Integration of human knowledge and measured data for optimization of fabric hand

Abstract

This paper presents a new method for modeling the relationship between objective and subjective fabric hand evaluations and between adjusting parameters of fabric production and objective fabric hand features. In this method, fuzzy techniques, principal component analysis and other data analysis techniques are applied and human knowledge on fabric production and numerical data measured on instruments are used in a complementary way for selecting relevant physical features and extracting fuzzy rules. The effectiveness of this method has been shown through a number of knitted cotton samples.

Keywords:

• Fabric hand
• objective evaluation
• subjective evaluation
• fuzzy techniques
• PCA
• human knowledge

Notes

Ludovic J. Koehl was born in Paris, France, on August 12th, 1969. He received the “Ingenieur” degree from the “Ecole Nationale Supérieure des Arts et Industries Textiles (E.N.S.A.I.T)” Engineering Institute (France) in 1991, the Ph.D. degree in automation from the Université des Sciences et Technologies de Lille, France, in 1998. Since 1998, he has worked as Assistant Professor in the ENSAIT Textile Engineering Institute, Roubaix, France. His research interests include pattern recognition, data analysis, computer modelling and their applications in the textile industry. Since 1999, he is involved in the field dealing with the objective quality of textile products and the sensorial analysis. In this area, research works about the relationships between subjective and objective evaluations of the touch handle of fabrics have been done.

Xianyi Zeng was born in Tianjin, People's Republic of China, in 1963. He received the Bachelor Degree in Computer Science and Technology from Tsinghua University, Beijing, People's Republic of China, in 1986, Ph.D. and the Habilitation à Diriger des Recherches in automation from the Université des Sciences et Technologies de Lille, repectively, in 1992, and 2000. Since 2001, he works as a full professor in the ENSAIT Textile Engineering Institute, Roubaix, France. His research interests include pattern recognition, sensory analysis, intelligent technique-based complex system modeling and optimization and the applications in the textile industry.

Mehdi Sahnoun was born in 1976 in Tunisia. After obtaining his Textile Engineer Diploma in 1999, he obtained his Ph.D. degree at the University of Mulhouse (France) in 2002. Since February 2003, he is a Universitary Assistant at the Textile Studies Institute (isetkh—Institut Supérieur des Enseignements Technologiques de Textile de Ksar Hellal—Tunisia).

Marie-Ange Bueno was born in 1969 in France. After obtaining her Textile Engineer Diploma, she obtained her Ph.D. degree at the University of Mulhouse (France) in 1995. She was awarded two thesis prizes by the Academic French Congress of Mechanics (AUM) and the International Man-made Fibres Committee (CIRFS) in 1995. Since 1997, she is an Assistant Professor at the College of Textiles of Mulhouse (ENSITM—ÉCole National Supérieure des Industries Textiles de Mulhouse). In 2002, she became an Associate Professor.

Marc Renner was born in 1957 in France. After obtaining his textile Engineer Diploma, he obtained his Ph.D. degree at the University of Mulhouse in 1984. He became Doctor és Sciences in 1986 at the University of Mulhouse. He has worked since 1982 in the engineering of textile processes and sensors in textile. Since 1988, he has been full professor of mechanics and spinning processes at the University of Mulhouse. Since 1989, he has been the head of the research group of mechanics and control engineering of the École Supérieure des Sciences Appliquées pour l'Ingénieur—Mulhouse (ESSAIM). His research group works in the field of textile, mechanics and sensor development. Since 1995, he has been the head of the College of Textiles of Mulhouse (ENSITM—École Nationale Supérieure des Industries Textiles de Mulhouse) in the University of Mulhouse. For the year 2003, he is the President of the Fiber Society (a fiber science learned society of America).