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@article{159339,
        author = {Kavilal E G and Sreejith B J},
        title = {LASER MACHINING MACHINABILITY INDEX USING GTMA},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {806-812},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159339},
        abstract = {Advanced machining techniques like laser beam machining are utilized for a variety of tasks like cutting, turning, milling, drilling, etc. LBM is dependent on a number of variables that affect the entire machining process. The efficiency, economy, and overall quality of the laser beam cutting process are determined by a wide variety of process parameters. The machinability of the work material being processed has an impact on all machining operations. As a result, the goal of this study is to assess the LBM's machinability index utilizing Graph Theory and a Matrix Approach. The study tries to identify various aspects of machinability and their relative weights in that regard. After determining the properties, a mathematical function will be created using the matrix method and graph theory. A visual representation of considering characteristics with their related interactions will be created as an attribute digraph. Matrix expression will be used to further represent this digraph. The permanent function calculation that yields the numerical values of the Machinability Index is arrived from this initial matrix. Additionally, in this paper a permanent machinability index for the proposed model is demonstrated.},
        keywords = {},
        month = {},
        }