Coding, Evaluation, Comparison, Ranking and Optimum Selection of Supercharger Thapar University

Format:

Conference/Event

Author/Creator:

Singh, Singh, author.

Contributor:

Agrawal, Vishnu

Conference Name:

SAE 2016 World Congress and Exhibition (2016-04-12 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2016

Summary:

AbstractThe paper expresses an important issue of optimum selection of a supercharger for a given application from the global market in the presence of a variety of superchargers available commercially off the shelf (COTS). Coding scheme suggested is based on developing an attribute based scheme for all superchargers available off the shelf. N-digit coding scheme provides in-depth understanding of all the attributes to be considered by the customers, designers, engineers and engineers of the industry for further improvement. We also aim to create exhaustive database of superchargers along with their attributes. The paper adopts a MADM-TOPSIS (Multiple Attribute Decision Making -Technique for Order of Preference by Similarity to Ideal Solution) technique and graphical methods that are being used widely in different disciplines and are published. The method ensures that the optimum supercharger is closest to the hypothetically best solution and farthest from the worst solution. This technique can easily be extended to other components and subsystems of automobile vehicles. The technique is also illustrated by an example

Notes:

Vendor supplied data

Publisher Number:

2016-01-0293

Access Restriction:

Restricted for use by site license