Tino Stankovic

Last Name

Stankovic

First Name

Tino

ORCID

0000-0002-9932-8369

Organisational unit

03954 - Shea, Kristina / Shea, Kristina

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Publications 1 - 10 of 49

Investigation of a Voronoi Diagram Representation for the Computational Design of Additively Manufactured Discrete Lattice Structures
Stankovic, Tino; Shea, Kristina (2020)
Journal of Mechanical Design
A lattice structure is defined by a network of interconnected structural members whose architecture exhibits some degree of regularity. Although the overall architecture of a lattice may contain many members, its generation can be a simple process in which a unit cell composed of a small amount of members, in comparison to the overall structure, is mapped throughout the Euclidean space. However, finding the right lattice architecture in a vast search space that customizes the behavior of a design for a given purpose, subject to mechanical and manufacturing constraints, is a challenging task. In response to this challenge, this work investigates a Voronoi diagram-based tessellation of a body-centered cubic cell for applications in structural synthesis and computational design of 3D lattice structures. This work contributes by exploring how the Voronoi tessellation can be utilized to parametrically represent the architecture of a lattice structure and what the implications of the parametrization are on the optimization, for which a global direct search method is used. The work considers two benchmark studies, a cubic and a cantilever lattice structure, as well as the effect of isotropic and anisotropic material property models, stemming from applications to additive manufacturing. The results show that the proposed parameterization generates complex search spaces using only four variables and includes four different lattice structure types, a Kelvin cell, a hexagonal lattice, a diamond-core lattice structure, and a box-boom type lattice structure. The global direct search method applied is shown to be effective considering two different material property models from an additive manufacturing (AM) process.
Auxetic structures used in kinesiology tapes can improve form-fitting and personalization
Meeusen, Luna; Candidori, Sara; Micoli, Laura Loredana; et al. (2022)
Scientific Reports
Each year 65% of young athletes and 25% of physically active adults suffer from at least one musculoskeletal injury that prevents them from continuing with physical activity, negatively influencing their physical and mental well-being. The treatment of musculoskeletal injuries with the adhesive elastic kinesiology tape (KT) decreases the recovery time. Patients can thus recommence physical exercise earlier. Here, a novel KT based on auxetic structures is proposed to simplify the application procedure and allow personalization. This novel KT exploits the form-fitting property of auxetics as well as their ability to simultaneously expand in two perpendicular directions when stretched. The auxetic contribution is tuned by optimizing the structure design using analytical equations and experimental measurements. A reentrant honeycomb topology is selected to demonstrate the validity of the proposed approach. Prototypes of auxetic KT to treat general elbow pains and muscle tenseness in the forearm are developed.
Computational design of active lattice structures for 4D printed pneumatic shape morphing
Du Pasquier, Cosima; Koller, Pascal; Stankovic, Tino; et al. (2019)
Proceedings of the ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2A: 45th Design Automation Conference
EDACFEM: A linear truss and beam solver in MATLAB
Chapuis, Joël; Wirth, Marc; Walker, Andreas; et al. (2024)
SoftwareX
The on-demand design of metamaterials such as lattices and bar structures is typically approached using computational methods due to their inherent complexity. An indispensable element of structural design is a reliable and easy to use FE simulation environment, which in turn not only benefits the design of underlying structures, but also, through easy customization and integration, propels the design of computational methods themselves. In response, this work provides a linear truss and beam FE simulation environment written in MATLAB. The simulation environment supports linear truss elements, Euler-Bernoulli besam elements, and Timoshenko beam elements. It further supports the introduction of self-weight and local truss buckling analysis. A variety of input methods are supported, these are specifically tailored towards simplifying the integration of the FE simulation environment in numerical optimization schemes. With this environment, researchers and design practitioners can easily simulate the mechanical response of complex bar structures without the need for interfacing with commercial FE software through cumbersome Application Programming Interfaces (APIs).
Algorithmic design of origami mechanisms and tessellations
Walker, Andreas; Stankovic, Tino (2022)
Communications Materials
