Attribute based Specification, Comparison and Selection of Nanoactuator Elements
Tanvir Singh1, V. P. Agrawal2
1Tanvir Singh, Department of Mechanical Engineering, Dronacharya College of Engineering, Khentawas, Farrukh Nagar, Gurgaon-122506, Haryana, India.
2Dr. V.P. Agrawal, Department of Mechanical Engineering, Thapar University, P.O. Box 32, Patiala-147004, Punjab, India.
Manuscript received on May 10, 2014. | Revised Manuscript Received on May 12, 2014. | Manuscript published on May 18, 2014. | PP:01-14 | Volume-1, Issue-6, May 2014.
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Organizations are deploying well designed nanoactuators supporting converged applications of defence, mechanical industry, and biological applications, etc. Optimum selection of nanoactuator elements for R & D of nanodevices for given application satisfying desired aims and objectives is a multiple attribute/criteria/objective decision making problem. The paper proposes technique for order preference by similarity to ideal solution (TOPSIS) to evaluate and rank nanoactuator elements in the presence of multiple attributes for solving the nanoactuator elements selection problem. The method normalizes attributes of nanoactuator elements to nullify the effect of different units and their values in the range of 0 to 1. The relative importance of different attributes of nanoactuator elements for different applications is considered. Euclidean distance of alternatives from these best and worst solutions of nanoactuator elements leads to the development of proximity /goodness/suitability index for ranking of nanoactuator elements. The method ensures that optimally selected nanoactuator elements are closest to the hypothetical best and farthest from the hypothetical worst solution. Research methodology in the form of step-by-step procedure is implemented with the help of an illustrative example.
Keywords: Nanoactuator elements selection; MADM; TOPSIS; Pertinent attributes; Weighted normalization; Ranking;