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Related Concept Videos

Internal Loadings in Structural Members: Problem Solving01:28

Internal Loadings in Structural Members: Problem Solving

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When designing or analyzing a structural member, it is important to consider the internal loadings developed within the member. These internal loadings include normal force, shear force, and bending moment. Engineers can ensure that the structural member can support the applied external forces by calculating these internal loadings.
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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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Unsymmetric Loading of Thin-Walled Members01:23

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Thin-walled members with non-symmetrical cross-sections are vital to engineering structures, offering material efficiency and structural integrity. However, unsymmetrical loading on these members leads to complex stress distributions, resulting in simultaneous bending and twisting can cause deformation or structural failure. The interaction between bending and twisting requires detailed analysis to ensure structural resilience.
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Hemangioblasts are multipotent stem cells originating from the mesoderm. They give rise to hematopoietic stem cells (HSCs), which undergo hematopoiesis to produce all the formed elements of blood. This process is regulated by a complex network of hematopoietic growth factors, including transcription factors, growth factors, and cytokines. These factors stimulate the HSCs to divide and differentiate, though some HSCs remain undifferentiated to maintain a self-renewing pool.
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The design of prismatic beams, structural elements with a uniform cross-section, focuses on ensuring safety and structural integrity under load. The design process begins by determining the allowable stress, either from material properties tables, or by dividing the material's ultimate strength by a safety factor. This safety factor is essential for accommodating uncertainties, and varies depending on the material—timber, steel, or concrete—with each having unique strength and...
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In analyzing a thin-walled hollow shaft subjected to torsional loading, a segment with width dx is isolated for examination. Despite its equilibrium state, this segment faces torsional shearing forces at its ends. These forces are quantitatively described by the product of the longitudinal shearing stress on the segment's minor surface and the area of this surface, leading to the concept of shear flow. This shear flow is consistent throughout the structure, indicating a uniform distribution...
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Updated: Oct 27, 2025

A Soft Tooling Process Chain for Injection Molding of a 3D Component with Micro Pillars
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Combining Structural Optimization and Process Assurance in Implicit Modelling for Casting Parts.

Tobias Rosnitschek1, Maximilian Erber2, Christoph Hartmann2

  • 1Engineering Design and CAD, University of Bayreuth, Universitaetsstr. 30, 95447 Bayreuth, Germany.

Materials (Basel, Switzerland)
|July 19, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method combining topology optimization (TO) and process assurance (PA) for die casting parts. This approach enhances manufacturability and structural integrity, reducing manual effort and computational costs.

Keywords:
die castingimplicit modelingprocess assurancestructural optimizationvirtual product development

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Area of Science:

  • Manufacturing Engineering
  • Computational Mechanics
  • Materials Science

Background:

  • Structural optimization of manufacturable casting parts is challenging and time-consuming.
  • Current methods involve iterative manual reconstruction and process assurance simulations.
  • Achieving a balance between structural performance and manufacturability requires significant effort.

Purpose of the Study:

  • To develop an automated method for generating structure- and process-optimized die casting parts.
  • To combine topology optimization (TO) and process assurance (PA) results for improved design.
  • To reduce the manual reconstruction and iteration time in the design process.

Main Methods:

  • Utilizing implicit geometry modeling to integrate structural optimization and process assurance.
  • Developing evaluation criteria to assess design proposals and manufacturability improvements.
  • Automating the iterative process of combining TO and PA results.

Main Results:

  • The automated method significantly enhances the reconstruction of design proposals compared to manual methods.
  • Achieved manufacturability improvements are equivalent or superior to previous work.
  • The approach requires less computational effort, enabling shorter iteration times.

Conclusions:

  • Automating the integration of topology optimization and process assurance streamlines the design of die casting parts.
  • The proposed method offers a more efficient pathway to optimized, manufacturable components.
  • Further development of metamodels is crucial for reducing process assurance effort and accelerating design cycles.