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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
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Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
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Related Experiment Video

Updated: May 30, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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A shared value network model based on synergy theory in intelligent manufacturing.

Pingping Gu1, Jiahui Yu2, Xianzhong Zhou2

  • 1School of Transportation and Civil Engineering, Nantong University, Nantong, China.

Heliyon
|January 30, 2025
PubMed
Summary

This study introduces a shared value network model to enhance resource utilization in intelligent manufacturing. The proposed model optimizes operations to meet market demands and maximize value gain in the manufacturing industry.

Keywords:
Intelligent manufacturingShared valueSynergy theoryValue chain

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Area of Science:

  • Manufacturing Engineering
  • Operations Research
  • Systems Theory

Background:

  • Intelligent manufacturing is a growing trend driven by technological advancements.
  • Traditional business models struggle with optimal resource utilization.
  • There is a need for innovative models to address these limitations.

Purpose of the Study:

  • To propose a novel shared value network model for intelligent manufacturing.
  • To optimize resource allocation and value creation within the manufacturing sector.
  • To enhance the efficiency of the manufacturing industry through a synergistic approach.

Main Methods:

  • Development of a three-layered shared value network model: resource network layer, value connection layer, and resource coordination layer.
  • Application of synergy theory as the foundational principle for the model.
  • Utilization of coordination theory and priority strategies for operational mechanism design and optimization.

Main Results:

  • The proposed shared value network model effectively integrates resources and value creation.
  • The optimization scheme successfully addresses market demands and maximizes value gain.
  • Verification through an industrial case study confirms the model's practical effectiveness.

Conclusions:

  • The shared value network model offers a viable solution for resource maximization in intelligent manufacturing.
  • Synergy theory provides a robust framework for designing efficient manufacturing operations.
  • The model demonstrates significant potential for improving the performance of the manufacturing industry.