Origami, the ancient art of paper folding, embodies techniques for transforming a flat sheet of paper into shapes of arbitrary complexity. Although this makes origami a conceptually attractive source of inspiration when designing foldable structures and reconfigurable metamaterials for multiple functionalities, their designs are still based on a set of well-studied patterns leaving the full potential of origami inaccessible for design practitioners and researchers. Here, we present a generalized approach for the algorithmic design of rigidly-foldable origami structures exhibiting a single kinematic degree of freedom. We build on generalized conditions for rigid foldability of degree-n vertices to design origami patterns of arbitrary size and complexity. The versatility of the approach is demonstrated by its capability to not only generate, analyze and optimize regular origami patterns, but also generate and analyze kirigami, generic three-dimensional panel-hinge assemblages and their tessellations. Due to its versatility, the approach provides an inexhaustible source of foldable patterns to inspire the design of metamaterials for a wide range of applications.
Visually Augmented Analysis of Socio-Technical Networks in Engineering Systems Design Research
Štorga, Mario; Stankovic, Tino; Cash, Philip; et al. (2021)
The Future of Transdisciplinary Design. Proceedings of the Workshop on “The Future of Transdisciplinary Design”, University of Luxembourg 2013
In characterizing systems behaviour, complex-systems scientists use tools from a variety of disciplines, including nonlinear dynamics, information theory, computation theory, evolutionary biology and social network analysis, among others. All of these topics have been studied for some time, but only fairly recently has the study of networks in general become a major topic of research in complex engineering systems. The research reported in this paper is discussing how the visually augmented analysis of complex socio-networks (networks of people and technology engaged in a product/service-system (PSS) life cycle) may be applied in engineering design research. Network thinking of the kind described in this paper could be fundamental for developing new and effective techniques for solving the problems in the engineering design research related to the interpretation of the huge amount of data captured during experiments and observations that are more and more used as a main research method. Case studies that are presented illustrate also the significance of the network based research approach in providing insight into ways of improving the design process for complex engineering systems.
Optimization for Anisotropy in Additively Manufactured Lattice Structures
Stankovic, Tino; Mueller, Jochen; Shea, Kristina (2016)
42nd Design Automation Conference. Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
A Heuristic Algorithm for Rigid Foldability
Zimmermann, Luca; Shea, Kristina; Stankovic, Tino (2019)
Journal of Mechanisms and Robotics
Method for identification and integration of design automation tasks in industrial contexts
Rigger, Eugen; Shea, Kristina; Stankovic, Tino (2022)
Advanced Engineering Informatics
Current industrial practice does not reflect the opportunities provided by state-of-the-art design automation methods. The limited application of computational methods to support the design process by automating design tasks is caused by the lack of methods for comprehensive design automation task definition. Therefore, potential design automation tasks are not recognized and already deployed solutions lack integration to design practice from a product lifecycle management (PLM) perspective. In response to these shortcomings, this work proposes a method for identification and integration of design automation tasks that features collaborative workshops and enterprise architecture modelling for comprehensive analysis of design processes including its technological environments. The method applies design automation task templates that contextualize the knowledge levels required for design automation task definition and the design process including its technological environments. Evaluation with three industrial cases shows that the method enables efficient identification and integration of potential design automation tasks in a PLM context. The application of knowledge levels in conjunction with enterprise architecture modelling support the identification and validation of the relevant sources of knowledge required for design automation task formalization. Thus, this work contributes by introducing and evaluating a novel method for design automation task definition that brings the opportunities of state-of-the-art design automation methods into line with requirements stemming from design practice and the related PLM.
Task categorisation for identification of design automation opportunities
Rigger, Eugen; Shea, Kristina; Stankovic, Tino (2018)
Journal of Engineering Design

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Tino Stankovic

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