ANALYSIS OF METHODS FOR PREDICTING ACCURATE ACCOMMODATION IN PASSENGER VEHICLES
Open Access
- Author:
- Watson, Jonathan
- Graduate Program:
- Mechanical Engineering
- Degree:
- Master of Science
- Document Type:
- Master Thesis
- Date of Defense:
- March 20, 2019
- Committee Members:
- Matthew B Parkinson, Thesis Advisor/Co-Advisor
Eric Russell Marsh, Committee Member
Karen Ann Thole, Committee Member - Keywords:
- Human Factors
Ergonomics
Design for Human Variability
Multivariate Design Methods - Abstract:
- The objective of this thesis is to assess and compare modern statistical methods of vehicle packaging design for the sake of improving accuracy. Accurate design of a vehicle’s packaging is critical for the safety and comfort of its user population while also being essential in keeping the costs of manufacturing low. An individual is deemed accommodated by a design if they can comfortably interact with it as they prefer. This study seeks to employ a method known as the Cascade Prediction Model in order to posture individuals in vehicle packages. The use of the Cascade Prediction Model in conjunction with a virtual fit test results in a lower overall accommodation rate compared to the rate intended by the current design standards put forth by the Society of Automotive Engineers. This implies that designs generated using the current methods likely accommodate a lower percentage of individuals than they predict. The results of this thesis suggest that the current Society of Automotive Engineers J standards should be revised in order to reflect modern methods that produce better recommendations in the packaging design process. By implementing an approach such as the Cascade Prediction Model, packages that accommodate the correct percentage of individuals can be designed.