Thermal Error Modelling of a CNC Machine Tool Feed Drive System using FEA Method

Research output: Contribution to journalArticle

Abstract

Recirculating ball screw systems are commonly used in machine tools and are one of the major heat sources which cause considerable thermal drift in CNC machine tools. Finite Element Analysis (FEA) method has been used successfully in the past to model the thermal characteristics of machine tools with promising results. Since FEA predictions are highly dependent on the efficacy of numerical parameters including the surrounding Boundary Conditions (BC), this study emphasises on an efficient modelling method to obtain optimised numerical parameters for acquiring a qualitative response from the feed drive system model. This study was performed on a medium size Vertical Machining Centre (VMC) feed drive system in which two parameter identification methods have been employed; the general prediction method based on formulae provided by OEMs, and the energy balance method. The parameters obtained from both methods were applied to the FEA model of the machine feed drive system and validated against experimental results. Correlation with which was increased from 70 % to 80 % using the energy balance method.
Original languageEnglish
Pages (from-to)118-126
Number of pages9
JournalInternational Journal of Engineering Research & Technology
Volume5
Issue number3
Publication statusPublished - 9 Mar 2016

Fingerprint

Machine tools
Energy balance
Finite element method
Ball screws
Machining centers
Identification (control systems)
Boundary conditions
Hot Temperature

Cite this

@article{082a0a8a675a4af5b34de9250f8c93f2,
title = "Thermal Error Modelling of a CNC Machine Tool Feed Drive System using FEA Method",
abstract = "Recirculating ball screw systems are commonly used in machine tools and are one of the major heat sources which cause considerable thermal drift in CNC machine tools. Finite Element Analysis (FEA) method has been used successfully in the past to model the thermal characteristics of machine tools with promising results. Since FEA predictions are highly dependent on the efficacy of numerical parameters including the surrounding Boundary Conditions (BC), this study emphasises on an efficient modelling method to obtain optimised numerical parameters for acquiring a qualitative response from the feed drive system model. This study was performed on a medium size Vertical Machining Centre (VMC) feed drive system in which two parameter identification methods have been employed; the general prediction method based on formulae provided by OEMs, and the energy balance method. The parameters obtained from both methods were applied to the FEA model of the machine feed drive system and validated against experimental results. Correlation with which was increased from 70 {\%} to 80 {\%} using the energy balance method.",
keywords = "FEA, energy balance method, formula method, feed drive system, VMC",
author = "Ayman Abuaniza and Simon Fletcher and Naeem Mian and Andrew Longstaff",
year = "2016",
month = "3",
day = "9",
language = "English",
volume = "5",
pages = "118--126",
journal = "International Journal of Engineering Research & Technology",
issn = "2278-0181",
number = "3",

}

TY - JOUR

T1 - Thermal Error Modelling of a CNC Machine Tool Feed Drive System using FEA Method

AU - Abuaniza, Ayman

AU - Fletcher, Simon

AU - Mian, Naeem

AU - Longstaff, Andrew

PY - 2016/3/9

Y1 - 2016/3/9

N2 - Recirculating ball screw systems are commonly used in machine tools and are one of the major heat sources which cause considerable thermal drift in CNC machine tools. Finite Element Analysis (FEA) method has been used successfully in the past to model the thermal characteristics of machine tools with promising results. Since FEA predictions are highly dependent on the efficacy of numerical parameters including the surrounding Boundary Conditions (BC), this study emphasises on an efficient modelling method to obtain optimised numerical parameters for acquiring a qualitative response from the feed drive system model. This study was performed on a medium size Vertical Machining Centre (VMC) feed drive system in which two parameter identification methods have been employed; the general prediction method based on formulae provided by OEMs, and the energy balance method. The parameters obtained from both methods were applied to the FEA model of the machine feed drive system and validated against experimental results. Correlation with which was increased from 70 % to 80 % using the energy balance method.

AB - Recirculating ball screw systems are commonly used in machine tools and are one of the major heat sources which cause considerable thermal drift in CNC machine tools. Finite Element Analysis (FEA) method has been used successfully in the past to model the thermal characteristics of machine tools with promising results. Since FEA predictions are highly dependent on the efficacy of numerical parameters including the surrounding Boundary Conditions (BC), this study emphasises on an efficient modelling method to obtain optimised numerical parameters for acquiring a qualitative response from the feed drive system model. This study was performed on a medium size Vertical Machining Centre (VMC) feed drive system in which two parameter identification methods have been employed; the general prediction method based on formulae provided by OEMs, and the energy balance method. The parameters obtained from both methods were applied to the FEA model of the machine feed drive system and validated against experimental results. Correlation with which was increased from 70 % to 80 % using the energy balance method.

KW - FEA

KW - energy balance method

KW - formula method

KW - feed drive system

KW - VMC

UR - http://www.ijert.org/

UR - http://www.ijert.org/browse/volume-5-2016/march-2016-edition?start=20

M3 - Article

VL - 5

SP - 118

EP - 126

JO - International Journal of Engineering Research & Technology

JF - International Journal of Engineering Research & Technology

SN - 2278-0181

IS - 3

ER -