Forthcoming and Online First 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 Articles will not be published until the final proofs are validated by their authors.

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International Journal of Computational Materials Science and Surface Engineering (2 papers in press)

Regular Issues

  • Design of gating system for propeller casting through melt flow simulation   Order a copy of this article
    by Amir Hosein Riazi, Seyed Mohammad Ali Boutorabi, Mohammad-Reza Aboutalebi, Mohsen Ostad Shabani 
    Abstract: Marine propellers have a complex geometry and uneven thickness, which causes severe and unpredictable problems during the casting process. Designing a proper gating system leads to the production of clean and sound castings. In this paper, a computer modeling study was carried out for casting of a marine propeller using a commercially available software package was used to explore the improvement of filling systems based on the relatively new concepts of avoiding entrainment of air bubbles and oxides by avoiding surface turbulence. In the simulation process, bottom-pour and top-pour designs were considered, which were examined in 7 trials. Since a critical velocity of 0.5 m/s is required to produce clean and sound castings, suitable methods were used to reduce the melt velocity to 0.5 m/s.
    Keywords: Simulation; computational fluid dynamics; Casting; Propeller; fluid flow; Fan gate.

    by Shubham Jain, Vishal Parashar 
    Abstract: In this paper, parametric single-objective optimization and multi-objective optimization for Electric Discharge Machining (EDM) on En-24 steel has been carried out, by Butterfly Optimization Algorithm and Genetic Algorithm. In this research, different process parameters like Peak Current (Ip), Pulse ON Time (Ton), Gap Voltage (Vp) have been selected to optimize the responses like Material Removal Rate and Surface Roughness. A Central Composite Design (CCD), for three machining parameters at five-level each, has been selected to design the experiments. Analysis of variance (ANOVA) has been performed, to find significant process parameters affecting responses, and to find the validity of the derived modal in the present work. Grey Relational Analysis method has been used to find the optimum weightage for all responses. From the comparison, it has found that the Butterfly Optimization Algorithm (BOA) gives very close results to the Genetic Algorithm, and so BOA can be applied for real-world optimization problems.
    Keywords: Analysis of Variance; Central Composite Design; Electric Discharge Machining; Grey Relational Analysis; Multi-Objective Butterfly Optimization Algorithm.