The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-767
Full Name: Les Sztandera
Position: Professor
Age: ON
Sex: Male
Address: Computer Information Systems, Philadelphia University, Philadelphia, PA 19144
Country: UNITED STATES
Tel: 1-215-951-5356
Tel prefix:
Fax:
E-mail address: SztanderaL@PhilaU.edu
Other E-mails:
Title of the Paper: Identification of the Most Significant Properties Influencing Tactile Fabric Comfort Using Regression Analysis
Authors as they appear in the Paper: Les Sztandera
Email addresses of all the authors: SztanderaL@PhilaU.edu
Number of paper pages: 10
Abstract: Engineered fabrics are being used increasingly in commercial and domain-specific systems. Such fabrics with specified consumer-desired characteristics can be computationally designed. Through the use of an extensive database that correlates sensory and mechanical properties with tactile comfort assessments, desired comfort can be predicted by measuring a limited number of properties. In this paper we are focusing on the most significant sensory and mechanical properties influencing tactile fabric comfort. Output systems can be optimized to exhibit the highest level of comfort by engineering a fabric with specific sensory and mechanical properties. This paper examines stepwise regression analysis and identifies the most significant properties influencing tactile fabric comfort. The reported Beta coefficients are the standardized regression coefficients. Their absolute magnitudes reflect their relative importance in predicting comfort values. A universe of 48 fabrics!
is examined to analyze and map the relations. The initial 17 mechanical and 17 sensory parameter sets are reduced to sets of 1 to 4 and 1 to 5 properties, respectively. Adjusted R2 values were 0.360 to 0.657 for mechanical and 0.713 to 0.863 for sensory parameters, reflecting sound goodness-of-fit measures, and providing reasonable ways for identifying the mechanical and sensory properties that are most significant influences on tactile fabric comfort. Elongation and hysteresis of shear force were found to be the most influential mechanical properties, while compression resilience rate and graininess were found to be the sensory properties that most impacted comfort.
Keywords: tactile perception, fabric mechanical properties, stepwise regression analysis, standardized importance factors, textile property analysis
EXTENSION of the file: .doc
Special (Invited) Session: Identification of the Most Significant Sensory and Mechanical Properties Influencing Tactile Fabric Comfort
Organizer of the Session: 603.392
How Did you learn about congress:
IP ADDRESS: 202.123.15.15
