Nanoindentation: a suitable tool to determine local mechanical properties in microelectronic packages and materials?

Albrecht, H.; Hannach, T.; Hase, Akira; Juritza, A.; Muller, K.; Müller, Wolfgang

doi:10.1007/s00419-005-0394-5

Cited by 31 publications

(19 citation statements)

References 11 publications

(13 reference statements)

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“…[8] To decrease the computing costs, the simplified 2D axisymmetric model of the nanoindentation test was considered and the Berkovich indenter was treated as a conical one. Such simplified model does not cause a loss of important information, which was validated through the full 3D FEM simulation of nanoindentation tests [1,4]. The results of comparison of 2D simulation and the full 3D model, obtained by the authors of the present work are shown in Fig.…”

Section: Fem Modelmentioning

confidence: 79%

Identification of Material Models of Nanocoatings System Using the Metamodeling Approach

Kopernik

Stanisławczyk

Kusiak

et al. 2009

IFIP Advances in Information and Communication Technology

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Abstract. Hard systems of nanocoatings deposited using PVD (physical vapor deposition) are used in the artificial heart prosthesis. Correct determination of nanomaterial parameters is crucial for accuracy of simulation. The objective of this work is identification of material parameters of nanocoatings in hard system using the inverse analysis based on the artificial neural network metamodeling. The inverse analysis was preceded by the development of the Finite Element Method (FEM) model dedicated to the nanoindentation test of the hard nanocoatings system. The performed sensitivity analysis is focused on determination of parameters, having the highest influence on FEM model response. The obtained, reliable FEM model was used next in the inverse analysis. The objective of that analysis was evaluation of the parameters of the individual layers of the nanocoating system. In order to decrease the computation time connected with the inverse analysis, the metamodeling approach was proposed. The used metamodel was based on the artificial neural network technique. The obtained results confirm the usefulness of the presented method in the identification of the material properties of the complex, nanocoating systems.

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Section: Fem Modelmentioning

confidence: 79%

Identification of Material Models of Nanocoatings System Using the Metamodeling Approach

Kopernik

Stanisławczyk

Kusiak

et al. 2009

IFIP Advances in Information and Communication Technology

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“…The constitution of evaporated films was employed with corresponding adjustment in weight percent of the composition, Ag at 50%, Sn at 45%, Cu at 5%. A large quantity of Ag was used for the positive formation of Ag 3 Sn with the lower elastic modulus than those of Cu-Sn IMCs [11,12]. For the inhibition of formation of Cu-Sn IMCs, a small quantity of Cu was added into the evaporated film.…”

Section: Methodsmentioning

confidence: 99%

“…In contrast, thermal stress generated in the IMC joint would be difficult to relax because the IMCs have higher elastic modulus and hardness than those of Pb-based solders [11][12][13][14][15]. A finite element analysis (FEA) was performed to estimate the thermal stress effect under cooling process.…”

Section: Introductionmentioning

confidence: 99%

Thin film joining for high-temperature performance of power semi-conductor devices

Takahashi

Komatsu

Nishikawa

et al. 2010

Microelectronics Reliability

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“…Using the Von Mises yield criterion, one can find the relationship between s max and the yield stress, r y [26,38] : …”

Section: Principle Of Nano-indentationmentioning

confidence: 99%

Effects of Non-metallic Inclusions on Machinability of Free-Cutting Steels Investigated by Nano-Indentation Measurements

Wang

Yang

Bao

2014

Metall Mater Trans A

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In the present paper, the nano-indentation technique is used to investigate the effects of inclusions on machinability of free-cutting steel. Firstly, the hardness, elastic moduli, and loaddisplacement curves of inclusions are analyzed and compared with matrix. Secondly, the effects of inclusions on machinability are investigated using nano-indentation measurements and thermodynamic calculations. Lastly, errors of nano-indentation measurements and macrohardness tests are analyzed. The hardness of BN is lower than that of MnS. Both of them have lower hardness than those of matrices. Since the hardness of Al 2 O 3 and TiN is higher than that of matrices, they exist as hard spots in steels. The elasticities of BN and MnS are much better than those of Al 2 O 3 , TiN, and matrices. BN and MnS which have lower hardness values and better elasticities than matrices can improve the machinability of steel effectively. Special attention should be paid to the effects of inclusions in steel on the results of nano-indentation measurement and macrohardness test.

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Nanoindentation: a suitable tool to determine local mechanical properties in microelectronic packages and materials?

Cited by 31 publications

References 11 publications

Identification of Material Models of Nanocoatings System Using the Metamodeling Approach

Identification of Material Models of Nanocoatings System Using the Metamodeling Approach

Thin film joining for high-temperature performance of power semi-conductor devices

Effects of Non-metallic Inclusions on Machinability of Free-Cutting Steels Investigated by Nano-Indentation Measurements

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