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Related Concept Videos

Steel Manufacturing01:26

Steel Manufacturing

370
Steel manufacturing is a multi-stage process that begins by smelting iron ore into cast iron in a blast furnace. This initial stage involves layering iron ore with coke, a type of fuel, and crushed limestone within the furnace. The coke is ignited with a high volume of air, leading to the creation of carbon monoxide, which acts to reduce the iron ore to pure iron.
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
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Steel Fastening Techniques01:17

Steel Fastening Techniques

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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.
Rivets are cylindrical steel fasteners with a specially designed head. During application, rivets are heated until white-hot and then inserted through pre-drilled holes in the steel sections. A pneumatic hammer is used to shape the exposed end into a second head, securing the sections together.
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Structural Steel Products01:24

Structural Steel Products

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Structural steel products are created within a structural mill. The process begins with a beam blank that is reheated and then fed through a series of rollers. These rollers progressively shape the metal into its final form. Adjusting the spacings between the rollers allows for the production of different sections with the same nominal dimensions.
Once shaped, the steel's final form emerges as a continuous length, which is then segmented by a hot saw into manageable pieces. These segments...
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Portland Cement01:21

Portland Cement

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Portland cement is the essential binding ingredient in concrete, made from finely ground materials including lime, iron, silica, and alumina. Lime is derived primarily from limestone, marble, marl, seashells, and clays, which also supply iron and alumina, while silica is sourced from sand, chalk, and bauxite. Contemporary manufacturing of Portland cement is a significant source of carbon dioxide emissions, prompting research into reducing its content in concrete through alternative...
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Related Experiment Video

Updated: Jun 7, 2025

Generating Lap Joints Via Friction Stir Spot Welding on DP780 Steel
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Research on low carbon welding scheduling based on production process.

Rong Hua Meng1,2, Zan Yang Wang1,2, Wen Hui Zeng3

  • 1Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang, Hubei, China.

Scientific Reports
|November 20, 2024
PubMed
Summary

This study introduces a low-carbon welding scheduling model and an improved Grey Wolf Optimizer (IGWO) to reduce energy consumption and carbon emissions in metal structural parts manufacturing. The IGWO algorithm effectively minimizes makespan and carbon footprint, outperforming other methods.

Keywords:
Carbon emissionsGrey Wolf OptimizerLow carbon welding schedulingMulti-objective optimization

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Area of Science:

  • Industrial Engineering
  • Operations Research
  • Environmental Science

Background:

  • Welding workshops for metal structural parts are significant energy consumers.
  • There is a growing demand for low-carbon and green manufacturing processes.

Purpose of the Study:

  • To address the welding workshop scheduling problem by considering carbon footprints.
  • To develop a bi-objective mathematical model for minimizing makespan and carbon emissions.
  • To propose an improved optimization algorithm for solving the scheduling problem.

Main Methods:

  • A bi-objective mathematical model was formulated to minimize production makespan and carbon emissions.
  • An Improved Grey Wolf Optimizer (IGWO) was designed with strategies for population diversity, convergence, and local optimization.
  • The IGWO algorithm was applied to a welding workshop green scheduling case study.

Main Results:

  • The IGWO algorithm achieved a minimum completion time of 842.14 and carbon emissions of 3.85E+05.
  • The proposed model and IGWO algorithm demonstrated superior performance compared to NSGA-II and GWO.
  • The study confirmed the model's effectiveness in reducing workshop carbon emissions.

Conclusions:

  • The developed mathematical model and IGWO algorithm are effective for low-carbon welding workshop scheduling.
  • The approach successfully balances production efficiency (makespan) with environmental goals (carbon emission reduction).
  • This research contributes to sustainable manufacturing practices in the metal structural parts industry.