98,709 research outputs found

    Dynamic analysis of friction stir welding joints in dissimilar material plate structure

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    Friction stir welding (FSW) is a welding process that widely used as a solid state joining process for producing welded structure of similar and dissimilar materials such as aluminum alloy, magnesium etc. FSW process has expanded rapidly in industries including aerospace, automotive and maritime due to several advantages compared to other fusion welding. In this paper, experimental modal analysis (EMA) and normal mode finite element analysis (FEA) of the FSW welded joint structure of materials AA6061 and AA7075 will be carried out to identify dynamic properties. Rigid Body Element (RBE2) in MSC NASTRAN/PATRAN is used to model the welds and their compatibility for representing FSW welded structure also being identified. Model updating is performed to minimize the discrepancy between EMA and FEA. Model updating will be acted as an optimization method and is being presented using the structural optimization capability. Finite model updating could be done in individual components and welded structure. RBE2 connecting element can be used to represent friction stir welding with good accuracy

    Mining Event Logs to Support Workflow Resource Allocation

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    Workflow technology is widely used to facilitate the business process in enterprise information systems (EIS), and it has the potential to reduce design time, enhance product quality and decrease product cost. However, significant limitations still exist: as an important task in the context of workflow, many present resource allocation operations are still performed manually, which are time-consuming. This paper presents a data mining approach to address the resource allocation problem (RAP) and improve the productivity of workflow resource management. Specifically, an Apriori-like algorithm is used to find the frequent patterns from the event log, and association rules are generated according to predefined resource allocation constraints. Subsequently, a correlation measure named lift is utilized to annotate the negatively correlated resource allocation rules for resource reservation. Finally, the rules are ranked using the confidence measures as resource allocation rules. Comparative experiments are performed using C4.5, SVM, ID3, Na\"ive Bayes and the presented approach, and the results show that the presented approach is effective in both accuracy and candidate resource recommendations.Comment: T. Liu et al., Mining event logs to support workflow resource allocation, Knowl. Based Syst. (2012), http://dx.doi.org/ 10.1016/j.knosys.2012.05.01

    Technology implementation barriers in the Malaysian herbal industry: A case study

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    Technology is an essential component in all types of organisations and most organisations have reasons to implement new technology. The most fundamental justification for new technology implementation is that the technology must be able to contribute to strong competitive advantages and also increase or create long-term profit. In most small and medium enterprises (SMEs), there are barriers or obstacles in implementing these technologies. This article report a study aimed in investigating barriers faced by the Malaysian herbal industry in implementing technologies in their factory. Most of the local herbal manufacturing firms are categorised as SMEs which are usually considered to be lagged behind larger companies in technology usage. As this was an exploratory research, a case study method was used as it gave in-depth explanation of the main barriers of technology implementation. The results suggested that the main constraint in implementing technologies are lack of technical specialists and financial, aid commitment from top management, low wage rate, and future demand uncertainties
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