Sumit Mandal
Oklahoma State University, Design, Housing and Merchandising, Faculty Member
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- Dr. Sumit Mandal is a Tenure Track Assistant Professor with specialization in Textile Science. Previously, he worked as a Postdoctoral Scientist in the Laboratory for Biomimetic Membranes and Textiles at Empa - Swiss Federal Laboratories for Materials Science and Technology, Switzerland. Prior, he served as an Assistant Professor of Textiles in India. Dr. Mandal encourages student-centered learning and implements his knowledge on textiles for solving human problems and enh... moreDr. Sumit Mandal is a Tenure Track Assistant Professor with specialization in Textile Science. Previously, he worked as a Postdoctoral Scientist in the Laboratory for Biomimetic Membranes and Textiles at Empa - Swiss Federal Laboratories for Materials Science and Technology, Switzerland. Prior, he served as an Assistant Professor of Textiles in India. Dr. Mandal encourages student-centered learning and implements his knowledge on textiles for solving human problems and enhancing human lives. His current research primarily focuses on functional textiles for the protection and comfort of human beings under different normal and hazardous ambient environment. He was recognized as a ‘Killam Doctoral Scholar’ and ‘Andrew Stewart Doctoral Fellow’ in the field of Natural Science and Engineering.edit
Fabric-based protective clothing is widely used for occupational safety of firefighters/industrial workers. The aim of this paper is to study thermal protective performance provided by fabric systems and to propose an effective model for... more
Fabric-based protective clothing is widely used for occupational safety of firefighters/industrial workers. The aim of this paper is to study thermal protective performance provided by fabric systems and to propose an effective model for predicting the thermal protective performance under various thermal exposures. Different fabric systems that are commonly used to manufacture thermal protective clothing were selected. Laboratory simulations of the various thermal exposures were created to evaluate the protective performance of the selected fabric systems in terms of time required to generate second-degree burns. Through the characterization of selected fabric systems in a particular thermal exposure, various factors affecting the performances were statistically analyzed. The key factors for a particular thermal exposure were recognized based on the t-test analysis. Using these key factors, the performance predictive multiple linear regression and artificial neural network (ANN) models were developed and compared. The identified best-fit ANN models provide a basic tool to study thermal protective performance of a fabric.
This study explores the behavior of textile fabrics under thermal exposures. The performance of thermal protective textile fabric systems with different structural features was evaluated under laboratory simulated thermal exposures. The... more
This study explores the behavior of textile fabrics under thermal exposures. The performance of thermal protective textile fabric systems with different structural features was evaluated under laboratory simulated thermal exposures. The study demonstrated that the protective performance of textile fabric systems varies with different types of thermal exposure. To provide effective protection in flame and radiant-heat exposures, the most important fabric properties to address are emissivity, absorptivity and thermal resistance. In hot surface exposures, the compression property of the fabric systems is the primary feature to consider for protection. Hot water and steam exposures produce mass transfer through fabrics. In the presence of water or steam jet pressure, fabric compression is a primary factor in protecting the human body. The findings obtained in this study can be used to engineer fabric systems that provide better protection from various thermal exposures.