This is a repository copy of ANN-derived equation and ITS application in the prediction of dielectric properties of pure and impure CO₂.

Entrepreneurship is the major solution to the unemployment problem that has resulted to multifaceted socio-economic challenges in the developing worlds.  If engineer becomes entrepreneur, this will not only create jobs but promote technological development and a sustainable national economic growth is guaranteed. The process of entrepreneurship starts from the development of intention to embark on such a venture, hence this study assessed the entrepreneurial intentions of the engineering students in the universities. To accomplish this task, Ajzen theory of planned behaviour is applied. A survey was conductor at the faculty of engineering, Osun State University, Osogbo, Nigeria through a structured questionnaire administered to 470 engineering students in 2021. The data collected was analysed using Statistical Product and Service Solution (SPSS) version 20. The results of the descriptive and regression analyses using the SPSS show that engineering courses are mostly study by the male gender and further revealed that entrepreneurial intentions could be statistically investigated using the Ajzen theory. The results specifically revealed that personal attitude, subjective norms and perceived behavioural control are statistically significant in determining the entrepreneurial intentions of engineering students, while the level of study is insignificant. Based on these results, recommendations for the government, heads of engineering faculty, educators in the fields of engineering and entrepreneurship were provided

The need for metal usage is indispensable in the daily activities of human life. Metal is needed for the construction of different infrastructures such as houses, roads, bridges etc but despite the fact there is huge amount of metal available, it does not meet the global demand. Thus this paper investigated continuity of refinery as a measure to improve the efficiency of Electric Arc Furnace. In order to achieve maximum precision during production, getting the product at relatively reduced price has remained a major problem to Scientists. The experiment was conducted at industrial scale whereby the time was varied from 20 to 40 minutes while energy consumption rose from 0.0542 to 0.1103 mW-Hour/ton and productivity fell from 253.0 to 99.2 ton/Hour .The data were collected from active furnace in Zerepaves Metallurgical plant, Russia and analyzed with software package for accuracy. It can be concluded that increasing refinery continuity reduces working productivity of the electric arc furnace.

The establishment and sustainability of the small-scale manufacturing sector is a great contributor to any nation's economic and technological development. A job shop is a typical small-scale manufacturing system that produces simple equipment and machine parts as well as technical services in developing nations. This type of manufacturing system requires versatile production machines for its activities. This requires enormous capital that most interested investors could not afford, and a majority of the commercial banks are not willing to provide financial assistance. This study develops a model using the theory of internal funding by employing the little initial capital in phasing- in the acquisition of the needed machinery, construction of factory space in modular forms, and adequate consideration for recurrent expenditure (i.e. working capital). The initial capital is periodically augmented from the ploughed-back earnings for the gradual acquisition of other machinery until a fully functional job shop emanates within the shortest possible time. Job shop general scheduling methods available in the literature could not be employed to solve the model developed in this study due to its peculiarities. Hence a special heuristic that employs suitable decision rules was formulated and solved using software developed for the purpose. The model developed in this study will be helpful to the investors in job shops, especially in developing nations, to overcome the problem of financing the venture.

Conventional tool monitoring instruments are usually costly to acquire. The instruments are inadequate for real time wear measurement in the uncertain environmental conditions of developing countries. A modeling approach relating relevant parameters causing wear on cutting tools’ flank will be useful in predicting wear in machining operations. Mild steel turning experiment was carried out on the lathe using selected High Speed Steel (HSS) and High Carbon Steel (HCS) single point cutting tools. Speed, feed, and time of machining were varied accordingly, while running with, and without coolant. Hardness of the cutting tips of the tools was measured using Rockwell, R hardness tester. The corresponding speed, feed and time of machining were also noted. Turning operation was continued until the tool was totally blunt. At this stage recorded values of hardness, time of machining, feed and speed were modeled using multiple regression technique, with and without cutting fluid. The resulting models were strongly in agreement with the measured values. Therefore, the model is a good predictor of flank wear for the selected tools commonly used in developing countries. The findings showed that wear of the cutting tools can be predicted during machining at predetermined cutting conditions.