Abstract:
The objectives of this research were: 1. To study the causes of problem in misapplied installation of bearing, the needs and the required properties of the testing machine model for quantifying the life-time of bearing: 2. To design and develop the testing machine model for quantifying the life-time of bearing: 3. To test the efficiency and quality of the testing machine model for quantifying the life-time of bearing: 4. To analyze the research benefits from the research; and 5. To transfer the technology of the testing machine model for quantifying the life-time of bearing. The research tools were composed of: 1) the questionnaire and the interview form; 2) the testing machine model for quantifying the life-time of bearing; 3) the testing recording list of efficiency and quality, 4) the questionnaire of quality evaluation; and 5) the satisfaction form of technology transfer. For the research methodology, the researcher interviewed the target groups comprising lecturers, staffs, entrepreneurs and students in Mechanical Program for studying the caused of problem in misapplied installation of bearing, the needs of knowing the reduced life-time of bearing and the required properties of the testing machine model of quantifying the life-time of bearing. After that, there was the focus group discussion that the collected data were used to design and develop the testing machine model, which was tested for efficiency and quality, evaluated for the efficiency and quality from experts, and then evaluated for the satisfaction of technology transfer of the testing machine model from 30 students in Mechanical Program, Rajamangala University of Technology Isan, Surin Campus, by simple random sampling with lottery method. The statistics used in this research were percentage, mean, and standard deviation (S.D.)
The research results were found as the followings:
1. The causes of problem in misapplied installation were mainly the mismatched flange mounted on the motor shaft. The needs for quantifying the life-time of bearing were the composition of bearing at the supported item and the supported item of outside bearing in one side of the edge. And, the required properties were mainly the adjustment for detecting the center distance.
2. The testing model for quantifying the life-time of bearing sized 6080100 centimeters comprising 1) weight supporting set, 2) distance adjustment set, 3) compressing set, 4) power transfer set, that could be sued for quantifying the life-time of bearing.
3. The efficiency of the testing machine model for quantifying the life-time of bearing was found that the average test speed for quantifying the life-time of bearing was 2,953.63 rpm, the average test time was 10.53 h, and the average collected test round was 1,889,488 rounds.
The tested bearings bearings were investigated for smooth surface damage values caused by wear marks and found that the damage values at Outer Ring (D), Inner Ring (D) and Raceway Average (Ra,Rz) were 0.389, 2.444/0.536, 3.742/ 0.330, 0.439 microns, respectively. The overall quality evaluation was at the highest level with an average value at 4.70 and standard deviation at 0.46.
4. The analytical results of research benefits were found as the followings: 1) the fruitfulness of research was accorded with the research objectives. 2) the efficiency of research was qualified and suitable, which the testing machine model can be sued for quantifying the life-time of bearing or can be adjusted for misapplied installation for reducing the life-time of bearing, and for reducing the maintenance cost of machine, 3) the impacts of research were the generation of the testing machine model for quantifying the life-time of bearing, which this technology can be transferred to the industrial sector in the government and private organizations, and can be applied as an equipment for the benefits of education.
5. The results of technology transfer found that the sampling groups who were received the knowledge and understanding of the technology, and then adjusted the installation of bearing correctly. Besides, the satisfaction of technology transfer of the testing machine model in overall was in good level with mean =4.24, S.D.= 0.79.