Study on the design of a new pyrolysis wire test chamber based on the double helix thermal desorption particle...

In pyrolysis effect tests, pyrolytic wires face challenges such as complex pyrolysis products, low particle separation accuracy, and signal susceptibility to interference. Traditional methods, lacking controllable pyrolysis and dynamic separation mechanisms, result in poor experimental reproducibility and weak data correlation. Current research often focuses on the intrinsic properties of materials while neglecting the integrated design of test equipment, urgently requiring the construction of high-precision, intelligent pyrolysis testing platforms. To address this, a pyrolysis particle separation test chamber based on a double helix thermal desorption particle separator is proposed, integrating controllable pyrolysis, dynamic particle separation, and closed-loop feedback testing functions. The pyrolysis reaction module uses dual-mode heating with induction/resistance, combined with a double helix separator to achieve particle sorting based on size, density, and charge differences through centrifugal force fields, pyroelectric effects, and external electromagnetic fields. Multi-material thermal stability tests show that high-temperature silica gel has optimal temperature stability during the initial thermal response phase, with a steady-state temperature drop of 0.3 °C; copper enameled wire has a thermal hysteresis coefficient of 0.99 and an energy dissipation rate of 0.22 W/m·K. Energy efficiency comparisons indicate that the input power fluctuation is only 2.0 kW, with total energy consumption of 62 kWh, reducing by 47.5% compared to traditional methods. The separation efficiency reaches 0.88 at a rotational speed of 3000 r/min. Under different parameter couplings, the pyroelectric signal peaks at 0.08 pC at an angle of 18° and an electric field strength of 300 V/m, verifying the multi-field collaborative optimization mechanism. The proposed scheme solves the problems of the uncontrollable pyrolysis process and low separation efficiency through intelligent regulation and modular coordination, and significantly reduces energy consumption. It provides a quantifiable and reproducible experimental platform for the performance research of pyroelectric materials, and promotes its engineering application in fire warning, cable fault diagnosis, and other fields.