The standard flat-plate solar collector utilises a single copper tube to remove the absorber plate’s heat. This type of collector’s primary purpose is to provide hot water for a single application. Hot water can be required for different applications at different temperatures. Besides, using the standard collector’s configuration may increase thermal demand and increase the collector’s size. Therefore, this study proposes a novel solar water heating configuration that uses three in-line fluid passages. The goal is to design a single collector that provides hot water for various uses: Sterilisation, washing, and postnatal care. Thus, the proposed system was modelled, and a numerical simulation conducted. This analysis compares the proposed system’s output and the standard collector’s output. The results showed that the thermal load demand was reduced by 27% when the hot water demand for these services was generated using three separate tanks. The serpentine collector’s efficiency with three fluid passages is increased by 20% compared to the traditional serpentine collector. The thermal energy delivered to meet load was 30% higher than that of the traditional serpentine system. The experimental and simulated system performance is in near agreement with an average percentage error Cv(RMSE) of 8.75% and confidence level NSE of about 87%. Since the proposed serpentine collector has a higher overall thermal production, it is recommended for use with hot water, which has to be heated to different temperatures.
The finite element analysis of spherical indentation was conducted using the SolidWorks simulation software. The relationship between the load and indention was determined, and comparison with the Hertzian solution was made. In this study, spherical indenters of diameter 5, 10 and 15 mm were used to assess the effect of indenter radius on indentation response at a specified load. The outcome of our study shows that the resulting load-indentation response does not closely correlate; as a result, a difference of 21.2% was observed between the hertz solution and simulated results. The increase in diameter was observed to be associated with the corresponding decrease in indentation depth and the indentation stress. The von Mises stress contour at maximum load was analysed and was observed to be the highest on the indented surface beneath the indenter. The resultant displacement contour shows a uniform displacement distribution.
Breast cancer is the second most common cancer in women after skin cancer. When cancer care is delayed or inaccessible, there is a lower chance of survival, greater problems associated with treatment and higher costs of care. Early diagnosis improves cancer outcomes and leads to a better prognosis. In third world countries like Nigeria, where state-of-the art breast cancer diagnostic machines and the experts are grossly insufficient, alternative approaches to early diagnosis of breast cancer must be evolved. These preliminary data obtained from images of suspected cases of breast cancer are transformed in profiles of breast diseases, which are used by the local physicians in charge of breast disease patients. Each new case can then be compared by the local treating physician with the profile of all preceded cases with the same diagnosis. Three supervised learning models; Logistic Regression. Random Forest Classifier, and K-Nearest Neighbors were used to train the cancer dataset, and Random Forest Classifier outperformed with accuracy of 96% and an almost perfect sensitivity/Recall index. The dataset could not capture the demographic effects of the breast cancer images on the diagnosis, which now opens up new research areas in this study of breast cancer.
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