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Related Concept Videos

Stability of structures01:14

Stability of structures

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In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
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Design Consideration01:22

Design Consideration

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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
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Stress: General Loading Conditions01:15

Stress: General Loading Conditions

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To grasp the intricacy of real-world conditions where multiple loads are applied simultaneously to a structure, one might visualize a section passing through a specific point within a body, aligned parallel to the xy plane. This section is subjected to various forces, including original loads, normal forces, and shearing forces.
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Components of Stress01:23

Components of Stress

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Stress analysis under multiple loading conditions is intricate, necessitating a comprehensive grasp of normal and shearing stresses. Consider a small cube at point O, subjected to stress on all six faces, visible or not. Normal stress components σx, σy, σz act perpendicularly to the x, y, and z axes. Shearing stress components τxy and τxz are exerted on faces perpendicular to these axes.
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Consider an object upon which multiple forces are acting. If the lines of action of each force lie within the same plane, the system can be considered coplanar. The Cartesian vector form can be used to resolve each force into its respective components. For a coplanar system, the system will be in equilibrium if each component of the resultant force equals zero and the resultant force on the system is zero. If the sum of the forces is not equal to zero, then the object will not be in equilibrium...
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In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
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Structural Stability Assessment for Optimal Order Picking in Box-Stacked Storage Logistics.

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  • 1Department of Mechanical Engineering, Soongsil University, Seoul 06978, Republic of Korea.

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This study introduces a structural stability assessment (SSA) method for efficient order picking in box-stacking storage (BSS). It uses a CNN model to determine if target boxes can be picked directly, improving logistics operations.

Keywords:
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Area of Science:

  • Logistics and Supply Chain Management
  • Artificial Intelligence in Operations Research
  • Robotics and Automation

Background:

  • Traditional order picking in multi-layer box-stacking storage (BSS) can be inefficient due to the need to remove upper boxes.
  • Assessing the structural stability of BSS after box removal is crucial for safe and efficient operations.

Purpose of the Study:

  • To develop a time-efficient order picking method for BSS.
  • To enable direct picking of target boxes by evaluating structural stability.
  • To optimize order picking paths and reduce operational time.

Main Methods:

  • Proposed a structural stability assessment (SSA) algorithm for BSS.
  • Developed a Convolutional Neural Network (CNN) model trained on simulated and real-world BSS data.
  • The SSA algorithm generates complement structure images for CNN input to evaluate stability after target box removal.

Main Results:

  • The CNN model achieved 95.1% accuracy on test data and 97% accuracy on real-world data.
  • The method enables direct picking of target boxes when structurally feasible, bypassing the need to remove upper boxes.
  • Validated the algorithm's effectiveness in real-world BSS logistics environments.

Conclusions:

  • The proposed SSA method, powered by a CNN, significantly enhances order picking efficiency in BSS.
  • This approach allows for optimal path generation, directly accessing target boxes and reducing handling time.
  • The validated algorithm is suitable for practical implementation in BSS logistics for improved performance.