Forthcoming and Online First Articles

International Journal of Experimental Design and Process Optimisation

International Journal of Experimental Design and Process Optimisation (IJEDPO)

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International Journal of Experimental Design and Process Optimisation (4 papers in press)

Regular Issues

  • Data Analysis and Prediction Model Discovery through Decision Tree Learning   Order a copy of this article
    by Parham Porouhan 
    Abstract: Data mining and machine learning tools and approaches have been extensively used and practiced in bioinformatics with the purpose of analysing biomedical datasets. In this paper, we have chosen 'RapidMiner Studio' as a platform to create/generate 'decision tree models', which are obtained from a medical dataset. In research, 'decision trees' are considered as one of the most popular supervised (machine) learning techniques, which, as an instance can be effectively used for prediction of specific indicators/attributes affecting a disease. In general, this paper is divided into two main parts. In the first part of the study, an existing medical dataset with known label values (so-called, a training dataset) is used to identify and discover the hidden patterns. In the second part of the study, the generated/resulting patterns are used for making predictions. The results of the study provide groundwork for further and future studies.
    Keywords: data mining; rapidminer studio; decision trees; predictive analytics; model discovery; medical dataset.
    DOI: 10.1504/IJEDPO.2022.10051049
  • Characterization of Ionic Conductivity in Lithium-borate Glass: Experimental and Instructional Material on Impedance Spectroscopy   Order a copy of this article
    by Mbadiwe Samuel Benyeogor, Kosisochukwu Pal Nnoli, OLadayo Olufemi Olakanmi 
    Abstract: This paper discusses Impedance spectroscopy as a novel and effective method of characterising electrical materials and probing the dynamics of charge carriers at the interfacial layers of dielectrics. Here, an experiment is carried out to characterise the ionic conductivity (which infers resistivity) of two lithium-borate glass samples as a function of temperature, by means of impedance spectroscopy. The experiment compares or fits the impedance data to an equivalent circuit, which is a model of the underlying physical processes under investigation, and discusses the analogies between circuit elements and the processes. Analyses of the results show how the impedance of lithium-borate glass varies with temperature, between 240 and 320 degrees celsius. Moreover, this paper provides a conceptual foundation for introducing the experiment into school curricula.
    Keywords: electrical materials; impedance spectroscopy; ionic conductivity; instructional materials; lithium-borate glass; thin films.
    DOI: 10.1504/IJEDPO.2022.10052267
  • Box-Behnken Design to optimise 3D printing parameters in applications for fashion products   Order a copy of this article
    by Tatjana Spahiu, Konstantinos Kitsakis, John Kechagias 
    Abstract: The fashion industry incorporates innovative technologies to realise new products and designs. Tailored fashion product development very soon tested 3D printing techniques, overcoming many challenging issues. This study investigates the effects of three variables during fused filament fabrication on surface roughness of buttons used for clothing products. First, parameter design is applied to select the experimental area and parameters levels, i.e., the extruding temperature, layer thickness and printing speed are tested following the Box-Behnken experimental design. Then a second-order model is used as a response surface to optimise the parameters and evaluated using contour plots and ANOVA analysis. The values of 230°C extrusion temperature, 0.2 mm layer thickness and 45 mm/s printing speed optimise the average roughness resulting in about three μm for the upper surface.
    Keywords: Box-Behnken; fashion; button; optimisation; 3D printing; fused deposition modelling; FDM; fused filament fabrication; FFF.
    DOI: 10.1504/IJEDPO.2022.10053016
  • An experimental study of laser cutting of PLA-Wood flour 3D printed plates using a modified Taguchi design   Order a copy of this article
    by John Kechagias, Konstantinos Ninikas, Konstantinos Salonitis 
    Abstract: Wooden powder flour blended with thermoplastic polylactic acid (WPLA) is an eco-friendly composite material used in filament material extrusion (MEX) additive manufacturing (AM). This work investigates the effect of CO2 laser cutting (LC) of filament MEX WPLA thin plates with variable cutting parameters on mean kerf width (Wm) and means surface roughness (Ra). The experimental design consists of three parameters with three levels each, i.e., the beam cutting direction (CD: 0, 45, 90°), the cutting speed (CS: 8, 13, 18 mm/s), and the beam power (BP: 82.5, 90, 97.5 W). Eleven experiments were performed following the Taguchi L9 orthogonal array plus two in the central point. Finally, additional combinations were run and validated the suggested modified Taguchi design resulting in acceptable mean average percentage errors (MAPE). The optimum parameters values combination (90° CD, 18mm/s CS and 97.5W BP) results in about 8.44 m Ra and 0.355 mm Wm.
    Keywords: laser; cutting; material; extrusion; fused filament fabrication; FFF; FDM; 3D-printing; Taguchi; surface response.
    DOI: 10.1504/IJEDPO.2022.10053452