Abstract

A guide pair is a core part of the feed system in a machine tool. Its geometric accuracy is attenuated due to wear, thus directly affecting its guiding accuracy and the processing accuracy and quality of a machine tool. In this article, based on the statistical principle, the influences of the surface wear of guideway on its straightness attenuation were explored and an analytical prediction model for the geometric accuracy attenuation of slide guide was established. The reciprocating wear test of slide guide samples was performed with a test bench to explore the attenuation of guideway surface straightness under various machining conditions: isometric feeding, random length distribution feeding (normal distribution, negatively skewed distribution and positively skewed distribution), and feeding-retracting (with unequal reciprocating speeds). The comparison between experimental results and predicted results showed that the prediction model could well predict the precision attenuation of the guideway under stable working conditions. The experimental results also proved that machining workpieces with the same size or machining workpieces with a larger size as possible was beneficial to extend the precision maintaining life of slide guide. The prediction model suggested the quantitative relationship between the precision attenuation of slide guide and the main factors including material properties, surface topography parameters, working conditions, operation parameters, and surface friction properties. With this model, the real-time straightness on the guideway surface can be calculated and the geometric precision maintaining life of slide guide can also be predicted.

References

1.
Tang
,
H.
,
Duan
,
J. A.
, and
Zhao
,
Q.
,
2017
, “
A Systematic Approach on Analyzing the Relationship Between Straightness & Angular Errors and Guideway Surface in Precise Linear Stage
,”
Int. J. Mach. Tools Manuf.
,
120
, pp.
12
19
.
2.
Sun
,
G.
,
He
,
G.
,
Weng
,
L.
,
Sang
,
Y.
, and
Zhang
,
D.
,
2018
, “
Research on Assembly Deformation of Machine Tool Guideway
,”
2018 IEEE International Conference on Advanced Manufacturing (ICAM)
,
Yunlin, Taiwan
,
Nov. 16–18
, pp.
231
234
.
3.
Majda
,
P.
,
2012
, “
Modeling of Geometric Errors of Linear Guideway and Their Influence on Joint Kinematic Error in Machine Tools
,”
Precis. Eng.
,
36
(
3
), pp.
369
378
.
4.
Fan
,
K. C.
,
Chen
,
H. M.
, and
Kuo
,
T. H.
,
2012
, “
Prediction of Machining Accuracy Degradation of Machine Tools
,”
Precis. Eng.
,
36
(
2
), pp.
288
298
.
5.
Chlebus
,
E.
, and
Dybala
,
B.
,
1999
, “
Modelling and Calculation of Properties of Sliding Guideways
,”
Int. J. Mach. Tools Manuf.
,
39
(
12
), pp.
1823
1839
.
6.
Daniel
,
C. M.
,
Sutherland
,
J. W.
, and
Olson
,
W.
,
1997
, “
A Model of the Tracking Errors of a Machine Tool Slideway
,”
Am. Soc. Precis. Eng.
,
16
, pp.
65
68
.
7.
Khruschov
,
M. M.
,
1974
, “
Principles of Abrasive Wear
,”
Wear
,
28
(
1
), pp.
69
88
.
8.
Axen
,
N.
, and
Jacobson
,
S.
,
1994
, “
A Model for the Abrasive Wear Resistance of Multiphase Materials
,”
Wear
,
174
(
1–2
), pp.
187
199
.
9.
Lee
,
G. Y.
,
Dharan
,
C. K. H.
, and
Ritchie
,
R. O.
,
2002
, “
A Physically-Based Abrasive Wear Model for Composite Materials
,”
Wear
,
252
(
3–4
), pp.
322
331
.
10.
Chang
,
W. R.
,
Etsion
,
I.
, and
Bogy
,
D. B.
,
1988
, “
Adhesion Model for Metallic Rough Surfaces
,”
ASME J. Tribol.
,
110
(
1
), pp.
50
56
.
11.
Franklin
,
F. J.
, and
Kapoor
,
A.
,
2000
, “
Effect of Adhesion on Wear by Plastic Ratchetting
,”
Tribol. Ser.
,
38
, pp.
105
114
.
12.
Chen
,
L. H.
, and
Rigney
,
D. A.
,
1990
, “
Adhesion Theories of Transfer and Wear During Sliding of Metals
,”
Wear
,
136
(
2
), pp.
223
235
.
13.
Suh
,
N. P.
,
1973
, “
The Delamination Theory of Wear
,”
Wear
,
25
(
1
), pp.
111
124
.
14.
Mao
,
K.
,
2007
, “
Gear Tooth Contact Analysis and Its Application in the Reduction of Fatigue Wear
,”
Wear
,
262
(
11–12
), pp.
1281
1288
.
15.
Ekberg
,
A.
,
Kabo
,
E.
, and
Andersson
,
H.
,
2002
, “
An Engineering Model for Prediction of Rolling Contact Fatigue of Railway Wheels
,”
Fatigue Fract. Eng. Mater. Struct.
,
25
(
10
), pp.
899
909
.
16.
Dirks
,
B.
, and
Enblom
,
R.
,
2011
, “
Prediction Model for Wheel Profile Wear and Rolling Contact Fatigue
,”
Wear
,
271
(
1–2
), pp.
210
217
.
17.
Spence
,
J. W.
,
Haynie
,
F. H.
,
Lipfert
,
F. W.
,
Cramer
,
S. D.
, and
McDonald
,
L. G.
,
1992
, “
Atmospheric Corrosion Model for Galvanized Steel Structures
,”
Corrosion
,
48
(
12
), pp.
1009
1019
.
18.
Stephenson
,
D. J.
, and
Nicholls
,
J. R.
,
1993
, “
Modelling Erosive Wear
,”
Corros. Sci.
,
35
(
5–8
), pp.
1015
1026
.
19.
García
,
I.
,
Drees
,
D.
, and
Celis
,
J. P.
,
2001
, “
Corrosion-Wear of Passivating Materials in Sliding Contacts Based on a Concept of Active Wear Track Area
,”
Wear
,
249
(
5–6
), pp.
452
460
.
20.
Archard
,
J.
,
1953
, “
Contact and Rubbing of Flat Surfaces
,”
J. Appl. Phys.
,
24
(
8
), pp.
981
988
.
21.
Tan
,
Y.
, and
Ma
,
L.
,
2020
, “
Analytic Calculation and Experimental Study on the Wear of the Slide Guide of Machine Tool Considering Boundary Lubrication
,”
ASME J. Tribol.
,
142
(
7
), p.
072201
.
22.
Fan
,
W. G.
,
2002
, “
Wear Mechanism Under Boundary Lubrication Conditions
,”
J. Jilin Inst. Technol.: Nat. Sci. Ed.
,
23
(
1
), pp.
31
32
.
23.
Tan
,
Y.
,
Zhang
,
L.
, and
Hu
,
Y.
,
2016
, “
Experimental Study on Friction Fatigue of Contact Surfaces for Slide Guide
,”
Mech. Sci. Technol. Aerosp. Eng.
,
35
(
6
), pp.
877
880
.
You do not currently have access to this content.