Forthcoming and Online First Articles

International Journal of Abrasive Technology

International Journal of Abrasive Technology (IJAT)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Abrasive Technology (3 papers in press)

Regular Issues

  • Study on Cutting Forces in Zero-cutting after Completely Stop of Feed Motion when face milling of Alloy 718   Order a copy of this article
    by Shinpei Tanaka, Ryutaro TANAKA, Katsuhiko Sekiya, Keiji Yamada 
    Abstract: The cutting forces after the feed motion started to decelerate was investigated to establish a novel method to evaluate the friction characteristic between cutting tool and work material. The cutting force component in cutting direction Ft and that in the direction at right angle to cutting direction Fn decreased with the deceleration of feed speed and then showed almost constant in zero-cutting. In zero-cutting, the repeatability of wave form of cutting force was high and visually chips were not found. Because the contact was in the friction state without chip formation, the average cutting force rate Ft?/Fn? in zero-cutting could be defined as coefficient of friction. Therefore, a user can easily evaluate the friction characteristic of tool-work material and set appropriate cutting conditions. Comparing the average cutting force rate in zero-cutting of alloy 718, the emulsion 10% caused smaller average cutting force rate than dry condition.
    Keywords: intermittent cutting; feed motion; uncut chip thickness; cutting force; zero-cutting; elastic deformation; friction characteristic; coefficient of friction.
    DOI: 10.1504/IJAT.2023.10052374
     
  • Effects of Scale differences of Microscopic Texture of Fine Particle Peened Surface on Adhesion Behavior of Powders   Order a copy of this article
    by Hikaru Suzumoto, Yutaka Kameyama, Hideaki Sato, Ryokichi Shimpo 
    Abstract: Texture on the substrate possibly alters powder adhesion behaviour. As anti-adhesion performance was enhanced under the appropriate combination of texture size and powder size, we assumed
    Keywords: shot peening; fine particle peening; FPP; powder adhesion; anti-adhesion; powder detachment; surface texture; surface roughness; dimple.
    DOI: 10.1504/IJAT.2023.10052603
     
  • An investigation on tool wear rate in the electrical discharge face grinding process for the machining of Monel 400   Order a copy of this article
    by Akshat Srivastava Kulshrestha, MANDEEP SINGH, DEEPAK RAJENDRA UNUNE, ASHOK KUMAR DARGAR 
    Abstract: This paper attempts to model the electrical discharge face grinding (EDFG) process, while machining the Monel 400 superalloy, using the response surface methodology (RSM) and artificial neural network (ANN) for process performance prediction. Initially, the experiments were designed using the central composite design of RSM. The grinding wheel speed, peak current, pulse-on-time, and pulse-off-time were chosen as input process parameters, while tool wear rate (TWR) as the performance attributes. Analysis of variance was to identify the significant model terms and their influence on TWR. The grinding wheel speed was identified as the most influencing parameter, and a 61% reduction in TWR was recorded when increasing the speed from 200 to 600 rpm. The developed ANN model (4-20-1) reduced the mean square prediction error up to four times, outperforming the RSM model.
    Keywords: electrical discharge face grinding; tool wear rate; TWR; modelling; artificial neural network; ANN; response surface methodology; RSM; average surface roughness; ASR.
    DOI: 10.1504/IJAT.2023.10053479