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Mehmet Safa Bodur

Researcher at Istanbul Technical University

Publications -  33
Citations -  352

Mehmet Safa Bodur is an academic researcher from Istanbul Technical University. The author has contributed to research in topics: Ultimate tensile strength & Composite number. The author has an hindex of 8, co-authored 25 publications receiving 286 citations. Previous affiliations of Mehmet Safa Bodur include Yeditepe University & Eastern Mediterranean University.

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Proceedings ArticleDOI

Maximum power point tracking for low power photovoltaic solar panels

TL;DR: A maximum power point tracker unit is developed for the optimum coupling of photovoltaic panels (PVP) to the batteries and load through a controlled DC-DC power converter (chopper) and regulates the panel output voltage at its optimum value in the control mode.
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The effects of different chemical treatment methods on the mechanical and thermal properties of textile fiber reinforced polymer composites

TL;DR: In this article, the effects of improvement methods on the mechanical and thermal properties of textile fiber reinforced (T-FRP) composites were investigated and five different chemical methods namely,...
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The effect of reprocessing on the mechanical properties of the waste fabric reinforced composites

TL;DR: In this article, two different waste fabric reinforced composite plates were produced and reprocessed six times to assess repetition effect of processing on the mechanical and rheological properties on plates.
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Adaptive control of flexible multilink manipulators

TL;DR: In this paper, an adaptive self-tuning control scheme for end-point position control of flexible manipulators is proposed based on a dynamic model of a flexible manipulator described in cartesian coordinates, which eliminates the burden and inaccuracy of translating a desired endpoint trajectory to joint coordinates using inverse kinematic relations.
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Double look-ahead reference point control for autonomous agricultural vehicles

TL;DR: In this article, a simple automatic path tracking system is developed to satisfy the typical requirements of an unmanned agricultural tractor application based on two look-ahead reference points (2-LARP) on the desired path.