Abstract
Evolution of technology is as essential as it is inevitable, and as technology improves so does the advancements in the materials used. Fundamentally, the need for light yet strong material is the one we need to address. One such material is Glass Fiber Reinforced Plastic (GFRP). This composite material is being widely used in various industries like aerospace, chemical and construction industries. Eventually, this calls for an economical manufacturing method for GFRP in order to facilitate an automated and therefore, quick production of this composite. However, it is also vital to maintain the accuracy in these methods to obtain close fits and tolerances. This paper is an attempt to demonstrate the implementation of Desirability Functional Analysis combined with Fuzzy logic to optimize the machining parameters for turning of GFRP. Aim of the experimentation was to achieve the best surface characteristics for the given input parameters. The input parameters which we selected were cutting speed, tool nose radius, feed rate and depth of cut at three different levels of each. L27 orthogonal array based on Taguchi philosophy was used to conduct the experiment and output parameters selected were three surface roughness characteristics Ra, Rt and Rsm. Optimum combination of input parameters for best surface finish characteristics is obtained at A1B3C1D2, i.e. tool nose radius at level 1 (0.4mm), cutting speed at level 3 (200mm/min), feed rate at level 1 (0.05mm/rev) and depth of cut at level 2 (1mm). Analysis of Variance (ANOVA) was also performed to find the input parameter of which the impact is maximum on the output response and found it to be feed rate. A confirmation test is also carried out to validate the results obtained from this optimization. Therefore, the implementation of Desirability Functional Analysis coupled with Fuzzy logic is an effective approach in optimizing the machining parameters of GFRP.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
