Search results

This study aims to examine the relationship between employees’ psychological contract breach and two types of voice behavior based on the social exchange theory. Additionally, the study explores the role of globally responsible business leadership in buffering the negative impacts of psychological contract breach on voice.

Survey data was collected from Chinese full-time employees and the final sample size is 337. Partial least squares structural equation modeling was used to test the hypotheses.

Findings indicate that psychological contract breach (PCB) has a positive and significant impact on employee aggressive voice behavior (AVB), while its relationship with constructive voice behavior (CVB) is not significant. Furthermore, globally responsible business leadership (GRBL) weakens the negative relationship between PCB and CVB, while strengthens the positive relationship between PCB and AVB.

The findings assist organizations in better recognizing the detrimental consequences of psychological contract breach. Second, the findings serve as a reminder to managers of the benefits of displaying globally responsible business leadership. Third, managers should recognize the complexities of globally responsible business leadership.

First, this study sheds new light on the impact of PCB on employees’ desirable and undesirable proactive behaviors by investigating how and when psychological contract breach affects two types of voice behavior. Second, the moderating role of GRBL further enriches our understanding of how to buffer negative effects of PCB and the desirable function of GRBL. Third, this study enriches the social exchange theory by investigating whether the leader−employee relationship will compensate for the failure of organization−employee relationship.

The application of thermal barrier coatings (TBCs) allows aero-engine blades to operate at higher temperatures with higher efficiency. The preparation of the TBCs increases the surface roughness of the blade, which impacts the thermal cycle life and thermal insulation performance of the coating. To reduce the surface roughness of blades, particularly the blades with small size and complex curvature, this paper aims to propose a method for industrial robot polishing trajectory planning based on on-site measuring point cloud.

The authors propose an integrated robotic polishing trajectory planning method using point cloud processing technical. At first, the acquired point cloud is preprocessed, which includes filtering and plane segmentation algorithm, to extract the blade body point cloud. Then, the point cloud slicing algorithm and the intersection method are used to create a preliminary contact point set. Finally, the Douglas–Peucker algorithm and pose frame estimation are applied to extract the tool-tip positions and optimize the tool contact posture, respectively. The resultant trajectory is evaluated by simulation and experiment implementation.

The target points of trajectory are not evenly distributed on the blade surface but rather fluctuate with surface curvature. The simulated linear and orientation speeds of the robot end could be relatively steady over 98% of the total time within 20% reduction of the rest time. After polishing experiments, the coating roughness on the blade surface is reduced dramatically from Ra 7–8 µm to below Ra 1.0 µm. The removal of the TBCs is less than 100 mg, which is significantly less than the weight of the prepared coatings. The blade surface becomes smoothed to a mirror-like state.

The research on robotic polishing of aero-engine turbine blade TBCs is worthwhile. The real-time trajectory planning based on measuring point cloud can address the problem that there is no standard computer-aided drawing model and the geometry and size of the workpiece to be processed differ. The extraction and optimization of tool contact points based on point cloud features can enhance the smoothness of the robot movement, stability of the polishing speed and performance of the blade surface after polishing.