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In this lesson, determine the ratio of the maximum bending moments applied to two metal pipes, given that both pipes can withstand a maximum stress of 100 MPa. Both pipes have an outer radius of 1.8 cm. Pipe A has an inner radius of 1.5 cm, and Pipe B has an inner radius of 1 cm. The ratio of the maximum bending moment applied to two metallic pipes, each with a different inner and outer radius, is determined by considering their dimensions. The inner radius of the first pipe is 1.5 cm, and for...
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The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
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Steel Fastening Techniques01:17

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Steel sections can be joined together through various fastening techniques including riveting, bolting, and welding, each suitable for different structural requirements and conditions.
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Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
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Singularity Functions for Bending Moment01:18

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Singularity functions simplify the representation of bending moments in beams subjected to discontinuous loading, allowing the use of a single mathematical expression. For a supported beam AB, with uniform loading from its midpoint M to the right side end B, the approach involves conceptual 'cuts' at specific points to determine the bending moment in each segment. By cutting the beam at a point between A and M, the bending moment for the segment before reaching midpoint M is represented...
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Residual stresses reside in a structure even after removing the original stress inducer. This phenomenon often arises from varied plastic deformations across different parts of a structure. Consider a rod stretched beyond its yield point. It will not regain its original length due to permanent deformation. Even after load removal, the rod does not entirely lose stress because of uneven plastic deformations, resulting in residual stresses. The computation of these stresses in structures is...
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Surrogate Model Development for Digital Experiments in Welding
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Automatic Adaptive Weld Seam Width Control Method for Long-Distance Pipeline Ring Welds.

Yi Zhang1,2, Shaojie Wu1, Fangjie Cheng1,3

  • 1School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China.

Sensors (Basel, Switzerland)
|April 26, 2025
PubMed
Summary
This summary is machine-generated.

A new algorithm accurately controls welding torch swing by precisely identifying pipe bevel geometry. This method improves dynamic performance and adaptability for variable-width welds.

Keywords:
adaptive torch swing width trackingautomatic weldingimage processinglaser sensorsecond-order derivative zero method

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Area of Science:

  • Robotics and Automation
  • Materials Science and Engineering
  • Welding Technology

Background:

  • Conventional methods for welding torch control struggle with pseudo-inflection points in bevel geometry.
  • Accurate real-time geometric data is crucial for controlling torch swing in all-position welding.

Purpose of the Study:

  • To develop a novel algorithm for precise identification of bevel inflection points in variable-width pipe welding.
  • To enhance the dynamic performance and adaptability of welding torch swing control systems.

Main Methods:

  • A third-order derivative weighted average threshold algorithm was developed, incorporating image processing and cubic spline fitting.
  • Dual-angle sensors were used to synchronize laser-detected geometry with real-time torch adjustments.
  • The algorithm utilizes extracted second-order derivative eigenvalues to derive third-order derivative features for inflection point identification.

Main Results:

  • The system achieved a steady-state error of 1.645% and a dynamic response time under 50 ms.
  • Torch center trajectory tracking errors were constrained within ±0.1 mm.
  • The proposed algorithm demonstrated a 20.6% improvement in dynamic performance over conventional methods and adaptability to narrow-gap V-grooves.

Conclusions:

  • The developed algorithm provides real-time, accurate control for variable-width weld tracking.
  • A swing-width adaptive control system was successfully established for pipeline welding.
  • The method offers superior performance and adaptability compared to existing techniques.