With the increase of customer demand for sustainable products,modular design for function and structural attributes is gradually shifting to sustainable modular design.However,the current method of module partition pays more attention to the optimization iteration of modularity index,ignoring the information transfer and feedback between multiple components.Therefore,a sustainable module partition method based on integrated learning algorithm was proposed.Firstly,a comprehensive DSM model of the product was constructed for recyclability,material similarity and service life of the components.Secondly,the construction rules of the weak classifier and the combination strategy of the strong classifier were proposed based on integrated learning algorithm.Finally,a jaw crusher case was used to verify the feasibility of the proposed method.Compared with direct clustering and genetic algorithm,the results of ensemble learning algorithm are closer to the diagonals of DSM.