Continuous Wavelet Transform Based Nanoscale Strain Field Measurement Using Moire´ Interferometry With Phase Shifting

Author(s):  
Bicheng Chen ◽  
Cemal Basaran

Moire´ Interferometry (MI) provides real-time full strain field measurement for the structure under the dynamic loading. It has been successfully applied to the reliability testing of the electronic packaging under different loadings (e.g. thermal cycling, electrical current stressing and etc). The miniaturization of the microelectronic packaging calls for the operation of MI at a level with higher sensitivity and better resolution. The proposed operation of MI combines two novel methods in the interferometry, phase shifting (PS) and continuous wavelet transform (CWT) to achieve a 164 nm/pixel spatial resolution. The entire operation procedure is completed automatically by computer programs. A two-level zooming system is designed and implemented in MI to give a high spatial resolution. The idea of combination of CWT and PS here is to put both spatial phase calculation and temporal phase calculation together. By introducing both the spatial and temporal redundancy, the authors show that the hybrid methods take the advantages from both of them. Furthermore, the direct calculation of the spontaneous spatial frequency of the interferogram is carried out using the property of the maximum power ridge of CWT. This method doesn’t require unwrapping and differentiation, which avoid the possible numerical noise introduced in these two steps. In the proposed system, pixel by pixel in-plane strain tensors can be calculated from the intensity map of interferograms using phase-based method for MI in contrast with the traditional fringe counting. The resulting strain tensor can be used to model constitutive relationship or compare with finite element analysis results. A thermal experiment on BGA packaging is used to demonstrate the advantages of the proposed new design.

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1106
Author(s):  
Jagdish N. Pandey

We define a testing function space DL2(Rn) consisting of a class of C∞ functions defined on Rn, n≥1 whose every derivtive is L2(Rn) integrable and equip it with a topology generated by a separating collection of seminorms {γk}|k|=0∞ on DL2(Rn), where |k|=0,1,2,… and γk(ϕ)=∥ϕ(k)∥2,ϕ∈DL2(Rn). We then extend the continuous wavelet transform to distributions in DL2′(Rn), n≥1 and derive the corresponding wavelet inversion formula interpreting convergence in the weak distributional sense. The kernel of our wavelet transform is defined by an element ψ(x) of DL2(Rn)∩DL1(Rn), n≥1 which, when integrated along each of the real axes X1,X2,…Xn vanishes, but none of its moments ∫Rnxmψ(x)dx is zero; here xm=x1m1x2m2⋯xnmn, dx=dx1dx2⋯dxn and m=(m1,m2,…mn) and each of m1,m2,…mn is ≥1. The set of such wavelets will be denoted by DM(Rn).


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