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Browsing by Author "Sahin, Ismail"

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    Citation - WoS: 55
    Citation - Scopus: 59
    Optimizing fused deposition modelling parameters based on the design for additive manufacturing to enhance product sustainability
    (ELSEVIER, 2023) Sachin Kumar Mangla; Yigit Kazancoglu; Muruvvet Deniz Sezer; Neslihan Top; Ismail Sahin; Sezer, Muruvvet Deniz; Sahin, Ismail; Top, Neslihan; Mangla, Sachin Kumar; Kazancoglu, Yigit
    Nowadays designers and engineers rely on specific manufacturing guidelines to bring quality products to market with minimum time and error. Design for Additive Manufacturing (DfAM) is one of these guides adapted to Additive Manufacturing (AM) technologies used to increase the operational performance of components mini-mise material waste and provide design flexibility. DfAM optimises three-dimensional (3D) printing parameters to maximise the potential of AM technologies. DfAM improves ecological performance and provides many ad-vantages for the transition to a circular economy by providing resource efficiency and enabling the production of parts with reduced weight without changing their mechanical strength. The aim of this study is to investigate the impact of the infill density infill pattern and layer thickness on the printing time weight Young's modulus compressive stress surface roughness tensile strength CO2 emissions and amount of material used for the samples printed using Poly-lactic acid (PLA) in the Fused Deposition Modelling (FDM) method. PLA has been chosen because it is a natural and recyclable polymer derived entirely from plant sources. In the printing process samples with different mechanical properties have been obtained by changing the infill density (25% 50% and 75%) the infill pattern (gyroid triangle and grid) and the layer thickness (100 150 and 200 mu m) parameters. The Design of Experiment (DoE) method is provided to find optimal combinations of the selected parameters. Ac-cording to the results of the study the effect of the layer thickness differs on each output. While the infill density is 75% grid and triangle structures generally give the best results among the infill patterns, infill density of 25% varies according to the infill pattern. The gyroid and triangle patterns give optimum results for less layer thickness (e.g. 100 mu m) while the grid should be preferred for higher layer thickness (e.g. 200 mu m).
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    Citation - WoS: 33
    Citation - Scopus: 41
    Towards sustainable production for transition to additive manufacturing: a case study in the manufacturing industry
    (Taylor and Francis Ltd., 2023) Neslihan Top; Ismail Şahin; Sachin Kumar Kumar Mangla; Muruvvet Deniz Sezer; Yigit Kazancoglu; Sahin, Ismail; Sezer, Muruvvet Deniz; Top, Neslihan; Mangla, Sachin Kumar; Kazancoglu, Yigit
    Additive Manufacturing (AM) has emerged as an important digital technology in improving production efficiency by analysing possible environmental impacts of the operations. Therefore this study aims to investigate the impacts of redesigned products for transition to AM on sustainable production processes. In this study an industrial-scale product was redesigned according to AM principles and manufactured using the Fused Deposition Modelling (FDM) technique. The environmental impacts of the production methods were evaluated in terms of material consumption and carbon dioxide (CO2) emissions using the Life Cycle Assessment (LCA) method. Thus according to LCA results the use of a single type of material and production method for the redesigned product as well as reducing the amount of material used by eliminating the fasteners resulted in a 60.45% reduction in material consumption and 85.59% reduction in CO2 emissions compared to CM. Although the production time in CM is shorter than FDM the necessity of a mould design and manufacture by pre-processing resulted in an increase in delivery time. Results show that the material unit costs for both manufacturing methods are very similar. This study provides various implications that create sustainable development in the manufacturing industry for the transition to AM. ABBREVIATIONS: AM Additive Manufacturing, CAD Computer-Aided Design, CAE Computed-Aided Engineering, CM Conventional Manufacturing, CNC Computer Numerical Control, CO2 Carbon Dioxide, DFAM Design for Additive Manufacturing, DIY Do It Yourself, FDM Fused Deposition Modelling, LCA Life Cycle Assessment, LEM Laser Engraving Machine, PLA Polylactic Acid, SLA–Stereolithography, SLS Selective Laser Sintering, 3D–Three Dimensional. © 2023 Elsevier B.V. All rights reserved.
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