Paint sludge is a waste with potential carcinogens, and its disposal via landfilling, incineration and conversion to other materials is limited. For proper disposal, paint sludge was investigated by thermogravimetric study and was blended with lignite in 70:30, 60:40, 50:50 percentage ratios respectively. Kinetics was computed by Freeman–Carroll and Sharp–Wentworth methods and the activation energy was found in the range of 126–175 kJ/kg and 18–75 kJ/kg respectively. The solid-state reaction mechanism was investigated by Kennedy–Clark and Coats–Redfern methods and was validated by master plot method. Second-order reaction mechanism (F2) was followed by paint sludge up to 0.5 conversion and after that it followed two-dimensional diffusion–reaction mechanism (D2) in the degradation process. Blending of paint sludge with lignite coal shifted the reaction mechanism of contracting volume (R3) up to 0.5 conversions and after that, it followed the same mechanism (D2) in the co-combustion process. The percentage contribution of paint sludge in the thermal degradation of blends was 70.71% and was confirmed by principal component analysis. Response Surface Methodology (RSM) revealed the optimum degradation zones and its empirical relations with temperature and blend ratios respectively. Artificial Neural Network (ANN) modeling suggested four models with multi-layer perception carrying 22 neurons fit for the study.

油漆污泥是具有潜在致癌物的废物，通过填埋，焚烧和转化为其他材料进行处理的过程受到限制。为了正确处理，通过热重研究对油漆污泥进行了研究，并分别以70：30、60：40、50：50的比例与褐煤混合。动力学是通过Freeman-Carroll和Sharp-Wentworth方法计算得出的，其活化能分别为126-175 kJ / kg和18-75 kJ / kg。固态反应机理通过Kennedy–Clark和Coats–Redfern方法进行了研究，并通过主图解法进行了验证。二阶反应机理（F2）之后是油漆污泥，转化率高达0.5，然后在降解过程中遵循二维扩散反应机理（D2）。油漆污泥与褐煤的掺混将收缩体积（R3）的反应机理转移至0.5转化率，此后，在共燃烧过程中遵循相同的机理（D2）。油漆污泥在共混物热降解中的贡献率为70.71％，这已通过主成分分析得到证实。响应面法（RSM）揭示了最佳降解区及其与温度和混合比的经验关系。人工神经网络（ANN）建模提出了四个带有22个神经元的多层感知模型，适合进行这项研究。油漆污泥在共混物热降解中的贡献率为70.71％，这已通过主成分分析得到了证实。响应面法（RSM）揭示了最佳降解区及其与温度和混合比的经验关系。人工神经网络（ANN）建模建议采用带有22个神经元的多层感知的四个模型适合该研究。油漆污泥在共混物热降解中的贡献率为70.71％，这已通过主成分分析得到了证实。响应面方法论（RSM）揭示了最佳降解区及其与温度和混合比的经验关系。人工神经网络（ANN）建模建议采用带有22个神经元的多层感知的四个模型适合该研究。