Browsing by Author "Uzundal, C. B."

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    Lyotropic liquid crystalline mesophase of sulfuric acid − nonionic surfactant stabilizes lead (II) oxide in sulfuric acid concentrations relevant to lead acid batteries
    (American Chemical Society, 2017) Uzundal, C. B.; Balci, F. M.; Ulgut, B.; Dag, Ö.
    Concentrated sulfuric acid (SA) and nonionic surfactant (C12H25(OCH2CH2)10OH, C12E10) form lyotropic liquid crystalline (LLC) mesophases in a broad range of SA concentrations; the SA/C12E10 mole ratio may vary from 2 to 11 in the LLC mesophases in the presence of a small amount of water. The mesophase is hexagonal at low SA concentration and cubic at higher concentrations. Three different compositions were prepared (one hexagonal and two cubic) with the SA/C12E10 mole ratio of 2.5, 6, and 9, denoted as 2.5LC, 6LC, and 9LC, respectively. They all display electrochemical SA activity in Pt and Pb systems. Most interestingly, they show the electrochemical formation of stable PbO species in a deeply acidic medium as evidenced by the X-ray diffraction, cyclic voltammetry, and linear sweep voltammetry experiments. The preferable properties of PbO over PbSO4 for lead acid batteries (LABs) make it uniquely positioned as a superior gel electrolyte for the LABs that would mitigate sulfation.
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    Method for visualizing under-coating corrosion utilizing pH indicators before visible damage
    (Elsevier B.V., 2018) Uzundal, C. B.; Ulgut, Burak
    A new method for under-coating corrosion visualization is developed. The method detects corrosion through local pH gradients which are visualized by pH indicators. pH gradients are induced in a setup similar to the one popularized by Devanathan. On the uncoated back side of the metal, the sample is cathodically polarized, generating hydrogen gas through electrolysis. The hydrogen generated, diffuses through the metal sample and oxidizes on the anodically polarized painted side wherever the coating develops a defect causing a decrease in the local pH. The local pH is then used in imaging the location of defects through the use of a pH indicator, before any visible corrosion damage occurs on the coated metal sample.
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    Zero-free-parameter modeling approach to predict the voltage of batteries of different chemistries and supercapacitors under arbitrary load
    (Electrochemical Society, Inc., 2017) Özdemir, E.; Uzundal, C. B.; Ulgut, B.
    Performance modeling of electrochemical energy storage systems is gathering increasingly higher attention in recent years. With the ever increasing power demand of mobile applications, predicting voltage behavior under different load profiles is of utmost importance for communications, automotive and consumer electronics. The ideal modelling approach needs not only to accurately predict the response of the battery, but also be robust, easy to implement and have low computational complexity. We will present a new algorithm that is algebraically straightforward, that has no adjustable parameters and that can accurately predict the voltage response of batteries and supercapacitors. The approach works well in a variety of discharge profiles ranging from simple long DC discharge/charge profiles to pulse schemes based on drive schedules published by regulatory bodies. Our approach is based on Electrochemical Impedance Spectroscopy measurements done on the system to be predicted. The spectrum is used in the frequency domain without any further processing to predict the fast moving portion of the voltage in the frequency domain. DC response is added in through a straightforward lookup table. This widely applicable approach can predict the voltage of with less than 1% error, without any adjustable parameters to a large variety of discharge profiles.