Tool-based automatic generation of digital assembly instructions

Rusch, Tobias; Steuer, Julius; König, Maximilian; Sochor, Robin; Fink, Klaus; Stelzle, Benedikt; Romanelli, Massimo; Kerber, F.

doi:10.1016/j.procir.2021.03.065

Cited by 10 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the development and progress of social science and technology, the processing and production of enterprises are gradually developing in the direction of lean. After the processing and production of the product are completed, the original assembly process management mode based on the assembly experience of the operator is no longer suitable for the current production needs [1]. When the assembly time occupies a long time in the production cycle of the product, the relevant personnel needs to think about how to shorten the assembly time of the product, and in this way, the application of digital assembly process management technology in enterprises is standardized, and the refined management of enterprises is realized while ensuring timely and accurate real-time management [2].…”

Section: Introductionmentioning

confidence: 99%

Research and Development of Digital Assembly Process System for Ultrasonic Transducers

Feng

Zhu

Zhao

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

In order to solve the problem of design efficiency of the digital assembly process, the author proposes a research using ultrasonic transducer technology. The main content of this research is to study the ultrasonic transducer elements according to the basic structure of the ultrasonic transducer.Through the study of equivalent circuit of ultrasonic transducer, the model of impedance matching design is constructed. Finally, the feasibility of ultrasonic transducer technology is obtained through experiments. Experimental results show that the transducer multichip structure of the ultrasonic transducer system and the LC matching network circuit can make the AOTF system achieve better results, and the diffraction efficiency is up to more than 70%, which is of great significance to the research and development of the current digital assembly process system. Conclusion. It is proven that the research of ultrasonic transducer technology can meet the needs of digital assembly process design efficiency.

show abstract

Section: Introductionmentioning

confidence: 99%

Research and Development of Digital Assembly Process System for Ultrasonic Transducers

Feng

Zhu

Zhao

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…There are also a number of papers investigating the fundamental topic of intelligent assistance systems with a focus on two central issues: firstly, the support of the activity by a cognitive system providing context-sensitive information [10], [11] and secondly, gamification features to maintain concentration and long-term working power [12], [13]. While traditional assistance systems are usually optimized for individual processes in an elaborate manner, ontology-based methods focus on the automatic generation of dynamic assistive instructions from existing enterprise data, e.g., from the context-level information of users, tasks, environments, and information devices [14], or from the template of a product family [15].…”

Section: Related Workmentioning

confidence: 99%

Towards a Knowledge-Augmented Socio-Technical Assistance System for Product Engineering

Mittel,

Hubert,

Ding

et al. 2023

2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)

View full text Add to dashboard Cite

Digital tools for handling the whole product engineering phase are getting more and more important in the context of Industry 4.0 and an increasing product variety. However, especially in small and medium-sized enterprises, a lot of information about product development and production is stored in different documents or isolated data silos. A promising way to arrive at a solution is to model data and knowledge with ontologies and enrich it with context information. This paper presents a concept and a showcase implementation of a companyinternal and personalized assistance system for an end-to-end digital product engineering process. We combine a generic and cost-efficient human assistance solution focusing on social aspects and a company-wide knowledge graph to create a seamless and highly integrated data structure that assists many stakeholders in the product engineering process, from product designers to assembly workers. As a result, more complex products can be handled and the product engineering process can be accelerated.

show abstract

“…Static features are used to describe the posture features of human characters. e static features extracted in this paper include movement spacing, movement intensity, arm shape, footstep footprint, and balance [17,18]. e calculation method of each feature is described in detail below.…”

Section: Feature Analysis and Extractionmentioning

confidence: 99%

Research on Automatic Dance Generation System Based on Deep Learning

Lan¹

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

How to model the mapping relationship between music and dance so that the model can automatically generate the corresponding dance based on the rhythm and style of music is the most important issue to be resolved in the automatic arrangement of music and dance. Due to the flexible movement of limbs and the change in camera angle, the visual information of various parts of the human body changes drastically in practical applications, posing significant difficulties in the generation of high-resolution target dance images. Based on deep learning, this paper proposes a two-way voluntary neural network (TWCNN) dance automatic generation system (DL). The long short-term memory (LSTM) network model is an action generation sub-network, which generates each frame of action based on the extracted high-level music features and the bottom-level action features from the previous moment. The recognition accuracy of the proposed algorithm is 12.4 percent and 6.8 percent better than that of the conventional depth CNN, according to the test results.

show abstract

Tool-based automatic generation of digital assembly instructions

Cited by 10 publications

References 14 publications

Research and Development of Digital Assembly Process System for Ultrasonic Transducers

Research and Development of Digital Assembly Process System for Ultrasonic Transducers

Towards a Knowledge-Augmented Socio-Technical Assistance System for Product Engineering

Research on Automatic Dance Generation System Based on Deep Learning

Contact Info

Product

Resources

About