The process of motorcycle seat styling is a grey system with partially known and partially unknown information and is influenced by various factors. In this study, Grey Modelling (GM)(1,1) is used to predict the style of a motorcycle seat, and the shape features of the seat are extracted via morphological analysis and are parameterized. The process of shape evolution is established, and the modelling characteristics are predicted by GM(1,1). The kansei study is performed using five adjectives describing the seat styles to establish the equation of kansei regression analysis. The regression analysis is employed to modify predictive modelling. A certain brand of motorcycle seats is modelled to analyse and verify the feasibility and scientific applicability of adopting GM(1,1) in predicting motorcycle seat styling, which provided a feasible and effective reference for the motorcycle seat design.

The initial gap in electrochemical machining (ECM) is a significant affection parameter for ECM process and machining stability. A tool setting detection system based on LabVIEW technology has been designed to realize the rapid and accurate pinpoint between two electrodes since the initial gap of micro-ECM is usually only a few microns to tens of microns. The system can not only efficiently complete tool setting detection in micro-ECM, but also real-time monitor the change of processing current. 120 comparative experiments have been conducted to evaluate the erosion amount of workpiece material, the reliability, repeatability and positioning accuracy of micro-ECM process in the conditions of wet tool setting compared with dry tool setting. The experimental results have shown that adopting the tool setting detection system designed in this paper, the erosion rates of cathode and anode after 120 repeated wet tool setting experiments were only 0.21% and 0.02%, the positioning accuracy and repeatability can completely meet the requirements of tool setting in micro-ECM, and greatly improve the efficiency of the micro-ECM.

To improve the mechanical properties of the EDM electrode material, the electroforming process for fabricating copper-nanozirconia (ZrO2) particles composite aided by ultrasonic has been presented. In this research, some vital process parameters such as concentration of ZrO2, rotational speed and ultrasonic frequency have been evaluated. Two inspection criteria, content of ZrO2and micro hardness of deposited layer were employed to evaluate the fabrication quality of copper-nanozirconia (ZrO2) composite material. The experimental results indicate that nanocomposites grains electroformed aided by ultrasonic are refined. Their organizations are more uniform and dense, the surface is flatter and the microhardness of nanocomposites is significantly improved.

In this study, we firstly developed a numerical electrochemical micro-machining (EMM) setup. Furthermore, the effects of five vital process parameters, applied voltage, electrolyte type, electrode shape and diameter, electrode feed rate on micro-seams machining accuracy and process stability were evaluated. The experimental results show that: Wire electrodes machining accuracy is higher than that of sheet electrode. With the wire electrodes diameter decreased from 0.2mm to 0.06mm, micro-seam width is reduced by 36.55%. With the wire electrode feed rate increased from 0.2mm/min to 0.6mmm/min, micro-seam width is reduced by 44.2%. Sheet electrodes machining stability is better than that of wire electrode. The number of machining stability of sheet electrode is 25% higher than that of wire electrode in the condition of 8V applied voltage.

Nanomedicine has been used in tumor treatment and research due to its advantages of targeting, controlled release and high absorption rate. Silver nanoparticle (AgNPs), with the advantages of small particle size, and large specific surface area, are of great potential value in suppressing and killing cancer cells. Methods: AgNPs–polyethyleneimine (PEI) –folate (FA) (AgNPs–PF) were synthesised and characterised by several analytical techniques. The ovarian cancer cell line Skov3 was used as the cell model to detect the tumor treatment activity of AgNPs, AgNPs–PF and AgNPs+ AgNPs–PF. Results: Results shown that AgNPs–PF were successfully constructed with uniform particle size of 50–70 nm. AgNPs, AgNPs–PF, AgNPs–PF+ AgNPs all showed a certain ability to inhibit cancer cell proliferation, increase reactive oxygen species and decrease the mitochondrial membrane potential. All AgNPs, AgNPs–PF, AgNPs+ AgNPs–PF promoted DNA damage in Skov3 cells, accompanied by the generation of histone RAD51 and γ-H2AX site, and eventually leading to the apoptosis of Skov3 cells. The combination of AgNPs–PF and AgNPs had a more pronounced effect than either material alone. Conclusion: This study is to report that the combination of AgNPs+ AgNPs–PF can cause stronger cytotoxicity and induce significantly greater cell death compared to AgNPs or AgNPs–PF alone in Skov3 cells. Therefore, the combined application of drugs could be the best way to cancer treatment.