Optimization of mechanical system reliability of cement grinding plant using gridsearch algorithm Mary Grace A. Bretania... [et.al].

Thesis (Bachelor of Science in Mechanical Engineering) -- University of Rizal System-Morong.

EXECUTVE SUMMARY: The objective of the study is to build a model and identify the optimum viable mechanical system configuration of a reference cement finish grinding plant under predefined set of economic, process and compliance with intentional industry standard. There are few studies which directly focus on the optimization of mechanical system design of a cement finish grinding plant. Such that most of the studies available about cement plants are concerned with the hazardous emission of gases like carbon dioxide and about the excessive consumption of electrical energy. To understand optimization, a lot of journals about maximizing reliability, reliability redundancy allocation, task allocation or redundancy scheduling were read and studied. All of this were found to maximize the system or the subsystem components and provide the best configuration whether it is a series, parallel or series-parallel, bi or multi-objectives. The study used GridSearh Algorithm to give parallel unit have much higher system reliability, and elimination of series connection of identical unit, enhances the system reliability. The adaption of acceptable changes in the system configuration resulted into better system reliability. The research considered various parameters for different components that are present in a reference cement mill plant. The system reliability is computed and the budgetary requirements were defined and it determines if the total project cost are reasonable. The design result of the new system was adapted following the procedures. First is, computing the existing reference system reliability of the cement mill plant and this was used as a basis for improvement. The existing data shows that the system was 50.03% system reliability, has a production of 180,108 tons/year and total cost project of Php 130,568,351.50. In the second step, series connection is eliminated and it resulted to 53.22% system reliability, 191,592 tons/year of production and 127,535,711.10 total cost. Third is by using the parallel unit system and the simulated result showed 58.51% system reliability, 210,744 tons of cement per year and Php 148,785,255.60 project cost. And the last step, where all components run as one showed 62.47% system reliability. Therefore, optimization procedure using Gridsearch algorithm and elimination of series connection of identical units in the system increases reliability. The increased resulted to 224,849 tons of cement per year and Php 114,504,611.60 total project cost. Based on the summary of findings, maximizing the system reliability of cement plant increase the production of cement and has become a solution to meet the increasing demand for cement as economic activity of the increasing population and industries increases. Sustaining continues supply of cement is the vital role of cement industries and continues improvement in its system must always be considered to attain optimization. For further study, the researchers recommended for more optimization procedures to increase and sustain the reliability of a component in a production system like cement industry, the academe, especially URS College of Engineering Mechanical Engineering Department and future researchers.