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Effect of crystallographic texture, anisotropic elasticity, and thermal expansion on whisker formation in β-Sn thin films

Published online by Cambridge University Press:  23 January 2014

Wei-Hsun Chen*
Affiliation:
School of Materials Engineering, Purdue University, West Lafayette, Indiana 47907
Pylin Sarobol
Affiliation:
Coatings and Surface Engineering, Sandia National Laboratories, Albuquerque, New Mexico 87123
John R. Holaday
Affiliation:
School of Materials Engineering, Purdue University, West Lafayette, Indiana 47907
Carol A. Handwerker
Affiliation:
School of Materials Engineering, Purdue University, West Lafayette, Indiana 47907
John E. Blendell
Affiliation:
School of Materials Engineering, Purdue University, West Lafayette, Indiana 47907
*
a)Address all correspondence to this author. e-mail: askachen@purdue.edu

Abstract

A strategy for identifying the preferred sites and overall propensity of a Sn film to form whiskers has been developed based on film textures, local grain orientations, and elastic strain energy densities (ESEDs), with preferred sites predicted to be grains with local high ESEDs. Using β-Sn films with various textures, ESED distributions were simulated for elastic and thermoelastic stresses depending on isothermal aging or thermal cycling conditions. Local high ESEDs are preferentially induced in (110) or (100) oriented grains with c-axes nearly parallel to the film plane; films with overall low ESEDs have strong (100) textures for elastic stresses and strong (001) textures for thermoelastic stresses, suggesting low propensities to form whiskers. This work establishes a model for understanding the effect of the β-Sn anisotropy on whisker formation and provides guidelines for testing whether engineering specific film textures will reduce a film's propensity to form whiskers.

Information

Type
Articles
Copyright
Copyright © Materials Research Society 2013 
Figure 0

FIG. 1. SEM image of a whisker and hillocks growing out of an electroplated Sn–Cu film.

Figure 1

TABLE I. The elastic and thermal properties of β-Sn and Cu.

Figure 2

FIG. 2. The skeleton microstructure, ND grain orientation maps, and simulated ESED distributions (kJ/m3). (a) A 2D polycrystalline microstructure of 938 grains generated using a Voronoi tessellation. (b)–(e) ND grain orientation maps in inverse pole figure colors (inset) for strongly textured (001), (111), (110), and (100) films simulated using r = 0.15, respectively. The corresponding ESED distributions (f)–(i) for elastic stresses induced by IMC formation at room temperature, and (j)–(m) for thermoelastic stresses induced during thermal cycling. ESED distributions for the same stress-generating mechanism are scaled in the same manner.

Figure 3

TABLE II. MRDs evaluated using the discrete binning method (bin size: 5°) and harmonic analysis (series rank: 34) for textures generated using the March–Dollase function with fitting coefficient r. The Gaussian half-width for the smoothing calculation was set to 5°.

Figure 4

TABLE III. Average in-plane strains induced in free-standing strongly textured β-Sn films and Cu for a temperature change from 25 to 85 °C, and the corresponding misfit strains for β-Sn films constrained by Cu.

Figure 5

FIG. 3. ND IPFs showing grain orientation distributions (a)–(d) for all the grains in strongly textured (001), (111), (110), and (100) films, respectively. Orientations of high ESED grains (top 1%) for each texture are shown in ND IPFs (e)–(h) for elastic stresses and (i)–(l) for thermoelastic stresses. The color scale indicates MRD, and the number in each ND IPF indicates the max MRD evaluated using the discrete binning method.

Figure 6

FIG. 4. Relative frequency distributions of grain average ESEDs in strongly textured (001), (111), (110), and (100) β-Sn films for (a) elastic stresses and (b) thermoelastic stresses.

Figure 7

FIG. 5. Sample mode ESEDs plotted as a function of texture orientation [(001), (111), (110), and (100)] and the fitting coefficient (r = 0, 0.15, 0.32, 0.58, or 1), for (a) elastic stresses and (b) thermoelastic stresses. The fitting coefficients of 0 and 1 (solid diamond) denote a perfect fiber texture and a random texture, respectively.

Figure 8

FIG. 6. Simulated ESED distributions (kJ/m3) for perfect fiber-textured (001), (111), (110), and (100) β-Sn films (a)–(d) for elastic stresses and (e)–(h) for thermoelastic stresses. ESED distributions for the same stress-generating mechanism are scaled in the same manner. A homogeneous ESED distribution is only found in β-Sn films with (001) perfect fiber textures.