"First-Principles Limits in Yarn Manufacturing: Statistical, Mechanical, and Thermodynamic Foundations of Spinning Trade-offs

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Authors: Sujai Balasubramaniam
Cited by: 0

Abstract

arn manufacturing is traditionally treated as an empirical, experience-driven industrial process. However, the limits of yarn quality, productivity, and stability are governed by fundamental physical laws. This paper establishes a unified first-principles framework explaining the intrinsic trade-offs in ring, rotor, and air-based spinning systems. Drawing from statistical mechanics, continuum mechanics, thermodynamics, tribology, and fracture physics, the study demonstrates that key production constraints—such as yarn irregularity, drafting instability, twist–strength optimization, traveler thermal limits, rotor wrapper formation, humidity effects, and fiber damage during cleaning—are not machine-specific limitations but consequences of non-negotiable physical boundaries. The analysis shows that yarn irregularity fundamentally arises from discrete fiber statistics; drafting instability is governed by stochastic frictional fiber dynamics; twist-strength behavior results from geometric helix constraints and frictional cohesion; ring spinning speed is thermodynamically bounded by cubic heat-generation scaling; and rotor spinning defects emerge from centrifugal and aerodynamic transport physics. Additionally, the paper links yarn spectrogram behavior to signal-processing principles, clarifying how measurement window length affects perceived mass variation. By consolidating these mechanisms into a coherent theoretical structure, the work defines the absolute performance boundaries that no spinning technology can surpass. The study reframes yarn manufacturing as a physics-constrained system rather than a purely empirical industrial process.

Fields of Study & Subjects

Textile materials and evaluations Diverse Industrial Engineering Technologies Crafts Textile and Design

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 February 2026
Language
EN