Design Analysis And Modification Of Fire Fighting Machine

Ng, Yin Teng (2010) Design Analysis And Modification Of Fire Fighting Machine. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

In this project, analysis and optimization of the current design of fire fighting machine is make using Computer-Aided Engineering (CAE) software. The main focus of the optimization is to reduce the weight of the fire fighting machine to increase its efficiency. The reduction of the total weight of the machine will lower the power consumption and expand the time of operation. In this project, use four important elements in design analysis and modification process begin with problem formulation to stability analysis, structural analysis and optimization. In formulation, all information about the similar machines is gathered. Besides, related study such as factor of safety is performed. In stability analysis, allowable reduction in mass is determined. Manual calculation is made in determining the moment of force at nozzle. The pressure of maximum 12 bars was use as water flow through the nozzle. Bernoulli‟s equation is used to determine the force at nozzle due to 12 bar water flow. The moment of force is determined from the force calculated. The allowable mass reduction is determined directly from the different between total moments of force to the minimum moment to maintain the machine stability. The possible overweight component is detected and analyzed using SolidWorks Simulation 2009. The current fire fighting machine‟s structure factor of safety (FOS) is obtained through the structural analysis. This FOS value will be the reference in optimization process. Besides, from the stress plot of the analysis result, relatively high stress area is determined. Optimization is performed on the machine‟s structure by reference to the result from the structural analysis. The optimization stops at third iteration for nozzle structure and fourth iteration of body structure, where the minimum factor of safety of the both structure close to the target FOS value. Conclusion base on the analysis and optimization result was done. Besides, some recommendations were proposed for future work.

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