Influence of the Substrate on the Creep of SN Solder Joints

The creep rate of Sn solder joints is noticeably affected by joint metallization. Cu|Sn|Cu joints have significantly higher creep rates than Ni|Sn|Cu joints, which, in turn, have higher creep rates than Ni|Sn|Ni joints. Replacing Ni by Cu on both substrates increases the creep rate at 333 K (60 °C) by roughly an order of magnitude. The increased creep rate appears with no apparent change in the dominant creep mechanism; the change in the constitutive equation for creep (the Dorn equation) is in the pre-exponential factor. The decreased creep rate on substituting Ni is accompanied by an increase in the hardness of the polygranular solder but a decrease in the nanohardness of the grain interiors. The source of the strong influence of the Ni substrate appears to be the introduction of an array of Ni3Sn4 intermetallic precipitates along the grain boundaries. These precipitates inhibit grain boundary sliding, boundary reconfiguration, and grain growth during creep. The intermediate creep rate of the asymmetric Ni|Sn|Cu joint has two causes: a decrease in grain boundary mobility due to precipitate decoration and a restriction in the free volume of the joint due to rapid intermetallic growth from the substrate on the Ni side. The sources of this anomalous intermetallic growth are discussed

Analyzing contract robustness through a model of commitments

We address one of the challenges in developing solutions based on multiagent systems for the problems of cross-organizational business processes and commerce generally. Specifically, we study how to gather and analyze requirements embodied within business contracts using the abstractions from multiagent systems. Commerce is driven by business contracts. Each party to a business contract must be assured that the contract is robust, in the sense that it fulfills its goals and avoids undesirable outcomes. However, real-life business contracts tend to be complex and unamenable both to manual scrutiny and domain-independent scientific methods, making it difficult to provide automated support for determining or improving their robustness. As a result, establishing a contract is nontrivial and adds significantly to the transaction costs of conducting business. If the adoption of multiagent systems approaches in supporting business interactions is to be viable, we need to develop appropriate techniques to enable tools to reason about contracts in relation to their robustness. To this end, we propose a powerful approach to assessing the robustness of contracts, and make two main contributions. First, we demonstrate a novel conceptual model for contracts that is based on commitments. Second, we offer a methodology for (i) creating commitment-based models of contracts from textual descriptions, and (ii) evaluating the contract models for robustness. We validate these contributions via a study of real-world contracts