فهرست مطالب

Journal of Engineering in Industrial Research
Volume:4 Issue: 2, Oct 2023

  • تاریخ انتشار: 1402/07/09
  • تعداد عناوین: 6
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  • Khalifa Algheryani *, Abdelsalam Asweisi Pages 68-77
    Cloud point extraction (CPE) of trace metals from aqueous solutions is based on clouding phenomena of non-ionic surfactant used. This work aimed to separate Cr (III) ions from water samples using a cost-effective and environment-friendly method as CPE at high efficiency. Four different types of non-ionic surfactants have been selected and investigated for CPE to achieve high performance. Polyethylene glycol, glycerine, PO/EO block polymer, and ethoxylated polyamine surfactants are used in CPE experiments. The influence of important factors has been studied and optimized on the percent of extraction yield, pH, surfactant amount, Cr (III) ions concentration, temperature, and centrifugation time as well as ammonium pyrrolidine dithiocarbamate (APDC) as chelating agent to enhance the separation process. As a result, polyethylene glycol, PO/EO block polymer, and ethoxylated polyamine were excellent surfactants since a complete separation of Cr (III) at pH 8 and a lower equilibrium time of about 2 minutes has been achieved.
    Keywords: Chromium, Cloud point extraction, Non-ionic surfactant, Pollution
  • Milad Karimi * Pages 78-86
    Introduction
    Metallography in the general sense is the study of the internal structure of metals and alloys and the relationship of this structure with the composition, production sample, and freezing conditions and their chemical and mechanical properties. One of the important tests of the quantitative and qualitative control unit of the metallographic casting production line, which today has both the quality control and research aspects. Gray cast iron will be produced from an alloy of iron and carbon that is about 2% more or a low cooling rate or silicon that causes instability of cementite. Now, if its carbon content is less than 4.3%, low carbon gray cast iron is obtained, which is easier to cast than steels, which may have merit and pearlite properties.
    Method
    In the initial stages of cutting the sample from the main piece, we find out its clarity, softness and well-cut.
    Findings
    After cutting, it can be filed easily, but sanding it was difficult due to its high softness, so that by spending about 1.3 of the time on sanding cast irons like before, we would reach a flat surface. We put all the files and polishes of the sample under the microscope.
    Conclusion
    At first glance, the overly sanded lines and the polishing machine prevented one from seeing its graffiti. In equipment that wears, iron alloys with the most carbon have the best wear resistance, but due to the many stresses that occur during work, the material used should have sufficient toughness to prevent various defects.
    Keywords: Cast iron, Silica, Microscopic Materials, Metallography
  • Akash Singh *, Madhavi Singh, Keshav Singh Pages 87-92

    Artificial intelligence (AI) has become a popular topic in recent years due to the rapid advancements in technology. With the rise of AI, there are many potential benefits that it can bring, such as increased efficiency, improved decision-making, and personalized experiences. However, there are also numerous risks associated with AI, such as job displacement, loss of privacy, and even potential safety concerns. This research paper will explore the ethical, legal, and social implications of AI and also address the various risks and benefits of AI and provide insights on how to mitigate the risks while maximizing the benefits. Humans have continuously produced and refined many technologies in their pursuit of sophistication. The purpose of this practise is to make sure that they can develop goods that can make it easier for them to carry out numerous ways [1]. Since the beginning of time, humans have engaged in a variety of behaviours in an effort to increase their chances of succeeding in the many situations they have encountered. The industrial revolution, which began in the early 1760s, would bring the practise to an end. Several nations at the time believed it was feasible to produce various goods for the general public in order to satisfy the need for diverse goods brought on by expanding populations. Since then, thanks to the development and widespread application of artificial intelligence, humans have advanced considerably.

    Keywords: Artificial intelligence, risks, Benefits
  • Andi Johnson * Pages 93-109
    This study has investigated the environmental effects of the decomposition of zein nanoparticles in adsorbents in the petrochemical industry. Zein is a fibrous and protein polymer that has a small amount of acidic and basic amino acids, but is rich in amides, leucine, proline, and alanine. This protein is found in corn germ, is commercially extracted from corn gluten by alcohol, and is a byproduct of the bioethanol industry. Zein particles in the diameter range of 1-2 micrometers are called the main proteins of corn spores. Three separate components of zein including α,ᵝ and ᴽ zein can be identified by their different solubility in alcohol solutions. Commercial zein is a mixture of proteins with different molecular mass, solubility, and charges. Biodegradable polymers from renewable sources have attracted a lot of attention due to their positive impact on the economy and the environment. Since oil resources are running out, new energy sources are needed. Therefore, more attention has been drawn to the conversion of biomaterials into useful products.
    Keywords: Nanoparticles, Adsorbent, Petrochemical industry, Solubility
  • Esijolomi Otokunefor *, Samuel Azi Pages 110-128
    Optical float zone furnaces are used in crystal growth experiments where contact temperature measuring devices are not used, in order to avoid contamination. However, they are factory calibrated in terms of the applied lamp power and when in use, melting points are carefully controlled by visual monitoring using video cameras. There is therefore, the need to devise a means to recalibrate the percentage lamp power settings as temperatures (o C) for any sample being processed. To achieve this, a float zone furnace using ellipsoidal flood light reflectors has been designed, constructed and thermally characterized. The design specification was tailored around two ellipsoidal, commercial flood lighting aluminum reflectors of semi major axis a = 31.0 cm, semi minor axis, b = c = 25.5 cm and eccentricity e = 0.587 and powered by 2000W, rectangular halogen filament. The temperature distributions at and around the secondary focus of the realized furnace was calibrated against lamp voltage and power using a K-type thermocouple connected to a TES 1315 temperature data logger. The temperature growth of heated samples with applied lamp power was found to be described by an inverse exponential expression with a goodness of fit value of 99.48% after least square regression and is statistically significant. Using the determined temperature-power relationship, it is thus possible to determine the temperature of heated samples without a thermometer. Secondly, optical float zone furnaces can be temperature calibrated against input power.
    Keywords: Ellipsoidal, Aluminum Floodlight Reflectors, Halogen lamp, primary focus, secondary focus
  • Mamedu Anthony, Olumide Ige, Rilwan Usman *, Obiri Okara, Abdu Muhammad, Atef Taher Pages 129-135
    This work uses the coupled-channelled optical model code to investigate the nuclear property of protactinium-233 for reactor fuel application. The high demand for nuclear reactor fuels has necessitated this research. As one of the major naturally occurring radionuclides with lots of fuel prospect, Protactinium-233 with half-life of 26.975 days occur in trace. By neutron induction, protactinium-233 can produce fissile materials to be used as reactor fuel. Computations were done for both the Potential Expanded by Derivatives (PED) which account for the Rigid-Rotor Model (RRM) that treat nuclei as rigid vibrating sphere and account for nuclear volume conservation and Rotational Model Potentials (RMP) which account for the Soft-Rotator Model (SRM) that treat nuclei as soft rotating spherical deformed shapes. Each of the calculated data was compared with the retrieved data from Evaluated Nuclear Dada File (ENDF) which was found to be in good agreement. The threshold energies in all cases were found to be ≤ 4 MeV for both PED (Potential Expanded by Derivatives) and RMP (Rotational Model Potentials). It is observed that results from RMP much better agreed with the retrieved data than one obtained from PED.
    Keywords: Reactor, Breeder Fuel, OPTMAN Code, Coupled-Channelled Model, Soft-Rotor, Rigid-Rotor