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Statistical Characterization of Process Variables on the Operation of Continuous Tracked Vehicles


Affiliations
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, Colombia
2 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla,, Colombia
 

Background/Objectives: The implementation of Design of Experiments as a tool for the study of process variables related to the operation of some types of industrial machinery, such as Continuous Tracked Vehicles, as a base for optimization processes that allow establishing an operational point with the most efficient use of these vehicles. Methods: Using a factorial design, a series of experiments were realized, with some process variables as design factors, each one arranged with two design levels. From these, statistical methods were used to validate the normal distribution of the results and at the same time, to establish mathematical expressions that correlate said parameters. Findings: The results allowed the determination of the factors that can be neglected in optimization processes, due to their low influence of the operation characteristics; besides, it was demonstrated that certain parameters, as the terrain, have little or no influence on the vehicle performance, which serves as a valid criterion to evaluate future investments inload transport systems. Application: To develop a tool for the prediction of the operation characteristics of Continuous Tracked Vehicles which will be used for the estimation of potential savings generated by more efficient use of these machines?
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  • Statistical Characterization of Process Variables on the Operation of Continuous Tracked Vehicles

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Authors

Jorge Duarte Forero
Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, Colombia
Guillermo E. Valencia
Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, Colombia
Luis G. Obregon
Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla,, Colombia

Abstract


Background/Objectives: The implementation of Design of Experiments as a tool for the study of process variables related to the operation of some types of industrial machinery, such as Continuous Tracked Vehicles, as a base for optimization processes that allow establishing an operational point with the most efficient use of these vehicles. Methods: Using a factorial design, a series of experiments were realized, with some process variables as design factors, each one arranged with two design levels. From these, statistical methods were used to validate the normal distribution of the results and at the same time, to establish mathematical expressions that correlate said parameters. Findings: The results allowed the determination of the factors that can be neglected in optimization processes, due to their low influence of the operation characteristics; besides, it was demonstrated that certain parameters, as the terrain, have little or no influence on the vehicle performance, which serves as a valid criterion to evaluate future investments inload transport systems. Application: To develop a tool for the prediction of the operation characteristics of Continuous Tracked Vehicles which will be used for the estimation of potential savings generated by more efficient use of these machines?

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DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i29%2F130447