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Therefore, we attempt to utilize the WFRFT-based structure to reduce the spectrum shaping error introduced by (hat {mathbf {{G}}}_{p}).
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Because deterministic methods suffer when badly shaped error functions occur, stochastic methods can deliver very good results, ending up very close to the global optimum.
However, there are dimensional and shape errors of microchannels because of forming limitation such as spring back of thin sheets after stamping.
Besides, assembly process considering dimensional error, shape error and assembly error are comprehensively summarized as well.
A method of diminishing the shape error of membrane mirror is proposed in this paper.
Small deformation of the membrane mirror with greatly reduced shape error is sequentially achieved.
However, distortion caused by the welding heat will produce shape error in BPPs.
The proposed research provides an effective alternative to standard FEA for shape error analysis of functional surface.
Hence, active profiling and polishing can demonstrate a correction of the shape error of the surface to be machined.
Small spring back means a low shape error, which has a great value for the ultra-precision machining.
This model features a main advantage that it can predict the effects of cutting patterns on the shape error.
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