Modified Chip-Evacuation Force Modeling and Chip-Clogging Prediction in Drilling of Cortical Bone

Chip clogging is one of the fundamental issues faced by the dentists during the drilling of cortical bone. The chip clogging can lead to significant increase in temperature, thrust force and torque, and can even cause the drill bit to break. In this study, a modified chip-evacuation model to estimat...

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Main Authors: Airong Zhang, Song Zhang, Cuirong Bian, Hui Kong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8928604/
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author Airong Zhang
Song Zhang
Cuirong Bian
Hui Kong
author_facet Airong Zhang
Song Zhang
Cuirong Bian
Hui Kong
author_sort Airong Zhang
collection DOAJ
description Chip clogging is one of the fundamental issues faced by the dentists during the drilling of cortical bone. The chip clogging can lead to significant increase in temperature, thrust force and torque, and can even cause the drill bit to break. In this study, a modified chip-evacuation model to estimate the thrust force was developed for drilling of the cortical bone. First, the modified chip-evacuation force model with two parameters was developed based on the flute geometry. A set of drilling tests was conducted to calibrate the model parameters. Secondly, the parameter models were established as functions of spindle speed and feed, and the coefficients were then determined through nonlinear-regression analysis. The importance of cutting parameters on the model parameters was investigated via analysis of variance. Thirdly, the validity of the force model was analyzed by experimental results. Subsequently, based on the gradient of the chip-evacuation force, the chip-clogging prediction was conducted, and the prediction accuracy was assessed by the validation tests. Finally, the effect of cutting condition on the chip clogging was explored. The modified chip-evacuation force model proved to be an effective tool for predicting the thrust force, and the chip clogging could be estimated accurately with a relative error less than 10%. The spindle speed and the feed both had significant effects on the chip-evacuation force and chip clogging. The modified model could provide a better approach to finding how a pecking cycle can be implemented, and then, it can assist surgeons in selecting cutting conditions.
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spelling doaj.art-e73f5291e2664e1884eece63b19e4cbe2022-12-21T23:05:22ZengIEEEIEEE Access2169-35362019-01-01718067118068310.1109/ACCESS.2019.29584288928604Modified Chip-Evacuation Force Modeling and Chip-Clogging Prediction in Drilling of Cortical BoneAirong Zhang0https://orcid.org/0000-0003-1600-085XSong Zhang1https://orcid.org/0000-0001-5565-2290Cuirong Bian2https://orcid.org/0000-0002-5924-0231Hui Kong3https://orcid.org/0000-0002-0002-1253Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical Engineering, Shandong University, Jinan, ChinaKey Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical Engineering, Shandong University, Jinan, ChinaDepartment of Prosthodontics, Qilu Hospital of Shandong University, Jinan, ChinaDepartment of Prosthodontics, Qilu Hospital of Shandong University, Jinan, ChinaChip clogging is one of the fundamental issues faced by the dentists during the drilling of cortical bone. The chip clogging can lead to significant increase in temperature, thrust force and torque, and can even cause the drill bit to break. In this study, a modified chip-evacuation model to estimate the thrust force was developed for drilling of the cortical bone. First, the modified chip-evacuation force model with two parameters was developed based on the flute geometry. A set of drilling tests was conducted to calibrate the model parameters. Secondly, the parameter models were established as functions of spindle speed and feed, and the coefficients were then determined through nonlinear-regression analysis. The importance of cutting parameters on the model parameters was investigated via analysis of variance. Thirdly, the validity of the force model was analyzed by experimental results. Subsequently, based on the gradient of the chip-evacuation force, the chip-clogging prediction was conducted, and the prediction accuracy was assessed by the validation tests. Finally, the effect of cutting condition on the chip clogging was explored. The modified chip-evacuation force model proved to be an effective tool for predicting the thrust force, and the chip clogging could be estimated accurately with a relative error less than 10%. The spindle speed and the feed both had significant effects on the chip-evacuation force and chip clogging. The modified model could provide a better approach to finding how a pecking cycle can be implemented, and then, it can assist surgeons in selecting cutting conditions.https://ieeexplore.ieee.org/document/8928604/Chip cloggingchip-evacuation forcedrilling of cortical bonetwist drill
spellingShingle Airong Zhang
Song Zhang
Cuirong Bian
Hui Kong
Modified Chip-Evacuation Force Modeling and Chip-Clogging Prediction in Drilling of Cortical Bone
IEEE Access
Chip clogging
chip-evacuation force
drilling of cortical bone
twist drill
title Modified Chip-Evacuation Force Modeling and Chip-Clogging Prediction in Drilling of Cortical Bone
title_full Modified Chip-Evacuation Force Modeling and Chip-Clogging Prediction in Drilling of Cortical Bone
title_fullStr Modified Chip-Evacuation Force Modeling and Chip-Clogging Prediction in Drilling of Cortical Bone
title_full_unstemmed Modified Chip-Evacuation Force Modeling and Chip-Clogging Prediction in Drilling of Cortical Bone
title_short Modified Chip-Evacuation Force Modeling and Chip-Clogging Prediction in Drilling of Cortical Bone
title_sort modified chip evacuation force modeling and chip clogging prediction in drilling of cortical bone
topic Chip clogging
chip-evacuation force
drilling of cortical bone
twist drill
url https://ieeexplore.ieee.org/document/8928604/
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AT songzhang modifiedchipevacuationforcemodelingandchipcloggingpredictionindrillingofcorticalbone
AT cuirongbian modifiedchipevacuationforcemodelingandchipcloggingpredictionindrillingofcorticalbone
AT huikong modifiedchipevacuationforcemodelingandchipcloggingpredictionindrillingofcorticalbone