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February 2, 2026Symmetry0 citationsOpen Access

Conformable Fractional Newton’s Law of Cooling for Extended Time Periods

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PMPablo MoreiraOOOthón Ortega

Key Points

  • The aim is to enhance Newton's law of cooling using a conformable fractional derivative for better long-term thermal modeling.
  • Developed a formulation using the conformable fractional derivative for cooling laws.
  • Incorporated fractional time variable tγ for modeling symmetry in time variations.
  • Applied sinusoidal models for varying ambient temperatures.
  • Conducted experimental measurements to evaluate model accuracy against traditional approaches.
  • The conformable model shows significantly improved accuracy compared to integer-order models.
  • Model flexibility allows better adaptation to both constant and non-constant ambient temperatures.
  • Experimental data supports the model's enhanced performance in predicting thermal behavior.

Abstract

This article presents an improved formulation of Newton’s law of cooling using the conformable fractional derivative to model long-term thermal behavior more accurately. A key feature of our approach is the use of the fractional time variable tγ, which introduces a simple scaling symmetry: the structure of the model remains unchanged even when time is proportionally stretched or compressed. This symmetry-based property provides additional flexibility compared to the classical formulation and enables the derivation of analytical solutions under both constant and non-constant ambient temperature. In particular, we incorporate sinusoidal models for ambient temperature to capture realistic environmental fluctuations over extended periods. Experimental measurements confirm that the conformable model achieves significantly better accuracy than traditional integer-order models. These results highlight the relevance of symmetry and fractional calculus in describing physical processes and demonstrate the potential of conformable methods for improving long-term thermal predictions.

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Cite This Study

Moreira et al. (2026) studied this question.

synapsesocial.com/papers/6980fe27c1c9540dea80ff61https://doi.org/10.3390/sym18020250
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