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2022
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Article
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Tab 9
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Research Article
An Optimized Design of New
XYθ
Mobile Positioning Microrobotic Platform for Polishing Robot Application Using Artificial Neural Network and Teaching-Learning Based Optimization
Table 9
Validation results.
Case study
Method
Performances
y
-stroke (
μ
m)
Safety factor
Case 1
Proposed method
1558.6763
1.58
FEA results
1432.2
1.47
Error (%)
8.8
7.48
Case 2
Proposed method
1300.6
2.3
FEA results
1368.7
2.2
Error (%)
4.97
4.54
Case 3
Proposed method
1568.1
2.04
FEA results
1689.8
2.17
Error (%)
7.2
5.9