3D-Printing for Remote Industries (3DPRI) in Harsh Environments: On the post-processing of a wire arc additive manufactured 420 martensitic stainless steel for enhanced functionality and service life

Newly developed additive manufacturing (AM) techniques, also known as 3D-printing, are able to fabricate complex geometry components at a relatively high deposition rate, the lowest possible number of production cycles, and minimum materials waste in contrast with the conventional subtractive fabrication techniques. By drastic reduction in the fabrication time and production steps, minimizing the on-hold […]

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Sales & Marketing Associate – Glove Systems

As a Sales & Marketing associate I will be responsible for the following: • Work with CSO to create marketing white papers and presentation • Help and support the sales team with presentation and document preparation • Keeping the CRM up to date • Keeping an active online presence on LinkedIn • Support existing customers […]

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Application of machine learning techniques to control surface quality of as-printed wire arc additive manufactured components

Nowadays, the wire arc additive manufacturing is making its path toward providing benefits to aerospace, defense, and oil and gas sectors, ascribed to the process capacity to fabricate components with minimum waste of material and lead time. However, the main challenges associated with the WAAM that have hindered the wide-spread application of the technology include […]

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Sniffing Line in Mass Spectrometry for Direct Analysis

Mass spectrometry is a known for its capacity of detection of sample material with high sensitivity paired with high resolution and accuracy. Developing a “sniffing line” that would provide point-of-measurement capabilities for direct analysis of particulates on various surfaces is a necessary and novel method that will influence the mass spectrometry technique. Referred to as […]

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Intensifying Mass Transfer and Flotation Rates in Multiphase Contactors/Reactors

The proposed project mainly focuses on developing an innovative gas/liquid contacting technology that is of critical importance to a wide range of process industries and environmental-management operations. Successful development and implementation of this project are expected to: • Reduce the environmental impact of a variety of operations that are needed to meet human needs and […]

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Timber-based DfMA Façade Components for Factory-in-a-Box(FIAB) based DM technologies

Digital Manufacturing is expensive due to the initial capital costs related to the digitally able machines and robots. This entails that the segment of the construction sector that is rapidly adopting these technologies to meet the productivity and ecological goals of the Construction Sector is largely restricted to large businesses – large Architectural, Engineering and […]

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Reliability Improvement of Gallium Nitride (GaN) Devices

Gallium Nitride (GaN) semiconductors are more and more being used in switching power devices and the GaN transistors are the promising candidate of next-generation power devices that can substitute Silicon (Si) devices. However, this young technology suffers from reliability difficulties. The aim of this research work is to contribute to the understanding of the properties […]

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Optimization of an Industrial-scale Water Atomization Process to Produce High-Grade Metal Powders

Powder Metallurgy (PM) and Metal Additive Manufacturing (Metal AM) are sets of processes to produce net-shape or near-net-shape metal parts from metal powders, and so they offer material and energy saving. These processes, however, require powders of strict specifications like particle size distribution and shape. Water Atomization (WA) of a molten metal is a cost-effective […]

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Machine learning assisted quantum chemistry for Orquestra

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

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Machine learning assisted quantum chemistry for Orquestra – Year two

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

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High Efficiency GaN RF Power Amplifiers for 5G and Beyond Applications

This research project will be a collaborative effort to explore, understand, and capitalize on the growing market shift from Laterally Diffused Metal Oxide Semiconductors (LDMOS) to Gallium Nitride (GaN)-based radio units in the base station market, which is ever-growing with the increased demand for 5G. The intern will be trained on simulation, measurement, design, and […]

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