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6 June 1997 Multisensor monitoring of drilling in advanced fiber-reinforced composites
Anthony Chukwujekwu Okafor; A. Sherif El-Gizawy; E. Ugo. Enemuoh
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Proceedings Volume 3042, Smart Structures and Materials 1997: Smart Sensing, Processing, and Instrumentation; (1997) https://doi.org/10.1117/12.275762
Event: Smart Structures and Materials '97, 1997, San Diego, CA, United States
Abstract
This paper investigates the main effects of drilling parameters (cutting speed, feed rate, tool geometry, and tool material) on cutting force and hole quality during drilling of magnamite graphite fiber reinforced polyether ether ketone (AS4/PEEK) composites. The AS4/PEEK is a one hundred and ninety nine-ply [0 degree(s)/45 degree(s)/90 degree(s)/-45 degree(s)]s laminate composite. Taguchi orthogonal array L9 technique is used to plan a 34 robust experiment. The workpiece is supported on a fixture and mounted on a 3-component piezoelectric transducer Kistler type 9257A model. The response signals (cutting force and acoustic emission) are acquired simultaneously during the drilling experiments. The signals are instantaneously sampled and stored in a pentium computer for later processing. The digitized signals are processed in time domain. Surface profilometer is used to measure the surface roughness of the drilled holes. The optimum drilling condition is determined by meticulous examination of the drilling parameter's main effects. The responses are analyzed based on Taguchi's signal-to-noise ratio as opposed to the measurement data and analysis of variance. The results show that sensor signals, delamination and surface roughness measurements are well correlated with the drilling parameters. Optimum drill tool materials, drill point angle and cutting conditions have been determined.
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Anthony Chukwujekwu Okafor, Anthony Chukwujekwu Okafor, A. Sherif El-Gizawy, A. Sherif El-Gizawy, E. Ugo. Enemuoh, E. Ugo. Enemuoh, } "Multisensor monitoring of drilling in advanced fiber-reinforced composites", Proc. SPIE 3042, Smart Structures and Materials 1997: Smart Sensing, Processing, and Instrumentation, (6 June 1997); doi: 10.1117/12.275762; https://doi.org/10.1117/12.275762
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