Shaping the digital twin for design and production engineering

Schleich, Benjamin; Anwer, Nabil; Mathieu, Luc; Wartzack, Sandro

doi:10.1016/j.cirp.2017.04.040

Cited by 946 publications

(391 citation statements)

References 14 publications

Supporting

Mentioning

307

Contrasting

Unclassified

Order By: Relevance

“…This technology creates a twin in the digital world within a computer and forecasts the outcomes using computer simulation [194,195]. This technology was first applied to manufacturing [196,197], the military [198,199], and buildings [200]. It can be applied to cities using computer simulation to create a digital twin of a city and to forecast issues related to lifestyle and disasters.…”

Section: Tourism Ecosystem and Digital Twinmentioning

confidence: 99%

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Kim

2017

Sustainability

106

View full text Add to dashboard Cite

Abstract:The purpose of this research is to identify the status and role of mobile technology in achieving sustainable and smart tourism, and to suggest future research and strategy directions for academia and managers in practice. This research utilized multiple sources, such as patents, academic articles, and news, and selected methodologies optimized for the purpose of each study. Study 1 used Netminer, a social network analysis program, to analyze the relationships between patent's International Patent Classification (IPC) codes. Study 2 used the T-LAB program for content analysis to analyze the texts of patents, journal articles, and news. Study 3 used the Leximancer program, which utilizes relative frequency to analyze mobile app consumer reviews. In study 1, we identified various forms of data related technologies and mobile technologies for smart city systems and maps. In study 2, we found the environment, sustainability, business, and market themes to be related to mobile technology. In study 3, we explored consumers' attitudes and preferences for mobile travel app using their reviews. Advances in mobile technology are expected to create innovative experiences for consumers, foster a sustainable competitive advantage for tourism destinations and tourism-related suppliers, and create sustainable competencies for smart tourism.

show abstract

Section: Tourism Ecosystem and Digital Twinmentioning

confidence: 99%

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Kim

2017

Sustainability

106

View full text Add to dashboard Cite

show abstract

“…After several years of in-depth research in the field of virtual modeling, simulation techniques, data analysis and visualization, and since the evolution of information and communications technologies digital twins saw their applications extended to several fields. Some of these fields are chiefly maintenance and product health management PHM [14], realtime monitoring [15], ergonomics [16], education [17], production systems management [18], smart grids [19], energy efficiency and more recently healthcare [20]. This multidisciplinary aspect that the concept acquired as a result of its exploitation for numerous and completely different purposes, and due to its combination with multiple concepts and technologies that included some of digital transformation major actors such as augmented reality, big data and industrial internet of things (IIOT) [21], new requirements and criteria were added for its successful implementation within industrial plants.…”

Section: Concept Developmentmentioning

confidence: 99%

Digital twins: development and implementation challenges within Moroccan context

et al. 2020

View full text Add to dashboard Cite

Industrial world today is experiencing its fourth industrial revolution. Predecessor of the automation industry, Industry-4.0 adds a layer of autonomy, intelligence and advanced connectivity to complex industrial systems. This layer creates an interactive and dynamic bridge between virtual systems and physical systems with their upward constraints and requirements in a constantly changing physical environment. Digital twins fall into the category of advanced concepts and technologies that enhance this connectivity. Several projects have been launched in Morocco by the government, industrialists and research communities, initiating the digital transformation of Moroccan industrial manufactories and companies. This paper comes within this framework, firstly to highlight the great potential that digital twins can offer for Moroccan industrial context enhancement, secondly to identify the challenges that can hinder the integration and development of digital twins in Moroccan industrial environment.

show abstract

“…In recent years, the concept of Skin Model, and its operationalization through Skin Model Shapes, has been proposed as representation of non-ideal surfaces [5] and digital twin of manufactured parts [6]. Skin Model Shapes have applications in product development, manufacturing, and inspection [7] and in linking the associated tolerancerelated interactions among these applications [8].…”

Section: Introductionmentioning

confidence: 99%

Anomaly detection in Skin Model Shapes using machine learning classifiers

Yacob

Semere

Nordgren

2019

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The concept of Skin Model Shapes has been proposed as a method to generate digital twins of manufactured parts and is a new paradigm in the design and manufacturing industry. Skin Model Shapes use discrete surface representation schemes, such as meshes and point clouds, to represent surfaces, which makes them enablers to perform an accurate tolerance analysis and surface inspection. However, online inspection of manufactured parts through use of Skin Model Shapes has not been extensively studied. Moreover, the existing geometric variation inspection techniques do not detect unfamiliar changes within tolerance, which could be the precursors to the onset of the manufacturing of out of tolerance part. To detect the unfamiliar changes, as anomalies, and categorize them as systematic and random variations, some unique surface characteristics can be extracted and studied. Random surface deviations exhibit narrow normal distributions, and systematic deviations, on the other hand, exhibit wide, skewed, and multimodal distributions. Using those surface characteristics as key traits, machine learning classifiers can be used to classify deviations into systematic and random variations. To illustrate the method, multiple samples from a truck component manufacturing line were scanned and the collected 3D point cloud data was used to extract features. A prediction score of 97-100% can be achieved by decision tree, k-nearest neighbor, support vector machines, and ensemble classifiers. The purposed approach is expected to extend the existing online inspection approaches and applications of Skin Model Shapes in quality control.

show abstract

Shaping the digital twin for design and production engineering

Cited by 946 publications

References 14 publications

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Digital twins: development and implementation challenges within Moroccan context

Anomaly detection in Skin Model Shapes using machine learning classifiers

Contact Info

Product

Resources

About