Collaborative work to be presented at ASME 2015 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference

Event Date: August 3, 2015
Flow diagram of addressing the gap in the ecological consistency between scientific research and customer needs
Doctoral candidate Jaesik Hahn will present his work on "Integrating Design Methodology, Thermal Sciences, and Customer Needs to Address Challenges in the Hair Care Industry" at the ASME 2015 International Design Engineering Technical Conferences & Computers and Information (DETC) in Engineering Conference on August 3, 2015.

In collaboration with Professor Tahira Reid and the MTEC lab, Jaesik has been studying the impact of heat on hair and the interrelation between consumer needs and product design. His findings will be presented at DETC in session  DTM-12-1 Trends and Technologies Impacting the Design Process.

Paper #: DETC2015-46551

Date/Time: Monday, August 03, 2015 at 16:10 PM-17:50 PM

Abstract: Although the hair care industry is a multi-billion industry, there still remains a dearth in the available technologies and research methods to answer one simple question: What temperature and frequency of use will lead to permanent structural damage (i.e. heat damage) to curly hair? Currently, trained professionals in the hair industry cannot predict when heat damage will occur and often rely on heuristics and intuition in their hair care approaches. In addition, scientists that have conducted studies with heat and hair have often used European hair types which cannot be generalized to all ethnic groups; they have also conducted experiments that are not ecologically consistent with individuals’ use context. As a result, a number of lay scientists have emerged whose use contexts are ecologically valid, but are lacking the experimental and quantitative rigor that engineers can provide. In this work, we discuss an interdisciplinary approach to integrating customer needs, design methodology, and thermal sciences for application to the hair care industry. We discuss the formulation of a predictive model, the design of an experimental test-bed for collecting data, and present initial results.

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