IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v5y2020i5id61941.html

A Study on Roughness of Workpiece Surface When Centreless Grinding of SAE1045 Steel

Author

Listed:
  • Le Hong ky

    (Vinh Long University of Technology Education, Vietnam)

Abstract

This paper presents a study of roughness of surface of centreless grinding workpiece with horizontal feed. The testing material used in this study is SAE1045 steel. This study was conducted with three main contents. The first one is an experimental study that determines the impact of dressing feed rate, depth of dressing, horizontal feed rate and the velocity of control wheel to roughness of workpiece surface. The second one is to build the roughness model of workpiece surface by the response surface method. The third one is to use the roughness model to predict the surface roughness, and compare with roughness value when testing. The issues that need to be carried out in subsequent studies have also been mentioned in this paper.

Suggested Citation

  • Le Hong ky, 2020. "A Study on Roughness of Workpiece Surface When Centreless Grinding of SAE1045 Steel," European Journal of Engineering and Technology Research, European Open Science, vol. 5(5), pages 594-598, May.
    • Handle: RePEc:epw:ejeng0:v:5:y:2020:i:5:id:61941
    DOI: 10.24018/ejeng.2020.5.5.1941
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/61941
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/61941/12407
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2020.5.5.1941?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:5:y:2020:i:5:id:61941. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.