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Related Concept Videos

Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

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Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
511
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

73
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
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Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

112
Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
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Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

92
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
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Conservation of Mass in Fixed, Nondeforming Control Volume01:07

Conservation of Mass in Fixed, Nondeforming Control Volume

895
The principle of conservation of mass is fundamental in fluid dynamics and is crucial for analyzing flow within fixed control volumes, such as pipes or ducts. This principle states that the total mass within a control volume remains constant unless altered by the inflow or outflow of mass through the control surfaces. This results in a vital relationship for steady, incompressible flow where the mass entering a system equals the mass leaving it.
In the case of a sewer pipe, which can be modeled...
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Related Experiment Video

Updated: Jun 4, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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Interval variational approach for production control and waste reduction using artificial hummingbird algorithm.

Subhajit Das1, Adel Fahad Alrasheedi2, Ali Akbar Shaikh3

  • 1Department of Mathematics, Bhagalpur College of Engineering, Sabour, Bhagalpur, India, 813210.

Scientific Reports
|December 20, 2024
PubMed
Summary
This summary is machine-generated.

Companies can now optimize production and reduce hazardous waste using a new Artificial Hummingbird Algorithm. This eco-friendly manufacturing approach balances profit with green product standards, aiding managerial decisions.

Keywords:
AlgorithmArtificial hummingbird algorithmGreen productionImperfect productionInterval variational problemOptimizationSalvageWaste-disposal investment

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Area of Science:

  • Operations Research
  • Environmental Management
  • Computational Intelligence

Background:

  • Growing consumer demand for eco-friendly products necessitates sustainable manufacturing practices.
  • Traditional production methods often generate significant hazardous waste, posing environmental and economic challenges.
  • Companies require effective strategies to balance profitability with environmental responsibility.

Purpose of the Study:

  • To develop an optimization model for managing production processes, minimizing waste, and upholding green product standards.
  • To introduce and evaluate the Artificial Hummingbird Algorithm (AHA) for profit maximization in eco-friendly manufacturing.
  • To compare AHA's performance against other meta-heuristic optimization techniques.

Main Methods:

  • Development of a novel optimization model integrating production management, waste reduction, and green standards.
  • Implementation and application of the Artificial Hummingbird Algorithm (AHA) to solve the profit maximization problem.
  • Comparative analysis of AHA against various established optimization algorithms across multiple case studies.

Main Results:

  • The Artificial Hummingbird Algorithm demonstrated superior performance compared to other optimization techniques in most case studies.
  • The optimization model effectively supports companies in managing production and reducing hazardous waste.
  • Sensitivity analyses provided valuable insights for informed managerial decision-making in sustainable manufacturing.

Conclusions:

  • The Artificial Hummingbird Algorithm is a highly effective meta-heuristic for optimizing eco-friendly manufacturing processes.
  • The developed model offers a practical solution for companies aiming to enhance profitability while adhering to environmental standards.
  • This research contributes to advancing sustainable operations management through innovative computational approaches.