. [1 ]
Haddad, F. [1 ]
机构
[1] Univ Tabriz, Mech Engn Dept, Tabriz 5166616471, Iran
关键词
Vibrational milling; surface roughness; side cutting; 7075 aluminum alloy;
D O I
10.1142/S0218625X22500846
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Milling is one of the discontinuous machining methods which makes tools contact with workpiece continuously along with the regular change of shear force. Providing strong materials for fabricating the required pieces challenge machining and producing complex shapes. Therefore, operations intended for reducing machining forces as well as increasing the final surface smoothness are remarkably important of which using ultrasonic vibrations is one method. This study centers on ultrasonic vibration-assisted milling operation. The required ultrasonic vibrations are applied using a transducer to an AISI 1045 steel workpiece and a 7075 aluminum. Also, by using an arithmetic modal analysis simulation on the related workpiece and fixture, the designing process was performed in a way to equate the natural frequency of the whole set to that of the ultrasonic transducer. The resonant frequency obtained for the steel and aluminum workpieces was 19840 and 19757 Hz, respectively, and the milling operation was done by applying ultrasonic vibrations to the workpiece. The results obtained from surface roughness measurement indicated that an increase in the ultrasonic intensity from 15W/cm(2) to 22.5W/cm(2) in the aluminum workpiece resulted in improved surface roughness (R-z ) by 70%. In addition, an increase in the ultrasonic intensity from 15W/cm(2) to 22.5W/cm(2) improved the surface smoothness (R-a) by 72%. Moreover, concerning the steel workpiece while the tool is perpendicular to the direction ahead of the workpiece, it was clear that applying 22.5W/cm(2) ultrasonic vibrations to the end-milled surfaces resulted in an approximate increase in the average and maximum surface smoothness by 53% and 45%, respectively. Furthermore, applying 30W/cm(2) ultrasonic vibrations to face-milled surfaces, either perpendicular to or parallel to the tool, led to an approximate increase in the average and maximum surface smoothness by 35% and 25%, respectively.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Experimental investigation of cutting force, surface roughness and tool wear in high-speed dry milling of AISI 4340 steel
    Guangming Zheng
    Xiang Cheng
    Li Li
    Rufeng Xu
    Yebing Tian
    Journal of Mechanical Science and Technology, 2019, 33 : 341 - 349
  • [42] Robust optimisation of surface roughness of AISI H13 hardened steel in the finishing milling using ball nose end mills
    Arruda, Etory Madrilles
    de Paiva, Anderson Paulo
    Brandao, Lincoln Cardoso
    Ferreira, Joao Roberto
    PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2019, 60 : 194 - 214
  • [43] Experimental investigation during end milling of AISI D2 tool steel using AlCrN coated tool
    Patel, Ravikumar D.
    Bhavsar, Sanket N.
    MATERIALS TODAY-PROCEEDINGS, 2020, 22 : 2647 - 2656
  • [44] Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel
    Hafiz, A. M. K.
    Amin, A. K. M. N.
    Karim, A. N. M.
    Lajis, M. A.
    2007 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4, 2007, : 1868 - +
  • [45] Experimental investigation of cryogenic cooling on cutting force, surface roughness and tool wear in end milling of hardened AISI D3 steel using uncoated tool
    Ravi, S.
    Gurusamy, P.
    MATERIALS TODAY-PROCEEDINGS, 2020, 33 : 3314 - 3318
  • [46] A HYBRID ENSEMBLE LEARNING MODEL FOR EVALUATING THE SURFACE ROUGHNESS OF AZ91 ALLOY DURING THE END MILLING OPERATION
    Jha, Panchanand
    Shaikshavali, G.
    Shankar, M. Gowri
    Ram, M. Dinesh Sai
    Bandhu, Din
    Saxena, Kuldeep K.
    Buddhi, Dharam
    Agrawal, Manoj Kumar
    SURFACE REVIEW AND LETTERS, 2025, 32 (04)
  • [47] A HYBRID ENSEMBLE LEARNING MODEL FOR EVALUATING THE SURFACE ROUGHNESS OF AZ91 ALLOY DURING THE END MILLING OPERATION
    Jha, Panchanand
    Shaikshavali, G.
    Shankar, M. Gowri
    Ram, M. Dinesh Sai
    Bandhu, Din
    Saxena, Kuldeep K.
    Buddhi, Dharam
    Agrawal, Manoj Kumar
    SURFACE REVIEW AND LETTERS, 2023,
  • [48] Effect of machining parameters on average surface roughness during computer numerical controlled dry milling of high strength AISI 420 martensitic stainless steel
    George, Pramod
    Selvaraj, Philip D.
    Dhas, D. S. Ebenezer Jacob
    George, Pradeep
    ENGINEERING RESEARCH EXPRESS, 2024, 6 (03):
  • [49] Investigation of the effect of cutting speed on the Surface Roughness parameters in CNC End Milling using Artificial Neural Network
    Al Hazza, Muataz H. F.
    Adesta, Erry Y. T.
    5TH INTERNATIONAL CONFERENCE ON MECHATRONICS (ICOM'13), 2013, 53
  • [50] Effect of machining parameters on surface quality and delamination of carbon/glass/epoxy hybrid composite material during end milling operation
    Saghir, Qaiser
    Shah, Atta Ur Rehman
    Afaq, S. Kamran
    Ahmed, Tanveer
    Song, Jung-il
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2023, 37 (05) : 2319 - 2324