2020
DOI: 10.1007/s12206-020-0915-8
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Optimized geometric error sensitivity analysis approach based on stream-of-variation theory in multi-axis precise motion platform

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Cited by 3 publications
(2 citation statements)
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“…Considering the actual process capacity, the thickness variation range is shown in Table 2. Based on Bending simulation, M in (SD Strain) in C-C is set as the optimization target, sensitivity analysis is conducted for four variables [4] , and key influencing factors are found and optimized. The simulation results of multivariate sensitivity analysis are shown in Figure 7.…”
Section: Figure 3 Bending Area Divisionmentioning
confidence: 99%
“…Considering the actual process capacity, the thickness variation range is shown in Table 2. Based on Bending simulation, M in (SD Strain) in C-C is set as the optimization target, sensitivity analysis is conducted for four variables [4] , and key influencing factors are found and optimized. The simulation results of multivariate sensitivity analysis are shown in Figure 7.…”
Section: Figure 3 Bending Area Divisionmentioning
confidence: 99%
“…Thus, the propagation and the accumulation of errors can be observed in order to control stations with significant changes. This method has the characteristics of systematic modeling and easy debugging, which greatly improves the efficiency of error analysis, and it has been widely applied in the error modeling and sensitivity analysis of multi-axis precision motion platform [18,19].…”
mentioning
confidence: 99%