Query returned 1281 results.
A Survey on the Challenges Hindering the Application of Data Science, Digital Twins and Design Automation in Engineering Practice
Simon R // 2022
Digital Engineering is an emerging trend and aims to support engineering design by integrating computational technologies like design automation, data science, digital twins, and product lifecycle ...
A Systems Thinking Approach to Data-Driven Product Development
Tommy Langen, Kristin Falk, Mo Mansouri // 2022
The amount of information in our society and its opportunities have given rise to Big Data research. The systems supplier industry needs suitable tools and methods to ensure the harvest and ...
Active-Learning Combined with Topology Optimization for Top-Down Design of Multi-Component Systems
Lukas Krischer, Anand Vazhapilli Sureshbabu, Markus Zimmermann // 2022
In top-down design, optimal component requirements are difficult to derive, as the feasible components that satisfy these requirements are yet to be designed and hence unknown. Meta models that ...
Aggregation of Multiple-Level DSMs: Key Challenges and Some Tentative Solutions
Yassine, Ali (1); Worren, Nicolay (2); Christiansen, Tore (3); Soldal, Kim (3) // 2022
Team-based DSMs sometimes contain data representing three or more system levels (e.g., role/individual, team, department, organization). The question that then arises is whether and how lower-level ...
An AI-Assisted Design Method for Topology Optimization without Pre-Optimized Training Data
Alex Halle, Lucio Flavio Campanile, Alexander Hasse // 2022
Engineers widely use topology optimization during the initial process of product development to obtain a first possible geometry design. The state-of-the-art method is iterative calculation, which ...
Analysis of degradation models for modelling the lifetime heterogeneity of complex systems
Robin Bauer, David Inkermann // 2022
Lifetime heterogeneity results from differing lifetimes of subsystems and components (entities) within a system and is a key criteria to evaluate life cycle options, like upgrading or reuse, for more ...
Approach for Developing Digital Twins of Smart Products Based on Linked Lifecycle Information
Thomas Eickhoff, Sven Forte, Jens Christian G // 2022
The ongoing digitization of engineering processes and the increasing prevalence of smart products create possibilities for new business models and services. Digital twins enable the collection of all ...
Automated Requirement Dependency Analysis for Complex Technical Systems
Iris Gr // 2022
Requirements changes are a leading cause for project failures. Due to propagation effects, change management requires dependency analysis. Existing approaches have shortcomings regarding ability to ...
Biomaterials in Everyday Design: Understanding Perceptions of Designers and Non-Designers
Nurul 'Ayn Ahmad Sayuti (1,2), Bjorn Sommer (2), Saeema Ahmed-Kristensen (3) // 2022
The application of biological materials in everyday design is gaining traction and designers are encouraged to employ biological systems through biodesign and biophilia. However, there is a ...
Closed-Loop Engineering Approach for Data-Driven Product Planning
Thomas Dickopf, Christo Apostolov // 2022
This contribution introduces an approach for data-driven optimization of products and their product generations through a Closed-Loop Engineering approach resulting from the German research project ...
Cost Optimization of Product Families Using Solution Spaces: Application to Early-Stage Electric Vehicle Design
Sebastian R // 2022
Companies offer products in different variants to reach more customers. This increases internal variety and cost. However, reducing those cost is difficult due to complexity. Complexity arises from: ...
Data Networking for Industrial Data Analysis Based on a Data Backbone System
Andreas Eiden (1), Thomas Eickhoff (1), Jens Christian G // 2022
Industrial Data Analytics needs access to huge amounts of data, which is scattered across different IT systems. As part of an integrated reference kit for Industrial Data Analytics, there is a need ...
Data-Based Method for the Implementation Planning of Engineering Changes in the Automotive Industry
Raquel Capistrano Burgos (1), Fabian Sippl (1), Ognjen Radisic-Aberger (2), Tim Weisser (2) // 2022
Each year, automotive OEMs implement a variety of Engineering Changes (ECs) in their production. In the timing of ECs, different KPIs are often in conflict with one another or even unknown to the ...
Data-Driven Design Support for Additively Manufactured Heating Elements
Karl Hilbig, Maximilian Nowka, Julian Redeker, Hagen Watschke, Vincent Friesen, Anna Duden, Thomas Vietor // 2022
Additive Manufacturing (AM) enables innovative product designs. One promising research field is AM of integrated electrically structures, e.g. heating panels using Joule effect. A mayor challenge in ...
