Deep reinforcement learning in smart manufacturing: A review and prospects
To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
Failure behavior and mechanical properties of novel dieless clinched joints with different sheet thickness ratios
As one of the advanced and efficient means of joining, the clinching process is capable of
joining sheets with different materials or different sheet thicknesses. In this article, a novel …
joining sheets with different materials or different sheet thicknesses. In this article, a novel …
Robust estimation of clinch joint characteristics based on data-driven methods
C Zirngibl, B Schleich, S Wartzack - The International Journal of Advanced …, 2023 - Springer
Given a steadily increasing demand on multi-material lightweight designs, fast and cost-
efficient production technologies, such as the mechanical joining process clinching, are …
efficient production technologies, such as the mechanical joining process clinching, are …
Estimation of clinch joint characteristics based on limited input data using pre-trained metamodels
C Zirngibl, B Schleich, S Wartzack - AI, 2022 - mdpi.com
Given strict emission targets and legal requirements, especially in the automotive industry,
environmentally friendly and simultaneously versatile applicable production technologies …
environmentally friendly and simultaneously versatile applicable production technologies …
Deep Reinforcement Learning for Continuous Control of Material Thickness
To achieve the desired quality standards of certain manufactured materials, the involved
parameters are still adjusted by knowledge-based procedures according to human …
parameters are still adjusted by knowledge-based procedures according to human …
Application of Deep Learning Algorithm in Visual Optimization of Industrial Design
C Zhang - Scalable Computing: Practice and Experience, 2024 - scpe.org
In order to understand the application of degree learning algorithms in industrial design
visual optimization, the author proposes an application research based on deep learning …
visual optimization, the author proposes an application research based on deep learning …
Approach for the Reliable and Virtual Design of Mechanical Joints in an Uncertain Environment
The demand for lightweight assemblies necessitates appropiate joining processes, such as
cold forming processes enabling multi-material joints. The absence of universally applicable …
cold forming processes enabling multi-material joints. The absence of universally applicable …
Determining the Effect of Process Parameters on Shearing Strength of Rotated Clinching Joint Using the Response Surface Method
Y He, L Yang, J Dang, A Gao, J Ma - Processes, 2022 - mdpi.com
Rotated clinching is a novel cold plastic deformation joining process, which is suitable for
the multi-point simultaneous joining of sheet metals. However, the effect of various …
the multi-point simultaneous joining of sheet metals. However, the effect of various …
Enhancing Generalization in Sparse Reward Environments: A Fusion of Reinforcement Learning and Genetic Algorithms
A Kunchapu, RP Kumar - 2023 Global Conference on …, 2023 - ieeexplore.ieee.org
This paper investigates the viability of merging attributes of reinforcement learning and
genetic algorithms to enhance agent learning in reward-sparse environments. The primary …
genetic algorithms to enhance agent learning in reward-sparse environments. The primary …