Forthcoming Articles

International Journal of Computational Materials Science and Surface Engineering

International Journal of Computational Materials Science and Surface Engineering (IJCMSSE)

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 Articles will not be published until the final proofs are validated by their authors.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 also listed here. 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.

International Journal of Computational Materials Science and Surface Engineering (5 papers in press)

Regular Issues

  • Probing the formation of graphene oxide and reduced graphene oxide from annealed graphite: a multifaceted approach   Order a copy of this article
    by Nooralhuda Yearab, Sumaa Jafer, Amer Al-Nafiey, Halah Mohammed Azeez 
    Abstract: This research presents a simple, low-cost technique for synthesising graphene oxide (GO) and reduced graphene oxide (rGO) through the annealing of graphite at 650 C for times of 2, 4, and 6 hours, without using hazardous strong acids and oxidants typically used in traditional methods. X-ray diffraction (XRD), FT-IR, and UV-Vis spectroscopy were used to monitor how the structure changed. Annealing at 2 and 4 hours produced GO, as shown by the XRD peak at 2 = 10.7, the FT-IR band at ~1020 cm1 for the CO, and the UVVis absorptions at ~268 and ~368 nm. Longer annealing (6 hours) produced rGO, which is shown by the loss of oxygen-related features, the decrease of the ~300 nm UVVis shoulder, and the strong peak at ~270 nm. The results show a time-dependent process (graphite GO rGO) with an intermediate interaction regime. This implies that altering the annealing duration can precisely control the oxidation state.
    Keywords: graphite; graphene oxide; annealing; FTIR; Fourier transform infrared; XRD; X-ray diffraction.
    DOI: 10.1504/IJCMSSE.2026.10077272
     
  • Thermo-mechanical analysis of Ni-Cr coated brake discs using finite element method   Order a copy of this article
    by Rakesh Chaudhari, Rajendra Shimpi, Dinesh Shinde 
    Abstract: The brake disc is key element of any vehicle for slowing down or stopping the speed of wheel. The widely used brake disc materials pose some challenges in terms of fuel consumption due their specific gravity. The sue of lightweight cast iron, aluminium alloy, titanium alloy, ceramics and composites are restricted by low melting point and high cost. The present work attempts to use hardened mild steel for the brake disc as it possesses high strengths and good machinability. Finite element analysis was carried out on steel plate without any coating and coated with wear-resistant Ni-Cr material. The solid state thermal and structural investigation was carried out on together the plates to investigate the hotness, total heat flux, total deformation and life expectancy of the brake disc. The important enhancement in the performance is observed in the disc after coating.
    Keywords: brake disc; coating; deformation; heat flux; mild steel; wear.
    DOI: 10.1504/IJCMSSE.2026.10077543
     
  • Advancements in modelling aluminium alloy AA2195 behaviour: a comprehensive study of the Johnson Cook model   Order a copy of this article
    by D. Madhusudhan, K. Prabhavathi, Shalini Sirisha 
    Abstract: The Johnson-Cook (JC) constitutive model of the aluminium Alloy AA2195 was calibrated for a wide range of strain rates (0.0001-10,100 s-1) and temperatures (420-520 C) in this study. True stress-strain curves were determined from tensile tests and yield stress was calculated using the 0.2% offset method, before a process of non-linear least squares fitting was performed via a Python script and constrained optimisation. A successive approach was applied to reduce the impact of various parameters. The optimised JC parameters were determined as A = 429.11 MPa, B = 123.01 MPa, n = 0.6466, C = 0.0486, and m = 9.2885. The JC model fits to the experimental data reasonably well, with R2 (coefficient of determination) values from 0.821 to 0.994 for different thermo-mechanical loading conditions. The average absolute prediction error was 5.66 MPa, with good predictive performance. The findings show a low strain-rate sensitivity and high thermal softening contribution of AA2195. The model provides a practical approach for finite element simulation of aerospace forming and high-strain-rate impacts.
    Keywords: Johnson Cook model; strain rate sensitivity; thermal softening; AA2195; plasticity; python code.
    DOI: 10.1504/IJCMSSE.2026.10078246
     
  • Study on the hot compression behaviour and microstructural evolution of 6082 aluminium alloy during integrated solution-forging processing   Order a copy of this article
    by Shaoheng Sun, Yaxia Qiao, Hao Zhang, Xingna Peng, Dejun Tu 
    Abstract: The hot compression behaviour and microstructural evolution of 6082 aluminium alloy during integrated solution-forging processing were systematically investigated via isothermal compression tests at 400-535 C and strain rates of 0.1-10 s-1. A strain-compensated Arrhenius-type constitutive model and processing maps based on the dynamic material model (DMM) were established. Results show that flow stress decreases with increasing temperature and decreasing strain rate. The optimal processing window is identified at 435-535 C and 0.11 s-1. Transmission electron microscopy (TEM) analysis reveals that nanoscale Al12(Fe,Mn)3Si dispersoids pin dislocations and suppress boundary migration, while uniformly distributed precipitates along the [001]Al direction enhance precipitation strengthening. The integrated process promotes refined microstructures and improved deformation stability, providing guidance for optimising thermomechanical processing of 6082 aluminium alloy.
    Keywords: aluminium alloy; hot compression; constitutive equation; processing map; precipitates.
    DOI: 10.1504/IJCMSSE.2026.10078614
     
  • SAECCE2025-Technology development trend of cloud-based production control system based on intelligent manufacturing strategy   Order a copy of this article
    by Qian Li, Caizhi Zhang, Wei Deng, Xiaoliang Zhu, Bin Liu 
    Abstract: The rapid advancement of information technology, including digital, networked, and intelligent technologies, is profoundly transforming manufacturing. Innovations such as cloud-based enterprise resource planning (ERP), manufacturing execution systems (MES), and product data management (PDM) are central to this evolution and serve as a driving force behind the new industrial revolution. This paper systematically analyses intelligent manufacturing trends and examines the deep integration of manufacturing with advanced information technology, proposing two key modes: smart manufacturing (SM) and intelligent manufacturing (IM). It provides an overview of cloud ERP, MES, and PDM systems and their technological development directions. Cloud-Based Production Control systems will continue to play a vital role in the future, becoming increasingly intelligent, secure, and sustainable, thereby strongly supporting the digital transformation and intelligent upgrading of the manufacturing industry.
    Keywords: intelligent manufacturing; cloud-based production control system; ERP; enterprise resource planning; MES; manufacturing execution system; PDM; product data management.
    DOI: 10.1504/IJCMSSE.2026.10078750
     

 

Return to top