Amirkabir University of Technology

About: Amirkabir University of Technology is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Nonlinear system & Fuzzy logic. The organization has 15254 authors who have published 31165 publications receiving 487551 citations. The organization is also known as: Tehran Polytechnic & Tehran Polytechnic University.

Simultaneous x-linking and antimicrobial finishing of cotton fabric

Abstract: This research work tries to achieve a multifunctional finishing on the cotton fabric by using environmentally friendly chemicals. Chitosan and N-(2-hydroxy) propyl-3-trimethyl ammonium chitosan chloride (HTCC) with different crosslinking agents including citric acid (CA), butane tetra carboxylic acid (BTCA), and glutaraldehyde (GA) were coapplied on the cotton fabric. This improves the laundering durability of antimicrobial treatment by formation of covalent bond between the crosslinking agent, antimicrobial agent, and cellulosic chains. Furthermore, it helps to enhance the crease resistance properties of the treated samples. The antimicrobial activities of the treated samples were tested after 15 laundering cycles. The whiteness and wrinkle recovery angle of the treated fabric were also examined. The glutaraldehyde treatment was superior to CA treatment in terms of prolonged antimicrobial activity of the samples after successive laundering. Also, the treated samples with glutaraldehyde showed a higher wrinkle recovery angle with excessive deterioration in whiteness when compared with CA and BTCA. The treated samples with CA and BTCA show good antimicrobial activity after successive laundering and improved wrinkle recovery angle. However, BTCA indicates a higher durability in comparison with CA and same durability after repeated laundering with glutaraldehyde. This can be achieved without yellowing and unpleasant odor. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 103: 178–185, 2007

Modeling landfill site selection by multi-criteria decision making and fuzzy functions in GIS, case study: Shabestar, Iran

Abstract: Landfilling is the most common method used for disposal of solid waste and selection of suitable landfill for municipal solid waste management is important part of urban planning. The aims of this paper are determining the constraints, criteria for landfill site selection according to present legislations in Iran, zoning potential of Shabestar city for construction of municipal landfill and selection of the most suitable sites. At first, by reviewing of internal and external literature, the criteria which were necessary to achieve the aims of study were determined. Then, conceptual model of landfill site selection steps and process was developed. After that, the required maps were collected from relevant organizations and prepared using geographic information systems (GIS) tool in order to use in the next steps. Finally, all criteria maps were standardized by fuzzy functions and entered in mathematical combination model. In this study, the fuzzy functions in ArcGIS 10 including linear, large, small and Gaussian were used. Weighting of criteria was performed by analytical hierarchy process (AHP) method using expert choice application and weighted linear combination (WLC) was chosen for integration of maps. Preliminary results of zoning showed that nearly 6.2 % of the study area has good suitability for municipal landfill. To select the best site among the candidate sites for Shabestar city, at first the sensitive analysis was performed and then the best site was selected based on required area, soil depth, dominant wind direction and visibility from residential area.