Archives

Listening to Current Practice: Patient Involvement in the Pharmaceutical Packaging Design Process

Abstract Multiple functional challenges in the use of pharmaceutical packaging reveal a great need of packaging to be designed inclusively. This study investigates patient involvement in the pharmaceutical packaging design process by analysing interview data from representatives of the pharmaceutical and packaging industry. Four main themes related to patient involvement were uncovered: patient expertise levels, […]

Read More

Model-Driven Product Service Systems design: the Model-Driven Development and Decision Support (MD3S) approach

Abstract: The paper presents a Model-Driven approach for Product-Service System (PSS) Design promoting an increased digitalization of the PSS design process based on the combination of data-driven design (DDD) activities and value-driven design (VDD) methods. The approach is the results of an 8-year long research profile named (omitted for blind review) featuring the collaboration between […]

Read More

New press deflection measuring methods for the creation of substitutive models for efficient die cambering

Abstract Cost and time for die tryout are significant within the car industry, and elastic deflections of dies and presses are most commonly not considered during the virtual die design and forming simulation phase. Because of this, active surfaces of stamping dies are only cambered based on previous experiences of tool types and presses. However, […]

Read More

Fracture toughness analysis of aluminum (Al) foil and its adhesion with low-density polyethylene (lpde) in the packing industry

Abstract Liquid food packages consist of various polymers films, which are bonded together with Aluminum foil (Al-foil) using adhesion or by direct heat. The main aim of this research was to define important material properties such as fracture toughness and some FE-simulation material model parameters such as damage initiation, damage evolution, and the adhesion between […]

Read More

Optimization of Damage Equivalent Accelerated Test Spectrum Derivation Using Multiple Non-Gaussian Vibration Data

Abstract The response spectra are widely used in the damage assessment of non-Gaussian random vibration environments and the derivation of damage equivalent accelerated test spectrum. The effectiveness of the latter is strongly affected by modal parameter uncertainties, multiple field data processing, and the nonsmooth shape of the derived power spectral density (PSD). Optimization of accelerated […]

Read More

A Hybrid Crack Detection Approach for Scanning Electron Microscope Image Using Deep Learning Method

Abstract The scanning electron microscope (SEM) is widely used in the analysis and research of materials, including fracture analysis, microstructure morphology, and nanomaterial analysis. With the rapid development of materials science and computer vision technology, the level of detection technology is constantly improving. In this paper, the deep learning method is used to intelligently identify […]

Read More

Randomised, controlled, open label, multicentre clinical trial to explore safety and efficacy of hyperbaric oxygen for preventing ICU admission, morbidity and mortality in adult patients with COVID-19

Abstract COVID-19 may cause severe pneumonitis and trigger a massive inflammatory response that requires ventilatory support. The intensive care unit (ICU)-mortality has been reported to be as high as 62%. Dexamethasone is the only of all anti-inflammatory drugs that have been tested to date that has shown a positive effect on mortality. We aim to […]

Read More

Data-based decision-making in maintenance service delivery: the D3M framework

Abstract Purpose – This paper aims to present a dual-perspective framework for maintenance service delivery that should be used by manufacturing companies to structure and manage their maintenance service delivery process, using aggregated historical and real-time data to improve operational decision-making. The framework, built for continuous improvement, allows the exploitation of maintenance data to improve the knowledge of service […]

Read More