In view of the problem that the remanufacturability evaluation index is imperfect in current study, the evaluation index system and the quantitative methods including environment, resource, energy, economy and technology is established. The evaluation method of the remanufacturability based on fuzzy AHP is proposed for the electromechanical products. Finally, an evaluation example of a type of automobile engine is provided to verify the feasibility and practicality of this method.
Considering that the disassembly performance of electromechanical products is determined by multi factors, the multi-index comprehensive evaluation method research is carried out to solve the complex problem of disassembly analysis. The theoretical minimum parts number discrimination model, the disassembly time classification model and the disassembly cost calculation model are proposed in this paper. A comprehensive evaluation system for disassembly is constructed and the evaluation process is established at the angle of evaluation tools developing. Finally, a flywheel institution is evaluated by using the proposed method and the feasibility and practicality of this method is verified.
Biocompatibility has been a major concern in the field of medical implants, and the “stress shielding” effect can be detrimental to the growth of bone cells. In this work, a parametric irregular porous structure model based on bionics design was established. The influence of different parameters on the elastic modulus, compressive strength, average pore size, and porosity was investigated. An optimization model using the grey relational analysis was established by controlling the irregularity, seed points, and strut diameter. With the goal of meeting biological requirements, the optimization results showed that the elastic modulus decreased by 40.21% and the porosity increased by 17.58%. Irregularity had little effect on the elastic modulus, porosity, and average pore size, and it was negatively correlated with compressive strength. The strut diameter and seed points were positively correlated with the elastic modulus and compressive strength but negatively correlated with the porosity and average pore size, and the seed count had the largest impact. By adjusting these parametric models, the optimization factors were obtained based on the elastic modulus, porosity, average pore size, and compressive strength of human bone. These results provide theoretical guidance for studying the mechanical properties of irregular porous structures fabricated via selective laser melting.
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