Redirigiendo al acceso original de articulo en 19 segundos...
Inicio  /  Applied Sciences  /  Vol: 12 Par: 20 (2022)  /  Artículo
ARTÍCULO
TITULO

Design Optimization for the Coating of Machine Tools Based on Eye-Tracking Experiments and Virtual Reality Technology

Minna Ni    
Ni Ni    
Huimin Liu    
Lei Jiang and Weiping Mo    

Resumen

The coating design of machine tools refers to the exterior appearance of a machine tool and is an important method for improving the user experience and brand image. In this study, we studied and optimized the coating design of serial CNC cylindrical grinder machines of the Shanghai Machinery Factory in China using eye-tracking experiments and virtual reality technology. Firstly, based on eye-tracking technology, experiments were carried out on various elements of the coating design of the machine tools. Secondly, the experimental data were analyzed to extract design criteria that fit the user?s visual habits and to determine the details of the coating design optimization. Thirdly, the design scheme was verified using virtual reality technology and a user questionnaire survey. The results show that it provides support for the optimization of the design and working efficiency of machine tool coatings in enterprises. Future work should investigate optimization design tools that include ergonomics based on vision experiments and virtual reality.

 Artículos similares

       
 
Kyohei Hanazaki and Wataru Yamazaki    
Busemann?s supersonic biplane airfoil can reduce wave drag through shock interactions at its designed freestream Mach number. However, a choking phenomenon occurs with a decrease in the freestream Mach number, and the drag coefficient increases significa... ver más
Revista: Aerospace

 
Zahid Masood, Muhammad Usama, Shahroz Khan, Konstantinos Kostas and Panagiotis D. Kaklis    
Generative models offer design diversity but tend to be computationally expensive, while non-generative models are computationally cost-effective but produce less diverse and often invalid designs. However, the limitations of non-generative models can be... ver más

 
Filippo Giorcelli, Sergej Antonello Sirigu, Giuseppe Giorgi, Nicolás Faedo, Mauro Bonfanti, Jacopo Ramello, Ermanno Giorcelli and Giuliana Mattiazzo    
Among the challenges generated by the global climate crisis, a significant concern is the constant increase in energy demand. This leads to the need to ensure that any novel energy systems are not only renewable but also reliable in their performance. A ... ver más

 
Sunny Kumar Poguluri and Yoon Hyeok Bae    
The incorporation of machine learning (ML) has yielded substantial benefits in detecting nonlinear patterns across a wide range of applications, including offshore engineering. Existing ML works, specifically supervised regression models, have not underg... ver más

 
Pengcheng Liu, Jian Hao, Hui Hu, Xuekun Luan and Bingqian Meng    
This article addresses the issue of energy waste resulting from frequent braking of underground mine cars and proposes an optimization design to address this. The proposed solution involves the installation of a regenerative braking device within the min... ver más
Revista: Applied Sciences