Aleksandr Amirkhanov

Aleksandr Amirkhanov
TU Wien | TU Wien · Institute of Visual Computing & Human-Centered Technology

About

9
Publications
1,528
Reads
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72
Citations
Introduction

Publications

Publications (9)
Article
Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scientific setting where sometimes contradicting multiple objectives require trade-offs and optimizations...
Article
Full-text available
Dental healthcare increasingly employs computer-aided design software, to provide patients with high-quality dental prosthetic devices. In modern dental reconstruction, dental technicians address the unique anatomy of each patient individually, by capturing the dental impression and measuring the mandibular movements. Subsequently, dental technicia...
Article
Full-text available
Mathematical models of ordinary differential equations are used to describe and understand biological phenomena. These models are dynamical systems that often describe the time evolution of more than three variables, i.e., their dynamics take place in a multi‐dimensional space, called the phase space. Currently, mathematical domain scientists use p...
Article
We present the Bladder Runner, a novel tool to enable detailed visual exploration and analysis of the impact of bladder shape variation on the accuracy of dose delivery, during the course of prostate cancer radiotherapy (RT). Our tool enables the investigation of individual patients and cohorts through the entire treatment process, and it can give...
Poster
The open source software open_iA is presented, which facilitates non-destructive testing tasks such as feature extraction, quantification and visualization involving industrial computed tomography datasets. open_iA provides a general framework for visualizing and processing volumetric datasets, including a 3D view, axis-aligned slicers, as well as...
Conference Paper
Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used by dental technicians typically do not include the aesthetic analysis, which often leads to unsatisfactory results for patients...
Article
Material engineers use interrupted in situ tensile testing to investigate the damage mechanisms in composite materials. For each subsequent scan, the load is incrementally increased until the specimen is completely fractured. During the interrupted in situ testing of glass fiber reinforced polymers (GFRPs) defects of four types are expected to appe...
Article
Full-text available
Advanced composites such as fiber reinforced polymers are promising candidate materials for future components as they allow integrating the continuously rising demands of industry regarding cost-effectiveness, function-orientation, integration and weight. The most important structures of fiber reinforced polymers are the individual fibers, as their...

Network

Cited By

Projects

Project (1)
Archived project
The non-destructive quality control of a wide variety of high-added value products, produced by innovative manufacturing techniques, remains a challenge. Examples include additive manufacturing parts, micro parts, and fibre reinforced composite parts. Common to these workpieces is the dependency of their performance on internal and inaccessible elements. Nevertheless, customers in multiple sectors are requesting certified quality and reliability. For the last few years industrial Computed Tomography (CT) has been regarded as a promising technology, which can evolve towards integrated quality control of complex workpieces combining dimensional metrology and material defect analysis. However, major challenges remain in order to exploit its full potential. Meeting these requires a broad range of expertise, including physics, dimensional metrology, non-destructive testing, material sciences, precision engineering, and manufacturing engineering. Due to the distinct interdisciplinary character, there is a strong need for young researchers with a broad range of competences to achieve the envisaged innovation breakthrough in the EU industry. The INTERAQCT project has been conceived as a pan-European industrial-academic initiative that will provide the unique and encompassing training environment required, by bringing together expertise from industry and academia in each of these domains (CT-equipment, CT-software, NDT, dimensional metrology, additive manufacturing, micro-manufacturing, composite manufacturing). The research will develop procedures for fast and accurate CT model acquisition, with special emphasis on multi-material parts. Furthermore, INTERAQCT targets quantification and improvement of the reliability of CT measurement results, by determining the probability of detection of material defects as well as by achieving metrological traceability. In addition, CT based quality improvement loops will be targeted for key emerging manufacturing technologies.