Abstract In this study using accumulative press bonding (APB) process, bimetal AA1060 and AA5083 have been fabricated. The aluminum bars were first press bonded and then this process continued up to five pressing steps. In the APB process, the composite samples were preheated at 320°C for 7 min before each pressing step. Mechanical-properties-of the-AA1060-AA5083 composites were appraised in appraisal to AA1060-AA1060 and AA15083-AA5083 accumulative press bonded single alloy MMCs, and this is done for the first time as its novelty. It was found that both aluminum alloys deform in the same way in the AA1060-AA5083 composites-up-two-APB steps and then AA5083 layers began to neck. Also, it was found that the average strength of the AA1060-AA5083 composites is more than that of these-two-single-alloy MMCs. Moreover, by using-scanning-electron-microscopy (SEM), the effect of APB steps on the fracture surfaces of bi alloy composites have been investigated.

Abstract Today, the vermicompost production process is considered one of the most economically, hygienically, and environmentally friendly methods for the stabilization of organic waste. The aim of this paper was to investigate the effect of food waste preparation time without initial modification and without continuous aeration on the vermicompost process before feeding the worms with organic waste material in order to pass the calorific stage of decomposition of organic matter and not to damage the worms that are sensitive to high temperatures, and the process of fertilizer production is faster, organic matter is composted for a while without the presence of worms. In this paper, four periods, including 0, 7, 14, and 21 days of waste preparation, were examined. The results showed that the difference in ratio between different preparation times was significant 7-14 days the most suitable time for waste preparation without initial modification was obtained.

Abstract Fresh vegetables and fruits need oxygen (O2) to carry out their metabolic activities, particularly respiration. The procedure where the actively respiring commodity is sealed in film packages made of polymer to change the CO2 and O2 levels of concentration inside the package environment required to increase shelf-life and preserve freshness is referred to as modified atmosphere packaging (MAP). To affect the product's metabolism being packaged or the activity of organisms that cause degradation to extend the time of preservation, it is frequently desired to create an environment high in CO2 and low in O2. MAP changes the environment and increases moisture preservation that has a bigger impact on quality preservation. Moreover, packing separates the product from the surrounding environment, assisting in the creation of circumstances that, if not hygienic, at the very least minimize exposure to infections and pollutants, as well as physiological damage. MAP is a dynamic mechanism that occurs concurrently throughout permeation and respiration. As a result, MAP design necessitates the assessment of the product's intrinsic features, such as film permeability, optimal O2 and CO2 gas concentrations, and respiration rate. The goal of MAP design is to specify parameters that will provide the greatest feasible environment within the package for increasing the product's shelf-life in the quickest possible time. This is accomplished by synchronizing the packed produce's respiration rate with O2 and CO2 gas penetration rate through the film. The current study contains a detailed discussion of all of these elements of MAP.

Abstract Vegetable oils (VOs) come in a wide range of flavors and trademarks. VOs are very similar in appearance, flavor, and taste, and it's frequently difficult to tell them from just by looking at them. Approaches for classifying these oils are sometimes expensive and time-intensive, and they frequently include analytical chemical techniques as well as mathematical algorithms like as Artificial Neural Networks (ANNs), Properties of Partial Least Squares (PLS), Principal Components Regression (PCR), and Principal Component Analysis (PCA) to enhance their effectiveness. Because of the large range of goods available, more productive techniques for qualifying, characterizing, and classifying these substances are required, as the ultimate cost should indicate the quality of the commodity that reaches the user. This study provides a technique for classifying VOs such as different manufacturers' soybean, corn, sunflower, and canola. This method utilized a Charge-Coupled Device (CCD) array sensor, a light emission diode, and a straightforward mathematical approach to capture the generated fluorescence spectrum (FS) in diluted oil. The spectrum classifications are performed using an ANN with three layers, each having four neurons. The approach can categorize VO and enables rapid network training with a 72% success rate utilizing only a few mathematical changes in the spectra data.