Deformation Taxonomy of Additively Manufactured Lattice Structures
Alan Air (1,2), Andrew Wodehouse (1) // 2022
Additive manufacturing offers opportunities for designed mechanical deformation within parts by integrating lattice structures into their designs. This work re-analyses and translates data on lattice ...
Designing Long-Lasting Products: Barriers for Design Consultancies
Andreas Fenger Bendixen, Carina N // 2022
Past research shows there are significant barriers for creating long lasting products. In this paper we examine, the distinct collaborative barriers design consultancies face when striving to design ...
Detection of Cause-Effect Relationships in Life Cycle Sustainability Assessment Based on an Engineering Graph
Gregor M. Schweitzer (1), Simon M // 2022
Although Life Cycle Sustainability Assessments (LCSA) are important in evaluating the sustainability of complex products and services, there is no sufficient support for engineers performing LCSA. ...
Development Method for Enabling the Utilisation of a Sensory Function in a Central Component Based on Its Physical Properties
Benjamin Kraus, Jakob Valentin Schwind, Eckhard Kirchner // 2022
In the context of condition monitoring and predictive maintenance, collecting accurate data from technical systems is an important corner stone of the advancing digitalization. For gathering precise ...
Digital Twins of existing long-living assets: reverse instantiation of the mid-life twin
Keno Moenck (1), Fabian Laukotka (2), Dieter Krause (2), Thorsten Schüppstuhl (1) // 2022
The added value of long-living assets declines during their lifespan, especially if they do not undergo regular planning intensive maintenance and retrofits. Here, the Digital Twin (DT) concept can ...
Directional Effects of Load Deviations on the Buckling of Cylindrical Shells in Experiment and Design
Stefan Panek, Tobias S. Hartwich, Dieter Krause // 2022
Exploiting the lightweight design potential of thin-walled shells requires precise buckling load predictions. Due to numerous scattering parameters affecting the buckling load, probabilistic ...
Enabling Initial Design-Checks of Parametric Designs Using Digital Engineering Methods
Benjamin Gersch // 2022
The world consequently gets faster, so does product development. Therefore, the stock of development and simulation data increases continuously. Unfortunately, inexperienced users cannot cope with ...
Enhancing the Quality of User Research Using Embedded IoT Sensors for Collecting Life Information
Tomoyuki Tanaka, Yuki Taoka, Shigeki Saito // 2022
This study aims at developing a new user research method that uses IoT sensors embedded at users' homes to enable users to recall their memories. The proposed method was evaluated by experiments ...
Estimation of Composite Laminate Ply Angles Using an Inverse Bayesian Approach Based on Surrogate Models
Michael Franz (1), Simon Pfingstl (2), Markus Zimmermann (2), Sandro Wartzack (1) // 2022
A digital twin (DT) relies on a detailed, virtual representation of a physical product. Since uncertainties and deviations can lead to significant changes in the functionality and quality of ...
Evaluate Similarity of Requirements with Multilingual Natural Language Processing
Ursina Bisang (1), J // 2022
Finding redundant requirements or semantically similar ones in previous projects is a very time-consuming task in engineering design, especially with multilingual data. Due to modern NLP it is ...
Boolean Searches
The following examples demonstrate some search strings that use boolean operators:
- design community
Find rows that contain at least one of the two words. - +design +community
Find rows that contain both words. - +design community
Find rows that contain the word “design”, but rank rows higher if they also contain “community”. - +design -community
Find rows that contain the word “design” but not “community”. - +design ~community
Find rows that contain the word “design”, but if the row also contains the word “community”, rate it lower than if row does not. - +design +(>community <decisions)
Find rows that contain the words “design” and “community”, or “design” and “decisions” (in any order), but rank “design community” higher than “design decisions” - design*
Find rows that contain words such as “design”, “designs”, “designing”, or “designer”. - "some words"
Find rows that contain the exact phrase “some words” (for example, rows that contain “some words of wisdom” but not “some noise words”). Note that the " characters that enclose the phrase are operator characters that delimit the phrase. They are not the quotation marks that enclose the search string itself.