Picking with a robot colleague: A systematic literature review and evaluation of technology acceptance in human-robot collaborative warehouses

Dynamic characteristic analysis of rotating blade with breathing crack

Influence of Welding Residual Stress on Subsurface Fatigue Crack Propagation of Rail

Crack is the most common failure mode of the pipeline system, which may lead to high-speed and high-pressure hydraulic oil leakage. In this paper, the dynamic modeling and model order reduction methods for the fluid-delivering cracked pipeline (FDCP) considering the breathing effect are proposed, and the structural intensity method (SIM) is introduced to visualize the vibration transmission and breathing effect of FDCP. The fluid, solid, and coupling elements are constructed to establish the dynamic model of FDCP, the spring element is used to simulate the breathing effect, the dynamic substructure method is extended to perform the model order reduction of FDCP, and the rationality of the modeling method is verified by experiments. SIM and energy principles are used to visualize and analyze the vibration transmission of FDCP. The analysis results show that the natural frequencies are sensitive to the cracks in the maximum modal displacement and stress regions, and the fluid velocity and pressure (FVAP) will enhance the breathing effect of FDCP. In addition, the vibration transmission analysis can accurately detect the crack with different damage degrees, and FVAP do not influence the vibration transmission laws. The modeling and analysis method in this paper can provide a theoretical reference for fault diagnosis of FDCP. 

Dynamic modeling and analysis of fluid-delivering cracked pipeline considering breathing effect


Purpose
This paper aims to provide a comprehensive analysis of the state of the art in energy efficiency for autonomous mobile robots (AMRs), focusing on energy sources, consumption models, energy-efficient locomotion, hardware energy consumption, optimization in path planning and scheduling methods, and to suggest future research directions.


Design/methodology/approach
The systematic literature review (SLR) identified 244 papers for analysis. Research articles published from 2010 onwards were searched in databases including Google Scholar, ScienceDirect and Scopus using keywords and search criteria related to energy and power management in various robotic systems.


Findings
The review highlights the following key findings: batteries are the primary energy source for AMRs, with advances in battery management systems enhancing efficiency; hybrid models offer superior accuracy and robustness; locomotion contributes over 50% of a mobile robot’s total energy consumption, emphasizing the need for optimized control methods; factors such as the center of mass impact AMR energy consumption; path planning algorithms and scheduling methods are essential for energy optimization, with algorithm choice depending on specific requirements and constraints.


Research limitations/implications
The review concentrates on wheeled robots, excluding walking ones. Future work should improve consumption models, explore optimization methods, examine artificial intelligence/machine learning roles and assess energy efficiency trade-offs.


Originality/value
This paper provides a comprehensive analysis of energy efficiency in AMRs, highlighting the key findings from the SLR and suggests future research directions for further advancements in this field.


A review on energy efficiency in autonomous mobile robots

Novel energy identification method for shallow cracked rotor system

Robots' picking efficiency and pickers' energy expenditure: the item storage assignment policy in robotic mobile fulfillment system

http://manuscript.elsevier.com/S1350630722000905/pdf/S1350630722000905.pdf

Numerical investigation on wheel-rail impact contact solutions excited by rail spalling failure

Structural parameters and inlet preswirl have great influences on the static and dynamic characteristics of honeycomb seals. In this paper, a multifrequency elliptical vortex dynamic model of a honeycomb seal was established by an unsteady dynamic grid technique. Based on verification of the numerical model, the effects of honeycomb cell size, axial length, and inlet preswirl on seal performance were investigated. Rotor–bearing–seal stability experiments were carried out to measure the logarithmic decrement rate of the rotor system under different rotational speeds, and the stability of the rotor system was further analyzed. The results showed that with increasing hole depth, leakage of the honeycomb seal increased initially due to the increasing airflow rate in response to vortex formation, and thereafter decreased, caused by the intense dissipation effect of turbulence. With increasing opposite-edge distance of core cell and decreasing axial length, the decreasing number of honeycomb cores on stator surfaces weakened the dissipation capacity of the turbulence, resulting in increases of leakage. Inlet preswirl had little effect on the leakage. However, it had a lower absolute value of tangential airflow excitation force and a lower effective damping coefficient under a higher inlet preswirl, indicating a lower dynamic characteristic of the honeycomb seal. Compared with other seals with different parameters, the honeycomb seal with structural parameters of B3H3L96 showed a higher effective damping coefficient under different inlet/outlet pressure ratios and different vortex frequencies and a higher logarithmic decrement rate under different rotational speeds, indicating a better stability of the rotor system. 

Influence Factors of Honeycomb Seal Performance and Stability Analysis of Rotor System

Chemical Production Planning Optimization with Optimal Management of Purchase and Inventory

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