Exergy analysis is a method of evaluating the proportion of each process on the transmission of system availability and determining how the useful energy is loosed. In this research، a turboprop engine is simulated using GASTURB 10 commercial software which is developed based on zero-dimensional approach. The performance of turboprop engine is calculated at design point and some off-design points and thermodynamic properties of engine components at different flight altitudes and Mach numbers are calculated. After that، by defining exergy terms and using related exergy equilibrium equations، the necessary conceptual basis for exergy analysis is introduced. Then thermodynamic data obtained from GASTURB software are used to exergy analysis of engine components. Results show that combustion process has the dominant portion of the system irreversibility.

Monitoring and evaluation of transformers are essential to prevent their insulation failure. In this paper, the use of 2-furan-carboxaldehyde (2-FAL) and methanol (MeOH) concentrations as the main products of paper insulation degradation, and insulation condition markers, has been studied. In order to study the degradation process and production of degradation products, the thermal aging process of the transformer insulation system was implemented in laboratory conditions. The results of laboratory studies show that in the early stages of degradation the amount of MeOH is significant compared to 2-FAL. Also, the estimation of the degree of polymerization (DP) in the early stages of degradation (DP>800) through MeOH concentration and with decreasing DP (DP <800) through 2-FAL concentration is closer to the real value. The results of studies performed on 35 distribution transformers confirm the production of significant amounts of MeOH in the early stages of degradation. Also, the estimated DP values for the studied transformers were obtained through 2-FAL and MeOH concentration. The results show that estimating the amount of DP through MeOH concentration is associated with a probability of error of about 9% compared to estimating DP through 2-FAL concentration.

Background: The main aim of this research is to identify working conditions and working practices policy (work practices, especially self-management behavior) affecting the productivity of knowledge workers in Birjand University. The results of this research identify ways to improve the productivity of knowledge workers and determine the appropriate working conditions affecting their productivity in the organization. Moreover, this research provides useful recommendations for managers, policymakers, community, universities and educational institutions in the area of human resource management and In particular, knowledge workers. that similar this research have not done in Iranian organizations until now. Objective: The purpose of the present study is applied and in terms of the method used is a feild survey. In this research, data was collected through questionnaires tools such To measure the working conditions and its components, by the theoretical model of Palvalin et al. (2017) and Model 3 S Moladkova (2015), in five dimensions (physical working conditions, workplace social conditions, self-management, self-control, self-organizing) and for The indipendent variable (productivity) is used the Achieve model by Hersey and Gold Smith, which has been designed in seven dimensions, such as (ability, clarity, help, incentive, validity, evaluation, environment). The statistical population of this study consists of all faculty members of Birjand University in the academic year of 2017. The sample consisted of 140 faculty members of the University of Birjand based on Morgan's table and structural equations formula for sample size. For data analysis, is used descriptive statistics including mean indexes, standard deviations and frequency tables, and confirmatory factor analysis also to examining the assumption used the Smart PLS and SPSS (21) software. Findings: According to confirmation of research hypotheses at 95% confidence level, physical, social working conditions of the workplace, self-management, self-control, self-organization have a significant effect On the productivity of faculty members, Considering the significant level obtained for the variables of working conditions and working practices, these variables are significant in the model Conclusion: according to the positive coefficients obtained for each of the two variables, It can be concluded that these two variables have a direct and significant effect on the productivity of faculty members Of course, by comparing the standard coefficient of two variables, concluded that the working conditions variable has more effect on the productivity of the faculty members than working conditions variable

Application of mechanical diagnosis method by oil monitoring tests results in time and economic savings. On the other hand the key to diagnosis and failure identification is data analysis of the tests. But currently in order to process the data into useful information we need highly expert skills that are not so easily available and can also be accompanied by human errors. Thus adopting suitable diagnosis models are very useful and could a necessity. The case study for research is MF399 tractor engines (Pekins 1006-6) which were used in AHVAZ MIANAB agro industries. In order to appropriate model, four major fault categories were identified and statistically analyzed as follow:1.Faults related to wear of ring, piston and cylinder sleeve. 2.Faults related to wear of crankshaft bearings. 3.Faults related to wear of ring, piston, cylinder sleeve and crankshaft bearings.4.Faults related to wear of cylinder sleeve. Multivariable regression formulas of each category were developed by statistical and mathematical methods and were examined by t student and F tests. Excluding the 4 category, all categories were confirmed by a good reliability.