Machinability analysis in Drilling Composites and drilling woven GFR/epoxy composites using the SPSS Method

Author:

Chinnasami Sivaji1,Ramachandran M1,Vidhya Prasanth1

Affiliation:

1. REST Labs, Kveripattinam, Krishnagiri, Tamil Nadu, India

Abstract

Drilling processes in fiber-reinforced polymer composites Composite structures are essential for assembly and fabrication of parts. The economic impact of rejecting the drilled area, when reaching the assembly stage, it is important to consider the associated loss. Therefore, the motivations in drilling E-Class Fiber Reinforced Epoxy (GFRE) composites, this explains cutting conditions on torque and wear Feed, speed and pre-drill wear values. Four feeds (0.056, 0.112, 0.22, 0.315, 0.45 mm/rev) and three speeds (6.41, 12.71, 20.25, 32.03, and 50.63 m/min) and five pre-drill wear values and four artificially introduced wears) were used. Values; W = 7, 19, 26, 34 All samples are 8 mm diameter holes Drilled using a cemented carbide drill bit. Current In work, Multi-linear Regression models were used were used, Parameters of mechanical properties are related to: Thrust, torsion, peel-up, delamination, push-out delamination, Drill wear and machining parameters such as surface roughness before: feed and speed. Perforated model has high resolution; Scanning is done using flatbed color scanner, then to estimate the delamination factor, Image analysis was performed using Corel DRAW software. Multi-variable regression analysis significant coefficients of each variable, contribution is made to promotion and elimination. Laminate thickness on torque and displacement factors the results illustrate that there are significant effects. Cronbach's alpha value for the model is 0.924. Speed, Wear, Feed, Ft, T, Del.Peel, Del.Push and Ra. Results: the Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is 0.924 which indicates 92% reliability. From the literature review, the above 50% Cronbach's Alpha value model can be considered for analysis

Publisher

REST Publisher

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1. A Study On Knowledge Base and Skill Development in Financial Accounting Using The SPSS Method;Journal on Innovations in Teaching and Learning;2024-06-11

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