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Article
Publication date: 15 January 2024

Mohammad A Gharaibeh, Markus Feisst and Jürgen Wilde

This paper aims to present two Anand’s model parameter sets for the multilayer silver–tin (AgSn) transient liquid phase (TLP) foils.

Abstract

Purpose

This paper aims to present two Anand’s model parameter sets for the multilayer silver–tin (AgSn) transient liquid phase (TLP) foils.

Design/methodology/approach

The AgSn TLP test samples are manufactured using pre-defined optimized TLP bonding process parameters. Consequently, tensile and creep tests are conducted at various loading temperatures to generate stress–strain and creep data to accurately determine the elastic properties and two sets of Anand model creep coefficients. The resultant tensile- and creep-based constitutive models are subsequently used in extensive finite element simulations to precisely survey the mechanical response of the AgSn TLP bonds in power electronics due to different thermal loads.

Findings

The response of both models is thoroughly addressed in terms of stress–strain relationships, inelastic strain energy densities and equivalent plastic strains. The simulation results revealed that the testing conditions and parameters can significantly influence the values of the fitted Anand coefficients and consequently affect the resultant FEA-computed mechanical response of the TLP bonds. Therefore, this paper suggests that extreme care has to be taken when planning experiments for the estimation of creep parameters of the AgSn TLP joints.

Originality/value

In literature, there is no constitutive modeling data on the AgSn TLP bonds.

Details

Soldering & Surface Mount Technology, vol. 36 no. 2
Type: Research Article
ISSN: 0954-0911

Keywords

Article
Publication date: 5 February 2024

Mohammad A Gharaibeh and Ayman Alkhatatbeh

The continuous increase of energy demands is a critical worldwide matter. Jordan’s household sector accounts for 44% of overall electricity usage annually. This study aims to use…

Abstract

Purpose

The continuous increase of energy demands is a critical worldwide matter. Jordan’s household sector accounts for 44% of overall electricity usage annually. This study aims to use artificial neural networks (ANNs) to assess and forecast electricity usage and demands in Jordan’s residential sector.

Design/methodology/approach

Four parameters are evaluated throughout the analysis, namely, population (P), income level (IL), electricity unit price (E$) and fuel unit price (F$). Data on electricity usage and independent factors are gathered from government and literature sources from 1985 to 2020. Several networks are analyzed and optimized for the ANN in terms of root mean square error, mean absolute percentage error and coefficient of determination (R2).

Findings

The predictions of this model are validated and compared with literature-reported models. The results of this investigation showed that the electricity demand of the Jordanian household sector is mainly driven by the population and the fuel price. Finally, time series analysis approach is incorporated to forecast the electricity demands in Jordan’s residential sector for the next decade.

Originality/value

The paper provides useful recommendations and suggestions for the decision-makers in the country for dynamic planning for future resource policies in the household sector.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

Keywords

Book part
Publication date: 29 January 2024

Shafeeq Ahmed Ali, Mujeeb Saif Mohsen Al-Absy, Ahmad Yahia Mustafa Al Astal and Ahmad Mohammad Obeid Gharaibeh

Financial technology (fintech) has emerged as a major player in the global financial system, providing a range of services such as payments, digital currencies, money transfers…

Abstract

Financial technology (fintech) has emerged as a major player in the global financial system, providing a range of services such as payments, digital currencies, money transfers, loans, crowdsourcing, and insurance. Fintech startups in Arab countries have also gained traction due to economic openness and globalization. However, concerns remain about the safety, durability, and security of traditional financial services, especially with the increasing use of artificial intelligence (AI) and digitization. The Central Bank of Bahrain and other regulatory authorities need to balance risk avoidance with the global trend toward innovation in fintech, as well as ensure that these technologies are not used for fraud, money laundering, piracy, or terrorist financing. The Bahraini government and supervisory authorities must strike a balance between preserving the integrity and robustness of the financial and banking sector and developing innovation. This can be achieved by adjusting the rhythm of comparison, strengthening and enhancing the safety of banks, achieving financial stability, and ensuring compliance with laws and legislation. It is important to address gaps in regulatory rules, information security, and the business environment, and launch financial awareness at the community level before embracing the potential of fintech and its unseen future development at the level of cryptocurrencies and others. The current work examines the impact of Fintech on the Future of banking in Bahrain and the opportunities and challenges.

Details

Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application
Type: Book
ISBN: 978-1-80455-973-4

Keywords

Content available
Book part
Publication date: 29 January 2024

Abstract

Details

Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application
Type: Book
ISBN: 978-1-80455-973-4

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