Abstract
The term “design of experiments” (DOE) refers to a subfield of applied statistics that focuses on the planning, conducting, analyzing, and interpreting of controlled experiments to determine the variables that affect the value of a parameter or set of parameters. It is a methodical approach to figure out the connection between the inputs and outputs of a process. The main objective of this research was process optimization of rubber–metal bonded products using DOE by full factorial method. This helps in obtaining the best input parameters for the process resulting in an optimized product and thereby saving time and cost. It’s a method for determining the relationship between factors affecting a process and the process’s output. It allows for the manipulation of multiple input factors in order to determine their impact on a desired output (response).
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Shah, L., Markose, T. (2023). Process Optimization Using Design of Experiments on Rubber–Metal Bonded Products Using Full Factorial Method. In: Vasudevan, H., Kottur, V.K.N., Raina, A.A. (eds) Proceedings of International Conference on Intelligent Manufacturing and Automation. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-7971-2_47
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DOI: https://doi.org/10.1007/978-981-19-7971-2_47
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