A carbon emission prediction model of mechanical parts machining based on structural design parameters

A carbon emission prediction model of mechanical parts machining based on structural design parameter

Hyperspectral imaging-based early damage degree representation of apple: a method of correlation coefficient

Hyperspectral imaging-based early damage degree representation of apple: a method of correlation coefficien

Fine-tuning Transfer Learning based on DCGAN Integrated with Self-attention and Spectral Normalization for Bearing Fault Diagnosis

Fine-tuning Transfer Learning based on DCGAN Integrated with Self-attention and Spectral Normalization for Bearing Fault Diagnosi

Quantitative surface characterisation and stress concentration of additively manufactured NiTi lattice struts

With the advancement of metal additive manufacturing (AM), lattice structures become a promising solution to situations that require lightweight design and yet maintain adequate mechanical strength. Limited by the quality of feedstock materials, the layer-wise process characteristic and the dynamic nature of thermal environment, lattice structures made by AM often suffer from process-induced imperfections such as poor surface finish and notable geometric deviation. In this study, systematic quantitative characterisation methods are developed to address surface quality and geometric discrepancy of NiTi lattice struts made by laser powder bed fusion (LPBF), with a special focus on fatigue-related features such as stress concentration factors. The results show that for the examined strut diameters and inclination angles, the strut diameter plays a significant role in geometry inaccuracy and the inclination angle has a greater effect on surface texture and stress concentration factor distribution on the surface. Lattice struts with diameters greater than 0.7 mm and inclination angles over 40° with respect to the platform exhibit superior manufacturing quality among all configurations of the struts. The proposed approach not only opens a new avenue to evaluate μ-CT data in a more quantitative way but also offers opportunities to develop guidelines for lattice structure design

Static and dynamic mechanical behaviors of Ni-rich Ni50.2Ti49.8 made by laser powder bed fusion

Static and dynamic mechanical behaviors of Ni-rich Ni50.2Ti49.8 made by laser powder bed fusio

Application of design-based learning and outcome-based education in basic industrial engineering teaching: A new teaching method

This paper provides and illustrates a design-based learning (DBL) and outcome-based education (OBE) approach for fostering the innovation, practice, and autonomous learning ability of industrial engineering students. We performed two studies with on industrial engineering students in typical educational activities. The first study used a topic of “sheet metal parts turnover protection optimization” to explore the application effect of “DBL + OBE” and its shortcomings in the implementation process, so as to help students understand this new teaching method. Then, in order to verify the use effect of “DBL + OBE”, the second study used the topic of “production line balance” to divide the students into an experimental class and a control class. The experimental class adopted the design learning teaching method, while the control class adopted the traditional teaching method. In order to verify the effectiveness of the proposed method, students and teachers were interviewed. It was found that the students in the experimental class were more outstanding in personal abilities, such as systematic thinking, independent innovation ability, etc. The results show that: the rational use of design-based learning and outcome-based education concept can stimulate students’ interest in learning, cultivate students’ team spirit, improve students’ innovation ability, practical ability and problem solving ability, and cultivate “innovative talents” needed in the new era

Material Wear Calculation of Braking Surface under High-Power Braking Conditions

The wear phenomenon of the braking surface of a high-power disc brake under emergency braking conditions is analyzed in this paper. Considering the classical Archard wear model, including the influence of the braking load, speed, and friction coefficient on the braking surface, the wear model of the brake disc surface is established to obtain the wear depth and distribution. It is essential to investigate the wear mechanism of the brake disc surface, and the evolution of wear laws is revealed under different braking parameters. The results have shown that the brake disc surface wear is constantly accumulating. The large load, the high speed, and the large friction coefficient would aggravate the surface wear area. It is expected that the wear study of the brake disc surface can guide the design of the disc brake

Muti-assistant Knowledge Distillation for Lightweight Bearing Fault Diagnosis Based on Decreasing Threshold Channel Pruning

Muti-assistant Knowledge Distillation for Lightweight Bearing Fault Diagnosis Based on Decreasing Threshold Channel Pruning</p