2017Unpublished venueOpen access

Taguchi Design and Response Surface Methodology for Polymer–Metal Joining

Lucian A. Blaga, Gonçalo Pina Cipriano, Arnaldo Ruben Gonzalez, Sergio T. Amancio‐Filho

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Abstract

This chapter presents the basics of the Taguchi design of experiments (DoE) and response surface methodology (RSM), with focus on their application for a profound understanding and optimization of metal-polymer joining technologies. It also presents case studies for Taguchi design and Response Surface Method that are examples from research works within the Advanced Polymer-Metal Hybrid Structures Group at the Helmholtz-Zentrum Geesthacht, Germany, and its international cooperation projects. The most common RSM DoEs are the three-level full factorial, the Box-Behnken, and the Central Composite. The selection of the Taguchi DoE in substitution to a full-factorial DoE has shown to be an interesting tool to an initial understanding of microstructure and mechanical performance of friction spot double-lap joints. The DoE approach designed by Taguchi is a powerful statistical method that enables optimizing the performance of a product, process, design, and system with a significant reduction in experiments, time, and costs.

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What this paper is about

This chapter presents the basics of the Taguchi design of experiments (DoE) and response surface methodology (RSM), with focus on their application for a profound understanding and optimization of metal-polymer joining technologies. It also presents case studies for Taguchi design and Response Surface Method that are examples from research works within the Advanced Polymer-Metal Hybrid Structures Group at the Helmholtz-Zentrum Geesthacht, Germany, and its international cooperation projects. The most common RSM DoEs are the three-level full factorial, the Box-Behnken, and the Central Composite. The selection of the Taguchi DoE in substitution to a full-factorial DoE has shown to be an interesting tool to an initial understanding of microstructure and mechanical performance of friction spot double-lap joints. The DoE approach designed by Taguchi is a powerful statistical method that enables optimizing the performance of a product, process, design, and system with a significant reduction in experiments, time, and costs.

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Available abstract

This chapter presents the basics of the Taguchi design of experiments (DoE) and response surface methodology (RSM), with focus on their application for a profound understanding and optimization of metal-polymer joining technologies. It also presents case studies for Taguchi design and Response Surface Method that are examples from research works within the Advanced Polymer-Metal Hybrid Structures Group at the Helmholtz-Zentrum Geesthacht, Germany, and its international cooperation projects. The most common RSM DoEs are the three-level full factorial, the Box-Behnken, and the Central Composite. The selection of the Taguchi DoE in substitution to a full-factorial DoE has shown to be an interesting tool to an initial understanding of microstructure and mechanical performance of friction spot double-lap joints. The DoE approach designed by Taguchi is a powerful statistical method that enables optimizing the performance of a product, process, design, and system with a significant reduction in experiments, time, and costs.

Key concepts: Taguchi methods, Design of experiments, Response surface methodology, Factorial experiment, Manufacturing engineering, Orthogonal array, Fractional factorial design, Mechanical engineering

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