This project presents the simulation of a three-phase generator. The aim is to study and analyze the condition of the generator functions. By simulating the operation of the generator used in factory which use this generator as a backup power source to replace primary power source of electricity-supplier. In this test can start or stop the generator to determine the parameters at that time. The generator is used when the main electrical power distribution error and the generator is disabled when electric power system of electricity-supplier back to normal.

The study of Research and Development of Model for Building Strong Community on Marketing of Samutsongkram Community Enterprises. It was aimed to investigate factors affecting effectiveness of running this enterprise for further improvement and to figure out possible path for enhance productivity of small community enterprises. The subject of this study consisted producers Community Enterprises entrepreneurs who participating seminar in improving management and product designs. The participants included 149 community enterprises group 200 participants in total. The result stated that 1) Producing management ranked high level while each aspect yielded different results. Finance and accounting ranked the highest producing and cooperatingranked respectively lower. The administrative was estimated as following; 2) Considering factors affecting effectiveness of Community on Marketing of Samutsongkram Community Enterprises ranked the high level in overall. Looking at each aspect budgets and learning improvement ranked the highest while participants ‘knowledge and gathering budgets and resources ranked the lowest. 3) Factors influencing effectiveness of community enterprise included planning controlling cooperating marketing producing administrating accounting organization managing affected the overall efficiency of Samutsongkram Community Enterprises predicted at 97.60%. 4) Focus group analysis was done by SWOT Analysis presented strength weakness opportunity and threat of community enterprise planning from preparation implementation and application as following;Preparation step: Arranging seminar in designing and product design. Having financial support field trip for figuring out uniqueness of Samutsongkram Community Enterprises Implementation step: Supporting distribution channels enhancing production by increase machine capacity setting up standard guarantee center and encouraging new group of small and minor community enterprise Application step: Promoting products of Samutsongkram Community Enterprises by different channels of advertisement improving brand of the group and also information technology to support Samutsongkram Community Enterprises.

This research aims to predict the thickness loss of parabolic forming by using hydromechanical deep drawing (HMD) process. The methodology used is the finite element method on the uncertainty of the mechanical properties for 1 mm thickness SPCC sheet metals. The properties consisted of three aspects: strength coefficient (K) strain hardening exponent (n-value) and plastic strain ratio for all three axis (r0 r45 and r90). Multiple simulations were completed by randomly selecting K n r0 r45 and r90 values following the distribution obtained from the uniaxial tensile test. The results would be analyzed by using the regression equation to create the equation to predict the thickness loss of the test pieces obtained from the formation process using the K n r0 r45 and r90 variables without the use of finite element method. This would results in a decrease in the simulation time. Based on 30 experiments of uniaxial tensile test it shows that the sheet metal properties are normally distributed. After that 60 cases of the five variables were randomly selected to simulate the formation by using the finite element method. Finally the results obtained from the aforementioned simulation is analyzed and generated into a regression equation. From the comparison between the value predicted from the regression equation and the result obtained from the formation process it can be seen that the regression equation can effectively predict the thickness loss when the five variables are under the same distribution properties. However the efficiency will decrease when the values of the five variables are beyond the distribution properties obtained from the experiment. In addition the uncertainty of mechanical properties of sheet metal in the simulation displays the chances of discovering test pieces with over 40% thickness loss. The simulation resulted in 5 damaged test pieces accounting for 8.33% of the total process.

This objective research to study the possibility of used properties pozzolan material for concrete cement the ternary blend by fly ash metakaolin and silica powder by replacement cement partially on the strength for Flexural and impact by replace Portland cement. Consideration of concrete by varying the ratio there are three values are (w/d) of 0.38 0.55 and 0.8 follow on standards ACI 211.1-91 and variable amounts of replacement cement some. The ternary blend of the fly ash metakaolin and silica powder of percentage 0 15 20 and 25 and by weight of cement. and the control specimens (w/b) without contain fly ash kaolin and silica powder the slump test in the range of 3-5 cm and the use super plasticizer to control the slump test of concrete. By casting specimens of cylindrical diameter 10x20 cm cube 10x10x10 cm and the beam size 10x10x35 cm after curing 28 days and test compressive tensile and flexural strength of concrete all specimens The results showed that The increase will help improve the quality of the concrete physical properties 35 percent up on the cement with clay 15 percent will have the strength to most of the compression is reduced. The increased of compressive and Tension strength as the percentage decrease when replacing cement with fly ash 35 percent up on replacing cement with clay to pull the maximum percentage of 10 bending when replacing cement with clay at a ratio of 10 percent is paid bending. The maximum value of fly ash the flexural increased replace cement in the ratio of 50 per cent are increased the concrete with the most and the last place of cement. As a result of the porosity of the concrete with lower amounts of tightness concrete has increased. Fuzzy logic model is presented for predicting the strength for Flexural and impact by replace Portland cement. The result of the study from experimental case the graph of membership function are present (low medium and high). The results showed that the model Fuzzy Logic. Can be used fuzzy logics to predict as well

The objectives of this research are to propose a linear mixed model (LMM) for spatial time series with a seasonal component to apply the proposed model to monthly rubber yields in southern provinces of Thailand to forecast rubber yields in southern provinces of Thailand and to compare the performance of the proposed model to the Holt-Winters Additive Exponential smoothing model (Holt-Winters ES) and the seasonal autoregressive integrated moving average model (SARIMA). The proposed model is a linear mixed model (LMM) with spatial effects following a conditional autoregressive model (CAR model). Seasonal dummy variables and Fourier terms are two methods used to account for the seasonal effects. A Bayesian method is used for parameter estimation. The estimated monthly yields are used to forecast the monthly rubber yields. The dependent variables are the monthly rubber yields in each province. The effects considered are spatial effects heterogeneity effects and seasonal effects. The data are secondary data at a provincial level. The results show that the effects influencing on the amount of rubber yields are spatial heterogeneity and seasonal effects. The proposed model with sesonal dummy variables is the most appropriate model copared to the LMM with Fourier sesonal effects Holt-Withers ES and SARIMA. The mean absolute errors (MAE) are smallest in both model fitting and model validating parts. The proposed model with sesaonal dummy variables should be the first consideration for forecasting spatial time series with a seasonal component.