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Adhesion and delamination have been pervasive problems hampering the performance and reliability of micro-and nano-electronic devices. In order to understand, predict, and ultimately prevent interface failure in electronic devices, development of accurate, robust, and efficient delamination testing and prediction methods is crucial. Adhesion is essentially a multi-scale phenomenon: at the smallest scale possible, it is defined by the thermodynamic work of adhesion. At larger scales, additional dissipative mechanisms may be active which results in enhanced adhesion at the macroscopic scale and are the main cause for the mode angle dependency of the interface toughness. Undoubtedly, the macroscopic adhesion properties are a complex function of all dissipation mechanisms across the scales. Thorough understanding of the significance of each of these dissipative mechanisms is of utmost importance in order to establish physically correct, unambiguous values of the adhesion properties, which can only be achieved by proper multi-scale techniques. The topic “Advances in Delamination Modeling” has been split into two separate chapters: this chapter discusses the continuum aspects of delamination, while the next chapter deals with the atomistic aspects of interface separation. The chapter starts with a concise overview of the theory on interface fracture mechanics, followed by five applications: (1) buckling-driven delamination in flexible displays, in which a combined numerical-experimental approach is used to establish macroscopic adhesion properties, as a function of mode angle; (2) a multi-scale method to identify the relevant dissipative mechanisms in fibrillating metal/elastomer interfaces that are encountered in stretchable electronics; (3) analysis and prediction of a particular microscale dissipative mechanism at patterned (roughened) interfaces, as a result of the competition between adhesive and cohesive failures; (4) advanced model parameter identification by integrated digital image correlation which essentially eliminates the need for calculating displacements from images prior to parameter identification; and (5) the modeling of the sintering behavior of Ag particles in a thermal interconnect material.

Contains fulltext : 77003.pdf (Publisher’s version ) (Closed access) Researchers have revealed that managers profit most from informal and on-the-job learning. Moreover, research has shown that task characteristics and social support affect informal learning. On the basis of these insights. the authors examined the effects of task characteristics (psychological job demands, job control) and social support from the supervisor and colleagues on informal on-the-job learning among 1,588 managers in the Dutch home-care sector. A regression analysis revealed that high demands, high control, and high colleague and supervisor support were each associated with high levels of informal learning. The authors found no evidence for statistical interactions among the effects of these concepts. They concluded that to promote managers' informal workplace learning, employers should especially increase job control.

Product and process design in the food industry often still remains a very empirical activity. This will not lead to leap changes in product functionality or composition. We aim at developing quantitative models which relate the microstructure of semi-hard cheese to sensory texture. With these models we want to design more resource efficient process routes and healthier options for full fat semi-hard cheese. In this paper the role of multi-scale simulations using a Finite Element Method in developing these models will be discussed.

Item does not contain fulltext This research examined burnout (i.e., emotional exhaustion, depersonalization, and lack of personal accomplishment) among 2 samples of Dutch teachers as a function of inequity and experienced job stress in 3 different exchange relationships (with students, colleagues, and the school). It was hypothesized that inequity would be linked to burnout through the stress resulting from this inequity. Analysis of a cross-sectional sample (N = 271) revealed that this was indeed the case. Findings were replicated longitudinally using an independent sample of 940 teachers. It is concluded that the often-reported effect of inequity on burnout can partly be interpreted in terms of elevated levels of job stress. Implications of the findings are discussed.

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Contains fulltext : 77340.pdf (Publisher’s version ) (Closed access) Researchers have revealed that managers profit most from informal and on-the-job learning. Moreover, research has shown that task characteristics and social support affect informal learning. On the basis of these insights. the authors examined the effects of task characteristics (psychological job demands, job control) and social support from the supervisor and colleagues on informal on-the-job learning among 1,588 managers in the Dutch home-care sector. A regression analysis revealed that high demands, high control, and high colleague and supervisor support were each associated with high levels of informal learning. The authors found no evidence for statistical interactions among the effects of these concepts. They concluded that to promote managers' informal workplace learning, employers should especially increase job control. 17 p.